Next Article in Journal
Proposal of a Reflector-Enhanced Solar Still Concept and Its Comparison with Conventional Solar Stills
Previous Article in Journal
The Impact of Decreased Atmospheric Pressure on Forced Aeration of Discharged Flow
Previous Article in Special Issue
Dynamics of Coastal Aquifers: Conceptualization and Steady-State Calibration of Multilayer Aquifer System—Southern Coast of Emilia Romagna
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Groundwater Depletion and Degradation in the North China Plain: Challenges and Mitigation Options

by
Jun Du
1,
Yaseen Laghari
2,
Yi-Chang Wei
3,*,
Linyi Wu
3,
Ai-Ling He
1,
Gao-Yuan Liu
1,
Huan-Huan Yang
1,
Zhong-Yi Guo
4 and
Shah Jahan Leghari
5
1
Institute of Plant Nutrition and Resource Environment, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
2
College of Marine Science and Engineering, Nanjing Normal University, Nanjing 210097, China
3
College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
4
China Zhumadian Academy of Agricultural Sciences, Zhumadian 463000, China
5
College of Mechanical and Electronical Engineering, Northwest A&F University, Xianyang 712100, China
*
Author to whom correspondence should be addressed.
Water 2024, 16(2), 354; https://doi.org/10.3390/w16020354
Submission received: 5 December 2023 / Revised: 13 January 2024 / Accepted: 17 January 2024 / Published: 21 January 2024
(This article belongs to the Special Issue Groundwater Management in a Changing World: Challenges and Endeavors)

Abstract

:
Groundwater is an important natural resource in the North China Plain (NCP) with high economic benefits and social significance. It fulfills 60% of drinking and 70% of irrigation water requirements. In this review, the information is retrieved from high-quality articles published in MEDLINE and other sources. We saw that groundwater is declining faster (>1 m yr−1) and polluting with NO3 (>30 mg L−1) due to excessive water pumping and application of a nitrogen (N) fertilizer, respectively. The water pumping (>600 mm ha−1 yr−1) for agricultural purposes in the region is higher than the recharge amount (<200 mm yr−1). The low recharge is the result of low rainfall (<600 mm yr−1), and high evapotranspiration (>800 mm yr−1) under the impact of dominant vegetative characteristics of winter wheat–summer maize (WW-SM) rotations, covering >80% of the land. Furthermore, N application exceeds the crop assimilation capacity (>250 kg ha−1 yr−1) and leach deep down (>50 kg ha−1) as well as loss in the atmosphere. Presently, Beijing, Tianjin, and Hebei are ecologically the most affected areas. We suggest that excessive water and N fertilizer use for intensive cropping systems should be controlled by paying high attention to groundwater-friendly farming practices. In addition, artificial groundwater recharge options and their safe utilization would be explored across the region to replenish aquifers. This literature review contributes valuable insights to the knowledge bank and offers a foundation for further research and policy development.

1. Introduction

The degradation and depletion of groundwater worldwide have become serious environmental problems that endanger ecosystem health and water security [1]. Rapid urbanization, industrial needs, and intensive agricultural irrigation all lead to unsustainable extraction rates, which lower water tables and deteriorate aquifers [2]. Over pumping for agricultural and urban water supply has resulted in significant drops in groundwater levels in the Middle East, the United States, China, and the Indian subcontinent regions [3]. Climate change exacerbates the problem by changing precipitation patterns and affecting aquifers’ natural replenishment too [4]. Groundwater becomes unsafe for human consumption due to pollution caused by inappropriate waste disposal, industrial discharges, and agricultural runoff [5].
According to World Health Organization (WHO) estimation due to pollution problems, almost 2 billion people worldwide do not have access to clean drinking water [6]. Recharging aquifers, encouraging water use efficiency, and implementing effective irrigation techniques are all examples of initiatives that are essential to sustainable groundwater management [7]. Reducing pollution and over-extraction is largely dependent on the establishment of strong monitoring programs, legal frameworks, and public awareness initiatives [8]. The necessity of sustainable groundwater management is emphasized by the 2030 Agenda for Sustainable Development, particularly Goal 6 (Clean Water and Sanitation), to protect the supply of clean water for present and future generations [9].
China is experiencing an over-extraction of groundwater from aquifers due to the country’s fast economic expansion, urbanization, and intensification of agriculture. Due to this, groundwater levels have decreased, land has begun to sink, and the quality of the water has gotten worse [10]. The overuse of water for agriculture in China is a major cause of groundwater depletion. Large-scale irrigation projects and the production of crops that require a lot of water have resulted in unsustainable rates of extraction, especially in northern areas like the North China Plain [11]. Furthermore, a serious problem is the deterioration of groundwater quality, which is made unsafe for agricultural and drinking uses by untreated sewage, industrial discharges, and agricultural runoff [12,13]. Statistics of water consumption in 2020 are presented in Figure 1 [14].

2. Overview of North China Plain (NCP)

The NCP is located in the eastern coastal region of China (34°46–40°25′ N and 112°30′–119°30′ E). The Yanshan mountain border from the north, south, and west is the Tailhang, Dabie, and Tianmu mountains, while from the east is the Yellow Sea boundary. The region is widely extended to Henan, Hebei, and Shandong provinces and merges with the Yangtze River in the north of Jiangsu and Anhui. Beijing is the national capital, Tianjin is a hub of industries, and Shandong is the base of petroleum. Thus, the region is the main economic and political center of the county [15,16].
The region has subtropical monsoon climatic conditions. Seasonally, dry cold air emanating from central Asian regions prevails from December to February, resulting in a temperature drop below −0 °C. The mean temperature during summer, particularly June to July, ranges between 25° and 28 °C, which are considered the hottest months. Thus, the region is classified into four distinct seasons based on changing weather year-round, including spring (dry), summer (hot), autumn (windy), and winter (cold). The annual precipitation is highly variable (300–1000 mm) throughout the NCP, with a mean range from <600 mm and about 70% rainfalls during the maize growing season from June to September [17]. Low rainfall makes the plain prone to drought. In the case of the current paper, a set of 50 years of weather data comprising 89 stations was obtained from China’s National Meteorological Information Centre (NMIC). Generally, there is no balance between mean annual rainfall and evapotranspiration. The long-term climatic scenario in the North China Plain is presented in Figure 2.
In the case of soil characteristics of NCP, it is mainly fluvo-aquic; other types include meadow and coastal solonchak, saline meadow, saline swamp, sandy, and cinnamon. Illite is the dominant layer silicate mineral; smectite, kaolinite, and chlorite are subdominant. In most counties, the saline and sodic soils are severe problems for agricultural sustainability, where soil properties are affected by monsoon rainfall events, groundwater chemistry, and its depth, as well as surface water and variation in topographical characteristics. The soils of most areas have low clay content [19,20]; however, it is suitable for most field crops.
The double cropping of winter wheat–summer maize (WW-SM) rotation is the dominant pattern throughout the regions, covering >80%. Hence, this region meets >60% of the national wheat and >30% of the corn demand of the country, and >50% of peanuts are also produced here. All these features make this region crucially self-sufficient in food [21]. The geographical boundary of NCP in China is shown in Figure 3.
In agriculture, modern technology, mechanization, and fertilization greatly help boost crop productivity. Increased incomes dramatically changed the living standards of rural peoples, poverty levels dropped sharply, and extreme poverty was eradicated. For example, a significant increase in wheat yield (0.7 Mg ha−1) was observed in 2009 [22]. Nonetheless, with that success, the side effects became visible within a short period in terms of groundwater decline, and N pollution in the water bodies and air due to systematic change in crop cultivation such as overuse of irrigation and fertilizers [23,24]. The excessive water use in crop production system increased pressure on water-resources throughout the region and excessive chemical fertilizer application deteriorated water quality [25]. Approximately 15% of food production in China could reduce due to water shortage caused by continuous groundwater decline [26]. These concerns of groundwater depletion and N contamination have existed for a long time. NO3 has been found in shallow to deep aquifers [27]. A recent study [28] revealed that N contamination was dominant with an excessive limit of water quality standards in farmlands due to the use of manures. Groundwater in villages is unsafe, and the consumption of water contaminated by high NO3 levels could cause several diseases in rural people [29].
In response to escalating environmental concerns, the government has taken proactive measures through legislative actions. For instance, a prohibition on groundwater pumping has been enforced along the fourth ring road of Beijing. Additionally, efforts have been made to advocate for eco-friendly policies, such as the implementation of the ‘land fallow system’. This system encourages leaving soil unsown in regions heavily impacted by groundwater depletion and pollution, particularly during the winter season. In 2014, a document for water resources conservation was first proposed, and then NCP was selected as one of the leading ecologically degraded and NO3-contaminated zones. After that, researchers focused highly on the NCP, and many experiments were conducted. Research is ongoing to overcome the problems [30,31]. The scientific outcomes are widely published. However, the latest review of the literature on the interaction between cropping systems and their impact on the environment is not available, which can collectively provide results and recommendations abstracting from research papers. Therefore, in the current review, our objectives were (i) to highlight the environmental issues for groundwater protection in NCP and (ii) to collect the latest scientific information from the literature and deposit it into the knowledge bank for researchers’ use, those working on ecosystem conservation.

3. Environmental Challenges

Currently, the entire NCP region is experiencing serious groundwater decline and NO3 pollution in water bodies due to the intensive double cropping pattern of WW-SM under the farmer management practices. There are >7.6 million tubewells throughout the region. The farmers of this region normally apply 6–7 times the irrigation in the WW-SM rotations by each time pumping >90 mm; thus, annual groundwater abstraction reaches >600 mm ha−1 [32], and (N) fertilizer application exceeds the crop utilization capacity of >250 kg ha−1 yr−1 [33]. Approximately >400 mm of irrigation water is applied to the winter wheat crop. Consequently, enormous water pumping caused a >1 m yr−1 groundwater decline [32] and overuse of N-contaminated groundwater via the NO3 leaching pathway [34]. In this paper, we have categorized NCP’s environmental problems as groundwater depletion and degradation through NO3 contamination, which are discussed below under the sub-headings of 3.1 and 3.2. The historically measured groundwater water table drop is shown in Figure 4 and the present ecosystem scenario of the region is precisely illustrated in Figure 5.

