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Review

Greenhouse Gases Emissions of Constructed Wetlands: Mechanisms and Affecting Factors

1
School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
2
Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
3
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
4
Yangtze River Delta Research Center for Eco-Environmental Sciences, Yiwu 322000, China
5
Am Incorporation for Metrology and Testing Technology Services, Beijing 100076, China
6
Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
*
Authors to whom correspondence should be addressed.
Water 2023, 15(16), 2871; https://doi.org/10.3390/w15162871
Submission received: 29 June 2023 / Revised: 4 August 2023 / Accepted: 7 August 2023 / Published: 9 August 2023

Abstract

:
Constructed wetlands (CWs) widely applied for wastewater treatment release significant greenhouse gases (GHGs), contributing to global warming. It is essential to characterize the comprehensive source-sink effects and affecting factors of GHGs in CWs, offering references and guidance for designing and operating CWs to better control GHG emissions. However, current reviews focus on individual GHG emission mechanisms. With the aid of the Web of Science Core Collection database, the relevant literature on carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) emissions in CWs after 2010 was collected and organized. As highlighted in the review, CWs can produce and transmit these GHGs into the atmosphere, forming sources of GHGs and sequestration CO2 through plants photosynthesis, forming sinks of GHGs. Their overall performance depends on many factors. Hybrid CWs, Cyperus papyrus, Cyperus alternifolius, and Iris pseudacorus, adsorption substrates like Fe-C, low temperatures, and a C/N ratio of five are beneficial for GHG mitigation in CWs. Future studies should focus on in-depth research into the mechanisms and overall source-sink benefits of plants and microorganisms in relation to GHGs. This review provided a comprehensive understanding of the emission mechanisms and affecting factors of the major GHGs in CWs, bridging the research gap in this field, helping researchers to clarify the context, and providing valuable in-sights for further scientific investigations.

1. Introduction

Global climate change is one of the most critical challenges facing humanity today [1], largely driven by greenhouse gas (GHG) emissions [2], profoundly impacting both Earth’s ecosystems and human society’s sustainability [3]. Among the numerous GHGs, carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) are the most extensively studied due to their significant emissions and potent greenhouse effects, with a 70%, 23%, and 7% contribution to the greenhouse effects, respectively [4,5,6]. CO2, mainly from burning fossil fuels [7], has the most serious and significant global warming effect due to its huge and far greater total emissions than other GHGs. CH4 is the second most abundant GHG after CO2, and its warming potential is 25 times larger than CO2 over a 100-year time horizon [8]. A 1-fold increase in atmospheric CH4 concentration was reported to result in 0.2–0.3 degrees of surface warming in the tropospheric, posing serious risks to human and environmental health [9]. However, the lifetime of CH4 is only about 10 years, so its emission reduction can realize the purpose of restraining rapid global warming in a short time [10]. Although N2O is emitted less in CWs, the greenhouse effect of N2O is 296 times larger relative to CO2 over a 100-year time horizon, and its remaining time in the atmosphere is 120 years [11]. Even a small increase in N2O emissions may make a non-negligible contribution to global warming. Since industrialization, human activities have significantly increased the emissions of GHGs [12]. The Intergovernmental Panel on Climate Change (IPCC) (one of the important international organizations established to address climate change) has highlighted that the levels of GHGs in the air continue to rise, and the world is warming faster than ever in at least the last two thousand years [13,14,15,16].
For years, efforts to mitigate GHG emissions have been ongoing worldwide. Within China, research efforts have focused on measuring and monitoring GHG emissions in various industries, leading to the establishment of national GHG inventories and emission baselines [17,18,19]. Chinese government policies have promoted clean energy development, energy conservation, and the establishment of a carbon trading market, incentivizing emission reduction [20,21,22,23,24,25,26,27]. Internationally, considerable progress has been made in the development and application of carbon capture and storage (CCS) technologies [28,29,30]. Advanced models and methodologies have been developed to estimate GHG emissions and their potential impacts [31,32,33,34]. Additionally, studies on the carbon cycles of ecosystems, such as forests, wetlands, and oceans, have been conducted to understand their roles in GHG balance [35,36,37,38]. Global cooperation has fostered data sharing and collaborative transnational projects [39,40,41].
Unexpectedly, in these efforts, constructed wetlands (CWs), seemingly beneficial for various wastewater treatment [42,43,44,45,46,47,48], cost-effectively, have emerged as an unsuspected source of GHG emissions, warranting attention [49,50,51,52,53]. A literature analysis of 158 papers from 1994 to 2013 showed that the median values of CO2, CH4, and N2O emission flux in CWs are 95.8~137.0 mg·m−2·h−1, 3.0~6.4 mg·m−2·h−1, and 0.09~0.13 mg·m−2·h−1, respectively [54]. Lishan Tan et al. [55] proposed that CWs significantly increased the CH4 emissions compared to those of natural wetlands. In addition, several studies indicated that in terms of unit sewage, the total GHG emissions of surface flow CWs and horizontal subsurface flow CWs are significantly higher than that of most activated sludge processes [56,57,58].
In order to mitigate the consequences of global warming, controlling GHG emissions has become one of the urgent tasks of mankind. The Paris Climate Agreement proposed to pursue efforts to limit global warming to less than 1.5 degrees C above pre-industrial levels by the end of this century [59]. Considering the rapid spread of CWs worldwide, evaluating the source-sink effects of GHGs presented by the system is essential. However, there is still a research gap in the comprehensive review of the source-sink effects, emission mechanisms, and affecting factors of the three major GHGs in CWs. This paper aims to fill this gap by collecting and reviewing relevant literature on GHG emissions in CWs over the past decade. Based on the literature review, the paper systematically provided an overview of the types, structures, and water purification mechanisms of CWs, organized and summarized the source-sink effects, emission mechanisms, and affecting factors of CO2, CH4, and N2O in CWs, and presented future research prospects.

2. CWs and Their Source-Sink Effects on GHGs

2.1. Overview of CWs

CWs are nature-like systems that combine vegetation (emergent, floating, or submerged), substrates (rocks, soils, synthetic materials, among others), and microbial communities [60,61], achieving water purification using the joint action of plant uptake, microbial activity, and substrate adsorption under controlled environment [62]. According to design structures and flow direction, CWs are divided into three major groups, as represented in Figure 1. Free water surface flow constructed wetlands (FWS CWs); horizontal subsurface flow constructed wetlands (HSSF CWs); vertical subsurface flow constructed wetlands (VSSF CWs) [63]. Hybrid-constructed wetlands (HCWs) systems combine these three kinds of CWs differently, aiming to achieve a higher treatment [64].

2.1.1. Free Water Surface Flow Constructed Wetlands (FWS CWs)

FWS CWs are shallow water-filled basins typically containing 20–30 cm of rooting soil. They feature open water areas with a 20–40 cm depth, often with over 50% of the surface covered by floating, submerged, and/or emergent plants [63]. The FWS CWs operate most similarly to a natural wetland [65], where water flows in a push stream with a low reoxygenation rate, making most of the area in the filler anaerobic [66]. In this type of CW, plants are not usually harvested, and their litter can provide essential organic carbon for denitrification [67]. Suspended solids are efficiently eliminated through the combined processes of settling and filtration facilitated using the dense vegetation [68]. Nitrogen is primarily eliminated through nitrification (in the water column) and subsequent denitrification (in the litter layer), along with ammonia volatilization triggered by algal photosynthesis, particularly under higher pH levels [63].

2.1.2. Horizontal Subsurface Flow Constructed Wetlands (HSSF CWs)

HSSF CWs are composed of gravel or rock beds, typically with a depth of 0.6–0.8 m, to facilitate plant root growth. These beds are planted with emergent macrophytes such as Phragmites australis, Calamus, Cattails, Scallions, etc. [69], and sealed with an impermeable layer to prevent seepage and ensure regulated outflow [70]. The wastewater enters through the inlet and moves slowly through the porous medium beneath the bed’s surface, following a horizontal path to the outlet. It is collected at the outlet and controlled before being discharged through a water level control structure [71]. In these systems, plants and rhizosphere microorganisms form a symbiotic relationship. Plants provide organic matter and oxygen to microorganisms through root exudations and oxygen release [72]. In return, rhizosphere microorganisms expand the absorption range of plant roots by establishing connections with plants, providing them with water and minerals that are challenging to obtain, and protecting plants against weed space competition and certain diseases [73]. Anoxic/anaerobic processes play a crucial role in HSSF CWs due to the permanent saturation of the bed [74]. Suspended solids are retained mainly by filtration and sedimentation [75]. Organic compounds are primarily removed via microbial degradation under anoxic/anaerobic conditions [76]. Denitrification is the main pathway for nitrogen removal, while ammonia removal is limited by oxygen availability in the filtration bed [63].

2.1.3. Vertical Subsurface Flow Constructed Wetlands (VSSF CWs)

VSSF CWs typically comprise a graded gravel bed (Ø approximately 30–60 mm) overlaid with sand (Ø approximately 6 mm) and are planted with the same species of emergent macrophytes as HSSF CWs [77]. In contrast to HSSF CWs, this type of CW is intermittently fed with a substantial volume of wastewater, resulting in surface flooding. The water then slowly infiltrates the bed and is gathered using a drainage network at the bottom until the bed is completely emptied, facilitating air replenishment [78]. This feeding method increases the oxygen transfer rate and has a strong reoxygenation capacity, leaving the bed mostly aerobic and, therefore, providing suitable conditions for nitrification but not for denitrification, resulting in high nitrate effluent [79]. VSSF CWs are also very effective in removing organics and suspended solids [80]. Regarding sewage treatment per population equivalent (PE), VSSF CWs require less land than HSSF CWs [54]. Moreover, both VSSF and HSSF CWs equipped with bed insulation capacity can function in colder climates compared to FWS CWs [54].

2.2. CWs’ Source-Sink Effects on GHGs

The role of CWs in global climate change is complex due to their potential to act as both a source and sink of GHGs. In the CW system, plants convert atmospheric CO2 into organic matter through photosynthesis and fix it in the sediment [81]. Although some of this can be quickly recycled into the atmosphere via respiration, much is also incorporated into the organic carbon of the sediment via microbial assimilation, filler absorption, and plant action like plant litter accumulation [54]. The anaerobic environment in the sediment makes the organic matter lack oxidation conditions and slows the decomposition rate [82]. This organic carbon accretion in sediment makes CWs a greenhouse gas sink [83]. The combination of elevated water tables, high productivity, and lower decomposition has led to significant carbon storage in sediment, especially in high-latitude wetlands [84]. CWs are a source of GHGs via releasing CH4 and N2O from wastewater and sediment into the atmosphere [55]. The predominantly anaerobic and N-rich environment is particularly favorable for the methanogens (specialized anaerobic archaea) and nitrogen-cycling bacteria production of these two gases [49]. There is no consensus on whether CWs are the source or sink of GHGs. Some studies have shown that most CWs are sinks of CO2 equivalents (CO2 (eq)) [77]. In this case, the CO2 (eq) plant biomass immobilization overcomes the GHG emissions, showing a sink effect [77,85]. On the contrary, some studies have shown that most CWs are sinks of CO2 and sources of CH4 and N2O [38,55], but they show a source effect of GHGs in general since the warming potential of CH4 and N2O are much greater than that of CO2 [86]. Brix et al. [87] proved that because of the different infrared absorption characteristics and atmospheric longevity of CH4 and CO2, Phragmites australis wetlands may be regarded as a source for GHGs on a short time scale (<60 years), but as a sink for GHGs if evaluated over longer time scales (>100 years) [88]. Whether CWs are a source or sink of GHGs is affected by several factors, including CW type and age, plant presence and species, substrate type, environmental conditions, feeding strategy, etc. [77,84]. For example, Wu et al. [89] found that the planted CW was a net CO2 sink, while the unplanted CW was a net CO2 source. These factors indirectly affect carbon sequestration and GHG emissions by influencing microbial activities [90]. Multiple factors work together in the complex system of CWs to determine their impact on GHG emissions and carbon sequestration. Therefore, understanding the mechanisms and affecting factors of GHG emissions in CWs is vital for increasing CWs’ role as sinks and decreasing their role as sources of GHGs.

3. GHG emissions Mechanisms of CWs

3.1. Emission of CH4 and CO2 in CWs

Both CO2 and CH4 are carbon-based GHGs, which are produced by the metabolism and transformation of organic matter mainly from wastewater, substrate (soil), plant biomass, litter, dead wood, and root exudates formed via plant fixation of CO2 in CWs systems [91,92]. CO2, the most critical GHG, is influenced by the combined functions of plants and soils in controlling their atmospheric concentration. During photosynthesis, plants assimilate atmospheric CO2 and convert it into sugars and other carbon compounds. These carbon compounds are subsequently transferred to the soil through root exudates, litter, etc. Later, through the respiration of plants, microorganisms, and soil animals, as well as the chemical oxidation of carbon-containing substances, CO2 is generated and released back into the atmosphere [93]. The CO2 emitted in the process of biological cycling from the carbon absorbed by plants of CWs during photosynthesis is of biogenic origin; this part was generally not included in national total emissions [94,95]. The net emission of CH4 is determined by its production, transport, and oxidation processes [96], as shown in Figure 2.