3.1. Groundwater Depletion

Groundwater is an important natural resource in the NCP with high economic benefits and social significance. It consists of four grouped layers of the aquifer. The first, second, third, and fourth aquifers are about 40 m, 130 m, 220 m, and 350 m deep, respectively. The specific yield of aquifers varies between 0.04 and 0.25 m, depending on their rock material. Since the 1970s, frequent excessive water pumping has caused scarcity of underground water reservoirs. Consequently, the first aquifer is already depleted, and now the second aquifer is going to be depleted because water pumping from the ground for crop purposes is quicker than it can replenish. The annual natural water refilling is low due to low rainfall intensity. The amount of water from rainfall cannot meet the recharge requirements. Therefore, the plain is the world’s fastest depleting groundwater region [11,35]. The situation can be even tighter in the near future, and the agricultural system may fluctuate badly. For example, the water table is continuously decreasing every year in the counties along with the Beijing capital side, and the fast development of urban areas will further increase the demand for water and reduce its availability. Xiao et al. [36] reported that there is no balance between the water overdraft of a prevalent cropping pattern and groundwater recharge. Luo et al. [37] conducted a field experiment on different cropping patterns for 4 years and reported that WW-SM caused the highest groundwater level drop and had the lowest <128 mm recharge amount.
Recently, Liang et al. [38] evaluated various cropping patterns and reported that the primary reason for groundwater decline was winter wheat. Wheat crop water consumption was about 300–450 mm yr−1, which substantially exceeds the average annual rainfall of 280 mm yr−1 [39]. On the other hand, surface water resources are insufficient; groundwater is the only strong source of irrigation [36], which accounts for 70% of the total water supply [40] and low rainfall could only meet 25–40% of crop water requirements [41].
Many studies have reported groundwater level drops and their causes by using different methodologies and techniques. Some researchers have used Geographical Information Systems (GISs) to analyze water availability and geographic distribution. The GIS and its tools are widely used in agriculture. The management of crop yield, optimization of rotations, soil mapping, and analysis of groundwater vulnerability, storage potential, and flow are greatly visualized and estimated by using GIS for future strategies. There are several advantages of GIS, such as covering a wide area in the research, which is easier than manually measuring. For example, groundwater storage variation monitoring in mountain and arid regions is not only challenging but also time-consuming through relying on the observation of wells because the well observations are generally limited [42] and satellite missions such as the Gravity Recovery and Climate Experiment (GRACE) provide monthly changes in terrestrial water storage [43]. Feng et al. [44] used GRACE satellite data to estimate groundwater storage changes in the NCP during 2002–2014 and reported that groundwater is being depleted faster. Yin et al. [45] also estimated groundwater drops and reported that groundwater was severely depleted, particularly in the Beijing, Tianjin, and Hebei provinces. In a recent study, Kumar et al. [46] stated that NCP has an unsustainable groundwater level as compared to the south of China. Lin et al. [47] identified the hotspots within the Yellow River basin, where the water declination rate was relatively higher in the west and east areas of the river. This description indicates that groundwater security is quite important. Table 1 shows the different studies and estimations about groundwater decline from 2001 to the present. The table contains local and regional level outcomes of experimental work conducted in the NCP. We have calculated the average groundwater decline value as 1.18 m yr−1 from surveyed publications. The historically measured groundwater water table drop from July 1974 to June 2014 and its forecasted trend are shown in Figure 4 [48].
Figure 4. Historical groundwater water table drop in NCP [48].
Figure 4. Historical groundwater water table drop in NCP [48].
Water 16 00354 g004

3.2. Groundwater Degradation

Environmental pollution is another serious problem of NCP. Heavy reliance on N fertilizers to boost grain productivity compared to the past created tough challenges for both agriculture and environmental sectors. It has been identified that agricultural farming causes more pollution than any other source [49,50]. A recent study showed that fertilizer use increased by >30% in the past few years [51]. Intensive use of commercially available chemical fertilizers is hazardous to the ecosystem (Figure 5) as they are produced by blending with a range of trace metals [52]. A typical plant can uptake half of the applied N only, while the remaining enters water bodies via a deep drain in the process of leaching and is lost to the atmosphere through volatilization and denitrification pathways [53,54]. In the NCP, the normal N fertilizer application rate reaches >600 kg ha−1 yr−1, exceeding up to >250 kg N ha−1 yr−1 compared to the crop N requirement (CNR) for optimum growth and development [33]. The exceeded N is generally lost and consequently contaminates the environment since N, in the form of NO3, is highly water-soluble and mobile. Therefore, it moves and displaces freely with water through most types of soils. Approximately a 10–20% N loss takes place via leaching from the crop production system. Many researchers characterized the agriculture of the region as low-N-efficient. The N fertilizer efficiency is often <25% to 20% because farmers apply N through the broadcasting method, which is an inefficient method as compared to modern techniques. Ju et al. [55] reported that annual N application at the rate of >550 kg ha−1 did not increase yield and led to two times greater NO3 losses. Cao et al. [56] observed a peak of N fluxes at >180 kg N ha−1, and it was observed immediately after fertilization. Wang et al. [57] performed a meta-analysis, covering >150 field measurements for N loss from an agricultural system. They stated that NCP is more widely affected by N contamination than any other region. Proper farming practices that keep the soil moisture and pH at the optimum levels would help decrease different forms of N losses such as NO and NO3 [58], and Li et al. [59] examined cropping systems and found that the NO3 flux was closely related to irrigation levels and N fertilizer application rates; <40 kg ha−1 NO3 leaching was observed when the N rate was <180 kg ha−1, and maximum >50 kg ha−1 NO3 leaching was noticed when the N rate was >400 kg ha−1 in combination with >300 mm irrigation. Technically, field water transports the excessive NO3 to deep groundwater; thus, it is the dominant pathway of NO3 deposition in groundwater [60]. The leached NO3 deteriorates both shallow and deep water with an estimate of >20 mg L−1. Recently, Wang et al. [28] compared different land use types, including farmland, forestland, and areas that were under natural vegetation. They found that NO3 contamination in water reached up to 50 mg L−1 in farmlands because of manure use being >223 kg N ha−1 yr−1. This is an excessive limit of NO3 in the water following the water quality standard index and the World Health Organization’s (WHO) criteria for safe water [6]. The consumption of such highly degraded water for drinking could cause the conversion of hemoglobin to methemoglobin, which depletes oxygen levels in the blood, thyroid gland enlargement, congenital disabilities, stomach, colorectal, bladder, and breast cancer, and hypertension. Water that is contaminated with >10 mg NO3 L−1 is the most dangerous for the health of children. Furthermore, the complete details about how NO3-s adversely impact health are well elaborated in the specific literature of [29], where they specifically studied the N in relation to human health issues. In the case of the current paper, we have calculated the average value of NO3 contamination in the groundwater as 48.67 mg L−1 from surveyed publications (Table 1).
In this section on environmental problems, we found that groundwater depletion and N contamination are two serious challenges. These issues can be more complicated in the near future. How do we overcome these problems? What are the mitigation measures? We have given some options under the new heading, heading 3.
Figure 5. A complete scenario of NCP, where Beijing, Tianjin, and Hebei are the most affected areas in terms of both groundwater depletion and degradation. ET: Evapotranspiration, IWR: Irrigation water requirement, DWR: Drinking water requirement [28,33,38,45,61,62,63,64,65,66].
Figure 5. A complete scenario of NCP, where Beijing, Tianjin, and Hebei are the most affected areas in terms of both groundwater depletion and degradation. ET: Evapotranspiration, IWR: Irrigation water requirement, DWR: Drinking water requirement [28,33,38,45,61,62,63,64,65,66].
Water 16 00354 g005
Table 1. Groundwater (GW) depletion rate and NO3−1 contamination in groundwater reported by different researchers.
Table 1. Groundwater (GW) depletion rate and NO3−1 contamination in groundwater reported by different researchers.
GW DepletionLocationNO3 LevelLocationReferences
0.10 m yr−1Hebei to Tianjin2.18 mg L−1Eastern Taihang Mountains[67,68]
3.83 m yr−1Zhangjiakou178.7 mg L−1Hutuo River Valley Plain[69,70]
1.30 m yr−1Luancheng10.34 mg L−1Baiyangdian Lake Area[71,72]
0.33 m yr−1Hebei1.840 mg L−1Beijing Urban Sides[38,73]
1.70 m yr−1Shijiazhuang70.40 mg L−1Rural Beijing[74,75]
0.59 m yr−1Beijing and Tianjin124.4 mg L−1Hutuo River Plain[37,76]
1.00 m yr−1WR6.230 mg L−1Pinggu District[77,78]
1.60 m yr−1Hebei50.00 mg L−1WR[28,79]
1.10 m yr−1Luancheng184.6 mg L−1Shandong[66,80]
1.14 m yr−1Taihang Mountain47.70 mg L−1Catchment Areas of Hutuo[81,82]
1.15 m yr−1Hufu Plain134.8 mg L−1Baiyang Lake Area[83,84]
1.25 m yr−1WR31.60 mg L−1Beiyishui Watershed[30,85]
1.50 m yr−1Luancheng10.00 mg L−1Luoyang Basin Area[86,87]
1.00 m yr−1WR29.60 mg L−1Yellow River Sides[87,88]
1.07 m yr−1Taihang Mountains13.40 mg L−1WR[89,90]
0.71 m yr−1Piedmont Plain56.80 mg L−1Tangshan[91,92]
0.80 m yr−1Xian9.370 mg L−1Hebei[93,94]
1.21 m yr−1Hebei13.80 mg L−1Beijing[95,96]
1.00 m yr−1WR10.00 mg L−1Huantai[97,98]
0.45 m yr−1Hebei20.00 mg L−1Quzhou[99,100]
0.87 m yr−1Ningjin20.00 mg L−1Shijiazhuang[101,102]
1.10 m yr−1Shijiazhuang45.00 mg L−1Beijing and Surroundings[103,104]
Note: Hence, the average value of groundwater depletion is calculated as 1.18 m yr−1 from the surveyed publications and the average value of NO3 contamination in the groundwater is calculated as 48.67 L−1. The classification of NO3 content levels: 0–3 mg L−1 (clean), 3–6 mg L−1 (lightly polluted), 6–10 mg L−1 (polluted), and 10 or >10 mg L−1 (severely polluted) [105]. The WR indicates that the study reported on the whole region. GW is groundwater.

4. Mitigation Options

There are several mitigation options that could be taken in the NCP to overcome groundwater depletion and reduce the risk of water pollution. These include water saving and change in crop type, the ban on cereals, reduced and soil test-based N application, use of slow-release coated urea, and optimum irrigation to minimize the risk of N transport in the groundwater through deep drainage. All these options fall in the category of a cropping system. Therefore, a change in the cropping system has high potential [38] and has been found to be the most commonly used approach in the literature related to NCP published by researchers. Other options, including artificial recharge by utilizing urban and industrial wastewater, could be significant as well. However, brackish water should not be used on high land [5]. It is somewhat suitable only for lowlands as a substitution for freshwater [105]. In Figure 6, some broad options are enlisted where sub-components are classified with their potential level.

4.1. Cropping System Change Option

The cropping system is a broad idea, where selections of crop type and cultivation practices are critically important. A cropping system should be environment-friendly and socio-economically viable.

4.1.1. Groundwater Neutral Cropping Pattern

The current cropping pattern of winter wheat–summer maize is unsustainable. Therefore, other options like a monoculture of spring maize or adopting any alternative cropping pattern could be eco-friendly. The annual crop water requirement of spring maize would not be >350–551 mm [108]. The plots of three harvests in a two-year pattern of winter wheat, summer maize, and spring maize or one harvest in one year demonstrated significant potential to reduce water and N consumption, produce maximum grain yield, and maintain groundwater balance [38]. Meng et al. [22] studied various crop rotations in long-term field experiments from 2004 to 2010 and reported that although >70 mm of water can be saved by optimizing the irrigation schedule in a double cropping pattern as compared to the conventionally managed field, the annual groundwater utilization of 250 mm was still high, where >70% water was consumed only by the wheat crop. At the same time, the triple cropping pattern and monoculture saved 35–61% water with a minor decrease in wheat grain yield. These cropping patterns would decrease 94–190 mm of annual groundwater demand.
In addition, the 59–72% N rate can also be reduced by adapting alternative patterns against conventional double cropping patterns. Yang et al. [66] evaluated five cropping patterns in which many crop species were included. The results showed that WW-SM rotation had the highest evapotranspiration (ET) rate of 734 mm yr−1 compared to any other cropping pattern. Therefore, they observed a maximum groundwater decline of 1.1 m yr−1 and low WUE and a minimum groundwater decline of 0.4 m yr−1 with high WUE from sweet potato–cotton–sweet potato–winter wheat–summer maize in a 4-year cycle. Many other researchers also evaluated WW-SM in comparison with alternative cropping patterns and suggested optimizing cropping patterns. Recommendations include winter wheat–early maize–early maize–fallow [109], alfalfa–winter wheat [57], peanut–winter wheat–summer maize [39], winter wheat monoculture [110], sweet potato–cotton–sweet potato–winter wheat–summer maize [66], and sole summer maize [111]. Furthermore, Table 2 shows some recommendations with supporting comments for the development of groundwater water-neutral cropping patterns. However, replacing a double cropping system of winter wheat–summer maize with a new cropping system could cause grain production decline in the region.