3.1.1. Production of CH4 in CWs

The emission of CH4 from CWs to the atmosphere depends on the balance of activities of methanogen and methanotrophs [97]. Recently, different mechanisms of methane production and oxidation have been discovered.
According to the classical methane-producing mechanism, under anaerobic conditions, anaerobic hydrolytic microbes, fermentative microbes, and hydrogen-producing acetogens can decompose organic matter into simple inorganic (e.g., CO2 and H2) and organic compounds (e.g., acetate) that are subsequently converted to CH4 via methanogens [98]. Methanogenic archaea are the earliest prokaryotic microorganisms of life on Earth and the major contributors to global atmospheric methane emissions [99]. The methanogens found so far belong to Euryarchaeota, which consists of 7 orders, namely Methanopyrales, Methanococcales, Methanobacteriales, Methanomicrobiales, Methanosarcinales, Methanocellales and Methanoplasmatales/Methanomassiliicoccales [100,101,102]. Methanogens have a narrow trophic range, primarily utilizing a small set of simple substrates, including H2 + CO2, acetate, formate, methylated compounds (such as methanol, methylamines, and dimethylsulfur), as well as primary and secondary alcohols [103]. As a result, these archaea often work with bacteria, which degrade complex organic matter into small molecules in an anaerobic environment that are then used by methanogenic archaea to produce CH4. Based on the type of small molecule substrate utilized, archaeal methanogenesis can be categorized into three well-known metabolic pathways: H2/CO2 reduction, acetic acid fermentation, and methyl compound cracking [104]. Studies have indicated that the hydrogenotrophic pathway is energetically more advantageous for methanogenesis compared to the acetoclastic pathway [105]. In contrast, the dominance of the acetoclastic pathway has been observed in freshwater wetland ecosystems, contributing to over 67% of CH4 emissions [106]. Additionally, a new study published in Nature suggested that the archaeon ‘Candidatus Methanoliparum’ alone can combine the degradation of long-chain alkanes with methanogenesis without the help of bacteria, and this alkylotrophic methanogen may have a crucial role in the transformation of hydrocarbons into methane [107].
Well into the 21st century, people have realized biogenic methane formation is far more complicated than this story. Methanogenic archaea are not the only ones that can produce methane, and the reaction conditions are not limited to anaerobic environments. In a new study in Nature journal, a team led by the University of Heidelberg in Germany has developed a subversive idea. All living cells possess a common mechanism of CH4 formation that is based on interactions among reactive oxygen species (ROS), iron, and methyl donors, opening new perspectives for understanding biochemical CH4 formation and cycling. This reaction does not require enzymes, and the process is not complicated, as shown in Figure 3. First, ROS reacts with ferric ions to produce highly reductive hydroxyl radicals (·OH), which then react with a methyl donor to form a methyl radical (·CH3), and finally, the methyl radical combines with the hydrogen radical (·H) to produce methane molecules. The contribution of this reaction to CH4 emissions remains uncertain. Factors such as heightened metabolism, elevated temperatures, introduction of external reactive oxygen species, and inflammatory responses can amplify the production of CH4 through this mechanism [108]. Certain terrestrial plants that produce CH4 have been utilized in CW applications, including Phragmites australis and Thalia dealbata. Plants have been reported to produce CH4 to defense against environmental stress factors, including cutting damage, elevated temperatures, UV radiation, and disruption of cytochrome c oxidase activity [109]. When plants initiate stress responses, excessive production of ROS, such as H2O2, can occur within plant cells, intensifying the breakdown of cellular components and ultimately resulting in CH4 production [110]. Nevertheless, investigating CH4 emissions from hydrophytic plants in CWs under aerobic conditions remains unexplored, indicating a critical knowledge gap that necessitates further research [104].

3.1.2. Transport of CH4 in CWs

Methane produced in CWs is transported in three main ways: molecular diffusion from the water and substrate column, ebullition flux process from the substrate column, and plant-mediated CH4 transport from the substrate column via plant aerenchyma [111], among which the third is the primary way of CH4 release, accounting for about 70% of the total-CH4 emissions [112]. Ebullition produces three-fold more CH4 fluxes than molecular diffusion [113]. Plant-mediated CH4 transport mechanisms can be categorized into molecular diffusion or convective transport processes, where oxygen is transported to the roots. At the same time, gaseous microbial by-products are released from the plant roots into the atmosphere [114]. Generally, convective transport processes exhibit incredible speed than molecular diffusion processes [115].

3.1.3. Oxidation of CH4 in CWs

During the CH4 transport process, it can be oxidized through aerobic or anaerobic pathways, an important factor affecting the CH4 flux in CWs.
The aerobic oxidation of CH4 conducted by bacteria called methanotrophs primarily occurs at micro interfaces where CH4 and O2 coexist, such as substrate-air interface, water-air interface, the rhizosphere, and internal tissues of plants [113], with rapid reaction rates, depending on the concentration of O2 [116]. The aerobic oxidation of CH4 is widely recognized as the primary CH4 sink within the wetland system, effectively oxidizing over 50% of the CH4 generated in CWs [117].
Anaerobic oxidation of methane (AOM) is a process for anaerobic oxidation of methane via microbes using electron acceptors other than oxygen, such as sulfate (sulfate-reduction-dependent anaerobic methane oxidation, SAMO), NO2/NO3 (nitrite-dependent anaerobic methane oxidation), metal oxides (e.g., Fe3+ and Mn4+ anaerobic methane oxidation, metal-AOM), and direct interspecies electron transfer [118,119]. The above AOM reaction can be expressed by the following chemical Equations (1)–(5). In addition, Valenzuela et al. used isotope experiments to show that CH4 anaerobic oxidizing bacteria can also couple the reduction in natural organic humus in 2017 [120]. Some studies believe that AOM is a neglected CH4 sink. Guerrero-Cruz et al. found that AOM can reduce CH4 emission by more than 50% in a study on freshwater wetlands [119].
CH4 + SO42− + H+ → CO2 + HS + 2H2O
3CH4 + 8NO2 + 8H+ → 3CO2 + 4N2 + 10H2O
5CH4 + 8NO3 + 8H+ → 5CO2 + 4N2 + 14H2O
CH4 + 4MnO2 + 7H+ → HCO3 + 4Mn2+ +5H2O
CH4 + 8Fe(OH)3 + 15H+ → HCO3 + 8Fe2+ +21H2O
Most of the CH4 produced in CWs is oxidized to CO2. Brix et al. investigated the annual carbon flux of Phragmites-dominated wetlands in Denmark and found that the annual fixed CO2 of the CW was 98 mol/m2. Of this, 17 mol/m2 is converted to CH4, while 76% of them is oxidized to CO2, and only 4 mol/m2 is finally discharged from the CW system [87], as shown in Figure 4. The abundance, composition, and activity of methanogens and methanotrophs are essential determinants of methane emissions [121]. Options to reduce CH4 emissions mainly rely on reducing CH4 production and promoting CH4 oxidation [54]. It is affected by CW type, plant species, substrate type, O2 supply, available carbon source, salinity, etc. Methyl coenzyme M reductase (mcrA) and particulate methane monooxygenase (pmoA) are critical enzymes in CH4 production and oxidation, resulting in their use as phylogenetic biomarkers for methanogens and methanotrophs [122].

3.2. Emission of N2O in CWs

Most studies have suggested that N2O in the CW system is formed in the process of nitrifying and denitrification via microorganisms, as shown in Figure 5. Inorganic autotrophic microorganisms perform the complete nitrification process and consist of two processes. The first process is the oxidation of ammonia nitrogen to nitrite via ammonia-oxidizing bacteria (AOB). The catalytic enzymes of this process include ammonia monooxygenase (Amo) and hydroxylamine oxidoreductase (Hao) [123]. The second process is the oxidation of nitrite to nitrate via nitrite-oxidizing bacteria (NOB). The key enzyme of this process is nitrite oxidoreductase enzyme (Nor). In the first process, NH4+ is oxidized to NH2OH by Amo, then NH2OH is catalyzed by Hao and generates nitroxyl (HNO) as an intermediate. HNO reacts with another NH2OH molecule, then dimerizes into hyponitrous acid (H2N2O2), and finally chemically decomposes to form N2O [124]. N2O can also be generated through a bio-abiotic coupling process involving the interaction of HNO2 and NH2OH [125]. Hence, the N2O generated from AOB nitrification becomes particularly significant during the shift from aerobic to anaerobic conditions and should not be disregarded [126]. Denitrification is a continuous process (NO3 → NO2 → NO → N2O → N2) in which denitrifiers reduce NO3 to N2 under low oxygen or anaerobic conditions, and N2O is produced as a conventional intermediate product [127]. The catalytic enzymes of this process include nitrate reductase (Nar), nitrite reductase (Nir), nitric oxide reductase (Nor), and nitrous oxide reductase (Nos). The production of N2O in the denitrification process can be attributed to two possible reasons. Firstly, the activity of Nos is influenced by factors such as dissolved oxygen, pH, carbon source, and toxic substances, leading to the accumulation of N2O [128,129,130]. Secondly, certain denitrifiers like Pseudomonas fluorescens lack Nos, causing N2O to be the final product of their denitrification reaction [131].
CWs are a chimera of aerobic, anaerobic, and anoxic microbial sites. In addition to the traditional nitrification and denitrification, a variety of advanced N-removal processes also occur here, including dissimilatory nitrate reduction to ammonium (DNRA), simultaneous nitrification-denitrification (SND), denitrification by nitrifiers, denitrification by aerobic denitrifiers, etc. In recent years, more and more studies have focused on the production of N2O in these advanced N-removal processes. DNRA involves the transformation of nitrate into bioavailable ammonium salts in anaerobic environments, accompanied by the production of N2O. This process typically occurs in a low redox potential environment. The unique structure of CWs results in extensive anaerobic zones within their interior, providing favorable conditions for DNRA [132]. The amount of N2O produced by SND is less than that produced by sequential nitrification and denitrification, and the amount of N2O is also influenced by the concentration of dissolved oxygen and the amount of carbon source [133]. Denitrification by nitrifiers is incomplete nitrification; that is, nitrifiers oxidize ammonia to nitrite and then use nitrite as an electron acceptor to generate N2O, NO, and N2 (NH4+ → NO2 → NO → N2O → N2). Studies have shown that this reaction tends to occur in high nitrogen, low carbon, low oxygen, and low pH environments [134]. In the nitrification system, in addition to nitrifier denitrification, aerobic denitrifiers may also be another reason for the reduction in nitrite under aerobic conditions to produce N2O. The end product of some aerobic denitrifiers was reported only as N2O [135]. The amount of N2O produced by denitrifiers in aerobic conditions exceeds that generated in anoxic conditions, likely due to oxygen’s inhibition of N2O reductase. The extent of aerobic denitrifiers’ contribution to N2O production remains uncertain.
The main pathway of N2O production still needs to be clarified. Some studies suggest that the process of N2O produced by NH2OH oxidation is minimal, whether it is a chemical or biological reaction [136]. Li et al. further reported that denitrification is the main reason for stimulating N2O emission [137]. In comparison, Chen et al. indicated that the aerobic stage in most wastewater treatment systems is the primary source of N2O production [138].
Nitrous oxide produced in CWs is transmitted to the atmosphere through diffusion, ebullition, and plant ventilation. Plants can also fix nitrogen in the air through nitrogen-fixing bacteria, thus providing a source of N2O [139].

4. Affecting Factors of GHG Emissions in CWs

4.1. Type and Age of CWs

The differences in GHG emissions among different types of CWs can be attributed to variations in their internal dissolved oxygen (DO) levels and redox potential, which are determined by their structure (water table position) and feeding strategy. Most studies have indicated that the CH4 emissions from subsurface flow CWs are significantly lower than those from FWS CWs, and within subsurface flow CWs, the emissions are lower in VSSF CWs compared to HSSF CWs [140,141]. This is because VSSF CWs have a suitable aerobic/anaerobic interface due to intermittent flooding, which is beneficial for both aerobic methane oxidation and AOM processes [142]. FWS CWs are mainly in an anoxic state, and HSSF CWs have anoxic-anaerobic conditions, showing negative Eh level (−100 mV to 500 mV) and low dissolved oxygen (DO) concentration (<2 mg/L) [143], which facilitates the anaerobic production of CH4 [77]. Furthermore, in subsurface flow CWs, where the water table is below the substrate surface, CH4 emissions are reduced as the produced CH4 undergoes oxidation during its movement through the water layer via diffusion and ebullition [113]. In surface flow CWs with a high water table, CH4 emissions are increased as they enter plant root systems in the deeper anaerobic layer and are transported to the atmosphere through the aerenchyma [144]. However, the aerobic/anaerobic interface intensified the activity of N2O during nitrification and the activity of nitrous oxide reductase during denitrification, which intensified the production of N2O and inhibited the further reduction of N2O to N2, resulting in the accumulation of N2O. Thus, the N2O emission of VSSF was generally higher than that of FWS CWs [145]. According to Liu et al., the FWS CW exhibited the highest CH4 emission rate (36.6 mg·m−2·d−1) and the lowest N2O flux (0.1 mg·m−2·d−1). In contrast, the VSSF CW showed the lowest CH4 emissions but the highest N2O flux (2.2 mg·m−2·d−1). The combined VF-SF-FWS constructed wetlands demonstrated relatively efficient nitrogen and phosphorus removal and had a lower global warming potential than any single wetland type [146,147]. Several reports have highlighted hybrid CWs’ advantages in terms of both water purification and reduction in GHG emissions [54,148]. There are few long-term research papers on the effect of CW age on GHG emissions. A study showed that CO2 and CH4 increase with the age of operation of CWs within 10 years, probably due to the accumulation of organic matter, while N2O emissions remain unchanged, and the average temperature increases by 3 °C after 10 years of operation [149]. At the same time, most studies suggest that over longer timescales (>100 years), CWs act as a sink of GHGs [87,88].

4.2. Plant

Plants play many vital roles in CWs, not only influencing microbial processes and their by-products via the release of oxygen and available carbon from plant roots to the soil but also acting as a significant transport channel for GHG emissions into the atmosphere. In addition, plants fix CO2 from the atmosphere into sediments via photosynthesis. Therefore, the effect of plants on GHG emissions in CWs is complex, which can either increase or decrease GHG release [54], depending on the presence, species, richness, growth situation, harvest of plants, etc.
The effects of plant presence on GHG emissions from CWs could be more consistent. Some studies have shown that the low molecular weight organic matter exudated via plant roots provides substrate and energy for microbial activities and promotes the production of GHGs [54,150]. It is suggested that CO2 fluxes are higher in planted CWs than unplanted CWs. The number of AOB bacteria around the roots of planted CWs is greater than that of unplanted CWs, thus increasing the release of N2O, and N2O emissions increase with plant species richness [151]. The presence of vascular plants was reported to lead to significantly higher total respiration rates than un-vegetated control plots [152]. However, some studies indicated that the organic matter exudated by plants provides sufficient carbon sources for the denitrification process, which reduces the release of N2O [153]. The plant rhizosphere’s aerobic environment stimulates methanotroph growth, which is conducive to the oxidation of CH4 [154]. Planted CWs mainly acted as the carbon sink (about 13,000 mg·m−2·d−1 net CO2 absorption flux) and could cover the emission of N2O and CH4 (maximum 12.24 mg·m−2·d−1 and 2.52 mg·m−2·d−1, respectively) [155].
The impact of plant diversity on GHG emissions is also controversial. Several studies have observed a positive correlation between CH4 emissions and plant species diversity [156], as high species diversity increases carbon source availability and promotes CH4 emissions [109]. In contrast, some studies have also found that plant species diversity has no significant influence on CH4 emissions [157]. Additionally, research indicates that plant diversity can enhance carbon sequestration within the substrate, effectively offsetting the global warming potential associated with CH4 and N2O emissions. This phenomenon also promotes the transformation of CWs from carbon sources to carbon sinks [156].
In conclusion, this variation is potentially due to plant species variation. Different plant species show different GHG productivity. Some plants provide aerenchyma to transport O2 to the plant rhizosphere, promoting methane oxidation in the micro-oxygen environment, such as Cyperus papyrus and Cyperus alternifolius [53,140]. In contrast, certain plant species, such as Juncus effusus, possess remarkable abilities to transport GHGs. They can directly transport CH4, generated within anaerobic environments, to the atmosphere, bypassing the aerobic soil layer and increasing methane emission [144,158]. In addition, some plants have a strong carbon sequestration ability and could cover the emission of nitrous oxide and methane, acting as the carbon sink, such as Iris pseudacorus [155].
During the growing season, microorganisms preferentially utilize the small molecular organic matter secreted by the plant roots, while the plant’s lignified rhizome biomass is deposited in the substrate as refractory carbon during other times of the year [159]. It has been observed that plants tend to promote the release of CH4 and N2O during the growing period, and the release of CH4 and N2O decreases after stem wilt [143], while studies have also shown that the CH4 produced by plant litter entering wetland systems accounts for 40% of the total release, which is an important reason for the increase in GHG emissions [160]. Upon harvesting the plant, the CH4 stored in the plant root system is rapidly released, and the plant stems are directly exposed to the air, leading to an immediate increase in CH4 release [161].

4.3. Substrate

The role of traditional substrates in CWs is mainly to adsorb pollutants and support microbes and plants [97], including soil, sand, gravel, ceramsite, etc. Among them, soil and fine sand exhibit a higher water retention capacity, limiting oxygen transmission to the system and resulting in an anaerobic environment, which increases the amount of CH4 released [162]. Recently, some novel substrate amendment schemes have been applied in CWs to improve the treatment efficiency of CWs. Carbon-rich substrates like biochar [53,94] promote CH4 production, but they also stimulate plant roots to secrete more oxygen, enhancing methane oxidation [163]. The overall impact of biochar on CH4 emissions is still uncertain, emphasizing the necessity for additional research to elucidate the role of biochar in regulating CH4 emissions [164]. Electron-exchange substrates, such as Mn ore and iron ore substrates, can directly inhibit the activity of methanogens and promote the AOM process under the influence of dissimilated metal-reducing bacteria, resulting in a reduction in CH4 emissions [165,166]. Moreover, the toxicity of Fe3+ affects the N2O reductase activity so that N2O cannot be converted to N2, increasing N2O release [167]. Adsorption substrate types, such as Fe-C [168], can not only increase methane and oxygen adsorption via activated carbon [169,170] but also compete with methanogens for substrate in the presence of iron-reducing bacteria, ultimately reducing CH4 emissions [171]. Zhang et al. reported that the presence of biochar and hematite mitigated CH4 and N2O emissions by modifying microbial communities with higher ratios of pmoA/mcrA and nosZ genes abundances, as well as increasing the abundance of denitrifying bacteria (Dechloromona, Thauera, and Azospira) [172]. The research of Huo et al. suggested that the biochar-CWs and pyrite-CWs provided carbon source and electron donor, respectively, which directly intensified the heterotrophic denitrification process in CWs and then reduced the emission of N2O. In pyrite-CWs, adding Fe (II) as an electron donor might directly mediate the occurrence of autotrophic denitrification and reduce the emission of N2O [173].

4.4. Temperature

Temperature affects GHG emissions in CWs by influencing microbial activity and the succession of dominant bacteria. Methanogens are very sensitive to temperature changes [174], with the optimal temperature for methanogenesis usually 35 °C–40 °C [175], and the diversity and abundance of methanogens will increase with the rise of temperature [176], resulting in a significant increase in the rate of CH4 production. Higher summer temperatures can improve methanogens’ activity and increase CH4 emissions because rapid oxygen consumption affects the activity capacity of methanotrophs [177]. Low temperature will reduce the rate of organic matter degradation, thus weakening the activity of methanogens and fermenting bacteria [38], thus reducing the substrate utilization of methanogenesis. Methanotrophs are not sensitive to temperature, and the optimal temperature is 25 °C. CH4 can be oxidized either at low to −2 °C or at high to 30 °C [178]. Research generally indicates that CWs release higher amounts of CH4 during the warm seasons than cold seasons [98,179,180]. According to Lu et al., methanogens were dominated by Methanosarcinaceae (utilizing acetate and H2/CO2 substrates), while as temperature lower, Methanosaetaceae (using acetate for CH4 production) dominated the methanogens [181]. Significantly higher N2O emission during the summer than during winter due to a slowdown of the denitrification and nitrification processes at lower temperatures was found by Ström et al. [182]. There are also some findings showing that temperature is not positively correlated with GHGs because other factors besides temperature collectively affect the total emissions of GHGs [183,184,185].

4.5. Influent Characteristics

Influent characteristics also affect GHG emissions, including influent organic carbon load, NH4+, NO2, NO3, TN load, and C/N. A high C load will increase the supply of organic substrates for methanogens, and a high influent organic load will lead to rapid oxygen consumption and reduce the oxidation of CH4, thus increasing CH4 emissions. When nitrifiers oxidize NH4+, they compete with methanotrophs oxidizing CH4 for the active site on methane monooxygenase (MMO), and CH4 oxidation could not begin until NH4+ was consumed [186]. Higher concentrations of NH4+ can inhibit the growth and activity of methanotrophs by increasing the number of nitrifiers, thus inhibiting CH4 oxidation [186]. Furthermore, the presence of NO2, NO3, and cations in conjunction with NO3 resulting from NH4+ oxidation can directly hinder the activity of methanotrophs, leading to the inhibition of CH4 oxidation [187,188]. In contrast, increasing NO3 concentrations stimulate organic matter decomposition, resulting in elevated CO2 emissions and reduced CH4 emissions via anaerobic CH4 oxidation [189,190,191]. A high TN load reduces DO during nitrification, causing NO2 accumulation. This, coupled with the faster reaction rate of AOB compared to NOB, triggers N2O production via NH4OH oxidation and nitrifier denitrification [192]. Several studies reported an optimal C/N ratio of around 5 for simultaneously best biological nutrient removal and lowest CO2 and CH4 fluxes [193,194]. Wu et al. [195] found that when C/N = 5, the nitrogen removal effect of sewage is the best, and the release of N2O is the least, while when C/N < 4~5, the denitrification reaction is incomplete, resulting in the accumulation of NO2. Accumulated NO2 will inhibit N2O reductase activity, increasing N2O release [193]. In addition, due to the weak electron competition ability of N2O reductase, N2O accumulation is easy to occur when the carbon source is insufficient [169]. However, higher C/N is sometimes better; High C/N may also increase N2O release. For example, studies have shown that when the C/N ratio is 20, the release of N2O is 10 times that when the C/N ratio is 5. This may be due to the excessive influent organic load leading to the system pH being too low (<5), thus inhibiting the N2O reductase [195].
In conclusion, the GHG emissions in CWs are influenced by multiple factors. Crucial influencers encompass CWs type and age, plant presence, diversity, species, growth stages, substrate types, temperature, and influent characteristics. CW type significantly impacts GHG emissions due to variations in DO levels and redox environments. The presence and diversity of plants can either stimulate or suppress GHG release, with specific plant species and growth stages showing stronger connections to GHG emissions. Novel substrate types like biochar, electron-exchange substrates, and adsorption substrates play a pivotal role in GHG emissions by inhibiting methanogens’ activity and altering nitrogen transformation pathways. Temperature affects GHG emissions by directly influencing the activity of methanogens, nitrifiers, and denitrifiers. Furthermore, influent characteristics, such as organic carbon load, NH4+, NO2, NO3, TN load, and C/N, can influence GHG emissions by promoting or inhibiting their production and oxidation. CWs are complex systems with various influencing factors, and comprehensively understanding the interactions of these factors is crucial for optimizing CW systems and minimizing their GHG footprint.

5. Conclusions and Prospects

Constructed wetland is an efficient and economical surface water treatment technology that uses the natural processes of plants, substrates, and microbes to treat wastewater. According to design structures and flow direction, CWs are divided into FWS CWs, HSSF CWs, VSSF CWs, and the combination of these, HCWs. However, CWs produce a lot of GHGs in the process of wastewater treatment, which significantly impacts global warming.
The impact of CWs on GHGs is complicated because they can produce a large amount of CO2, CH4, and N2O as by-products or intermediate products in the process of animal and plant respiration, anaerobic fermentation of organic matter, oxidative stress response, nitrification and denitrification, DNRA, SND, denitrification by nitrifiers, denitrification by aerobic denitrifiers, etc., and transmit them into the atmosphere mostly through plants, forming sources of GHGs, resulting in the greenhouse effect. In contrast, they can also fix CO2 from the atmosphere into sediments via plant photosynthesis, forming sinks of GHGs, and oxidize most of the CH4 produced in CWs to CO2 by aerobic and anaerobic oxidation, thus reducing CH4 emissions.
CWs’ overall performance depends on many factors, such as the type and age of CWs, plant, substrate, temperature, and influent characteristics. HCWs have higher nitrogen removal efficiency and fewer GHG emissions than single-type CWs. In the short term, CWs act as a source of GHGs, and with the growth of wetland age, GHG emissions are increasing, while over longer timescales (>100 years), CWs act as a sink of GHGs. Plant presence and abundance have controversial consequences for GHG emissions, which may depend on plant specificity; Cyperus papyrus and Cyperus alternifolius provide aerenchyma to transport O2 to the plant rhizosphere, promoting the oxidation of CH4 in the micro-oxygen environment. Iris pseudacorus has a strong carbon sequestration ability and could cover the emission of nitrous oxide and methane, acting as the carbon sink. Plant roots secrete small molecular organic matter in the growing season, promoting GHG emissions, and many GHGs are released when plants are harvested. Adsorption substrate types, such as Fe-C, can increase methane and oxygen adsorption via activated carbon and compete with methanogens for substrate in the presence of iron-reducing bacteria, ultimately reducing CH4 emissions. Temperature affects GHG emissions in CWs by influencing microbial activity and the succession of dominant bacteria. Low temperatures will reduce the CH4 and N2O emissions. High NH4+, NO2, and NO3 loads can inhibit the aerobic oxidation of CH4 and increase CH4 emissions, but high NO3 loads can also promote the anaerobic oxidation of CH4, thereby reducing methane emissions and increasing CO2 emissions. When the influent C/N is 5, the nitrogen removal efficiency is the highest, and the GHG emissions are the least.
The above factors affect the production, transport, and oxidation process of GHGs via various physical, chemical, and biological processes. Many studies have conflicting results on a single influencing factor because the single-factor relationship in the complex natural environment is insufficient to explain the differences in GHG emissions. However, most current studies focus on the influence of a single influencing factor on a single GHG. The source-sink effects and mechanisms of various comprehensive factors on GHGs in CWs are still unclear, and further research is needed. In addition, carbon fixation and GHG emissions of CWs jointly determine the impact of this technology on global warming. However, the current research seems to focus only on studying GHG emissions. It needs more measurement and research on the carbon balance of the whole system and the comprehensive greenhouse effect. According to the analysis, carbon sequestration by plant photosynthesis is the main way of carbon sequestration in CWs, which has both direct and indirect effects on the biogeochemical cycle of carbon, and these processes are closely related. There needs to be more research methods to ensure the differentiation and quantification of these processes, especially the microbial community-plant interactions involved in carbon sequestration and GHG emissions.