4.1.2. Groundwater-Friendly Farming Practices

Many studies evaluated farming practices to better understand the impacts of field management on groundwater. Along with the change in the cropping pattern, different farming techniques should also be considered, such as root-zone watering, low N applications, and deficit irrigation [53], and limited water supply to the conventional WW-SM could reduce 15 to 35% water consumption by increasing 10 to 30% WUE [123]. Xu et al. [124] revealed that improved farming practices and technology have shown good results by reducing >60% of N and >50% of water loss by sloping croplands; together, 20% of crop productivity also improved. Still, there are several challenges for sustainable water and nitrogen use. A breakthrough is required in a series of agricultural technologies, including efficient crop production, mechanization, and standardization, which can help to achieve sustainable yield goals by protecting and restoring natural resources. This would all be possible through enhancing WUE and NUEs, which are associated with farming practices. Advance farming practices include the use of new drip, sprinkler, central pivoted, and subsurface irrigation technology, as well as the application of slow-release N and Nano fertilizers. Nowadays, easy-to-use remote sensors have also been invented for farmers’ use, so they can analyze CWR very quickly by themselves without going to laboratories and finding specialists, but such technology is not successfully transferred to the farmers.
Furthermore, there is a lack of awareness among the farmer community due to education factors. If farmers apply water via a drip and nitrogen after testing soil moisture and N concentration and follow the integrated agronomical strategy, then excessive use of water and N could be reduced in the region. For example, Meng et al. [22] saved 19% water and two times more NUE via soil testing than farmer practice in the WW-SM field and also obtained optimum grain yield. Sun et al. [122] achieved 5.4 kg ha−1 mm−1 greater WUE as compared to the conventionally managed field of WW-SM rotations. Similarly, Chen et al. [125] prevented 85.2% NO3 leaching through an analysis. There are several studies concerning farming practices; Yan et al. [126] conducted a field experiment on the maize crop from a plant density aspect and suggested 7.5 plants m−2 as optimum for enhanced crop N utilization. Li et al. [127] performed an experiment on irrigation methods and concluded that raining of irrigation (RI) to the crop via a sprinkler was the best practice compared to conventional border irrigation (BI). They also found that the RI system increased by 64.8% WUE. Yan et al. [126] suggested that wide precision planting enhanced both WUE and NUE. Hu et al. [128] recommended the use of slow-release coated urea for maximum N recovery.
These findings are pioneering and would significantly help to improve farming practices for groundwater sustainability. A list of recommendations is presented in Table 3 for developing groundwater-neutral farming practices and controlling NO3 transport in the groundwater.

4.2. Groundwater Recharge Option

Integrated use of options such as a change in the cropping system plus aquifer charge should be preferred to conserve natural resources because the shallow aquifer is already depleted, and the deep aquifer is under stress in the region. Artificial recharge of aquifers is a great technique for groundwater recovery and improving water availability. It can help to solve many problems associated with water scarcity, including low crop productivity issues, land subsidence, intrusion of seawater, particularly in the Tianjin coastal area, and ecosystem damage. The artificial recharge of groundwater is becoming a necessary measure over time because natural recharge is low in the region. For instance, Cao et al. [140] and Min et al. [141] conducted research on groundwater recharge in the NCP and found that the mean groundwater recharge was 130 and 200 mm yr−1 during the period between 1993 and 2008 and 1976 and 2013, respectively. In a recent study, Min et al. [142] reported the groundwater recharge rate as 92.80 mm yr−1 in the central plain areas. There is a significant difference in groundwater recharge from area to area in the region. Approximately 89 mm yr−1 of groundwater is recharged through rainfall contribution [143] and >40 mm yr−1 comes from irrigation [144]. Generally, natural groundwater recharge in the region is influenced by some biotic and abiotic factors, i.e., the vegetation type, precipitation, soil properties, especially texture, and amount of irrigation to the crop. Every year, the increase in the cultivated area increases the annual rate of ET and thus reduces recharge [134]. The magnitude of natural recharge depends on precipitation events. The recharge of <100 mm yr−1 and <200 mm yr−1 could be classified as rainfall representation of 18% and 30%, respectively. Scientifically, precipitation undergoes various evaporative effects before recharging the groundwater [140]. In this paper, groundwater recharge has been calculated from the surveyed publications with an average value of 121.96 mm yr−1 (Table 4). This recharge amount of water is insufficient, considering figures of groundwater obstruction in the region. Therefore, artificial groundwater should be considered. It has been estimated that >40 b m3 of water could be stored underground via artificial recharge [145]. After a deep search of the literature, we found that a few government projects are running for groundwater recharge, including the Chaobai river (spreading basin), Yongding river (trench + well injection), and Tanggu section (deep well injection). The first two schemes are being used to enhance groundwater storage. As a result, groundwater has risen to a satisfactory level, and the decline has slowed as compared to the historical background of selected areas. At present, the new South-to-North Water Transfer (SNWTP) project is being highly appreciated. It is called the “Silver bullet” and can restore the groundwater when it will be fully operational. This project has been designed to deliver 20 b m3 yr−1 to address the water shortage issue of the region [146]. This kind of government effort would be a key to recovering groundwater storage, but the government should also take some low-cost steps for local-level groundwater recharge methods, such as commonly rural peoples harvesting rainfall water in wells, ponds, ditches, and basins for crop production, which is greatly helping to restore and sustain the groundwater. Encouraging such human activities through technology and finance will provide better results in conserving groundwater reservoirs. The digging of ditches and small basins inside the crop land and on the wasteland could save an ample amount of water, which will serve as recharge sources after pumping. On the other hand, urban and industrial wastewater should be well utilized after primary or secondary treatment. It should be regarded as a valuable water resource for not only groundwater recharge but also for farming use since the amount of urban and industrial wastewater is very high. For example, the Hai river basin generates about 10,000 mm3 yr−1. The proper wastewater harvesting and recycling will also carry surface drainage waters, including rainfall, which will be additionally advantageous to solve the problems related to wastewater management. It would minimize the risk of pollution caused by the wastewater discharge. However, there are some institutional and technical constraints to effectively harvest wastewater and reuse it [114]. A better strategy and joint work of ministries such as Water and land and resources, Agriculture, Environmental protection, Housing, and Urban and rural development would be useful to overcome technical matters since the subject of groundwater management is widely fragmented among these ministries. Some literature showed that urban wastewater was utilized in a few severe water shortage areas for crops and groundwater recharge without adequate measures, which resulted in the deterioration of underground water through NO3 contamination [79].
Strategies such as rainwater harvesting and artificial recharge for groundwater show possibilities in mitigating groundwater depletion and deterioration [147]. Rainwater is collected and stored for a variety of uses, which is known as rainwater harvesting. This technique offers an alternative water source that can lessen the need for groundwater for household and agricultural requirements by collecting rainfall runoff from rooftops or other surfaces [148]. This is an economical and ecologically sustainable method that may be applied at many levels, ranging from individual dwellings to more extensive community-wide initiatives [147]. Intentionally accelerating the natural process of water penetration into the earth is known as artificial recharge of groundwater. Spreading grounds, injection wells, and recharge basins are involved in some of the techniques that can be used to accomplish this [149]. These methods successfully recharge aquifers and mitigate the detrimental consequences of excessive groundwater extraction by facilitating the percolation of water into the soil [150]. Groundwater quality is enhanced and groundwater levels are restored via both artificial recharge and rainfall harvesting. When rainwater percolates through the soil during artificial recharge, pollutants are naturally filtered away, and it is usually devoid of the toxins commonly present in surface water. Thus, these approaches provide a dual advantage by raising the amount of accessible groundwater and improving its overall quality [149,151].
Table 4. Groundwater water recharge reported by different researchers.
Table 4. Groundwater water recharge reported by different researchers.
RechargeAreaReferenceRechargeAreaReference
102.0 mm yr−1WR[65]177.0 mm yr−1Lacustrine plain sites[152]
65.00 mm yr−1WR[99]90.00 mm yr−1WR[144]
120.0 mm yr−1Central plain[140]108.0 mm yr−1Liaocheng city[153]
200.0 mm yr−1WR[141]85.80 mm yr−1Luancheng[154]
92.80 mm yr−1Central plain[142]168.0 mm yr−1Weishan district[155]
130.0 mm yr−1WR[156]126.8 mm yr−1Shijiazhuang[157]
188.0 mm yr−1Cangzhou[158]63.80 mm yr−1Tongzhou[159]
180.0 mm yr−1Piedmont plain[160]138.7 mm yr−1Hebei[161]
150.0 mm yr−1Taihang mountains[133]124.3 mm yr−1Hengshui[162]
134.0 mm yr−1Luancheng[163]175.0 mm yr−1Hebei[164]
Note: Hence, the average groundwater recharge value is calculated as 121.96 mm yr−1 from the surveyed publications. The WR indicates that the study reported on the whole region.

5. Conclusions and Future Perspective

In the current review, we found low average groundwater recharge, faster decline, and higher NO3 contamination via combined studies of local and regional level research papers. The conventional cropping system is a primary cause of ecosystem damage. The scenario could be severe in the future due to the rapid increase in the human population, which will demand more food and a safe water supply. Continuously declining groundwater reservoirs will result in water scarcity for both drinking and crop cultivation. Food production could be decreased due to water shortage. Information presented in this document would be useful for researchers when referencing the North China Plain in agriculture, hydrology, and environmental studies.
In the context of the above-mentioned facts, some valuable suggestions are provided below:
The government should take some steps to control excessive groundwater pumping and the application of nitrogen fertilizers.
Farmers would be facilitated with highly efficient irrigation and nitrogen application systems.
Control measures for NO3 leaching in the field should be well studied via large-scale research.
The groundwater recharge rate should be determined with the response to rainfall intensity throughout the region.
Artificial recharge options should be explored in every part of the region, the actual amount of water should be quantified, and safe utilization should be ensured via modern technology to minimize the risk of NO3 transport in the groundwater.

Author Contributions

Conceptualization, A.-L.H.; writing—review and editing, J.D., S.J.L. and Y.L.; data curation, G.-Y.L., H.-H.Y. and Z.-Y.G.; visualization, L.W. and Y.L.; supervision, Y.-C.W.; project administration, Y.-C.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the State Key Research and Development Program (No. 2021YFD1700900: Processes and Regulatory Mechanisms of Nitrogen Non-point Source Pollution in Intensive Agricultural Areas in Northern China).