Author Contributions

Conceptualization, X.Y. (Xiaoxue Yin) and C.J.; methodology, C.J.; software, X.Y. (Xiaolin Yin) and X.Y. (Xiaojuan Yu); validation, J.W., M.M., C.W. and X.Z. (Xiaoxu Zheng); formal analysis, X.Z. (Xuliang Zhuang); investigation, X.Y. (Xiaoxue Yin); writing—original draft preparation, X.Y. (Xiaoxue Yin); writing—review and editing, C.J., S.X. and X.Z. (Xuliang Zhuang); visualization, X.Y. (Xiaojuan Yu); supervision, S.X. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Natural Science Foundation of China (No. 42177099, 91951108, 21976197), the Knowledge Innovation Program of Shenzhen (JSGG20191129112812329), and the CAS International Partnership Program (No. 121311KYSB20200017), Provincial science and technology innovative program for carbon peak and carbon neutrality of Jiangsu of China (BE2022422), Jiangsu North Science and Technology project (SZ-YC202118).

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Luo, Y.; Zhao, J.Y. Attentional and perceptual biases of climate change. Curr. Opin. Behav. Sci. 2021, 42, 22–26. [Google Scholar] [CrossRef]
  2. Asaad, S.M.; Inayat, A.; Rocha-Meneses, L.; Jamil, F.; Ghenai, C.; Shanableh, A. Prospective of Response Surface Methodology as an Optimization Tool for Biomass Gasification Process. Energies 2023, 16, 40. [Google Scholar] [CrossRef]
  3. Zhang, J.; Guan, B.; Wu, X.; Chen, Y.; Guo, J.; Ma, Z.; Bao, S.; Jiang, X.; Chen, L.; Shu, K.; et al. Research on photocatalytic CO2 conversion to renewable synthetic fuels based on localized surface plasmon resonance: Current progress and future perspectives. Catal. Sci. Technol. 2023, 13, 1932–1975. [Google Scholar] [CrossRef]
  4. Peter, R.; Kuttippurath, J.; Chakraborty, K.; Sunanda, N. A high concentration CO2 pool over the Indo-Pacific Warm Pool. Sci. Rep. 2023, 13, 4314. [Google Scholar] [CrossRef] [PubMed]
  5. Wang, Z.; Xing, A.; Shen, H. Effects of nitrogen addition on the combined global warming potential of three major soil greenhouse gases: A global meta-analysis. Environ. Pollut. 2023, 334, 121848. [Google Scholar] [CrossRef] [PubMed]
  6. IPCC. Climate Change 2013: The Physical Science Basis; Cambridge University Press: Cambridge, UK, 2014. [Google Scholar]
  7. Andres, R.J.; Boden, T.A.; Breon, F.M.; Ciais, P.; Davis, S.; Erickson, D.; Gregg, J.S.; Jacobson, A.; Marland, G.; Miller, J.; et al. A synthesis of carbon dioxide emissions from fossil-fuel combustion. Biogeosciences 2012, 9, 1845–1871. [Google Scholar] [CrossRef] [Green Version]
  8. Riris, H.; Numata, K.; Wu, S.; Gonzalez, B.; Rodriguez, M.; Molly, F.; Yu, A.; Stephen, M.; Mao, J. A Methane Lidar for Greenhouse Gas Measurements. In Proceedings of the Conference on Lasers and Electro-Optics (CLEO), San Jose, CA, USA, 5–10 June 2016. [Google Scholar]
  9. Dreyfus, G.B.; Xu, Y.; Shindell, D.T.; Zaelke, D.; Ramanathan, V. Mitigating climate disruption in time: A self-consistent approach for avoiding both near-term and long-term global warming. Proc. Natl. Acad. Sci. USA 2022, 119, e2123536119. [Google Scholar] [CrossRef]
  10. Khodayari, A.; Olsen, S.C.; Wuebbles, D.J.; Phoenix, D.B. Aviation NOx-induced CH4 effect: Fixed mixing ratio boundary conditions versus flux boundary conditions. Atmos. Environ. 2015, 113, 135–139. [Google Scholar] [CrossRef] [Green Version]
  11. Cruz Copetti, A.C.; da Silva, L.S.; Drescher, G.L.; Mueller, E.A.; Busanello, R.L.; Beber Vieira, F.C. Effect of rice straw and nitrate levels in soil sollution on nitrous oxide emission. Rev. Bras. Cienc. Solo 2015, 39, 458–465. [Google Scholar] [CrossRef]
  12. Xie, G.-Z.; Zhang, L.-P.; Li, C.-Y.; Sun, W.-D. Accelerated methane emission from permafrost regions since the 20th century. Deep.-Sea Res. Part I-Oceanogr. Res. Pap. 2023, 195, 103981. [Google Scholar] [CrossRef]
  13. Perugini, L.; Pellis, G.; Grassi, G.; Ciais, P.; Dolman, H.; House, J.I.; Peters, G.P.; Smith, P.; Guenther, D.; Peylin, P. Emerging reporting and verification needs under the Paris Agreement: How can the research community effectively contribute? Environ. Sci. Policy 2021, 122, 116–126. [Google Scholar] [CrossRef]
  14. Nam-Chol, O.; Kim, H.; Kim, G.-S.; Ri, G.-S. Characterisation analysis of national greenhouse gas emissions in DPR of Korea: Emission trends for a 12-year period. Int. J. Glob. Warm. 2019, 17, 401–416. [Google Scholar]
  15. Jonas, M.; Bun, R.; Nahorski, Z.; Marland, G.; Gusti, M.; Danylo, O. Quantifying greenhouse gas emissions. Mitig. Adapt. Strateg. Glob. Chang. 2019, 24, 839–852. [Google Scholar] [CrossRef] [Green Version]
  16. IPCC. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Cambridge University Press: Cambridge, UK, 2021. [Google Scholar]
  17. Xiong, T.; Liu, Y.; Yang, C.; Cheng, Q.; Lin, S. Research overview of urban carbon emission measurement and future prospect for GHG monitoring network. Energy Rep. 2023, 9, 231–242. [Google Scholar] [CrossRef]
  18. Bai, M.; Wang, Z.; Lloyd, J.; Seneviratne, D.; Flesch, T.; Yuan, Z.; Chen, D. Long-term onsite monitoring of a sewage sludge drying pan finds methane emissions consistent with IPCC default emission factor. Water Res. X 2023, 19, 100184. [Google Scholar] [CrossRef]
  19. Cui, C.; Wang, Z.; Cai, B.; Peng, S.; Wang, Y.; Xu, C. Evolution-based CO2 emission baseline scenarios of Chinese cities in 2025. Appl. Energy 2021, 281, 116116. [Google Scholar] [CrossRef]
  20. Long, W.; Wang, S.; Lu, C.; Xue, R.; Liang, T.; Jiang, N.; Zhang, R. Quantitative assessment of energy conservation potential and environmental benefits of an iron and steel plant in China. J. Clean. Prod. 2020, 273, 123163. [Google Scholar] [CrossRef]
  21. Zhang, C.; Cao, R.; Majeed, M.T.; Usman, A. Clean energy consumption and CO2 emissions: Does China reduce some pollution burdens through environmental regulation? Environ. Sci. Pollut. Res. 2022, 29, 79156–79167. [Google Scholar] [CrossRef] [PubMed]
  22. Li, H.; Cheng, X.; Ding, H.; Yang, Y.; Li, D.; Wang, J.; Han, J. Cleaner production and carbon reduction target: Analysis of sewage treatment plants in Nort-Central China. Energy Sources Part A-Recovery Util. Environ. Eff. 2022, 44, 2770–2781. [Google Scholar] [CrossRef]
  23. Zhang, Y.-h.; Feng, T.-t. How does the design of personal carbon trading system affect willingness to participate under carbon neutrality goal?-evidence from a choice experiment. Environ. Sci. Pollut. Res. 2022, 29, 81970–81992. [Google Scholar] [CrossRef]
  24. Wu, L. How can carbon trading price distortion be corrected? An empirical study from China’s carbon trading pilot markets. Environ. Sci. Pollut. Res. 2021, 28, 66253–66271. [Google Scholar] [CrossRef] [PubMed]
  25. Li, Y.; Song, J. Research on the Application of GA-ELM Model in Carbon Trading Price-An Example of Beijing. Pol. J. Environ. Stud. 2022, 31, 149–161. [Google Scholar] [CrossRef]
  26. Chen, X.; Qin, X.; Li, Y.; Wan, Y.; Liao, Y.; Lu, Y.; Wang, B.; Chen, H.; Wang, K. Residential and agricultural soils dominate soil organic matter loss in a typical agricultural watershed of subtropical China. Agric. Ecosyst. Environ. 2022, 338, 108100. [Google Scholar] [CrossRef]
  27. Chen, W.; Tang, H.; He, L.; Zhang, Y.; Ma, W. Co-effect assessment on regional air quality: A perspective of policies and measures with greenhouse gas reduction potential. Sci. Total Environ. 2022, 851, 158119. [Google Scholar] [CrossRef]
  28. Yanez, E.; Ramirez, A.; Nunez-Lopez, V.; Castillo, E.; Faaij, A. Exploring the potential of carbon capture and storage-enhanced oil recovery as a mitigation strategy in the Colombian oil industry. Int. J. Greenh. Gas Control 2020, 94, 102938. [Google Scholar] [CrossRef]
  29. Rashid, M.I.; Benhelal, E.; Rafiq, S. Reduction of Greenhouse Gas Emissions from Gas, Oil, and Coal Power Plants in Pakistan by Carbon Capture and Storage (CCS): A Review. Chem. Eng. Technol. 2020, 43, 2140–2148. [Google Scholar] [CrossRef]
  30. Paltsev, S.; Morris, J.; Kheshgi, H.; Herzog, H. Hard-to-Abate Sectors: The role of industrial carbon capture and storage (CCS) in emission mitigation. Appl. Energy 2021, 300, 117322. [Google Scholar] [CrossRef]
  31. Ali, N.B.H.; Abichou, T.; Green, R. Comparing estimates of fugitive landfill methane emissions using inverse plume modeling obtained with Surface Emission Monitoring (SEM), Drone Emission Monitoring (DEM), and Downwind Plume Emission Monitoring (DWPEM). J. Air Waste Manag. Assoc. 2020, 70, 410–424. [Google Scholar]
  32. Bastos, A.; Ciais, P.; Sitch, S.; Aragao, L.E.O.C.; Chevallier, F.; Fawcett, D.; Rosan, T.M.; Saunois, M.; Guenther, D.; Perugini, L.; et al. On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: Lessons learned from ESA-CCI RECCAP2 COMMENT. Carbon Balance Manag. 2022, 17, 15. [Google Scholar] [CrossRef]
  33. Zaborowska, E.; Czerwionka, K.; Makinia, J. Integrated plant-wide modelling for evaluation of the energy balance and greenhouse gas footprint in large wastewater treatment plants. Appl. Energy 2021, 282, 116126. [Google Scholar] [CrossRef]
  34. Stadler, C.; Fuse, V.S.; Linares, S.; Juliarena, P. Estimation of methane emission from an urban wastewater treatment plant applying inverse Gaussian model. Environ. Monit. Assess. 2022, 194, 27. [Google Scholar] [CrossRef] [PubMed]
  35. Thalasso, F.; Sepulveda-Jauregui, A.; Cabrol, L.; Lavergne, C.; Olgun, N.; Martinez-Cruz, K.; Aguilar-Munoz, P.; Calle, N.; Mansilla, A.; Soledad Astorga-Espana, M. Methane and carbon dioxide cycles in lakes of the King George Island, maritime Antarctica. Sci. Total Environ. 2022, 848, 157485. [Google Scholar] [CrossRef] [PubMed]
  36. Moomaw, W.R.; Law, B.E.; Goetz, S.J. Focus on the role of forests and soils in meeting climate change mitigation goals: Summary. Environ. Res. Lett. 2020, 15, 045009. [Google Scholar] [CrossRef]
  37. Martin-Pozas, T.; Cuezva, S.; Fernandez-Cortes, A.; Carlos Canaveras, J.; Benavente, D.; Jurado, V.; Saiz-Jimenez, C.; Janssens, I.; Seijas, N.; Sanchez-Moral, S. Role of subterranean microbiota in the carbon cycle and greenhouse gas dynamics. Sci. Total Environ. 2022, 831, 154921. [Google Scholar] [CrossRef]
  38. Bonetti, G.; Trevathan-Tackett, S.M.; Carnell, P.E.; Macreadie, P.I. The potential of viruses to influence the magnitude of greenhouse gas emissions in an inland wetland. Water Res. 2021, 193, 116875. [Google Scholar] [CrossRef] [PubMed]
  39. Li, K.; Xiong, P.; Wu, Y.; Dong, Y. Forecasting greenhouse gas emissions with the new information priority generalized accumulative grey model. Sci. Total Environ. 2022, 807, 150859. [Google Scholar] [CrossRef]