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

We appreciate and thank the anonymous reviewers for their helpful comments that led to an overall improvement in the manuscript. We also thank the Journal Editor Board for their help and patience throughout the review process.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Ravindiran, G.; Rajamanickam, S.; Sivarethinamohan, S.; Karupaiya Sathaiah, B.; Ravindran, G.; Muniasamy, S.K.; Hayder, G. A Review of the Status, Effects, Prevention, and Remediation of Groundwater Contamination for Sustainable Environment. Water 2023, 15, 3662. [Google Scholar] [CrossRef]
  2. Abou-Shady, A.; Siddique, M.S.; Yu, W. A Critical Review of Innovations and Perspectives for Providing Adequate Water for Sustainable Irrigation. Water 2023, 15, 3023. [Google Scholar] [CrossRef]
  3. Reinecke, R.; Gnann, S.; Stein, L.; Bierkens, M.; de Graaf, I. Global Accessibility of Groundwater Remains Highly Uncertain. 2023. Available online: https://eartharxiv.org/repository/view/5003/ (accessed on 1 January 2024).
  4. Rodrigues do Nascimento, F. Global Environmental Change, Climate Crisis and Desertification. In Global Environmental Changes, Desertification and Sustainability; Springer: Cham, Switzerland, 2023; pp. 9–16. [Google Scholar] [CrossRef]
  5. Mishra, R. Fresh Water Availability and Its Global Challenge. Br. J. Multidiscip. Adv. Stud. 2023, 4, 1–78. [Google Scholar] [CrossRef]
  6. Alijanzadeh Maliji, B.; Babayeemehr, A.; Rohani, K.; Mehrabani, S.; Aghajanpour, F. Role of the World Health Organization in Management of Gastrointestinal Diseases Caused by Contaminated Water in Children in the Middle East: A Review Article. J. Pediatr. Rev. 2023, 11, 59–66. [Google Scholar] [CrossRef]
  7. Harmel, R.D.; Chaubey, I.; Ale, S.; Nejadhashemi, A.P.; Irmak, S.; Dejonge, K.C.; Evett, S.R.; Barnes, E.M.; Catley-Carlson, M.; Hunt, S.; et al. Perspectives on Global Water Security. Trans. ASABE 2023, 63, 69–80. [Google Scholar] [CrossRef]
  8. Sagar, R.; Chandrappa, U. Environmental Law and Sustainable Development: A Comparative Analysis. 2023. Available online: www.ssrn.com (accessed on 1 January 2024).
  9. Gaaloul, N. Groundwater Quality in Arid Environments. In Clean Water and Sanitation; Gaaloul, N., Eslamian, S., Eds.; Springer: Berlin/Heidelberg, Germany, 2022. [Google Scholar]
  10. Wang, J.; Yang, T.; Wang, G.; Liu, X.; Xu, N.; Stouthamer, E.; Yin, Y.; Wang, H.; Yan, X.; Huang, X. Control and Prevent Land Subsidence Caused by Foundation Pit Dewatering in a Coastal Lowland Megacity: Indicator Definition, Numerical Simulation, and Regression Analysis. Environ. Earth Sci. 2023, 82, 66. [Google Scholar] [CrossRef]
  11. Chen, H.; Wu, M.; Duan, Z.; Zha, Y.; Wang, S.; Yang, L.; Zou, L.; Zheng, M.; Chen, P.; Cao, W.; et al. Forecasting the Human and Climate Impacts on Groundwater Resources in the Irrigated Agricultural Region of North China Plain. Hydrol. Process 2023, 37, e14853. [Google Scholar] [CrossRef]
  12. Zhang, T.; Wang, P.; He, J.; Liu, D.; Wang, M.; Wang, M.; Xia, S. Hydrochemical Characteristics, Water Quality, and Evolution of Groundwater in Northeast China. Water 2023, 15, 2669. [Google Scholar] [CrossRef]
  13. Yuhong, F.; Yaci, L.; Yasong, L.; Xilin, B.; Pengwei, Z.; Yuhong, F.; Yaci, L.; Yasong, L.; Xilin, B.; Pengwei, Z. Prospect of Groundwater Pollution Remediation Methods and Technologies in China. Geol. China 2022, 49, 420–434. [Google Scholar] [CrossRef]
  14. Statista. Statista Account Overview. Available online: https://www.statista.com/accounts/pa (accessed on 11 January 2024).
  15. Huang, D.; Chen, Y.; Liu, T.; Liu, M. A GIS-Based Typological Interpretation of Cultivated Land Loss: A Spatiotemporal Analysis of Tai’an Prefecture in the North China Plain. Land 2023, 12, 372. [Google Scholar] [CrossRef]
  16. Kong, X.; Zhang, X.; Lal, R.; Zhang, F.; Chen, X.; Niu, Z.; Han, L.; Song, W. Groundwater Depletion by Agricultural Intensification in China’s HHH Plains, Since 1980s. In Advances in Agronomy; Academic Press Inc.: Cambridge, MA, USA, 2016; Volume 135, pp. 59–106. ISBN 9780128046937. [Google Scholar]
  17. Yue, Z.; Li, Z.; Yu, G.; Chen, Z.; Shi, P.; Qiao, Y.; Du, K.; Tian, C.; Zhao, F.H.; Leng, P.; et al. Climate Controls over Phenology and Amplitude of Net Ecosystem Productivity in a Wheat-Maize Rotation System in the North China Plain. Agric. For. Meteorol. 2023, 333, 109411. [Google Scholar] [CrossRef]
  18. Data Access Viewer. NASAClimate POWER. Available online: https://power.larc.nasa.gov/data-access-viewer/ (accessed on 24 December 2023).
  19. Mao, R.; Fitzpatrick, R.W.; Liu, X.; Davies, P.J. Chemical Properties of Selecte Soils from the North China Plain. ACIAR Monogr. Ser. 2015, 84, 173–186. [Google Scholar]
  20. Huang, T.; Ju, X.; Yang, H. Nitrate Leaching in a Winter Wheat-Summer Maize Rotation on a Calcareous Soil as Affected by Nitrogen and Straw Management. Sci. Rep. 2017, 7, 1–11. [Google Scholar] [CrossRef] [PubMed]
  21. National Bureau of Statistics of China. Available online: http://www.stats.gov.cn/english/ (accessed on 11 May 2021).
  22. Meng, Q.; Sun, Q.; Chen, X.; Cui, Z.; Yue, S.; Zhang, F.; Römheld, V. Alternative Cropping Systems for Sustainable Water and Nitrogen Use in the North China Plain. Agric. Ecosyst. Environ. 2012, 146, 93–102. [Google Scholar] [CrossRef]
  23. Xia, H.; Qiao, Y.; Li, X.; Xue, Y.; Wang, N.; Yan, W.; Xue, Y.; Cui, Z.; van der Werf, W. Moderation of Nitrogen Input and Integration of Legumes via Intercropping Enable Sustainable Intensification of Wheat-Maize Double Cropping in the North China Plain: A Four-Year Rotation Study. Agric. Syst. 2023, 204, 103540. [Google Scholar] [CrossRef]
  24. Fang, Q.; Yu, Q.; Wang, E.; Chen, Y.; Zhang, G.; Wang, J.; Li, L. Soil Nitrate Accumulation, Leaching and Crop Nitrogen Use as Influenced by Fertilization and Irrigation in an Intensive Wheat-Maize Double Cropping System in the North China Plain. Plant Soil. 2006, 284, 335–350. [Google Scholar] [CrossRef]
  25. Lu, D.; Lu, F.; Pan, J.; Cui, Z.; Zou, C.; Chen, X.; He, M.; Wang, Z. The Effects of Cultivar and Nitrogen Management on Wheat Yield and Nitrogen Use Efficiency in the North China Plain. Field Crops Res. 2015, 171, 157–164. [Google Scholar] [CrossRef]
  26. Zhong, H.; Liao, T.; Fang, G.; Ren, K.; Zhang, S. Exploring Optimal Joint Operating Rules for Large-Scale Inter-Basin Water Transfer Projects with Multiple Water Sources, Diversion Routes, and Water Demand Areas. J. Hydrol. Reg. Stud. 2023, 49, 101504. [Google Scholar] [CrossRef]
  27. Liu, B.; Wang, S.; Tian, L.; Sun, H.; Liu, X. Response of Soil Nitrate Accumulation and Leaching to Layered Soil Profiles in the Lowland Area of the North China Plain. J. Soil. Sci. Plant Nutr. 2023, 23, 1–11. [Google Scholar] [CrossRef]
  28. Wang, S.; Zheng, W.; Currell, M.; Yang, Y.; Zhao, H.; Lv, M. Relationship between Land-Use and Sources and Fate of Nitrate in Groundwater in a Typical Recharge Area of the North China Plain. Sci. Total Environ. 2017, 609, 607–620. [Google Scholar] [CrossRef]
  29. Ward, M.H.; Jones, R.R.; Brender, J.D.; de Kok, T.M.; Weyer, P.J.; Nolan, B.T.; Villanueva, C.M.; van Breda, S.G. Drinking Water Nitrate and Human Health: An Updated Review. Int. J. Environ. Res. Public. Health 2018, 15, 1557. [Google Scholar] [CrossRef]
  30. Wang, X.; Li, X.; Xin, L.; Tan, M.; Li, S.; Wang, R. Ecological Compensation for Winter Wheat Abandonment in Groundwater Over-Exploited Areas in the North China Plain. J. Geogr. Sci. 2016, 26, 1463–1476. [Google Scholar] [CrossRef]
  31. Zhang, Y.; Hou, D.; O’Connor, D.; Shen, Z.; Shi, P.; Ok, Y.S.; Tsang, D.C.W.; Wen, Y.; Luo, M. Lead Contamination in Chinese Surface Soils: Source Identification, Spatial-Temporal Distribution and Associated Health Risks. Crit. Rev. Environ. Sci. Technol. 2019, 49, 1386–1423. [Google Scholar] [CrossRef]
  32. Yang, X.; Wang, G.; Chen, Y.; Sui, P.; Pacenka, S.; Steenhuis, T.S.; Siddique, K.H.M. Reduced Groundwater Use and Increased Grain Production by Optimized Irrigation Scheduling in Winter Wheat–Summer Maize Double Cropping System—A 16-Year Field Study in North China Plain. Field Crops Res. 2022, 275, 108364. [Google Scholar] [CrossRef]
  33. Michalczyk, A.; Kersebaum, K.C.; Dauck, H.P.; Roelcke, M.; Yue, S.C.; Chen, X.P.; Zhang, F.S. Quantifying Nitrogen Loss and Water Use via Regionalization and Multiple-Year Scenario Simulations in the North China Plain. J. Plant Nutr. Soil Sci. 2020, 183, 718–733. [Google Scholar] [CrossRef]
  34. Wang, L.; Li, M. Review of Soil Dissolved Organic Nitrogen Cycling: Implication for Groundwater Nitrogen Contamination. J. Hazard. Mater. 2023, 5, 132713. [Google Scholar] [CrossRef] [PubMed]
  35. Kinzelbach, W.; Wang, H.; Li, Y.; Wang, L.; Li, N. Groundwater Overexploitation in the North China Plain: A Path to Sustainability; Springer: Berlin/Heidelberg, Germany, 2022. [Google Scholar]
  36. Xiao, D.; Tao, F. Contributions of Cultivars, Management and Climate Change to Winter Wheat Yield in the North China Plain in the Past Three Decades. Eur. J. Agron. 2014, 52, 112–122. [Google Scholar] [CrossRef]
  37. Luo, J.; Shen, Y.; Qi, Y.; Zhang, Y.; Xiao, D. Evaluating Water Conservation Effects Due to Cropping System Optimization on the Beijing-Tianjin-Hebei Plain, China. Agric. Syst. 2018, 159, 32–41. [Google Scholar] [CrossRef]
  38. Liang, H.; Qin, W.; Hu, K.; Tao, H.; Li, B. Modelling Groundwater Level Dynamics under Different Cropping Systems and Developing Groundwater Neutral Systems in the North China Plain. Agric. Water Manag. 2019, 213, 732–741. [Google Scholar] [CrossRef]
  39. Yang, X.L.; Chen, Y.Q.; Steenhuis, T.S.; Pacenka, S.; Gao, W.S.; Ma, L.; Zhang, M.; Sui, P. Mitigating Groundwater Depletion in North China Plain with Cropping System That Alternate Deep and Shallow Rooted Crops. Front. Plant Sci. 2017, 8, 980. [Google Scholar] [CrossRef]
  40. Yuan, Z.; Shen, Y. Estimation of Agricultural Water Consumption from Meteorological and Yield Data: A Case Study of Hebei, North China. PLoS ONE 2013, 8, e58685. [Google Scholar] [CrossRef]
  41. Iqbal, M.A.; Shen, Y.; Stricevic, R.; Pei, H.; Sun, H.; Amiri, E.; Penas, A.; del Rio, S. Evaluation of the FAO AquaCrop Model for Winter Wheat on the North China Plain under Deficit Irrigation from Field Experiment to Regional Yield Simulation. Agric. Water Manag. 2014, 135, 61–72. [Google Scholar] [CrossRef]
  42. Wei, L.; Jiang, S.; Ren, L.; Tan, H.; Ta, W.; Liu, Y.; Yang, X.; Zhang, L.; Duan, Z. Spatiotemporal Changes of Terrestrial Water Storage and Possible Causes in the Closed Qaidam Basin, China Using GRACE and GRACE Follow-On Data. J. Hydrol. 2021, 598, 126274. [Google Scholar] [CrossRef]
  43. Jiao, J.J.; Zhang, X.; Wang, X. Satellite-Based Estimates of Groundwater Depletion in the Badain Jaran Desert, China. Sci. Rep. 2015, 5, 8960. [Google Scholar] [CrossRef] [PubMed]
  44. Feng, W.; Zhong, M.; Lemoine, J.M.; Biancale, R.; Hsu, H.T.; Xia, J. Evaluation of Groundwater Depletion in North China Using the Gravity Recovery and Climate Experiment (GRACE) Data and Ground-Based Measurements. Water Resour. Res. 2013, 49, 2110–2118. [Google Scholar] [CrossRef]
  45. Yin, W.; Hu, L.; Jiao, J.J. Evaluation of Groundwater Storage Variations in Northern China Using GRACE Data. Geofluids 2017, 2017, 8254824. [Google Scholar] [CrossRef]
  46. Kumar Jha, S.; Ramatshaba, T.S.; Wang, G.; Liang, Y.; Liu, H.; Gao, Y.; Duan, A. Response of Growth, Yield and Water Use Efficiency of Winter Wheat to Different Irrigation Methods and Scheduling in North China Plain. Agric. Water Manag. 2019, 217, 292–302. [Google Scholar] [CrossRef]
  47. Lin, M.; Biswas, A.; Bennett, E.M. Identifying Hotspots and Representative Monitoring Area of Groundwater Changes with Time Stability Analysis. Sci. Total Environ. 2019, 667, 419–426. [Google Scholar] [CrossRef]
  48. Yang, X.; Chen, Y.; Pacenka, S.; Gao, W.; Zhang, M.; Sui, P.; Steenhuis, T.S. Recharge and Groundwater Use in the North China Plain for Six Irrigated Crops for an Eleven Year Period. PLoS ONE 2015, 10, e0115269. [Google Scholar] [CrossRef]
  49. Watts Chinese Farms Cause More Pollution than Factories, Says Official Survey|Farming|The Guardian. Available online: https://www.theguardian.com/environment/2010/feb/09/china-farms-pollution (accessed on 11 May 2021).
  50. Wang, L.; Leghari, S.J.; Wu, J.; Wang, N.; Pang, M.; Jin, L. Interactive Effects of Biochar and Chemical Fertilizer on Water and Nitrogen Dynamics, Soil Properties and Maize Yield under Different Irrigation Methods. Front. Plant Sci. 2023, 14, 1230023. [Google Scholar] [CrossRef]
  51. Du, L.; Xu, C.C.; Wu, Y.; Wang, M.; Chen, F. Water Degradation Footprint of Crop Production in Hebei Province. J. Agro-Environ. Sci. 2018, 37, 286–293. [Google Scholar] [CrossRef]
  52. Liu, Z.; Bai, Y.; Gao, J.; Li, J. Driving Factors on Accumulation of Cadmium, Lead, Copper, Zinc in Agricultural Soil and Products of the North China Plain. Sci. Rep. 2023, 13, 7429. [Google Scholar] [CrossRef]
  53. Leghari, S.J.; Wahocho, N.A.; Laghari, G.M.; HafeezLaghari, A.; MustafaBhabhan, G.; HussainTalpur, K.; Bhutto, T.A.; Wahocho, S.A.; Lashari, A.A. Role of Nitrogen for Plant Growth and Development: A Review. Adv. Environ. Biol. 2016, 10, 209–219. [Google Scholar]
  54. Khan, M.N.; Mobin, M.; Abbas, Z.K.; Alamri, S.A. Fertilizers and Their Contaminants in Soils, Surface and Groundwater; Elsevier Inc.: Amsterdam, The Netherlands, 2017; Volume 1–5, ISBN 9780128096659. [Google Scholar]
  55. Ju, X.T.; Xing, G.X.; Chen, X.P.; Zhang, S.L.; Zhang, L.J.; Liu, X.J.; Cui, Z.L.; Yin, B.; Christie, P.; Zhu, Z.L.; et al. Reducing Environmental Risk by Improving N Management in Intensive Chinese Agricultural Systems. Proc. Natl. Acad. Sci. USA 2009, 106, 3041–3046. [Google Scholar] [CrossRef] [PubMed]
  56. Cao, B.; Fa-Yun, H.; Xu, Q.M.; Bin, Y.; Cai, G.X. Denitrification Losses and N2O Emissions from Nitrogen Fertilizer Applied to a Vegetable Field. Pedosphere 2006, 16, 390–397. [Google Scholar] [CrossRef]
  57. Wang, D.; Zheng, L.; Gu, S.; Shi, Y.; Liang, L.; Meng, F.; Guo, Y.; Ju, X.; Wu, W. Soil Nitrate Accumulation and Leaching in Conventional, Optimized and Organic Cropping Systems. Plant Soil. Environ. 2018, 64, 156–163. [Google Scholar] [CrossRef]
  58. Yao, Z.; Yan, G.; Zheng, X.; Wang, R.; Liu, C.; Butterbach-Bahl, K. Straw Return Reduces Yield-Scaled N2O plus NO Emissions from Annual Winter Wheat-Based Cropping Systems in the North China Plain. Sci. Total Environ. 2017, 590–591, 174–185. [Google Scholar] [CrossRef]
  59. Li, Z.; Hu, K.; Li, B.; He, M.; Zhang, J. Evaluation of Water and Nitrogen Use Efficiencies in a Double Cropping System under Different Integrated Management Practices Based on a Model Approach. Agric. Water Manag. 2015, 159, 19–34. [Google Scholar] [CrossRef]
  60. Zhang, X.; Ren, L.; Wan, L. Assessing the Trade-off between Shallow Groundwater Conservation and Crop Production under Limited Exploitation in a Well-Irrigated Plain of the Haihe River Basin Using the SWAT Model. J. Hydrol. 2018, 567, 253–266. [Google Scholar] [CrossRef]
  61. Liu, X.; Ju, X.; Zhang, Y.; He, C.; Kopsch, J.; Fusuo, Z. Nitrogen Deposition in Agroecosystems in the Beijing Area. Agric. Ecosyst. Environ. 2006, 113, 370–377. [Google Scholar] [CrossRef]
  62. Schroder, J.L.; Zhang, H.; Girma, K.; Raun, W.R.; Penn, C.J.; Payton, M.E. Soil Acidification from Long-Term Use of Nitrogen Fertilizers on Winter Wheat. Soil Sci. Soc. Am. J. 2011, 75, 957–964. [Google Scholar] [CrossRef]
  63. Tan, X.C.; Wu, J.W.; Cai, S.Y.; Yang, J.Z. Characteristics of Groundwater Recharge on the North China Plain. Groundwater 2014, 52, 798–807. [Google Scholar] [CrossRef] [PubMed]
  64. Yang, X.; Chen, Y.; Pacenka, S.; Gao, W.; Ma, L.; Wang, G.; Yan, P.; Sui, P.; Steenhuis, T.S. Effect of Diversified Crop Rotations on Groundwater Levels and Crop Water Productivity in the North China Plain. J. Hydrol. 2015, 522, 428–438. [Google Scholar] [CrossRef]
  65. Gong, H.; Pan, Y.; Zheng, L.; Li, X.; Zhu, L.; Zhang, C.; Huang, Z.; Li, Z.; Wang, H.; Zhou, C. Long-Term Groundwater Storage Changes and Land Subsidence Development in the North China Plain (1971–2015). Hydrogeol. J. 2018, 26, 1417–1427. [Google Scholar] [CrossRef]
  66. Xu, X.; Zhang, Y.; Li, J.; Zhang, M.; Zhou, X.; Zhou, S.; Wang, Z. Optimizing Single Irrigation Scheme to Improve Water Use Efficiency by Manipulating Winter Wheat Sink-Source Relationships in Northern China Plain. PLoS ONE 2018, 13, e0193895. [Google Scholar] [CrossRef] [PubMed]
  67. Hao, H.; Liu, H.; Zhang, X.; Wei, J.; Zhao, B. Geodesy and Geodynamics Terrestrial Water Storage Variation in Hebei Plain Area of China, Based on Ground Surface Gravimetry. Geod. Geodyn. 2021, 12, 190–196. [Google Scholar] [CrossRef]
  68. Zhou, Y.; Li, P.; Chen, M.; Dong, Z.; Lu, C. Groundwater Quality for Potable and Irrigation Uses and Associated Health Risk in Southern Part of Gu’an County, North China Plain. Environ. Geochem. Health 2021, 43, 813–835. [Google Scholar] [CrossRef]
  69. Gao, F.; Wang, H.; Liu, C. Long-Term Assessment of Groundwater Resources Carrying Capacity Using GRACE Data and Budyko Model. J. Hydrol. 2020, 588, 125042. [Google Scholar] [CrossRef]
  70. Zhang, Q.; Wang, H. Assessment of Sources and Transformation of Nitrate in the Alluvial-Pluvial Fan Region of North China Using a Multi-Isotope Approach. J. Environ. Sci. 2020, 89, 9–22. [Google Scholar] [CrossRef]
  71. Yang, X.L.; Chen, Y.Q.; Pacenka, S.; Steenhuis, T.S.; Sui, P. Managing Food and Bioenergy Crops with Declining Groundwater Levels in the North China Plain. Field Crops Res. 2019, 234, 1–14. [Google Scholar] [CrossRef]
  72. Zhu, Y.; Jin, X.; Tang, W.; Meng, X.; Shan, B. Comprehensive Analysis of Nitrogen Distributions and Ammonia Nitrogen Release Fluxes in the Sediments of Baiyangdian Lake, China. J. Environ. Sci. 2019, 76, 319–328. [Google Scholar] [CrossRef] [PubMed]
  73. Lyu, S.; Chen, W.; Wen, X.; Chang, A.C. Integration of HYDRUS-1D and MODFLOW for Evaluating the Dynamics of Salts and Nitrogen in Groundwater under Long-Term Reclaimed Water Irrigation. Irrig. Sci. 2019, 37, 35–47. [Google Scholar] [CrossRef]
  74. Sun, H.; Zhang, X.; Liu, X.; Liu, X.; Shao, L.; Chen, S.; Wang, J.; Dong, X. Impact of Different Cropping Systems and Irrigation Schedules on Evapotranspiration, Grain Yield and Groundwater Level in the North China Plain. Agric. Water Manag. 2019, 211, 202–209. [Google Scholar] [CrossRef]
  75. Peters, M.; Guo, Q.; Strauss, H.; Wei, R.; Li, S.; Yue, F. Contamination Patterns in River Water from Rural Beijing: A Hydrochemical and Multiple Stable Isotope Study. Sci. Total Environ. 2019, 654, 226–236. [Google Scholar] [CrossRef] [PubMed]
  76. Zhang, Q.; Wang, H.; Wang, L. Tracing Nitrate Pollution Sources and Transformations in the Over-Exploited Groundwater Region of North China Using Stable Isotopes. J. Contam. Hydrol. 2018, 218, 1–9. [Google Scholar] [CrossRef]