  40. Li, J.; Sun, S.; Sharma, D.; Ho, M.S.; Liu, H. Tracking the drivers of global greenhouse gas emissions with spillover effects in the post-financial crisis era. Energy Policy 2023, 174, 113464. [Google Scholar] [CrossRef]
  41. Kutlu, L. Greenhouse Gas Emission Efficiencies of World Countries. Int. J. Environ. Res. Public Health 2020, 17, 8771. [Google Scholar] [CrossRef]
  42. Zhang, H.; Wang, X.C.; Zheng, Y.; Dzakpasu, M. Removal of pharmaceutical active compounds in wastewater by constructed wetlands: Performance and mechanisms. J. Environ. Manag. 2023, 325, 116478. [Google Scholar] [CrossRef]
  43. Cui, E.; Zhou, Z.; Gao, F.; Chen, H.; Li, J. Roles of substrates in removing antibiotics and antibiotic resistance genes in constructed wetlands: A review. Sci. Total Environ. 2023, 859, 160257. [Google Scholar] [CrossRef]
  44. Zhang, M.; Huang, J.-C.; Sun, S.; Rehman, M.M.U.; He, S. Depth-specific distribution and significance of nitrite-dependent anaerobic methane oxidation process in tidal flow constructed wetlands used for treating river water. Sci. Total Environ. 2020, 716, 137054. [Google Scholar] [CrossRef]
  45. Zhang, X.; Wang, T.; Xu, Z.; Zhang, L.; Dai, Y.; Tang, X.; Tao, R.; Li, R.; Yang, Y.; Tai, Y. Effect of heavy metals in mixed domestic-industrial wastewater on performance of recirculating standing hybrid constructed wetlands (RSHCWs) and their removal. Chem. Eng. J. 2020, 379, 122363. [Google Scholar] [CrossRef]
  46. Sun, Y.; Zhou, P.; Zhang, N.; Zhang, Z.; Guo, Q.; Chen, C.; Cui, L. Effects of matrix modification and bacteria amendment on the treatment efficiency of municipal tailwater pollutants by modified vertical flow constructed wetland. J. Environ. Manag. 2021, 281, 111920. [Google Scholar] [CrossRef]
  47. Lu, Q.; Li, Q.; An, Y.; Duan, X.; Zhao, R.; Zhao, D.; An, S. Evaluation of constructed wetland systems toward naturalization of the elemental composition and microbial community in wastewater treatment plant effluent. J. Clean. Prod. 2022, 376, 134117. [Google Scholar] [CrossRef]
  48. Fernandez-Fernandez, M.I.; Martin de la Vega, P.T.; Jaramillo-Moran, M.A.; Garrido, M. Hybrid Constructed Wetland to Improve Organic Matter and Nutrient Removal. Water 2020, 12, 2023. [Google Scholar] [CrossRef]
  49. Xu, G.; Li, Y.; Hou, W.; Wang, S.; Kong, F. Effects of substrate type on enhancing pollutant removal performance and reducing greenhouse gas emission in vertical subsurface flow constructed wetland. J. Environ. Manag. 2021, 280, 111674. [Google Scholar] [CrossRef] [PubMed]
  50. Xu, D.; Sun, H.; Wang, J.; Wang, N.; Zuo, Y.; Mosa, A.A.; Yin, X. Global trends and current advances regarding greenhouse gases in constructed wetlands: A bibliometric-based quantitative review over the last 40 years. Ecol. Eng. 2023, 193, 107018. [Google Scholar] [CrossRef]
  51. Mao, X.; Wei, X.; Engel, B.; Wei, X.; Zhang, Z.; Tao, Y.; Wang, W. Network-based perspective on water-air interface GHGs flux on a cascade surface-flow constructed wetland in Qinghai-Tibet Plateau, China. Ecol. Eng. 2020, 151, 105862. [Google Scholar] [CrossRef]
  52. Tsai, C.-P.; Huang, C.-M.; Yuan, C.-S.; Yang, L. Seasonal and diurnal variations of greenhouse gas emissions from a saline mangrove constructed wetland by using an in situ continuous GHG monitoring system. Environ. Sci. Pollut. Res. 2020, 27, 15824–15834. [Google Scholar] [CrossRef]
  53. Chen, X.; Zhu, H.; Yan, B.; Shutes, B.; Xing, D.; Banuelos, G.; Cheng, R.; Wang, X. Greenhouse gas emissions and wastewater treatment performance by three plant species in subsurface flow constructed wetland mesocosms. Chemosphere 2020, 239, 124795. [Google Scholar] [CrossRef]
  54. Mander, Ü.; Dotro, G.; Ebie, Y.; Towprayoon, S.; Chiemchaisri, C.; Nogueira, S.F.; Jamsranjav, B.; Kasak, K.; Truu, J.; Tournebize, J.; et al. Greenhouse gas emission in constructed wetlands for wastewater treatment: A review. Ecol. Eng. 2014, 66, 19–35. [Google Scholar] [CrossRef] [Green Version]
  55. Tan, L.; Ge, Z.; Zhou, X.; Li, S.; Li, X.; Tang, J. Conversion of coastal wetlands, riparian wetlands, and peatlands increases greenhouse gas emissions: A global meta-analysis. Glob. Change Biol. 2020, 26, 1638–1653. [Google Scholar] [CrossRef] [PubMed]
  56. Ren, Y.G.; Wang, J.H.; Li, H.F.; Zhang, J.; Qi, P.Y.; Hu, Z. Nitrous oxide and methane emissions from different treatment processes in full-scale municipal wastewater treatment plants. Environ. Technol. 2013, 34, 2917–2927. [Google Scholar] [CrossRef] [PubMed]
  57. Yan, X.; Li, L.; Liu, J. Characteristics of greenhouse gas emission in three full-scale wastewater treatment processes. J. Environ. Sci. 2014, 26, 256–263. [Google Scholar] [CrossRef]
  58. Bao, Z.; Sun, S.; Sun, D. Assessment of greenhouse gas emission from A/O and SBR wastewater treatment plants in Beijing, China. Int. Biodeterior. Biodegrad. 2016, 108, 108–114. [Google Scholar] [CrossRef]
  59. Gao, Y.; Gao, X.; Zhang, X. The 2 degrees C Global Temperature Target and the Evolution of the Long-Term Goal of Addressing Climate Change-From the United Nations Framework Convention on Climate Change to the Paris Agreement. Engineering 2017, 3, 272–278. [Google Scholar] [CrossRef]
  60. Maucieri, C.; Salvato, M.; Borin, M. Vegetation contribution on phosphorus removal in constructed wetlands. Ecol. Eng. 2020, 152, 105853. [Google Scholar] [CrossRef]
  61. Verduzo Garibay, M.; Fernández del Castillo, A.; de Anda, J.; Senés-Guerrero, C.; Gradilla-Hernández, M.S. Structure and activity of microbial communities in response to environmental, operational, and design factors in constructed wetlands. Int. J. Environ. Sci. Technol. 2021, 19, 11587–11612. [Google Scholar] [CrossRef]
  62. Yang, C.; Zhang, X.; Tang, Y.; Jiang, Y.; Xie, S.; Zhang, Y.; Qin, Y. Selection and optimization of the substrate in constructed wetland: A review. J. Water Process Eng. 2022, 49, 103140. [Google Scholar] [CrossRef]
  63. Vymazal, J. Constructed Wetlands for Wastewater Treatment. Water 2010, 2, 530–549. [Google Scholar] [CrossRef] [Green Version]
  64. Maine, M.A.; Sanchez, G.C.; Hadad, H.R.; Caffaratti, S.E.; Pedro, M.d.C.; Di Luca, G.A.; Mufarrege, M.d.l.M.; Nocetti, E. Hybrid wetland system for a pet-care center wastewater treatment. Ecol. Eng. 2022, 182, 106700. [Google Scholar] [CrossRef]
  65. Wu, H.; Zhang, J.; Ngo, H.H.; Guo, W.; Hu, Z.; Liang, S.; Fan, J.; Liu, H. A review on the sustainability of constructed wetlands for wastewater treatment: Design and operation. Bioresour. Technol. 2015, 175, 594–601. [Google Scholar] [CrossRef] [PubMed]
  66. Levesque, V.; Antoun, H.; Rochette, P.; Dorais, M. Type of constructed wetlands influence nutrient removal and nitrous oxide emissions from greenhouse wastewater. Eur. J. Hortic. Sci. 2020, 85, 3–13. [Google Scholar] [CrossRef] [Green Version]
  67. Chen, Y.; Wen, Y.; Zhou, Q.; Vymazal, J. Effects of plant biomass on nitrogen transformation in subsurface-batch constructed wetlands: A stable isotope and mass balance assessment. Water Res. 2014, 63, 158–167. [Google Scholar] [CrossRef]
  68. Bakhshoodeh, R.; Alavi, N.; Oldham, C.; Santos, R.M.; Babaei, A.A.; Vymazal, J.; Paydary, P. Constructed wetlands for landfill leachate treatment: A review. Ecol. Eng. 2020, 146, 105725. [Google Scholar] [CrossRef]
  69. Vymazal, J. Plants used in constructed wetlands with horizontal subsurface flow: A review. Hydrobiologia 2011, 674, 133–156. [Google Scholar] [CrossRef]
  70. Engida, T.; Wu, J.M.; Xu, D.; Wu, Z.B. Review paper on horizontal substurface flow constructed wetlands: Potential for their use in climate change mitigation and treatment of wastewater. Appl. Ecol. Environ. Res. 2020, 18, 1051–1089. [Google Scholar] [CrossRef]
  71. Ranieri, E.; Young, T.M. Clogging influence on metals migration and removal in sub-surface flow constructed wetlands. J. Contam. Hydrol. 2012, 129, 38–45. [Google Scholar] [CrossRef]
  72. Shahid, M.J.; Al-surhanee, A.A.; Kouadri, F.; Ali, S.; Nawaz, N.; Afzal, M.; Rizwan, M.; Ali, B.; Soliman, M.H. Role of Microorganisms in the Remediation of Wastewater in Floating Treatment Wetlands: A Review. Sustainability 2020, 12, 5559. [Google Scholar] [CrossRef]
  73. Mitter, B.; Brader, G.; Afzal, M.; Compant, S.; Naveed, M.; Trognitz, F.; Sessitsch, A. Advances in Elucidating Beneficial Interactions Between Plants, Soil, and Bacteria. Adv. Agron. 2013, 121, 381–445. [Google Scholar]
  74. Vymazal, J. Long-term performance of constructed wetlands with horizontal sub-surface flow: Ten case studies from the Czech Republic. Ecol. Eng. 2011, 37, 54–63. [Google Scholar] [CrossRef]
  75. Vymazal, J. Does clogging affect long-term removal of organics and suspended solids in gravel-based horizontal subsurface flow constructed wetlands? Chem. Eng. J. 2018, 331, 663–674. [Google Scholar] [CrossRef]
  76. Tee, H.-C.; Lim, P.-E.; Seng, C.-E.; Nawi, M.A.M.; Adnan, R. Enhancement of azo dye Acid Orange 7 removal in newly developed horizontal subsurface-flow constructed wetland. J. Environ. Manag. 2015, 147, 349–355. [Google Scholar] [CrossRef] [PubMed]
  77. Maucieri, C.; Barbera, A.C.; Vymazal, J.; Borin, M. A review on the main affecting factors of greenhouse gases emission in constructed wetlands. Agric. For. Meteorol. 2017, 236, 175–193. [Google Scholar] [CrossRef]
  78. Pillai, J.S.; Vijayan, N. Decentralized Greywater Treatment for Nonpotable Reuse in a Vertical Flow Constructed Wetland. In Proceedings of the International Conference on Green Technologies (ICGT), Trivandrum, India, 18–20 December 2012. [Google Scholar]
  79. Tsihrintzis, V.A. The use of Vertical Flow Constructed Wetlands in Wastewater Treatment. Water Resour. Manag. 2017, 31, 3245–3270. [Google Scholar] [CrossRef]
  80. Maucieri, C.; Mietto, A.; Barbera, A.C.; Borin, M. Treatment performance and greenhouse gas emission of a pilot hybrid constructed wetland system treating digestate liquid fraction. Ecol. Eng. 2016, 94, 406–417. [Google Scholar] [CrossRef]
  81. Barbera, A.C.; Borin, M.; Cirelli, G.L.; Toscano, A.; Maucieri, C. Comparison of carbon balance in Mediterranean pilot constructed wetlands vegetated with different C4 plant species. Environ. Sci. Pollut. Res. 2015, 22, 2372–2383. [Google Scholar] [CrossRef] [PubMed]
  82. Cunha-Santino, M.B.d.; Bitar, A.L.; Bianchini Junior, I. Gas emission from anaerobic decomposition of plant resources. Acta Limnol. Bras. 2016, 28, e30. [Google Scholar] [CrossRef] [Green Version]
  83. Mitsch, W.J.; Mander, U. Wetlands and carbon revisited. Ecol. Eng. 2018, 114, 1–6. [Google Scholar] [CrossRef]
  84. Kayranli, B.; Scholz, M.; Mustafa, A.; Hedmark, A. Carbon Storage and Fluxes within Freshwater Wetlands: A Critical Review. Wetlands 2010, 30, 111–124. [Google Scholar] [CrossRef]
  85. Maucieri, C.; Salvato, M.; Tamiazzo, J.; Borin, M. Biomass production and soil organic carbon accumulation in a free water surface constructed wetland treating agricultural wastewater in North Eastern Italy. Ecol. Eng. 2014, 70, 422–428. [Google Scholar] [CrossRef]
  86. Yang, L.; Yuan, C.-S. Analysis of carbon sink effects for saline constructed wetlands vegetated with mangroves to treat mariculture wastewater and sewage. Water Sci. Technol. 2019, 79, 1474–1483. [Google Scholar] [CrossRef]
  87. Brix, H.; Sorrell, B.K.; Lorenzen, B. Are Phragmites-dominated wetlands a net source or net sink of greenhouse gases? Aquat. Bot. 2001, 69, 313–324. [Google Scholar] [CrossRef]
  88. Mitsch, W.J.; Bernal, B.; Nahlik, A.M.; Mander, U.; Zhang, L.; Anderson, C.J.; Jorgensen, S.E.; Brix, H. Wetlands, carbon, and climate change. Landsc. Ecol. 2013, 28, 583–597. [Google Scholar] [CrossRef]
  89. Wu, H.; Lin, L.; Zhang, J.; Guo, W.; Liang, S.; Liu, H. Purification ability and carbon dioxide flux from surface flow constructed wetlands treating sewage treatment plant effluent. Bioresour. Technol. 2016, 219, 768–772. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  90. Wang, X.; Tian, Y.; Liu, H.; Zhao, X.; Peng, S. The influence of incorporating microbial fuel cells on greenhouse gas emissions from constructed wetlands. Sci. Total Environ. 2019, 656, 270–279. [Google Scholar] [CrossRef] [PubMed]
  91. Tripathi, N.; Singh, R.S.; Nathanail, C.P. Mine spoil acts as a sink of carbon dioxide in Indian dry tropical environment. Sci. Total Environ. 2014, 468, 1162–1171. [Google Scholar] [CrossRef]
  92. Liu, S.; Xue, H.; Wang, Y.; Wang, Z.; Feng, X.; Pyo, S.-H. Effects of bioelectricity generation processes on methane emission and bacterial community in wetland and carbon fate analysis. Bioresour. Bioprocess. 2022, 9, 69. [Google Scholar] [CrossRef]
  93. Gougoulias, C.; Clark, J.M.; Shaw, L.J. The role of soil microbes in the global carbon cycle: Tracking the below-ground microbial processing of plant-derived carbon for manipulating carbon dynamics in agricultural systems. J. Sci. Food Agric. 2014, 94, 2362–2371. [Google Scholar] [CrossRef] [Green Version]
  94. Guo, F.; Zhang, J.; Yang, X.; He, Q.; Ao, L.; Chen, Y. Impact of biochar on greenhouse gas emissions from constructed wetlands under various influent chemical oxygen demand to nitrogen ratios. Bioresour. Technol. 2020, 303, 122908. [Google Scholar] [CrossRef] [PubMed]
  95. Zhang, L.; Wang, X.C.; Dzakpasu, M.; Cao, T.; Zhang, H.; Liu, Y.; Zheng, Y. Integrated environmental influences quantification of pilot-scale constructed wetlands based on modified ecological footprint assessment. Sci. Total Environ. 2022, 843, 157039. [Google Scholar] [CrossRef] [PubMed]
  96. Bridgham, S.D.; Cadillo-Quiroz, H.; Keller, J.K.; Zhuang, Q. Methane emissions from wetlands: Biogeochemical, microbial, and modeling perspectives from local to global scales. Glob. Change Biol. 2013, 19, 1325–1346. [Google Scholar] [CrossRef]
  97. Zhang, K.; Wu, X.; Luo, H.; Li, X.; Chen, W.; Chen, J.; Mo, Y.; Wang, W. CH4 control and associated microbial process from constructed wetland (CW) by microbial fuel cells (MFC). J. Environ. Manag. 2020, 260, 110071. [Google Scholar] [CrossRef]
  98. Lopez, D.; Sepulveda-Mardones, M.; Ruiz-Tagle, N.; Sossa, K.; Uggetti, E.; Vidal, G. Potential methane production and molecular characterization of bacterial and archaeal communities in a horizontal subsurface flow constructed wetland under cold and warm seasons. Sci. Total Environ. 2019, 648, 1042–1051. [Google Scholar] [CrossRef]
  99. Lyu, Z.; Shao, N.; Akinyemi, T.; Whitman, W.B. Methanogenesis. Curr. Biol. 2018, 28, R727–R732. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  100. Sakai, S.; Takaki, Y.; Shimamura, S.; Sekine, M.; Tajima, T.; Kosugi, H.; Ichikawa, N.; Tasumi, E.; Hiraki, A.T.; Shimizu, A.; et al. Genome Sequence of a Mesophilic Hydrogenotrophic Methanogen Methanocella paludicola, the First Cultivated Representative of the Order Methanocellales. PLoS ONE 2011, 6, e22898. [Google Scholar] [CrossRef] [Green Version]
  101. Borrel, G.; O’Toole, P.W.; Harris, H.M.B.; Peyret, P.; Brugere, J.-F.; Gribaldo, S. Phylogenomic Data Support a Seventh Order of Methylotrophic Methanogens and Provide Insights into the Evolution of Methanogenesis. Genome Biol. Evol. 2013, 5, 1769–1780. [Google Scholar] [CrossRef] [Green Version]
  102. Borrel, G.; Parisot, N.; Harris, H.M.B.; Peyretaillade, E.; Gaci, N.; Tottey, W.; Bardot, O.; Raymann, K.; Gribaldo, S.; Peyret, P.; et al. Comparative genomics highlights the unique biology of Methanomassiliicoccales, a Thermoplasmatales-related seventh order of methanogenic archaea that encodes pyrrolysine. BMC Genom. 2014, 15, 679. [Google Scholar] [CrossRef] [Green Version]
  103. Bhaduri, D.; Mandal, A.; Chakraborty, K.; Chatterjee, D.; Dey, R. Interlinked chemical-biological processes in anoxic waterlogged soil—A review. Indian J. Agric. Sci. 2017, 87, 1587–1599. [Google Scholar] [CrossRef]
  104. Yu, G.; Chen, J.; Wang, G.; Chen, H.; Huang, J.; Li, Y.; Wang, W.; Song, F.; Ma, Y.; Wang, Q.; et al. Recent advances in constructed wetlands methane reduction: Mechanisms and methods. Front. Microbiol. 2023, 14, 1106332. [Google Scholar] [CrossRef]
  105. Zhang, K.; Liu, Y.; Chen, Q.; Luo, H.; Zhu, Z.; Chen, W.; Chen, J.; Mo, Y. Effect of submerged plant species on CH4 flux and methanogenic community dynamics in a full-scale constructed wetland. Ecol. Eng. 2018, 115, 96–104. [Google Scholar] [CrossRef]
  106. Zhang, K.; Luo, H.; Zhu, Z.; Chen, W.; Chen, J.; Mo, Y. CH4 flux and methanogen community dynamics from five common emergent vegetations in a full-scale constructed wetland. Environ. Sci. Pollut. Res. 2018, 25, 26433–26445. [Google Scholar] [CrossRef] [PubMed]
  107. Zhou, Z.; Zhang, C.-j.; Liu, P.-f.; Fu, L.; Laso-Perez, R.; Yang, L.; Bai, L.-p.; Li, J.; Yang, M.; Lin, J.-z.; et al. Non-syntrophic methanogenic hydrocarbon degradation by an archaeal species. Nature 2022, 601, 257–262. [Google Scholar] [CrossRef] [PubMed]
  108. Ernst, L.; Steinfeld, B.; Barayeu, U.; Klintzsch, T.; Kurth, M.; Grimm, D.; Dick, T.P.; Rebelein, J.G.; Bischofs, I.B.; Keppler, F. Methane formation driven by reactive oxygen species across all living organisms. Nature 2022, 603, 482–487. [Google Scholar] [CrossRef] [PubMed]
  109. Zhang, C.-B.; Sun, H.-Y.; Ge, Y.; Gu, B.-J.; Wang, H.; Chang, J. Plant species richness enhanced the methane emission in experimental microcosms. Atmos. Environ. 2012, 62, 180–183. [Google Scholar] [CrossRef]
  110. Wang, G.; Yu, G.; Chi, T.; Li, Y.; Zhang, Y.; Wang, J.; Li, P.; Liu, J.; Yu, Z.; Wang, Q.; et al. Insights into the enhanced effect of biochar on cadmium removal in vertical flow constructed wetlands. J. Hazard. Mater. 2023, 443, 130148. [Google Scholar] [CrossRef]
  111. Thangarajan, R.; Bolan, N.S.; Tian, G.; Naidu, R.; Kunhikrishnan, A. Role of organic amendment application on greenhouse gas emission from soil. Sci. Total Environ. 2013, 465, 72–96. [Google Scholar] [CrossRef]
  112. Liu, S.; Feng, X.; Li, X. Bioelectrochemical approach for control of methane emission from wetlands. Bioresour. Technol. 2017, 241, 812–820. [Google Scholar] [CrossRef]
  113. Bonetti, G.; Trevathan-Tackett, S.M.; Hebert, N.; Carnell, P.E.; Macreadie, P.I. Microbial community dynamics behind major release of methane in constructed wetlands. Appl. Soil Ecol. 2021, 167, 104163. [Google Scholar] [CrossRef]
  114. Lenzewski, N.; Mueller, P.; Meier, R.J.; Liebsch, G.; Jensen, K.; Koop-Jakobsen, K. Dynamics of oxygen and carbon dioxide in rhizospheres of Lobelia dortmanna—A planar optode study of belowground gas exchange between plants and sediment. New Phytol. 2018, 218, 131–141. [Google Scholar] [CrossRef] [Green Version]
  115. Xu, H.; Song, H.-L.; Singh, R.P.; Yang, Y.-L.; Xu, J.-Y.; Yang, X.-L. Simultaneous reduction of antibiotics leakage and methane emission from constructed wetland by integrating microbial fuel cell. Bioresour. Technol. 2021, 320, 124285. [Google Scholar] [CrossRef] [PubMed]
  116. Wu, H.B.; Zhao, Q.; Gao, Q.Z.; Li, Y.E.; Wan, Y.F.; Li, Y.; Tian, D.; Liao, Y.L.; Fan, M.R.; Ganjurjav, H.; et al. Human Activities Inducing High CH4 Diffusive Fluxes in an Agricultural River Catchment in Subtropical China. Sustainability 2020, 12, 2114. [Google Scholar] [CrossRef] [Green Version]
  117. Thauer, R.K. Functionalization of Methane in Anaerobic Microorganisms. Angew. Chem.-Int. Ed. 2010, 49, 6712–6713. [Google Scholar] [CrossRef]
  118. Wegener, G.; Krukenberg, V.; Riedel, D.; Tegetmeyer, H.E.; Boetius, A. Intercellular wiring enables electron transfer between methanotrophic archaea and bacteria. Nature 2015, 526, 587–590. [Google Scholar] [CrossRef]
  119. Guerrero-Cruz, S.; Vaksmaa, A.; Horn, M.A.; Niemann, H.; Pijuan, M.; Ho, A. Methanotrophs: Discoveries, Environmental Relevance, and a Perspective on Current and Future Applications. Front. Microbiol. 2021, 12, 678057. [Google Scholar] [CrossRef]
  120. Valenzuela, E.I.; Prieto-Davo, A.; Lopez-Lozano, N.E.; Hernandez-Eligio, A.; Vega-Alvarado, L.; Juarez, K.; Sarahi Garcia-Gonzalez, A.; Lopez, M.G.; Cervantes, F.J. Anaerobic Methane Oxidation Driven by Microbial Reduction of Natural Organic Matter in a Tropical Wetland. Appl. Environ. Microbiol. 2017, 83, e00645-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  121. Ji, B.; Chen, J.; Li, W.; Mei, J.; Yang, Y.; Chang, J. Greenhouse gas emissions from constructed wetlands are mitigated by biochar substrates and distinctly affected by tidal flow and intermittent aeration modes. Environ. Pollut. 2021, 271, 116328. [Google Scholar] [CrossRef]
  122. Chen, X.; Zhu, H.; Yan, B.; Shutes, B.; Tian, L.; Wen, H. Optimal influent COD/N ratio for obtaining low GHG emissions and high pollutant removal efficiency in constructed wetlands. J. Clean. Prod. 2020, 267, 122003. [Google Scholar] [CrossRef]
  123. Kuypers, M.M.M.; Marchant, H.K.; Kartal, B. The microbial nitrogen-cycling network. Nat. Rev. Microbiol. 2018, 16, 263–276. [Google Scholar] [CrossRef]