  77. Qiu, G.Y.; Zhang, X.; Yu, X.; Zou, Z. The Increasing Effects in Energy and GHG Emission Caused by Groundwater Level Declines in North China’s Main Food Production Plain. Agric. Water Manag. 2018, 203, 138–150. [Google Scholar] [CrossRef]
  78. Li, P.; Zhang, C.; Zhong, H.; Zhao, T. The Nitrate Nitrogen in Groundwater of Intensive Agricultural Region in Pinggu District by Sampling and Monitoring for 12 Years. IOP Conf. Ser. Mater. Sci. Eng. 2018, 452, 022164. [Google Scholar] [CrossRef]
  79. van Oort, P.A.J.; Wang, G.; Vos, J.; Meinke, H.; Li, B.G.; Huang, J.K.; van der Werf, W. Towards Groundwater Neutral Cropping Systems in the Alluvial Fans of the North China Plain. Agric. Water Manag. 2016, 165, 131–140. [Google Scholar] [CrossRef]
  80. Liu, J.; Jiang, L.H.; Zhang, C.J.; Li, P.; Zhao, T.K. Nitrate-Nitrogen Contamination in Groundwater: Spatiotemporal Variation and Driving Factors under Cropland in Shandong Province, China. In Proceedings of the IOP Conference Series: Earth and Environmental Science, Qingdao, China, 26–29 June 2017; Volume 82, p. 12059. [Google Scholar]
  81. Sun, H.; Zhang, X.; Wang, E.; Chen, S.; Shao, L. Quantifying the Impact of Irrigation on Groundwater Reserve and Crop Production—A Case Study in the North China Plain. Eur. J. Agron. 2015, 70, 48–56. [Google Scholar] [CrossRef]
  82. Zhang, Y.; Chen, Z.; Sun, J.; Wang, J. Natural Background Levels of Chemical Components in Groundwater of Hutuo River Catchment Area, North China Plain. Environ. Forensics 2017, 18, 62–73. [Google Scholar] [CrossRef]
  83. Zhang, G.; Fei, Y.; Liu, C.; Feng, H.; Yan, M.; Wang, J. Relationship between Decline of Shallow Groundwater Levels and Irrigated Agriculture on Hufu Plain of North China. Adv. Water Sci. 2013, 24, 228–234. [Google Scholar]
  84. Brauns, B.; Bjerg, P.L.; Song, X.; Jakobsen, R. Field Scale Interaction and Nutrient Exchange between Surface Water and Shallow Groundwater in the Baiyang Lake Region, North China Plain. J. Environ. Sci. 2015, 45, 60–75. [Google Scholar] [CrossRef] [PubMed]
  85. Huang, T.; Pang, Z. Groundwater Recharge and Dynamics in Northern China: Implications for Sustainable Utilization of Groundwater. Procedia Earth Planet. Sci. 2013, 7, 369–372. [Google Scholar] [CrossRef]
  86. Chen, C.; Wang, E.; Yu, Q. Modelling the Effects of Climate Variability and Water Management on Crop Water Productivity and Water Balance in the North China Plain. Agric. Water Manag. 2010, 97, 1175–1184. [Google Scholar] [CrossRef]
  87. Dong, S.; Liu, B.; Liu, H.; Wang, S.; Wang, L. Impacts of Groundwater Recharge from Rubber Dams on the Hydrogeological Environment in Luoyang Basin, China. Sci. World J. 2014, 2014, 183457. [Google Scholar] [CrossRef] [PubMed]
  88. Zhang, Y.; Li, F.; Zhang, Q.; Li, J.; Liu, Q. Tracing Nitrate Pollution Sources and Transformation in Surface- and Ground-Waters Using Environmental Isotopes. Sci. Total Environ. 2014, 490, 213–222. [Google Scholar] [CrossRef] [PubMed]
  89. Yang, Y.; Watanabe, M.; Zhang, X.; Zhang, J.; Wang, Q.; Hayashi, S. Optimizing Irrigation Management for Wheat to Reduce Groundwater Depletion in the Piedmont Region of the Taihang Mountains in the North China Plain. Agric. Water Manag. 2006, 82, 25–44. [Google Scholar] [CrossRef]
  90. Gu, B.; Ge, Y.; Chang, S.X.; Luo, W.; Chang, J. Nitrate in Groundwater of China: Sources and Driving Forces. Glob. Environ. Change 2013, 23, 1112–1121. [Google Scholar] [CrossRef]
  91. Xu, Y.; Mo, X.; Cai, Y.; Li, X. Analysis on Groundwater Table Drawdown by Land Use and the Quest for Sustainable Water Use in the Hebei Plain in China. Agric. Water Manag. 2005, 75, 38–53. [Google Scholar] [CrossRef]
  92. Huang, T.; Pang, Z.; Yuan, L. Nitrate in Groundwater and the Unsaturated Zone in (Semi)Arid Northern China: Baseline and Factors Controlling Its Transport and Fate. Environ. Earth Sci. 2013, 70, 145–156. [Google Scholar] [CrossRef]
  93. Hu, C.; Delgado, J.A.; Zhang, X.; Ma, L. Assessment of Groundwater Use by Wheat (Triticum aestivum L.) in the Luancheng Xian Region and Potential Implications for Water Conservation in the Northwestern North China Plain. J. Soil. Water Conserv. 2005, 60, 80–88. [Google Scholar]
  94. Geng, N.; Zhang, G.Y.; Ru, S.H.; Sun, S.Y.; Wang, L.; Chen, G.J. Study on the Content and Influencing Factors of Groundwater Nitrate Nitrogen in Hebei Province. In Proceedings of the 2012 International Conference on Biomedical Engineering and Biotechnology, iCBEB 2012, Macau, Macao, 28–30 May 2012; pp. 1745–1749. [Google Scholar]
  95. Xu, Y.Q.; Cai, Y.L. GIS-Based Analysis on Spatio-Temporal Change of Groundwater Level in the Hebei Plain. Acta Scicentiarum Nat. Univ. Pekinesis 2005, 41, 265–272. [Google Scholar]
  96. Du, L.F.; Zhao, T.K.; Zhang, C.J.; An, Z.Z.; Qiong , W.U.; Liu, B.C.; Peng, L.I. Investigations on Nitrate Pollution of Soil, Groundwater and Vegetable from Three Typical Farmlands in Beijing Region, China. Agric. Sci. China 2011, 10, 423–430. [Google Scholar] [CrossRef]
  97. Zhang, X.; Pei, D.; Hu, C. Conserving Groundwater for Irrigation in the North China Plain. Irrig. Sci. 2003, 21, 159–166. [Google Scholar] [CrossRef]
  98. Wang, M.X.; Liu, G.D.; Wu, W.L.; Bao, Y.H.; Liu, W.N. Prediction of Agriculture Derived Groundwater Nitrate Distribution in North China Plain with GIS-Based BPNN. Environ. Geol. 2006, 50, 637–644. [Google Scholar] [CrossRef]
  99. Jin-sheng, J.; Jing-jie, Y.; Chang-ming, L. Groundwater Regime and Calculation of Yield Response in North China Plain: A Case Study of Luancheng County in Hebei Province. J. Geogr. Sci. 2002, 12, 217–225. [Google Scholar] [CrossRef]
  100. Hu, K.; Huang, Y.; Li, H.; Li, B.; Chen, D.; White, R.E. Spatial Variability of Shallow Groundwater Level, Electrical Conductivity and Nitrate Concentration, and Risk Assessment of Nitrate Contamination in North China Plain. Environ. Int. 2005, 31, 896–903. [Google Scholar] [CrossRef] [PubMed]
  101. Zhen, L.; Routray, J.K. Groundwater Resource Use Practices and Implications for Sustainable Agricultural Development in the North China Plain: A Case Study in Ningjin County of Shandong Province, PR China. Int. J. Water Resour. Dev. 2002, 18, 581–593. [Google Scholar] [CrossRef]
  102. Chang, S.; Li-Wu, L. Training Effects of Different Approaching Steps on Overarm Throwing Performance for Boys Aged 7–12 Years. Sports Exerc. Res. 2010, 12, 191–209. [Google Scholar] [CrossRef]
  103. Changming, L.; Jingjie, Y.; Kendy, E. Groundwater Exploitation and Its Impact on the Environment in the North China Plain. Water Int. 2001, 26, 265–272. [Google Scholar] [CrossRef]
  104. Chen, J.; Tang, C.; Sakura, Y.; Yu, J.; Fukushima, Y. Nitrate Pollution from Agriculture in Different Hydrogeological Zones of the Regional Groundwater Flow System in the North China Plain. Hydrogeol. J. 2005, 13, 481–492. [Google Scholar] [CrossRef]
  105. Liu, B.; Wang, S.; Kong, X.; Liu, X.; Sun, H. Modeling and Assessing Feasibility of Long-Term Brackish Water Irrigation in Vertically Homogeneous and Heterogeneous Cultivated Lowland in the North China Plain. Agric. Water Manag. 2019, 211, 98–110. [Google Scholar] [CrossRef]
  106. Foster, S.; Garduno, H.; Evans, R.; Olson, D.; Tian, Y.; Zhang, W.; Han, Z. Quaternary Aquifer of the North China Plain—Assessing and Achieving Groundwater Resource Sustainability. Hydrogeol. J. 2004, 12, 81–93. [Google Scholar] [CrossRef]
  107. Xiao, G.; Zhao, Z.; Liang, L.; Meng, F.; Wu, W.; Guo, Y. Improving Nitrogen and Water Use Efficiency in a Wheat-Maize Rotation System in the North China Plain Using Optimized Farming Practices. Agric. Water Manag. 2019, 212, 172–180. [Google Scholar] [CrossRef]
  108. Gao, B.; Ju, X.; Meng, Q.; Cui, Z.; Christie, P.; Chen, X.; Zhang, F. The Impact of Alternative Cropping Systems on Global Warming Potential, Grain Yield and Groundwater Use. Agric. Ecosyst. Environ. 2015, 203, 46–54. [Google Scholar] [CrossRef]
  109. Zhong, H.; Sun, L.; Fischer, G.; Tian, Z.; Liang, Z. Optimizing Regional Cropping Systems with a Dynamic Adaptation Strategy for Water Sustainable Agriculture in the Hebei Plain. Agric. Syst. 2019, 173, 94–106. [Google Scholar] [CrossRef]
  110. Zhang, X.Q.; Pu, C.; Zhao, X.; Xue, J.F.; Zhang, R.; Nie, Z.J.; Chen, F.; Lal, R.; Zhang, H.L. Tillage Effects on Carbon Footprint and Ecosystem Services of Climate Regulation in a Winter Wheat-Summer Maize Cropping System of the North China Plain. Ecol. Indic. 2016, 67, 821–829. [Google Scholar] [CrossRef]
  111. Holst, J.; Liu, W.; Zhang, Q.; Doluschitz, R. Crop Evapotranspiration, Arable Cropping Systems and Water Sustainability in Southern Hebei, P.R. China. Agric. Water Manag. 2014, 141, 47–54. [Google Scholar] [CrossRef]
  112. Zhao, Y.; Xiao, D.; Qi, Y.; Bai, H. Crop Yield and Water Consumption of Different Cropping Patterns under Different Precipitation Years in North China Plain. Trans. Chin. Soc. Agric. Eng. 2018, 34, 108–116. [Google Scholar] [CrossRef]
  113. Xiao, D.; Shen, Y.; Qi, Y.; Moiwo, J.P.; Min, L.; Zhang, Y.; Guo, Y.; Pei, H. Impact of Alternative Cropping Systems on Groundwater Use and Grain Yields in the North China Plain Region. Agric. Syst. 2017, 153, 109–117. [Google Scholar] [CrossRef]
  114. Xiao, D.; Liu, D.L.; Feng, P.; Wang, B.; Waters, C.; Shen, Y.; Qi, Y.; Bai, H.; Tang, J. Future Climate Change Impacts on Grain Yield and Groundwater Use under Different Cropping Systems in the North China Plain. Agric. Water Manag. 2021, 246, 106685. [Google Scholar] [CrossRef]