  124. Yamazaki, T.; Hozuki, T.; Arai, K.; Toyoda, S.; Koba, K.; Fujiwara, T.; Yoshida, N. Isotopomeric characterization of nitrous oxide produced by reaction of enzymes extracted from nitrifying and denitrifying bacteria. Biogeosciences 2014, 11, 2679–2689. [Google Scholar] [CrossRef] [Green Version]
  125. Schrnitz, B.W.; Kitajima, M.; Campillo, M.E.; Gerba, C.P.; Pepper, I.L. Virus Reduction during Advanced Bardenpho and Conventional Wastewater Treatment Processes. Environ. Sci. Technol. 2016, 50, 9524–9532. [Google Scholar] [CrossRef] [PubMed]
  126. Duan, H.; Ye, L.; Erler, D.; Ni, B.-J.; Yuan, Z. Quantifying nitrous oxide production pathways in wastewater treatment systems using isotope technology—A critical review. Water Res. 2017, 122, 96–113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  127. Kool, D.M.; Wrage, N.; Zechmeister-Boltenstern, S.; Pfeffer, M.; Brus, D.; Oenema, O.; Van Groenigen, J.W. Nitrifier denitrification can be a source of N2O from soil: A revised approach to the dual-isotope labelling method. Eur. J. Soil Sci. 2010, 61, 759–772. [Google Scholar] [CrossRef]
  128. Thakur, I.S.; Medhi, K. Nitrification and denitrification processes for mitigation of nitrous oxide from waste water treatment plants for biovalorization: Challenges and opportunities. Bioresour. Technol. 2019, 282, 502–551. [Google Scholar] [CrossRef]
  129. Lv, Y.-T.; Zhang, X.; Zhu, C.; Lin, L.; Sun, T.; Wang, X.; Wang, L. Micro-analysis of nitrous oxide accumulation in denitrification under acidic conditions: The role of pH and free nitrous acid. J. Water Process Eng. 2022, 47, 102767. [Google Scholar] [CrossRef]
  130. Li, C.; Wang, Q.; Jia, W. N2O reduction during denitrifying phosphorus removal with propionate as carbon source. Environ. Sci. Pollut. Res. 2022, 29, 12390–12398. [Google Scholar] [CrossRef]
  131. Carreira, C.; Pauleta, S.R.; Moura, I. The catalytic cycle of nitrous oxide reductase—The enzyme that catalyzes the last step of denitrification. J. Inorg. Biochem. 2017, 177, 423–434. [Google Scholar] [CrossRef]
  132. Huang, L.; Gao, X.; Guo, J.; Ma, X.; Liu, M. A review on the mechanism and affecting factors of nitrous oxide emission in constructed wetlands. Environ. Earth Sci. 2012, 68, 2171–2180. [Google Scholar] [CrossRef]
  133. Jia, W.; Zhang, J.; Xie, H.; Yan, Y.; Wang, J.; Zhao, Y.; Xu, X. Effect of PHB and oxygen uptake rate on nitrous oxide emission during simultaneous nitrification denitrification process. Bioresour. Technol. 2012, 113, 232–238. [Google Scholar] [CrossRef]
  134. Kool, D.M.; Dolfing, J.; Wrage, N.; Van Groenigen, J.W. Nitrifier denitrification as a distinct and significant source of nitrous oxide from soil. Soil Biol. Biochem. 2011, 43, 174–178. [Google Scholar] [CrossRef]
  135. Liu, Y.; Ai, G.-M.; Miao, L.-L.; Liu, Z.-P. Marinobacter strain NNA5, a newly isolated and highly efficient aerobic denitrifier with zero N2O emission. Bioresour. Technol. 2016, 206, 9–15. [Google Scholar] [CrossRef] [PubMed]
  136. Massara, T.M.; Malamis, S.; Guisasola, A.; Antonio Baeza, J.; Noutsopoulos, C.; Katsou, E. A review on nitrous oxide (N2O) emissions during biological nutrient removal from municipal wastewater and sludge reject water. Sci. Total Environ. 2017, 596, 106–123. [Google Scholar] [CrossRef] [PubMed]
  137. Li, X.; Sorensen, P.; Olesen, J.E.; Petersen, S.O. Evidence for denitrification as main source of N2O emission from residue-amended soil. Soil Biol. Biochem. 2016, 92, 153–160. [Google Scholar] [CrossRef]
  138. Chen, H.; Zeng, L.; Wang, D.; Zhou, Y.; Yang, X. Recent advances in nitrous oxide production and mitigation in wastewater treatment. Water Res. 2020, 184, 116168. [Google Scholar] [CrossRef]
  139. Kou-Giesbrecht, S.; Menge, D. Nitrogen-fixing trees could exacerbate climate change under elevated nitrogen deposition. Nat. Commun. 2019, 10, e03415. [Google Scholar] [CrossRef] [Green Version]
  140. Bateganya, N.L.; Mentler, A.; Langergraber, G.; Busulwa, H.; Hein, T. Carbon and nitrogen gaseous fluxes from subsurface flow wetland buffer strips at mesocosm scale in East Africa. Ecol. Eng. 2015, 85, 173–184. [Google Scholar] [CrossRef]
  141. VanderZaag, A.C.; Gordon, R.J.; Burton, D.L.; Jamieson, R.C.; Stratton, G.W. Greenhouse Gas Emissions from Surface Flow and Subsurface Flow Constructed Wetlands Treating Dairy Wastewater. J. Environ. Qual. 2010, 39, 460–471. [Google Scholar] [CrossRef]
  142. Zhang, K.; Wu, X.; Wang, W.; Chen, J.; Luo, H.; Chen, W.; Ma, D.; An, X.; Chen, F.; Cheng, L.; et al. Anaerobic oxidation of methane (AOM) driven by multiple electron acceptors in constructed wetland and the related mechanisms of carbon, nitrogen, sulfur cycles. Chem. Eng. J. 2022, 433, 133663. [Google Scholar] [CrossRef]
  143. Lopez, D.; Fuenzalida, D.; Vera, I.; Rojas, K.; Vidal, G. Relationship between the removal of organic matter and the production of methane in subsurface flow constructed wetlands designed for wastewater treatment. Ecol. Eng. 2015, 83, 296–304. [Google Scholar] [CrossRef]
  144. Henneberg, A.; Brix, H.; Sorrell, B.K. The interactive effect of Juncus effusus and water table position on mesocosm methanogenesis and methane emissions. Plant Soil 2016, 400, 45–54. [Google Scholar] [CrossRef]
  145. Saeed, T.; Afrin, R.; Al Muyeed, A.; Sun, G. Treatment of tannery wastewater in a pilot-scale hybrid constructed wetland system in Bangladesh. Chemosphere 2012, 88, 1065–1073. [Google Scholar] [CrossRef]
  146. Liu, C.; Xu, K.; Inamori, R.; Ebie, Y.; Liao, J.; Inamori, Y. Pilot-scale studies of domestic wastewater treatment by typical constructed wetlands and their greenhouse gas emissions. Front. Environ. Sci. Eng. China 2009, 3, 477–482. [Google Scholar] [CrossRef]
  147. Zhao, X.; Liu, L. A comparative estimate of life cycle greenhouse gas emissions from two types of constructed wetlands in Tianjin, China. Desalination Water Treat. 2013, 51, 2280–2293. [Google Scholar] [CrossRef]
  148. Wu, H.; Wang, R.; Yan, P.; Wu, S.; Chen, Z.; Zhao, Y.; Cheng, C.; Hu, Z.; Zhuang, L.; Guo, Z.; et al. Constructed wetlands for pollution control. Nat. Rev. Earth Environ. 2023, 4, 218–234. [Google Scholar] [CrossRef]
  149. Liikanen, A.; Huttunen, J.T.; Karjalainen, S.M.; Heikkinen, K.; Vaisanen, T.S.; Nykanen, H.; Martikainen, P.J. Temporal and seasonal changes in greenhouse gas emissions from a constructed wetland purifying peat mining runoff waters. Ecol. Eng. 2006, 26, 241–251. [Google Scholar] [CrossRef]
  150. Zhai, X.; Piwpuan, N.; Arias, C.A.; Headley, T.; Brix, H. Can root exudates from emergent wetland plants fuel denitrification in subsurface flow constructed wetland systems? Ecol. Eng. 2013, 61, 555–563. [Google Scholar] [CrossRef]
  151. Chang, J.; Fan, X.; Sun, H.; Zhang, C.; Song, C.; Chang, S.X.; Gu, B.; Liu, Y.; Li, D.; Wang, Y.; et al. Plant species richness enhances nitrous oxide emissions in microcosms of constructed wetlands. Ecol. Eng. 2014, 64, 108–115. [Google Scholar] [CrossRef]
  152. Turner, J.C.; Moorberg, C.J.; Wong, A.; Shea, K.; Waldrop, M.P.; Turetsky, M.R.; Neumann, R.B. Getting to the Root of Plant-Mediated Methane Emissions and Oxidation in a Thermokarst Bog. J. Geophys. Res.-Biogeosci. 2020, 125, e2020JG005825. [Google Scholar] [CrossRef]
  153. Picek, T.; Čížková, H.; Dušek, J. Greenhouse gas emissions from a constructed wetland—Plants as important sources of carbon. Ecol. Eng. 2007, 31, 98–106. [Google Scholar] [CrossRef]
  154. Chowdhury, T.R.; Dick, R.P. Ecology of aerobic methanotrophs in controlling methane fluxes from wetlands. Appl. Soil Ecol. 2013, 65, 8–22. [Google Scholar] [CrossRef]
  155. Gu, X.; Chen, D.; Wu, F.; Tang, L.; He, S.; Zhou, W. Function of aquatic plants on nitrogen removal and greenhouse gas emission in enhanced denitrification constructed wetlands: Iris pseudacorus for example. J. Clean. Prod. 2022, 330, 129842. [Google Scholar] [CrossRef]
  156. Du, Y.; Pan, K.; Yu, C.; Luo, B.; Gu, W.; Sun, H.; Min, Y.; Liu, D.; Geng, Y.; Han, W.; et al. Plant diversity decreases net global warming potential integrating multiple functions in microcosms of constructed wetlands. J. Clean. Prod. 2018, 184, 718–726. [Google Scholar] [CrossRef]
  157. Zhao, Z.; Chang, J.; Han, W.; Wang, M.; Ma, D.; Du, Y.; Qu, Z.; Chang, S.X.; Ge, Y. Effects of plant diversity and sand particle size on methane emission and nitrogen removal in microcosms of constructed wetlands. Ecol. Eng. 2016, 95, 390–398. [Google Scholar] [CrossRef]
  158. Kwon, M.J.; Beulig, F.; Ilie, I.; Wildner, M.; Kuesel, K.; Merbold, L.; Mahecha, M.D.; Zimov, N.; Zimov, S.A.; Heimann, M.; et al. Plants, microorganisms, and soil temperatures contribute to a decrease in methane fluxes on a drained Arctic floodplain. Glob. Change Biol. 2017, 23, 2396–2412. [Google Scholar] [CrossRef]
  159. Van der Nat, F.J.; Middelburg, J.J. Methane emission from tidal freshwater marshes. Biogeochemistry 2000, 49, 103–121. [Google Scholar] [CrossRef]
  160. Juutinen, S.; Larmola, T.; Remus, R.; Mirus, E.; Merbach, W.; Silvola, J.; Augustin, J. The contribution of Phragmites australis litter to methane (CH4) emission in planted and non-planted fen microcosms. Biol. Fertil. Soils 2003, 38, 10–14. [Google Scholar] [CrossRef]
  161. Zhu, N.; An, P.; Krishnakumar, B.; Zhao, L.; Sun, L.; Mizuochi, M.; Inamori, Y. Effect of plant harvest on methane emission from two constructed wetlands designed for the treatment of wastewater. J. Environ. Manag. 2007, 85, 936–943. [Google Scholar] [CrossRef]
  162. Mander, U.; Maddison, M.; Soosaar, K.; Karabelnik, K. The Impact of Pulsing Hydrology and Fluctuating Water Table on Greenhouse Gas Emissions from Constructed Wetlands. Wetlands 2011, 31, 1023–1032. [Google Scholar] [CrossRef]
  163. Ji, B.; Chen, J.; Mei, J.; Chang, J.; Li, X.; Jia, W.; Qu, Y. Roles of biochar media and oxygen supply strategies in treatment performance, greenhouse gas emissions, and bacterial community features of subsurface-flow constructed wetlands. Bioresour. Technol. 2020, 302, 122890. [Google Scholar] [CrossRef]
  164. Zhuang, L.-L.; Li, M.; Li, Y.; Zhang, L.; Xu, X.; Wu, H.; Liang, S.; Su, C.; Zhang, J. The performance and mechanism of biochar-enhanced constructed wetland for wastewater treatment. J. Water Process Eng. 2022, 45, 102522. [Google Scholar] [CrossRef]
  165. Cheng, S.; Qin, C.; Xie, H.; Wang, W.; Hu, Z.; Liang, S.; Feng, K. A new insight on the effects of iron oxides and dissimilated metal-reducing bacteria on CH4 emissions in constructed wetland matrix systems. Bioresour. Technol. 2021, 320, 124296. [Google Scholar] [CrossRef]
  166. Cheng, S.; Qin, C.; Xie, H.; Wang, W.; Zhang, J.; Hu, Z.; Liang, S. Comprehensive evaluation of manganese oxides and iron oxides as metal substrate materials for constructed wetlands from the perspective of water quality and greenhouse effect. Ecotoxicol. Environ. Saf. 2021, 221, 112451. [Google Scholar] [CrossRef] [PubMed]
  167. Huang, B.; Yu, K.; Gambrell, R.P. Effects of ferric iron reduction and regeneration on nitrous oxide and methane emissions in a rice soil. Chemosphere 2009, 74, 481–486. [Google Scholar] [CrossRef]
  168. Dong, C.; Li, M.; Zhuang, L.-L.; Zhang, J.; Shen, Y.; Li, X. The Improvement of Pollutant Removal in the Ferric-Carbon Micro-Electrolysis Constructed Wetland by Partial Aeration. Water 2020, 12, 389. [Google Scholar] [CrossRef] [Green Version]
  169. Wang, H.; Xu, J.; Sheng, L. Purification mechanism of sewage from constructed wetlands with zeolite substrates: A review. J. Clean. Prod. 2020, 258, 120760. [Google Scholar] [CrossRef]
  170. Zhou, S.; Wang, C.; Liu, C.e.; Sun, H.; Zhang, J.; Zhang, X.; Xin, L. Nutrient removal, methane and nitrous oxide emissions in a hybrid constructed wetland treating anaerobic digestate. Sci. Total Environ. 2020, 733, 138338. [Google Scholar] [CrossRef]
  171. Zhao, Z.; Hao, Q.; Ma, R.; Chen, X.; Xiong, Y.; Hu, J.; Zhang, G.; Jiang, C. Ferric-carbon micro-electrolysis and zeolite reduce CH4 and N2O emissions from the aerated constructed wetland. J. Clean. Prod. 2022, 342, 130946. [Google Scholar] [CrossRef]
  172. Zhang, G.; Hao, Q.; Ma, R.; Luo, S.; Chen, K.; Liang, Z.; Jiang, C. Biochar and hematite amendments suppress emission of CH4 and NO2 in constructed wetlands. Sci. Total Environ. 2023, 874, 162451. [Google Scholar] [CrossRef]
  173. Huo, J.; Hu, X.; Cheng, S.; Xie, H.; Hu, Z.; Wu, H.; Liang, S. Effects and mechanisms of constructed wetlands with different substrates on N2O emission in wastewater treatment. Environ. Sci. Pollut. Res. Int. 2022, 29, 19045–19053. [Google Scholar] [CrossRef]
  174. Wu, X.L.; Chin, K.J.; Conrad, R. Effect of temperature stress on structure and function of the methanogenic archaeal community in a rice field soil. FEMS Microbiol. Ecol. 2002, 39, 211–218. [Google Scholar] [CrossRef]
  175. Conrad, R. Microbial ecology of methanogens and methanotrophs. Adv. Agron. 2007, 96, 1–63. [Google Scholar]
  176. Hoj, L.; Olsen, R.A.; Torsvik, V.L. Effects of temperature on the diversity and community structure of known methanogenic groups and other archaea in high Arctic peat. ISME J. 2008, 2, 37–48. [Google Scholar] [CrossRef] [PubMed]
  177. Ding, W.X.; Cai, Z.C.; Wang, D.X. Preliminary budget of methane emissions from natural wetlands in China. Atmos. Environ. 2004, 38, 751–759. [Google Scholar] [CrossRef]
  178. Zhang, K.; Wang, J.; Liu, X.; Fu, X.; Luo, H.; Li, M.; Jiang, B.; Chen, J.; Chen, W.; Huang, B.; et al. Methane emissions and methanogenic community investigation from constructed wetlands in Chengdu City. Urban Clim. 2021, 39, 100956. [Google Scholar] [CrossRef]
  179. Maucieri, C.; Borin, M.; Milani, M.; Cirelli, G.L.; Barbera, A.C. Plant species effect on CO2 and CH4 emissions from pilot constructed wetlands in Mediterranean area. Ecol. Eng. 2019, 134, 112–117. [Google Scholar] [CrossRef]
  180. Shao, X.; Zhao, L.; Sheng, X.; Wu, M. Effects of influent salinity on water purification and greenhouse gas emissions in lab-scale constructed wetlands. Environ. Sci. Pollut. Res. 2020, 27, 21487–21496. [Google Scholar] [CrossRef]
  181. Lu, Y.; Fu, L.; Lu, Y.; Hugenholtz, F.; Ma, K. Effect of temperature on the structure and activity of a methanogenic archaeal community during rice straw decomposition. Soil Biol. Biochem. 2015, 81, 17–27. [Google Scholar] [CrossRef]
  182. Ström, L.; Lamppa, A.; Christensen, T.R. Greenhouse gas emissions from a constructed wetland in southern Sweden. Wetl. Ecol. Manag. 2006, 15, 43–50. [Google Scholar] [CrossRef]
  183. Mander, U.; Maddison, M.; Soosaar, K.; Koger, H.; Teemusk, A.; Truu, J.; Well, R.; Sebilo, M. The impact of a pulsing water table on wastewater purification and greenhouse gas emission in a horizontal subsurface flow constructed wetland. Ecol. Eng. 2015, 80, 69–78. [Google Scholar] [CrossRef]
  184. Maucieri, C.; Borin, M.; Barbera, A.C. Role of C3 plant species on carbon dioxide and methane emissions in Mediterranean constructed wetland. Ital. J. Agron. 2014, 9, 120–126. [Google Scholar] [CrossRef] [Green Version]
  185. de la Varga, D.; Ruiz, I.; Alvarez, J.A.; Soto, M. Methane and carbon dioxide emissions from constructed wetlands receiving anaerobically pretreated sewage. Sci. Total Environ. 2015, 538, 824–833. [Google Scholar] [CrossRef] [PubMed]
  186. Guo, K.; Hakobyan, A.; Glatter, T.; Paczia, N.; Liesack, W. Methylocystis sp. Strain SC2 Acclimatizes to Increasing NH4+ Levels by a Precise Rebalancing of Enzymes and Osmolyte Composition. Msystems 2022, 7, e00403-22. [Google Scholar] [CrossRef]
  187. Hu, S.; Zeng, R.J.; Keller, J.; Lant, P.A.; Yuan, Z. Effect of nitrate and nitrite on the selection of microorganisms in the denitrifying anaerobic methane oxidation process. Environ. Microbiol. Rep. 2011, 3, 315–319. [Google Scholar] [CrossRef] [PubMed]
  188. Reay, D.S.; Nedwell, D.B. Methane oxidation in temperate soils: Effects of inorganic N. Soil Biol. Biochem. 2004, 36, 2059–2065. [Google Scholar] [CrossRef]
  189. Raghoebarsing, A.A.; Pol, A.; van de Pas-Schoonen, K.T.; Smolders, A.J.P.; Ettwig, K.F.; Rijpstra, W.I.C.; Schouten, S.; Damste, J.S.S.; Op den Camp, H.J.M.; Jetten, M.S.M.; et al. A microbial consortium couples anaerobic methane oxidation to denitrification. Nature 2006, 440, 918–921. [Google Scholar] [CrossRef] [Green Version]
  190. Ettwig, K.F.; Butler, M.K.; Le Paslier, D.; Pelletier, E.; Mangenot, S.; Kuypers, M.M.M.; Schreiber, F.; Dutilh, B.E.; Zedelius, J.; de Beer, D.; et al. Nitrite-driven anaerobic methane oxidation by oxygenic bacteria. Nature 2010, 464, 543–548. [Google Scholar] [CrossRef] [Green Version]
  191. Nordi, K.A.; Thamdrup, B. Nitrate-dependent anaerobic methane oxidation in a freshwater sediment. Geochim. Et Cosmochim. Acta 2014, 132, 141–150. [Google Scholar] [CrossRef]
  192. Wunderlin, P.; Mohn, J.; Joss, A.; Emmenegger, L.; Siegrist, H. Mechanisms of N2O production in biological wastewater treatment under nitrifying and denitrifying conditions. Water Res. 2012, 46, 1027–1037. [Google Scholar] [CrossRef]
  193. Zhao, Y.; Zhang, Y.; Ge, Z.; Hu, C.; Zhang, H. Effects of influent C/N ratios on wastewater nutrient removal and simultaneous greenhouse gas emission from the combinations of vertical subsurface flow constructed wetlands and earthworm eco-filters for treating synthetic wastewater. Environ. Sci.-Process. Impacts 2014, 16, 567–575. [Google Scholar] [CrossRef]
  194. Huang, W.; Zhao, Y.; Wu, J.; Zhang, J.; Zheng, Z. Effects of different influent C/N ratios on the performance of various earthworm eco-filter systems: Nutrient removal and greenhouse gas emission. World J. Microbiol. Biotechnol. 2014, 30, 109–118. [Google Scholar] [CrossRef]
  195. Wu, J.; Zhang, J.; Jia, W.; Xie, H.; Gu, R.R.; Li, C.; Gao, B. Impact of COD/N ratio on nitrous oxide emission from microcosm wetlands and their performance in removing nitrogen from wastewater. Bioresour. Technol. 2009, 100, 2910–2917. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Constructed wetland configurations: (a) A free water surface flow constructed wetland with three types of plants; (b) Planted horizontal subsurface flow constructed wetland with Typha orientalis; (c) Planted vertical subsurface flow constructed wetland with Typha orientalis.
Figure 1. Constructed wetland configurations: (a) A free water surface flow constructed wetland with three types of plants; (b) Planted horizontal subsurface flow constructed wetland with Typha orientalis; (c) Planted vertical subsurface flow constructed wetland with Typha orientalis.
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Figure 2. Production, transport, and oxidation processes of CH4 in CWs.
Figure 2. Production, transport, and oxidation processes of CH4 in CWs.
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Figure 3. Aerobic methane oxidation in all living cells is based on the reference [108].
Figure 3. Aerobic methane oxidation in all living cells is based on the reference [108].
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Figure 4. Summary of estimated rates of carbon cycling in the Phragmites australis wetland at Vejlerne Nature Reserve, Denmark, based on the reference [87]. The red narrows denote where the carbon ends up. Figures denote the estimated annual rates of the processes indicated (unit: mol C m−2 year−1).
Figure 4. Summary of estimated rates of carbon cycling in the Phragmites australis wetland at Vejlerne Nature Reserve, Denmark, based on the reference [87]. The red narrows denote where the carbon ends up. Figures denote the estimated annual rates of the processes indicated (unit: mol C m−2 year−1).
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Figure 5. The mechanisms of N2O production.
Figure 5. The mechanisms of N2O production.
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Yin, X.; Jiang, C.; Xu, S.; Yu, X.; Yin, X.; Wang, J.; Maihaiti, M.; Wang, C.; Zheng, X.; Zhuang, X. Greenhouse Gases Emissions of Constructed Wetlands: Mechanisms and Affecting Factors. Water 2023, 15, 2871. https://doi.org/10.3390/w15162871

AMA Style

Yin X, Jiang C, Xu S, Yu X, Yin X, Wang J, Maihaiti M, Wang C, Zheng X, Zhuang X. Greenhouse Gases Emissions of Constructed Wetlands: Mechanisms and Affecting Factors. Water. 2023; 15(16):2871. https://doi.org/10.3390/w15162871

Chicago/Turabian Style

Yin, Xiaoxue, Cancan Jiang, Shengjun Xu, Xiaojuan Yu, Xiaolin Yin, Jinglin Wang, Mairemu Maihaiti, Cong Wang, Xiaoxu Zheng, and Xuliang Zhuang. 2023. "Greenhouse Gases Emissions of Constructed Wetlands: Mechanisms and Affecting Factors" Water 15, no. 16: 2871. https://doi.org/10.3390/w15162871

APA Style

Yin, X., Jiang, C., Xu, S., Yu, X., Yin, X., Wang, J., Maihaiti, M., Wang, C., Zheng, X., & Zhuang, X. (2023). Greenhouse Gases Emissions of Constructed Wetlands: Mechanisms and Affecting Factors. Water, 15(16), 2871. https://doi.org/10.3390/w15162871

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