  115. Zhao, J.; Zhang, X.; Yang, Y.; Zang, H.; Yan, P.; Meki, M.N.; Doro, L.; Sui, P.; Jeong, J.; Zeng, Z. Alternative Cropping Systems for Groundwater Irrigation Sustainability in the North China Plain. Agric. Water Manag. 2021, 250, 106867. [Google Scholar] [CrossRef]
  116. Zhang, H.; Hu, K.; Zhang, L.; Ji, Y.; Qin, W. Exploring Optimal Catch Crops for Reducing Nitrate Leaching in Vegetable Greenhouse in North China. Agric. Water Manag. 2019, 212, 273–282. [Google Scholar] [CrossRef]
  117. Zhang, Y.T.; Jian, L.I.U.; Wang, H.Y.; Lei, Q.L.; Liu, H.B.; Zhai, L.M.; Zhang, J.Z. Suitability of the DNDC Model to Simulate Yield Production and Nitrogen Uptake for Maize and Soybean Intercropping in the North China Plain. J. Integr. Agric. 2018, 17, 2790–2801. [Google Scholar] [CrossRef]
  118. Tang, C.C.; Yang, X.L.; Xie, G.H. Establishing Sustainable Sweet Sorghum-Based Cropping Systems for Forage and Bioenergy Feedstock in North China Plain. Field Crops Res. 2018, 227, 144–154. [Google Scholar] [CrossRef]
  119. Meng, Q.; Wang, H.; Yan, P.; Pan, J.; Lu, D.; Cui, Z.; Zhang, F.; Chen, X. Designing a New Cropping System for High Productivity and Sustainable Water Usage under Climate Change. Sci. Rep. 2017, 7, 1–12. [Google Scholar] [CrossRef]
  120. Zhong, H.; Sun, L.; Fischer, G.; Tian, Z.; van Velthuizen, H.; Liang, Z. Mission Impossible? Maintaining Regional Grain Production Level and Recovering Local Groundwater Table by Cropping System Adaptation across the North China Plain. Agric. Water Manag. 2017, 193, 1–12. [Google Scholar] [CrossRef]
  121. Huang, C.; Liu, Q.; Heerink, N.; Stomph, T.; Li, B.; Liu, R.; Zhang, H.; Wang, C.; Li, X.; Zhang, C.; et al. Economic Performance and Sustainability of a Novel Intercropping System on the North China Plain. PLoS ONE 2015, 10, e0135518. [Google Scholar] [CrossRef]
  122. Sun, Q.; Kröbel, R.; Müller, T.; Römheld, V.; Cui, Z.; Zhang, F.; Chen, X. Optimization of Yield and Water-Use of Different Cropping Systems for Sustainable Groundwater Use in North China Plain. Agric. Water Manag. 2011, 98, 808–814. [Google Scholar] [CrossRef]
  123. Beavis, S.G.; Wong, V.N.L.; Mosley, L.M.; Baldwin, D.S.; Latimer, J.O.; Lane, P.; Lal, A. Water Quality Risks in the Murray-Darling Basin. Australas. J. Water Resour. 2023, 27, 85–102. [Google Scholar] [CrossRef]
  124. Xu, Y.; Li, J.; Wan, J. Agriculture and Crop Science in China: Innovation and Sustainability. Crop J. 2017, 5, 95–99. [Google Scholar] [CrossRef]
  125. Chen, S.; Sun, C.; Wu, W.; Sun, C. Water Leakage and Nitrate Leaching Characteristics in the Winter Wheat-Summer Maize Rotation System in the North China Plain under Different Irrigation and Fertilization Management Practices. Water 2017, 9, 141. [Google Scholar] [CrossRef]
  126. Yan, P.; Pan, J.; Zhang, W.; Shi, J.; Chen, X.; Cui, Z. A High Plant Density Reduces the Ability of Maize to Use Soil Nitrogen. PLoS ONE 2017, 12, e0172717. [Google Scholar] [CrossRef] [PubMed]
  127. Li, J.; Xu, X.; Lin, G.; Wang, Y.; Liu, Y.; Zhang, M.; Zhou, J.; Wang, Z.; Zhang, Y. Micro-Irrigation Improves Grain Yield and Resource Use Efficiency by Co-Locating the Roots and N-Fertilizer Distribution of Winter Wheat in the North China Plain. Sci. Total Environ. 2018, 643, 367–377. [Google Scholar] [CrossRef] [PubMed]
  128. Hu, H.; Ning, T.; Li, Z.; Han, H.; Zhang, Z.; Qin, S.; Zheng, Y. Coupling Effects of Urea Types and Subsoiling on Nitrogen-Water Use and Yield of Different Varieties of Maize in Northern China. Field Crops Res. 2013, 142, 85–94. [Google Scholar] [CrossRef]
  129. Yin, B.; Hu, Z.; Wang, Y.; Zhao, J.; Pan, Z.; Zhen, W. Effects of Optimized Subsoiling Tillage on Field Water Conservation and Summer Maize (Zea mays L.) Yield in the North China Plain. Agric. Water Manag. 2021, 247, 106732. [Google Scholar] [CrossRef]
  130. Hou, X.; Wang, S.; Jin, X.; Li, M.; Lv, M.; Feng, W. Using an Etwatch (Rs)-Uzf-Modflow Coupled Model to Optimize Joint Use of Transferred Water and Local Water Sources in a Saline Water Area of the North China Plain. Water 2020, 12, 3361. [Google Scholar] [CrossRef]
  131. Ali, S.; Xu, Y.; Ma, X.; Ahmad, I.; Manzoor; Jia, Q.; Akmal, M.; Hussain, Z.; Arif, M.; Cai, T.; et al. Deficit Irrigation Strategies to Improve Winter Wheat Productivity and Regulating Root Growth under Different Planting Patterns. Agric. Water Manag. 2019, 219, 1–11. [Google Scholar] [CrossRef]
  132. Li, P.; Ren, L. Evaluating the Effects of Limited Irrigation on Crop Water Productivity and Reducing Deep Groundwater Exploitation in the North China Plain Using an Agro-Hydrological Model: I. Parameter Sensitivity Analysis, Calibration and Model Validation. J. Hydrol. 2019, 574, 497–516. [Google Scholar] [CrossRef]
  133. Zhang, Y.; Wang, H.; Lei, Q.; Luo, J.; Lindsey, S.; Zhang, J.; Zhai, L.; Wu, S.; Zhang, J.; Liu, X.; et al. Optimizing the Nitrogen Application Rate for Maize and Wheat Based on Yield and Environment on the Northern China Plain. Sci. Total Environ. 2018, 618, 1173–1183. [Google Scholar] [CrossRef]
  134. Zheng, W.; Wang, S.; Sprenger, M.; Liu, B.; Cao, J. Response of Soil Water Movement and Groundwater Recharge to Extreme Precipitation in a Headwater Catchment in the North China Plain. J. Hydrol. 2019, 576, 466–477. [Google Scholar] [CrossRef]
  135. Zhang, Y.; Wang, J.; Gong, S.; Xu, D.; Sui, J. Nitrogen Fertigation Effect on Photosynthesis, Grain Yield and Water Use Efficiency of Winter Wheat. Agric. Water Manag. 2017, 179, 277–287. [Google Scholar] [CrossRef]
  136. Huang, M.; Liang, T.; Wang, L.; Zhou, C. No-Tillage and Fertilization Management on Crop Yields and Nitrate Leaching in North China Plain. Ecol. Evol. 2015, 5, 1143–1155. [Google Scholar] [CrossRef]
  137. Jin, H.; Qingjie, W.; Hongwen, L.; Lijin, L.; Huanwen, G. Effect of Alternative Tillage and Residue Cover on Yield and Water Use Efficiency in Annual Double Cropping System in North China Plain. Soil. Tillage Res. 2009, 104, 198–205. [Google Scholar] [CrossRef]
  138. Sun, H.; Zhang, X.; Chen, S.; Pei, D.; Liu, C. Effects of Harvest and Sowing Time on the Performance of the Rotation of Winter Wheat-Summer Maize in the North China Plain. Ind. Crops Prod. 2007, 25, 239–247. [Google Scholar] [CrossRef]
  139. Zhang, X.; Chen, S.; Liu, M.; Pei, D.; Sun, H. Improved Water Use Efficiency Associated with Cultivars and Agronomic Management in the North China Plain. Agron. J. 2005, 97, 783–790. [Google Scholar] [CrossRef]
  140. Cao, G.; Scanlon, B.R.; Han, D.; Zheng, C. Impacts of Thickening Unsaturated Zone on Groundwater Recharge in the North China Plain. J. Hydrol. 2016, 537, 260–270. [Google Scholar] [CrossRef]
  141. Min, L.; Shen, Y.; Pei, H. Estimating Groundwater Recharge Using Deep Vadose Zone Data under Typical Irrigated Cropland in the Piedmont Region of the North China Plain. J. Hydrol. 2015, 527, 305–315. [Google Scholar] [CrossRef]
  142. Min, L.; Qi, Y.; Shen, Y.; Wang, P.; Wang, S.; Liu, M. Groundwater Recharge under Irrigated Agro-Ecosystems in the North China Plain: From a Critical Zone Perspective. J. Geogr. Sci. 2019, 29, 877–890. [Google Scholar] [CrossRef]
  143. Liu, J.; Chen, Z.Y.; Zhang, Z.J.; Fei, Y.; Zhang, F.; Chen, J.; Wang, Z. Estimation of Natural Groundwater Recharge in the Hutuo River Alluvial-Proluvial Fan Using Environmental Tracers. Geol. Sci. Technol. Inf. 2009, 28, 114–118. [Google Scholar]
  144. Wang, W.; Zhao, J.; Duan, L. Simulation of Irrigation-Induced Groundwater Recharge in an Arid Area of China. Hydrol. J. 2021, 29, 525–540. [Google Scholar] [CrossRef]
  145. Jin, F. Groundwater Resources in the North China Plain. Environ. Geol. Water Sci. 1988, 12, 63–67. [Google Scholar] [CrossRef]
  146. Andersen, L.S. Groundwater Resource Sustainable Utilization Planning in Beijing. In Proceedings of the Presentation by Liao Pingan, Director of International Relations, Beijing Water Authority, at Groundwater Roundtable, Royal Danish Embassy, Beijing, China, 29 March 2012; pp. 3–20. [Google Scholar]
  147. Noori, A.R.; Singh, S.K. Rainfall Assessment and Water Harvesting Potential in an Urban Area for Artificial Groundwater Recharge with Land Use and Land Cover Approach. Water Resour. Manag. 2023, 37, 5215–5234. [Google Scholar] [CrossRef]
  148. Vaddadi, N.; Vansarochana, C. Investigation on Aquifer Recharge Potential of Rainwater Harvesting Using Geoinformatics Approach: Case Study of Pune City. Doctoral Dissertation, Naresuan University, Pune, India, 2023. [Google Scholar]
  149. Singh, K.; Kumar, R.; Pandit, B.A. Conservation and Management by Artificial Recharge of Aquifer. Adv. Water Manag. Under Clim. Change 2023, 319, 312–339. [Google Scholar]
  150. Kim, G.B.; Hwang, C.I.; Choi, M.R. Assessment of the Need and Potential for Groundwater Artificial Recharge Based on the Water Supply, Water Demand, and Aquifer Properties in a Water Shortage Region of South Korea. Environ. Earth Sci. 2021, 80, 1–15. [Google Scholar] [CrossRef]
  151. Li, N.; Lyu, H.; Xu, G.; Chi, G.; Su, X. Hydrogeochemical Changes during Artificial Groundwater Well Recharge. Sci. Total Environ. 2023, 900, 165778. [Google Scholar] [CrossRef] [PubMed]
  152. Lin, D.; Jin, M.; Brusseau, M.L.; Liu, Y.; Zhang, D. Using Tracer Tests to Estimate Vertical Recharge and Evaluate Influencing Factors for Irrigated Agricultural Systems. Environ. Earth Sci. 2016, 75, 1–14. [Google Scholar] [CrossRef]
  153. Liu, S.; Wang, W.; Qu, S.; Zheng, Y.; Li, W. Specific Types and Adaptability Evaluation of Managed Aquifer Recharge for Irrigation in the North China Plain. Water 2020, 12, 562. [Google Scholar] [CrossRef]
  154. Yang, Y.; Watanabe, M.; Sakura, Y.; Changyuan, T.; Hayashi, S. Groundwater-Table and Recharge Changes in the Piedmont Region of Taihang Mountain in Gaocheng City and Its Relation to Agricultural Water Use. Water SA 2002, 28, 171–178. [Google Scholar] [CrossRef]
  155. Cong, X.; Xu, Z.; Wang, T. Research on Characteristics of Groundwater Recharge in the Weishan Irrigated District Based on a Bromide Tracer. Water 2018, 10, 799. [Google Scholar] [CrossRef]
  156. Cao, G.; Han, D.; Song, X. Evaluating Actual Evapotranspiration and Impacts of Groundwater Storage Change in the North China Plain. Hydrol. Process 2014, 28, 1797–1808. [Google Scholar] [CrossRef]
  157. Lin, D.; Jin, M.; Liang, X.; Zhan, H. Estimation de La Recharge Des Eaux Souterraines Sous Des Champs Irrigués En Utilisant Les Traceurs Environnementaux Fluorure, Chlorure et Sulfate. Hydrogeol. J. 2013, 21, 1469–1480. [Google Scholar] [CrossRef]
  158. Wang, B.; Jin, M.; Liang, X. Using EARTH Model to Estimate Groundwater Recharge at Five Representative Zones in the Hebei Plain, China. J. Earth Sci. 2015, 26, 425–434. [Google Scholar] [CrossRef]
  159. Ma, Y.; Feng, S.; Song, X. Evaluation of Optimal Irrigation Scheduling and Groundwater Recharge at Representative Sites in the North China Plain with SWAP Model and Field Experiments. Comput. Electron. Agric. 2015, 116, 125–136. [Google Scholar] [CrossRef]
  160. Min, L.; Shen, Y.; Pei, H.; Wang, P. Water Movement and Solute Transport in Deep Vadose Zone under Four Irrigated Agricultural Land-Use Types in the North China Plain. J. Hydrol. 2018, 559, 510–522. [Google Scholar] [CrossRef]
  161. Wang, B.; Jin, M.; Nimmo, J.R.; Yang, L.; Wang, W. Estimating Groundwater Recharge in Hebei Plain, China under Varying Land Use Practices Using Tritium and Bromide Tracers. J. Hydrol. 2008, 356, 209–222. [Google Scholar] [CrossRef]
  162. Wu, Q.; Wang, G.; Zhang, W.; Cui, H.; Zhang, W. Estimation of Groundwater Recharge Using Tracers and Numerical Modeling in the North China Plain. Water 2016, 8, 353. [Google Scholar] [CrossRef]
  163. Huo, S.; Jin, M.; Liang, X.; Lin, D. Changes of Vertical Groundwater Recharge with Increase in Thickness of Vadose Zone Simulated by One-Dimensional Variably Saturated Flow Model. J. Earth Sci. 2014, 25, 1043–1050. [Google Scholar] [CrossRef]
  164. Lu, X.; Jin, M.; Van Genuchten, M.T.; Wang, B. Groundwater Recharge at Five Representative Sites in the Hebei Plain, China. Ground Water 2011, 49, 286–294. [Google Scholar] [CrossRef]
Figure 1. China’s water uses in 2020 by types, (a) in billion cubic meters and (b) in percentage [14].
Figure 1. China’s water uses in 2020 by types, (a) in billion cubic meters and (b) in percentage [14].
Water 16 00354 g001
Figure 2. Long-term climatic scenario in the North China Plain [18]. The maximum, minimum and average temperature (A), rainfall and relativity humidity (B) in the region.
Figure 2. Long-term climatic scenario in the North China Plain [18]. The maximum, minimum and average temperature (A), rainfall and relativity humidity (B) in the region.
Water 16 00354 g002
Figure 3. Major wheat and maize growing areas and geographical boundary of NCP in China. The map was prepared in ArcGIS version 10.2.2 using data source from Agricultural Handbook No.664 of the United States Department of Agriculture (USDA).
Figure 3. Major wheat and maize growing areas and geographical boundary of NCP in China. The map was prepared in ArcGIS version 10.2.2 using data source from Agricultural Handbook No.664 of the United States Department of Agriculture (USDA).
Water 16 00354 g003
Figure 6. Environmental problems of NCP and their mitigation options with componential potentiality levels classified in [106]. A, Very high; B, High; C, Low; D, Not appropriate/not well studied. This chart is modified considering current research trends [39,81,107].
Figure 6. Environmental problems of NCP and their mitigation options with componential potentiality levels classified in [106]. A, Very high; B, High; C, Low; D, Not appropriate/not well studied. This chart is modified considering current research trends [39,81,107].
Water 16 00354 g006
Table 2. Some recommendations for groundwater water conservation under the cropping pattern change option.
Table 2. Some recommendations for groundwater water conservation under the cropping pattern change option.
RecommendationsSupporting Comments for RecommendationsReferences
WW-SM-SPMWater conserved up to 284 mm[22]
WW-SM-SPMLowered groundwater decline by 0.33 m yr−1[38]
SP-C-SP-WW-SMThe system showed less groundwater decline by 0.4 m yr−1[66]
WW-SM-SPM-SPMN fertilizer can be reduced up to 30–50% in the system[112]
WW-EM-EM-FIncreased water saving of 2322 × 106 m3[113]
SM-monocultureShowed 30% low water overdraft[111]
2Y3MS1Balanced groundwater overdraft[114]
Ww-SMOptSaves 62% of groundwater use (minimum irrigated)[115]
Catch cropsDecreased 23.6% drainage and 32.8% NO3 leaching[116]
Mixing switchgrassLowered water table drop by 0.4 m yr−1[75]
SPM × SOYIncreased land utilization rate by >40%[117]
Alfalfa-WWReduced water consumption by 70.5% and NO3 leaching by 35%[57]
WW-SM-SPM-SPMResulted in less groundwater drop of 0.07 m yr−1[37]
SS-WWMitigate groundwater decline through fewer evaporations[118]
Early maize onlyIt had 190 mm less groundwater overdraft[112]
WW-SM-F-SPMRevealed low water overdraft by 150 mm yr−1 only[113]
SPM-monocultureShowed 31% high grain yield via minimum water use[119]
PN-WW-SMThe system had 19% low evapotranspiration[39]
CT-WF-ESMExhibited 33.7% higher water utilization[120]
WWOpt-no-tillReduced risk of groundwater drop[110]
WW-watermelonConsumed low water and N fertilizer[121]
SPM-monocultureShowed lowest, 139 mm yr−1, water consumption[122]
Note: Hence, the change in cropping pattern is recommended by rejecting the conventional cropping pattern of WW-SM based on surveyed publications. WW: Winter wheat, SM: Summer maize, EM: Early maize, F: Fallow, PN: Peanut, SOY: Soybean, SPM: Spring maize, SS-WW: Sweet sorghum–Winter wheat, CWF-ESM: Cotton–Wheat fallow–Early summer maize, SP-C-SP-WW-SM: Sweet potato–Cotton–Sweet potato–Winter wheat–Summer maize, CT: Cotton, WF-ESM: Winter fallow–Early summer maize.
Table 3. Some recommendations for groundwater water conservation under optimized farming practices.
Table 3. Some recommendations for groundwater water conservation under optimized farming practices.
RecommendationsSupporting Comments for RecommendationsReferences
<200 kg N ha−1Because >200 kg N ha−1 caused N leaching from WWSM[24]
Larger spike wheatLarger spike wheat showed N efficiency > 10%[25]
Straw incorporationSignificant inhibited annual N loss of about 31%[58]
75 mm wateringFrom jointing to booting stages in WW showed excellent result[69]
394 mm water yr−1Showed as optimum for WW-SM rotations[75]
330 kg N ha−1 yr−1Reduced N losses by 34% from WW-SM field[39]
Soil test-based N85.2% NO3 leaching can be reduced from the wheat field[125]
7.5 plants m−2Showed higher NUE of maize than plant density, 9.0 m−2[126]
Subsoiling tillage (ST)Water storage capacity increased in 2 m soil layer[129]
ETWatch-UZF-MODFLOWImproved the groundwater balance for shallow aquifers[130]
Drip irrigationProven as efficient irrigation method in water-scarce area[46]
BI→RIRI showed 64.8% WUE compared to conventional BI[131]
FP → OPTSignificantly decreased N loss by 28.6% in WW-SM[132]
43 kg N ha−1Concluded as the optimum ecological dose for maize[133]
Sprinkler irrigationLowered water consumption and improved WUE (17.7%)[134]
N via fertigationReduced risk of NO3 contamination in groundwater[135]
Wide plantingEnhanced WUE and NUE compared to traditional method[59]
CTS → NTSNTS significantly decreased NO3 leaching losses[136]
Use of coated ureaSlow-release coated urea increased maximum N recovery[128]
Conservatory tillage30.1% WUE was improved compared to conventional tillage[137]
5-day-delay sowingET was decreased by 3.5 mm day−1 for wheat[138]
Mulching in maizeReduced soil evaporation loss by 40–50 mm yr−1[139]
Note: Hence, the optimized farming practices are recommended by rejecting conventional cultivation practices in light of surveyed publications. BI: Border irrigation, RI: Raining irrigation, FP: Farmer practice, OPT: Optimized practice, CTS: Conventional-tillage system, NTS: No-tillage system.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Du, J.; Laghari, Y.; Wei, Y.-C.; Wu, L.; He, A.-L.; Liu, G.-Y.; Yang, H.-H.; Guo, Z.-Y.; Leghari, S.J. Groundwater Depletion and Degradation in the North China Plain: Challenges and Mitigation Options. Water 2024, 16, 354. https://doi.org/10.3390/w16020354

AMA Style

Du J, Laghari Y, Wei Y-C, Wu L, He A-L, Liu G-Y, Yang H-H, Guo Z-Y, Leghari SJ. Groundwater Depletion and Degradation in the North China Plain: Challenges and Mitigation Options. Water. 2024; 16(2):354. https://doi.org/10.3390/w16020354

Chicago/Turabian Style

Du, Jun, Yaseen Laghari, Yi-Chang Wei, Linyi Wu, Ai-Ling He, Gao-Yuan Liu, Huan-Huan Yang, Zhong-Yi Guo, and Shah Jahan Leghari. 2024. "Groundwater Depletion and Degradation in the North China Plain: Challenges and Mitigation Options" Water 16, no. 2: 354. https://doi.org/10.3390/w16020354

APA Style

Du, J., Laghari, Y., Wei, Y. -C., Wu, L., He, A. -L., Liu, G. -Y., Yang, H. -H., Guo, Z. -Y., & Leghari, S. J. (2024). Groundwater Depletion and Degradation in the North China Plain: Challenges and Mitigation Options. Water, 16(2), 354. https://doi.org/10.3390/w16020354

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop