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Article

Assessing Ammonia (NH₃) Emissions, Precursor Gas (SO2, NOx) Concentrations, and Source Contributions to Atmospheric PM2.5 from a Commercial Manure Composting Facility

Department of Biological and Environmental Science, Dongguk University-Seoul, Goyang-si 10326, Republic of Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(23), 11467; https://doi.org/10.3390/app142311467
Submission received: 10 October 2024 / Revised: 5 December 2024 / Accepted: 7 December 2024 / Published: 9 December 2024
(This article belongs to the Section Environmental Sciences)

Abstract

:
Increased ammonia (NH3) emissions from intensive agriculture negatively affect environmental and ecosystem health, contributing to formation of particulate matter (PM) and the potent greenhouse gas, N2O. Better understanding NH3 emissions from the manure composting process and their behavior as a constituent of the atmospheric aerosol load is a crucial element in creating better farm management systems, improving public health outcomes, and mitigating the broader environmental and climatic impacts of agriculture. Retarded generation of PM with a major constituent source of NH3 is a primary mechanism for evaluating the effects of agricultural contribution to PM. This study aimed to quantify NH3 emissions, examine the influence of environmental factors, and investigate the relationship between precursor gases (SO2, NOx, NH3) and PM2.5 at a modern manure composting facility in Paju, South Korea. Over 35 days, average internal concentrations of NH3, SO2, and NOx were significantly higher than external levels. NH3 concentrations reached 3.64 ± 0.06 mg m−3 at 3 m height and 2.43 ± 0.16 mg m−3 at ground level, while the total NH3 flux from the facility was 24.47 ± 1.39 NH3-N kg d−1. Internal PM2.5 concentrations (36.9 ± 2.6 µg m−3) were about 50% higher than external levels (23.7 ± 2 µg m−3), with a moderate correlation (r = 0.341) suggesting some contribution of external PM2.5 to internal levels. Despite large quantities of internal emissions, the facility’s sealed design with a negative pressure ventilation system effectively minimized external emissions. These results suggest that while manure composting facilities are significant sources of NH3 and PM2.5, advanced systems like high-volume ventilation and scrubbing technologies can effectively reduce their impact on regional air pollution, contributing to better environmental management in agriculture.

1. Introduction

Agriculture-related emissions, including greenhouse gases (GHGs), ammonia (NH3), particulate matter precursors, and toxic pollutants, can travel across regions, adversely affecting air quality and posing significant risks to human health [1]. These far-reaching impacts highlight the urgent need for effective emission management strategies in agricultural systems to mitigate their environmental and health consequences [2].
In 2017, agricultural activities were estimated to be responsible for approximately 80% of NH3 emissions from the Republic of Korea [3], in line with similar figures from the United States, China, and the European Union [4,5,6,7]. Livestock manure is thought to be the single largest contributor to NH3 emissions [8], estimated to account for around 50% of the total in the USA and China [9,10]. Increased NH3 emissions as a result of intensive agriculture are known to negatively affect environmental and ecosystem health through eutrophication [11] and as an indirect source of the potent greenhouse gas, nitrous oxide (N2O) [5,12].
Per capita meat consumption in South Korea is projected to continue increasing over the next decade, with consumption of chicken and pork having doubled since the year 2000 and beef consumption increasing by more than 40% [13]. Available grazing and arable land is limited in South Korea [14], and pressure on agriculture production means that concentrated animal feeding operations (CAFOs) are common. Effectively managing the manure produced in these facilities is important for controlling NH3 and odor pollution [10,15]. Manure composting is an appealing management technique involving the growth of aerobic micro-organisms within the manure that break it down into a nutrient-rich organic fertilizer that can be applied to agricultural land [7]. When composted, biological degradation of the manure results in the production of sulfur dioxide (SO2) and nitric oxide (NOx) gases, as well as GHGs such as carbon dioxide (CO2), methane (CH4), and N2O [16,17]. Ammonium (NH4+) is also created through microbial processes within the manure and although it is not volatile itself, it exists in equilibrium with NH3 gas [12]. Factors that affect NH3 emissions from manure compost include temperature, moisture content, pH, initial nitrogen content, and air turbulence [7,12]. Aerating compost (via forced aeration, mechanical turning, and the use of organic bulking agents such as wood chips) has also been found to reduce direct emissions of the GHGs CH4 and N2O, lowering the impact of manure composting on climate change, but this causes increases in the pH and temperature of the manure, shifting the equilibrium towards gaseous NH3, increasing emissions, and leading to interest in capturing and scrubbing NH3 from the air [18,19,20].
NH3 emissions are thought to be an important contributor to the formation of secondary particulate matter. NH3 gas reacts with acidic compounds (such as SO2 and NOx) in the atmosphere, resulting in PM2.5 formation [21,22]. Studies have investigated the role of NH3 interactions with SO2 and NOx in contributing to severe PM2.5 episodes in both South and East Asia [6,23,24], as well as in Europe [25,26] and North America [9,27]. Poor air quality is among the greatest issues currently facing East Asian societies, negatively affecting health outcomes [28,29] and economic productivity [30] across the region.
Better understanding NH3 emissions from the manure composting process and their behavior as a constituent of the atmospheric aerosol load is a crucial element in creating better farm management systems, improving public health outcomes, and mitigating the broader environmental and climatic impacts of agriculture. This study aimed to characterize and quantify SO2, NOx, NH3 (SNA), and PM2.5 emissions from a modern manure composting facility in South Korea in order to (a) calculate NH3 flux, (b) assess the role that physical and environmental variables play in NH3 emission, and (c) investigate any relationship between SNA and PM2.5 formation within the facility. In addition, this paper aims to evaluate whether this modern facility, equipped with an NH3 scrubbing system, is able to minimize external emissions that may contribute to regional air pollution.

2. Materials and Methods

A multi-instrument monitoring system was set up to monitor SNA emissions and PM concentrations at a manure composting facility located in Papyeong-myeon, Paju City, Gyeonggi Province, South Korea. The chosen facility began operations in 2017 and is a purpose-built, modern manure composting facility installed with a high-volume ventilation and scrubber system. The monitoring instruments were operated over a 5-week period between 11 June and 16 July 2020. Internal concentrations of SNA and external concentrations of NH3 and PM2.5 were monitored continuously. In addition, internal PM2.5 concentrations were monitored for shorter durations during the monitoring period.

2.1. Monitoring Site

The Paju manure composting facility (PMCF) has been designed to process animal manure from animal feeding operations (AFOs) into organic fertilizer for agricultural use. The facility is composed of several distinct sections. Fresh manure is delivered from local poultry and livestock farms and stored for 25 days in an atrium sectioned into ten large bays for bulk manure storage prior to composting. The manure is then mixed at a 85:15 manure–sawdust ratio and added to one of two halls, to agitate the manure during the composting process. In each hall, the manure is mixed daily by a conveyor-type agitator that lifts, aerates, and deposits the manure along three windrows. During the daily agitation, the manure is gradually moved from the input to the extraction end of each hall over a period of 18 days. Following the composting agitation process, the manure is extracted and taken to a composted manure storage hall where it is allowed to rest for approximately 33 days, before being moved to a facility for packaging composted manure for sale as organic fertilizer. The facility also contains a separate underground tank for processing the liquid/slurry component of the manure. This study focused on monitoring precursor gas and PM emissions from one of the manure composting agitation halls (Figure 1). It was expected that the greatest NH3 losses would occur during this stage of the manure composting process, due to the regular agitation and aeration of the manure.
The building is installed with two 1400 m3 min−1 capacity extraction fans which remove the air in the facility, maintaining a negative internal pressure, and pass it through scrubbers designed to remove precursor gases and PM before it is emitted externally. Two ceiling-mounted vents leading to the extractor fans are located in each manure composting agitation hall.

2.2. Monitoring System

A weatherproof station to house the monitoring instruments was installed outside the PMCF, adjacent to one of the manure composting agitation halls. The instruments were housed externally to reduce the possibility of contamination and corrosion of the instruments due to high concentrations of SNA precursor gases inside the facility. Filtered gas samplers were placed along a walkway inside the manure composting agitation hall. The instruments were connected to the filtered gas samplers with 10 m lengths of 4 mm diameter Teflon tubing, wrapped in a heated trace to reduce condensation, and run through holes in the building’s window fittings. Filtered gas samplers were used to ensure that the tubing did not become blocked with dust particles entrained during the daily manure agitation cycles.

2.2.1. Precursor Gas Measurement

NH3 gas concentrations were monitored via a 6-channel gas sampling doser (INNOVA1403) connected to an INNOVA1512i photoacoustic NH3 gas analyzer (INNOVA1403 & 1512i, LumaSense Technologies, Ballerup, Denmark). Four channels were used to monitor NH3 concentrations along the length of the manure composting agitation hall. In addition, two gas-sampling channels were installed outside the facility, one located at a height of 3 m above ground level adjacent to a window on the outer wall of the manure composting agitation hall and one located at ground level next to the instrument station. The INNOVA gas-sampling system provided NH3 concentrations (measurement range: 0–500 ppm, sensitivity: 1 ppb) sequentially across the 6 channels at approximately 45 s intervals. Except where explicitly mentioned, internal NH3 emissions are reported as averages of the data from the four internal channels.
Sulfur dioxide (SO2) and nitrogen oxide (NOx) gas concentrations (measurement range: 0–500 ppb, sensitivity: 0.1 ppb) were sampled at five-minute intervals at single points inside the manure composting agitation hall, using KENTEK gas analyzers (KENTEK Co., Ltd., Daejeon, South Korea). NOx was measured on a KENTEK MEZUS 210 instrument via chemiluminescence. SO2 was measured by a KENTEK MEZUS 110 instrument, using an ultraviolet fluorescence method. NOx gas concentrations were only available prior to 4 July 2020. While heated traces were used to avoid moisture condensation inside the Teflon sampling tubes, condensation buildup after this date caused abnormal NOx data readings after 4 July.
The presented precursor gas concentration datasets measured at the facility were transformed to 15 min averages to reduce noise and to aid cross comparison between data sampled at different time intervals. For comparison with environmental variables and regional PM and gas concentration measurements, precursor gas concentrations were converted to hourly average values to match the data resolution of these externally sourced data.
Regional hourly SO2 and nitrogen dioxide (NO2) gas concentration data for the duration of the study, measured at local government-operated air quality monitoring sites in Paju, were downloaded from the Air Korea government website (https://www.airkorea.or.kr/index (accessed on 6 September 2020)).
This study investigated the difference in gas concentrations during daytime and nighttime and between weekdays and weekends. This was because manure agitation only occurs during the daytime at weekdays. Daytime was defined in this study as between 7 am and 7 pm, while nighttime was from 7 pm to 7 am. Weekends were defined as the 48 h from 7 am on Saturday until 7 am on Monday.

2.2.2. Particulate Matter Measurement

An automatic beta-ray-absorption ultrafine-dust measuring device was installed at ground level outside the facility next to the instrument station, to monitor external PM concentrations. The β-ray instrument conducted hourly air sampling for the duration of the sampling period.
A GRIMM 11-D Aerosol Spectrometer Optical Particle Counter (GRIMM OPC 11-D, Grimm Aerosol Technik Ainring GmbH & Co. KG, Ainring, Germany) instrument was used to sample internal PM concentrations in the composting conveyor hall for two separate periods, from 24 to 26 June and from 8 to 16 July 2020.
Regional particulate matter concentration data for the duration of the study, measured at local government-operated air quality monitoring sites in Paju, were downloaded at an hourly resolution from the Air Korea government website (https://www.airkorea.or.kr/index).

2.2.3. Environmental Variables

Hourly local temperature and humidity data for the duration of the study, measured at a government-operated meteorological station in Paju, were downloaded from the Korean Meteorological Association website (https://data.kma.go.kr/ (accessed on 6 September 2020)).

2.3. Ammonia Emissions Flux Calculations

For calculation of the flux of NH3 emissions from the manure being processed inside the manure composting agitation hall, the extraction fans were disabled, allowing gaseous NH3 concentrations to rise until they reach peak concentration, probably as a result of equilibrium in the concentration gradient at the manure–air boundary. The difference between normal (ventilated) NH3 concentrations and saturated NH3 concentrations was divided by the time taken for this increase to occur, and the results were averaged across the four internal NH3 sampling channels.
ENH3 = (CNH3(sat.) − CNH3(vent.))/Δt
Equation (1) demonstrates how the NH3 emission rate was calculated, where CNH3(sat.) is the point at which NH3 concentrations in the air reach equilibrium with NH3 concentrations at the manure surface (i.e., there is no longer a concentration gradient, leading to a stabilization of NH3 concentration in the air), CNH3(vent.) is the ambient concentration of NH3 under ventilated conditions (i.e., when there is negative pressure and emitted NH3 is being constantly removed and scrubbed by the ventilation system during ordinary operation), and Δt is the change in time in minutes between these two states following the disengagement of the ventilation system.

2.4. Statistical Analyses

The bivariate correlations between gas concentrations and environmental variables were tested using Pearson’s correlation coefficients, while the significance of differences between precursor gas concentrations under day, night, weekday, and weekend conditions was tested using a one-way ANOVA test at a 95% confidence level, using R package version 4.0.2.

3. Results and Discussion

3.1. Environmental Variables: Temperature and Relative Humidity

Data for environmental variables showed that temperature and relative humidity maintained a relatively consistent diurnal pattern throughout the monitoring period (Figure 2). While separate internal data for temperature and humidity were not measured, it is expected that these were closely related to local meteorological conditions. The agitation hall was not climate controlled but the air was constantly ventilated to maintain a negative pressure situation, ensuring that the internal environment remained similar to prevailing local environmental conditions.
The average temperature during the monitoring period was 22.3 °C, with a coldest temperature of 16.1 °C degrees early in the morning of 17 June and an overall high of 34 °C on the afternoon of 22 June (Table 1). Daily minimum temperatures (mean = 18.3 °C, standard deviation = 1.3 °C) varied slightly less than daily maximum temperatures (mean = 27.1 °C, standard deviation = 2.9 °C). As expected, relative humidity showed an inverse pattern compared with temperature, with lower humidity during the day and higher humidity during cooler nights (Figure 2). Relative humidity reached dew point (100% RH) most nights. The relative humidity data attest to two periods of rain during the monitoring period from 23–26 June and 12–14 July. The variable environmental data show that the main variation was diurnal, with no discernible trends over the whole monitoring period.

3.2. Gas Concentrations

3.2.1. Ammonia Monitoring Results

NH3 was the most abundant of the monitored gases, with internal NH3 concentrations averaging 57.1 ± 1.3 mg m−3 across the entire monitoring period (excluding the two occasions when the extractor fans where disabled—these periods are discussed separately). There was substantial variation in NH3 concentrations depending on the timing of the measurements. The highest average NH3 concentrations were recorded during weekend daytime at 66.3 ± 8.2 mg m−3 (Table 2), although this was not significantly different (p < 0.05) from the average weekday daytime concentrations of 64 ± 2.5 mg m−3 (Figure 3). Average weekday nighttime NH3 concentrations were found to be slightly lower at 54.2 ± 2.1 mg m−3, and they were statistically significantly different from the daytime concentrations. Weekend nighttime average NH3 concentrations were measured to be less than 60% of the average daytime levels, at 37.9 ± 2.6 mg m−3. The differences in average concentrations of NH3 during separate time periods probably reflect differences in environmental variables (i.e., temperature and humidity) and manure agitation activity between night and day, and the absence of manure agitation activities at weekends.
The diurnal fluctuations in NH3 concentrations and the differences in concentration patterns between weekdays and weekends were clearly seen across all four internal NH3 sampling points (Figure 4). On weekdays, all internal sampling points showed concentrations peaking sharply, three times, during the daily agitation events, matching the travel of the agitator along the three manure windrows (Figure 1). At weekends, a single broader NH3 concentration peak was observed. It is likely that agitation itself resulted in shorter, higher magnitude NH3 concentrations that were quickly cleared by the ventilation system, reducing peak NH3 emissions outside of the agitation period. By contrast, at weekends, there was a lower but broader NH3 concentration peak during the day (Figure 4). On weekdays, the lowest concentrations of NH3 were usually recorded immediately after manure agitation had ceased, while at weekends, the lowest concentrations of NH3 are observed overnight, in the early morning prior to sunrise. The pattern of emissions at the weekend may suggest a greater role of temperature in NH3 emissions at this time.
Turning of the manure during agitation cycles aerates the compost and provides a supply of oxygen to the microorganisms that are performing aerobic digestion [20]. The biological oxidation of C to CO2 releases heat, which raises the temperature of the compost into a thermophilic (>40 °C) state [20]. In addition, aeration exposes the manure to air, allowing the release of dissolved CO2, which raises the pH of the manure [12]. Increases in either temperature or pH promote the emission of NH3 by increasing the dissociation of NH4+ [12,18,19]. The process of turning/aeration itself increases the capacity for NH3 vitalization through air turbulence across the greatly expanded manure surface area [12], leading to the high concentrations of NH3 recorded during the agitation events. However, alongside volatizing the reservoir of NH3 gas in the manure, this process also temporarily lowered the temperature of the manure, which probably led to the lower NH3 concentrations that were recorded directly after agitation. Following aeration, the increased availability of oxygen led to temperature increases within the compost over the next day [17]. Following aeration that occurred during the week, the temperature of the undisturbed manure at weekends remained higher, leading to increased NH3 concentrations during the warmer daytimes and lower NH3 concentrations during the cooler nights.
The agitation events can be clearly recognized in the raw NH3 concentration dataset based on the internal sampling points (Figure 5). Three periods of raised concentrations are apparent, representing the agitator travelling along each of the three windrows. The first period of raised concentrations with the highest peaks (at 275–500 mg m−3) shows the agitation of the windrow closest to the internal sampling points and distinctly displays sequential concentration peaks that arose as the agitator passed each of the four sampling points.
External NH3 concentrations were generally an order of magnitude lower than internal concentrations. Average NH3 concentrations at 3 m height above ground level adjacent to the manure agitation hall window were 3.64 ± 0.06 mg m−3 across the whole monitoring period, while average external NH3 concentrations at ground level were slightly lower at 2.43 ± 0.16 mg m−3 (Figure 6; Table 2). There was no substantial diurnal/weekday–weekend variation in external NH3 concentrations at 3 m height, although at ground level, weekday daytime NH3 concentrations (3.1 mg m−3) were approximately 50% higher than during the other time periods (1.7–2.1 mg m−3). Although the data showed that the NH3 emitted by the facility was low compared with internal concentrations, increases in external NH3 concentrations were detected coincident with increases in internal concentrations, demonstrating that some leakage did occur. In addition, external NH3 concentrations at 3 m height were comparable to average concentrations of 3.7–5 mg m−3 that were measured inside a Chinese commercial manure-belt layer house [31], and as such, they are not negligible. It was expected that the external sampling point at 3 m height would record higher average NH3 concentrations than the ground-level sampling point, due to the potential for emissions through the window fitting. However, external ground-level NH3 concentrations, although lower on average, regularly displayed greater peak concentrations of NH3 during manure agitation activity (Figure 6), although it is unclear why this might have been the case.

3.2.2. SO2

Recorded concentrations of SO2 gas shared a similar pattern to NH3 concentrations (Figure 7), displaying high but variable concentrations during manure agitation and more broadly elevated concentrations during weekend daytimes when agitation did not occur. This similarity was reflected by a strong positive correlation (r = 0.751, p < 0.001) between the concentrations of NH3 and SO2 (Figure 8, Table 3). Although sharing a similar profile, SO2 concentrations were consistently two orders of magnitude lower than NH3 concentrations, averaging 307.2 ± 17.4 µg m−3 over the monitoring period. Unlike NH3, the average concentrations of SO2 during weekdays (371 ± 30.5 µg m−3) and nights (321.1 ± 23.7 µg m−3) were not found to be significantly different (p < 0.05). In addition, unlike NH3, average weekend daytime SO2 concentrations (265 ± 45.6 µg m−3) were lower than both weekday daytime and nighttime concentrations although also not statistically different (p > 0.95). However, average SO2 concentrations on weekend nights (147.2 ± 15.7 µg m−3) were found to be significantly lower (p < 0.05) than SO2 concentrations at all other times. During weekday manure agitation events, SO2 concentrations shared a similar pattern with NH3, with three main concentration spikes related to the sequential agitation of the three manure windrows. Weekday SO2 concentrations were consistently measured to be lowest in the period directly after agitation activity ceased. However, again showing similarities to NH3 concentration patterns, weekend daytime concentrations of SO2 were elevated for longer durations throughout the day and the lowest concentrations occurred during the night, prior to sunrise.
These data suggests that both NH3 and SO2 were emitted during the manure composting process, and the similarity in the patterns of the recorded concentrations may suggest similar emission mechanisms. SO2 can result from incomplete oxidation during manure breakdown by the activity of microorganisms, perhaps as a result of intermittently aerobic conditions [17]. However, unlike this study, research by Wang [31] found that indoor SO2 concentrations in a belt-layer house Beijing related predominantly to the ambient air. While that study found a positive correlation between internal and regional SO2 concentrations, data from the current study rule out any substantial effect of ambient air on internal SO2 concentrations at the PMCF (Table 3). Indeed, the strong positive correlation between NH3 and SO2 concentrations suggests that manure composting is the predominant source of both. Two existing studies both found that SO2 was emitted during the manure composting process; however, they produced widely different results for sulfur mass loss, ranging from <1% [32] to approximately 20% [17], and the SO2 emission mechanism is not well understood.

3.2.3. NOx

NOx represents the total combination of NO and NO2, which were both measured during this study. In this study, NO was found to be the predominant component of NOx (Table 2), with average concentrations (33.4 ± 3.2 µg m−3) four-and-a-half times greater than those of NO2 (7.3 ± 0.8 µg m−3). Unfortunately, the NOx concentration data were contaminated after 4 July 2020, due to a build-up of condensation in the sampling tube, meaning that NOx data for the final 12 days of the study were not used. Weekday (34 ± 4.1 µg m−3) and night (32 ± 5.4 µg m−3) concentrations of NO were similar, and weekend daytime concentrations were slightly lower (28 ± 6.6 µg m−3). Average NO concentrations were greatest on weekend nights (49.7 ± 13.6 µg m−3); however, these difference were not found to be statistically significant (p < 0.05). Similar to NH3 and SO2, NO concentrations recorded increases during manure agitation (Figure 7); however, NO concentrations at the weekends appeared to display an approximately inverse pattern to NH3 and SO2. That is, when NH3 and SO2 concentrations were elevated during the weekend daytime, NO concentrations were depleted, and this situation was reversed during weekend nights. NO is produced as a result of nitrification and denitrification processes during composting [17,31]. Similar to the increased concentrations of NH3 and SO2 during agitation, NO concentrations may have been increased as a result of manure turning, by exposing more manure to the air, increasing the potential for diffusion [17]. The lower concentrations of NO at weekend daytimes may be explained through the inhibition of nitrobacteria activity by high temperatures [17,19], with greater concentrations of NO overnight when temperatures were lower. Fillingham [18] reported an inverse relationship between NH3 emissions and NO emissions, with greater NH3 emissions in well-aerated and higher-temperature conditions, while NO emissions increased during manure storage. Previous research has found that NO emissions substantially increase only later in the composting process (beyond 15–30 days), after the thermophilic phase, when mesophilic nitrifying bacteria are able to grow [33,34].
Unlike NO, concentrations of NO2 displayed a pattern more similar to NH3, with elevated concentrations during weekdays and weekend daytimes, and lower concentrations at night (Table 2). Internal NO2 concentrations were not correlated with ambient regional NO2 concentrations (Table 3), suggesting that the main source of NO2 in the facility was the composting manure. However, analysis showed that NO2 concentrations had a strong negative correlation with relative humidity (r = −0.6, p < 0.001) (Figure 9, Table 3), and a moderate positive correlation with temperature (r = 0.476, p < 0.001), although the latter is likely to reflect only the relationship between temperature and humidity. It is possible that greater humidity could have contributed to the indirect relationship between NO2 and NO concentrations by providing water for the reaction from NO2 to nitric acid and NOx (Equation (2)), thus also explaining the negative correlation with humidity.
3 NO2 + H2O + → 2 HNO3 + NO

3.3. Particulate Matter Concentrations

Average external PM2.5 concentrations during the monitoring period were 23.7 ± 2 µg m−3 (Table 2), and unlike internal NH3 concentrations, there was no significant variability between day–night or weekday–weekend periods. The hourly external PM2.5 concentrations measured at the PMCF closely matched regional PM2.5 concentrations (Figure 10), with which they had a strong positive correlation (r = 0.67, p < 0.001).
There were two exceptions, on the 25 and 26 June 2020, respectively, when external PMCF PM2.5 concentrations greatly diverged from regional concentrations (Figure 10). However, internal NH3, SO2, and NOx concentration data for these two dates did not appear to show any large anomalies that might have corresponded with the high PM2.5 concentrations. This suggests that the elevated PM2.5 concentrations measured outside the facility on the 25 and 26 June did not originate from the manure composting function of the facility and were from a different source. Together with the high correlation with regional PM2.5 concentrations, these data suggests that the PMCF is unlikely to be a significant local or regional source of PM2.5.
Average internal PM2.5 concentrations were 36.9 ± 2.6 µg m−3. Similar PM2.5 concentrations (39–56 µg m−3) were found during monitoring of slatted-floor hog houses in China [35], and these were are slightly lower than PM2.5 concentrations (40–80 µg m−3) at a commercial laying hen house in Canada [36]. However, they were much lower than the PM2.5 concentration (100–140 µg m−3) measured by Wang in Chinese manure-belt laying hen houses [31], and in a range of swine (75–177 µg m−3) and poultry houses (233–389 µg m−3) in the mid-western USA [37]. Elevated periods of PM2.5 concentrations appear to have coincided with manure agitation (Figure 11) and could have been a result of mechanical lofting of fine-fraction dust particles and/or secondary aerosol formation from elevated concentrations of precursor gas. Secondary aerosol formation can occur when NH3 gas reacts with acidic species SO2 and NOx to form NH4+ salts like (NH4)2SO4 and NH4NO3 [9,21]. Reaction between NH3 and sulfuric acids occurs preferentially over nitric acids under normal atmospheric conditions [21], and the reaction rate between NH3 and sulfuric acids is faster than for nitric acids [22]. Peak PM2.5 concentrations were recorded at 889 µg m−3 and 1479 µg m−3 on the 14 and 15 July 2020, respectively (Figure 11), showing that very high internal PM2.5 concentrations occasionally occurred for brief durations coincident with agitation activity. However, PM2.5 concentrations rarely rose above 200 µg m−3 and it is likely that the high-volume ventilation system at the PMCF was an important factor in the relatively low internal PM2.5 concentrations, removing fine-fraction dust particles and precursor gases before PM2.5 formation was able to occur.
Due to the shorter duration (approx. 10 days) over which internal PM2.5 was measured, it was not possible to assess statistical differences between weekend and weekday concentrations. Although internal concentrations of PM2.5 were observed to reach much higher levels on weekdays following manure agitation, concentrations appeared to show comparatively little variability at weekends. A weak but significant correlation was found between regional and internal PM2.5 concentrations (r = 0.341, p < 0.001), suggesting that PM2.5 in the ambient air was responsible for a portion of the internal PM2.5 concentrations; however, no correlation existed between external and internal PM2.5 (Table 3).

3.4. Ammonia Emission Rate

An experiment was undertaken during a 5 h period between 12:30 and 17:30 on Saturday 11 July 2020, in which the high-volume ventilation/scrubber system was turned off in order to measure the flux of NH3 from the composting manure (Figure 12). Prior to the experiment, under ventilated conditions, internal NH3 concentrations were stable at approximately 100 mg m−3, rising to around 150 mg m−3 as all entrances and exits to the facility were closed. After the ventilation system was disabled, NH3 concentrations were recorded to drop to an average of ~30 mg m−3 initially, before rising quickly to reach values of ~250 mg m−3 within 30 min. Peak concentrations of ~325 mg m−3 were reached after approximately 40 min. Concentrations of SO2 followed a similar pattern to NH3, initially dropping before exceeding the monitoring instrument’s detection limit at 1.31 mg m−3 (500 ppb). It is not clear why NH3 concentrations dropped after the ventilation system was disabled, but we hypothesize that the negative pressure environment created by the ventilation system caused a greater flux of NH3 from the manure surface due to the pressure gradient, and therefore, when the ventilation system was disabled, NH3 was emitted at a reduced rate. Alternatively, the decrease could have been related to lower air turbulence across the manure surface, which would be expected to reduce convective mass transfer of NH3 from the manure surface to the air [12].
The emission rate of NH3 was calculated according to Equation (1), based on the time taken for NH3 concentrations to rise from their minima at ~30 mg m−3 to the inflection point at ~250 mg m−3, after which the concentration increase slowed down. The results showed that under stable non-ventilated conditions, the NH3 emission rate inside the manure agitation hall was between 6.16 and 8.02 (mean = 7.28 ± 0.41) NH3-N mg min−1 m−3 (Table 4); extrapolated, the total mass of NH3 emitted daily was between 20.7 and 26.96 (mean = 24.47 ± 1.39) NH3-N kg d−1.
There is little standardization of the units used to report NH3 emission rates across various studies. The data from this study were compared with other studies in the units in which those studies published their data. The scaled NH3 emission rates in the PMCF were high compared with studies investigating emissions from AFOs. Hristov [12] presented a compilation of data from multiple dairy farms and beef feed lots (n = 29), where all but one study found NH3 emissions between 0.01 and 0.9 g h−1 m−2, compared with 2.77 ± 0.41 g h−1 m−2 NH3-N in this study. Daily NH3 emissions from a composting facility at a manure belt poultry house were estimated to be much greater, at 596 kg d−1 [7], approximately 20 times higher than in this study. However, Zhao [7] also relayed data from conference proceedings presented by Matsusada [38], reporting NH3 emissions of 0.32–2.84 g kg−1, 0.02–2.74 g kg−1, and 0.04–0.46 g kg−1 for composting of swine, poultry, and dairy manure, respectively. These figures are comparable to the NH3 emissions of 1.52 ± 0.09 g kg−1 from the mixed manure at the PMCF. A separate study of cattle manure composting reported NH3 emissions of 0.07–0.19 g d−1 kg−1 during the first 50 days [39], again similar to the figure of 0.084 ± 0.005 g d−1 kg−1 for this study. As expected, the NH3 emission rate at the PMCF was more similar to measurements from other manure composting operations than those from AFOs.
Internal PM2.5 concentrations were also measured during the ventilation-off experiment and were found to initially rise from approximately 3–10 µg m−3 under ventilated conditions to 18 µg m−3 when the ventilation system was disengaged, before decreasing again to ~5 µg m−3 during the experiment. At the end of the experiment, when the ventilation system was re-engaged, PM2.5 concentrations peaked at 65 µg m−3. It was expected that the high concentrations of NH3 and SO2 during the ventilation-off experiment would lead to secondary inorganic particulate formation and higher PM2.5 concentrations. The presence of PM2.5 concentration peaks at the beginning and end of the experiment, but not during it when NH3 and SO2 concentrations were highest, suggests that the processes affecting PM2.5 formation were more complex than the co-existence of precursor gases alone. This could be a productive area for future research.

4. Conclusions

The concentrations of SNA precursor gases and PM2.5 at a modern manure composting facility in Paju, South Korea were continuously measured over a period of 35 days in June and July 2021. Average internal NH3 concentrations were 57.1 ± 1.3 mg m−3, compared with external NH3 concentrations of 3.64 ± 0.06 mg m−3 at 3 m height and 2.43 ± 0.16 mg m−3 at ground level. Internal concentrations of NH3 were found to differ significantly between daytime (higher) and nighttime (lower), and weekend nights had concentrations that were significantly lower than weekday nights. These concentration differences are likely to have been caused by manure agitation activity, which occurred during weekday daytimes, and temperature differences between day and night. Sulfur dioxide (SO2) concentrations followed a similar pattern to NH3, and SO2 was found to be the second most abundant precursor gas, with average concentrations of 307.2 ± 17.4 µg m−3. Weekend nighttime concentrations of SO2 were found to be significantly lower than at all other times. The predominant component of NOx gases was determined to be NO, with average concentrations of 33.4 ± 3.2 µg m−3, compared with NO2 concentrations of 7.3 ± 0.8 µg m−3. Although there were no significant differences between NOx concentrations at different times, the NOx concentration profile was markedly different to both NH3 and SO2, suggesting that the processes governing emissions were different. Average PM2.5 concentrations inside the facility (36.9 ± 2.6 µg m−3) were about 50% higher than external concentrations (23.7 ± 2 µg m−3), and a moderate correlation (r = 0.341, p < 0.001) between the two suggested that ambient PM2.5 contributed part of the internally measured concentrations. The NH3 emission rate from the facility’s manure agitation hall was calculated to be 7.28 ± 0.41 NH3-N mg min−1 m−3, corresponding to scaled emissions rates of 1.85 ± 0.1 NH3-N g h−1 m−3 for manure compost and 1.52 ± 0.09 NH3-N g kg−1 for manure compost over the full 18-day composting period. Based on these figures, total daily NH3 flux from the manure agitation hall was approximately 24.47 ± 1.39 NH3-N kg d−1. The data from this study suggest that despite the large fluxes of NH3 and other precursor gases emitted inside the manure composting facility, the sealed building design with a negative-pressure high-volume ventilation/scrubber system is effective at minimizing NH3 and PM2.5 emissions to the atmosphere.

Author Contributions

Conceptualization, S.-R.L.; methodology, S.-R.L.; software, S.-R.L.; validation, S.-R.L.; formal analysis, S.-R.L.; investigation, S.-R.L.; resources, S.-R.L.; data curation, S.-R.L.; writing—original draft preparation, S.-R.L.; writing—review and editing, S.-R.L. and G.K.; visualization, S.-R.L.; supervision, S.-R.L.; project administration, S.-R.L.; funding acquisition, S.-R.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the support of the Korea Environment Industry & Technology Institute (KEITI), Korea Ministry of Environment (MOE) and “Cooperative Research Program for Agriculture Science & Technology Development (Project No. PJ01429701)” Rural Development Administration (RDA) and supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through “Technology Development Program for Agriculture and Forestry” funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (Project No. 318014), Republic of Korea.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. (a) Bird’s-eye view of the facility showing the location of sampling points, and (b) side-on view.
Figure 1. (a) Bird’s-eye view of the facility showing the location of sampling points, and (b) side-on view.
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Figure 2. Consistent diurnal pattern of temperature and relative humidity throughout the monitoring period.
Figure 2. Consistent diurnal pattern of temperature and relative humidity throughout the monitoring period.
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Figure 3. Average concentrations and standard errors of measured precursor gases. The letters denote the results of one-way ANOVA testing showing whether there were significant differences in concentrations measured during separate periods: weekday day, weekday night, weekend day, and weekend night.
Figure 3. Average concentrations and standard errors of measured precursor gases. The letters denote the results of one-way ANOVA testing showing whether there were significant differences in concentrations measured during separate periods: weekday day, weekday night, weekend day, and weekend night.
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Figure 4. Concentration trends −of single broader NH3 concentration peaks during a 1-week time series (18–25 June 2020) along with a weekend event (20–21 June 2020).
Figure 4. Concentration trends −of single broader NH3 concentration peaks during a 1-week time series (18–25 June 2020) along with a weekend event (20–21 June 2020).
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Figure 5. Spikes of NH3 trends following agitation, at four sampling points (18 June 2022).
Figure 5. Spikes of NH3 trends following agitation, at four sampling points (18 June 2022).
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Figure 6. Comparison of average and peak NH3 concentrations inside the facility (internal) and outside, at 3 m height and ground level (external) adjacent to the manure agitation hall.
Figure 6. Comparison of average and peak NH3 concentrations inside the facility (internal) and outside, at 3 m height and ground level (external) adjacent to the manure agitation hall.
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Figure 7. Comparative analysis of SO2, NH3, and NO concentrations around a manure facility, showing patterns of emission peaks during agitation activities and weekend variability.
Figure 7. Comparative analysis of SO2, NH3, and NO concentrations around a manure facility, showing patterns of emission peaks during agitation activities and weekend variability.
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Figure 8. Correlation analysis of NH3 and SO2 concentrations; evidence of a strong positive association during emission events.
Figure 8. Correlation analysis of NH3 and SO2 concentrations; evidence of a strong positive association during emission events.
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Figure 9. Negative correlation of relative humidity with NO2 concentrations.
Figure 9. Negative correlation of relative humidity with NO2 concentrations.
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Figure 10. Comparison of PM2.5 results between beta-ray measurements and data from Paju weather station.
Figure 10. Comparison of PM2.5 results between beta-ray measurements and data from Paju weather station.
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Figure 11. Trailing internal concentrations of PM2.5 along with NH3 and SO2.
Figure 11. Trailing internal concentrations of PM2.5 along with NH3 and SO2.
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Figure 12. Emission flux response to turning off the high-volume ventilation and scrubber system during a 5 h period, 12:30–17:30 on Saturday 11 July 2020.
Figure 12. Emission flux response to turning off the high-volume ventilation and scrubber system during a 5 h period, 12:30–17:30 on Saturday 11 July 2020.
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Table 1. Summary of average, minimum, maximum, and standard deviation values of temperature and relative humidity, along with daily maximum and minimum averages.
Table 1. Summary of average, minimum, maximum, and standard deviation values of temperature and relative humidity, along with daily maximum and minimum averages.
Temperature (°C)Relative Humidity (%)
Average22.382
Min.16.132
Max.34.1100
St. Dev.3.615.9
Daily Max. Average27.198.4
St. Dev.2.92.9
Daily Min. Average18.360.2
St. Dev.1.313.7
Table 2. Average internal and external concentrations of monitored SNA gases and PM2.5.
Table 2. Average internal and external concentrations of monitored SNA gases and PM2.5.
NH3 IntNH3 Ext HiNH3 Ext LoNO FacNO2 FacSO2 FacPM2.5 IntPM2.5 Ext
mg m−3μg m−3
Week DayMean63.9513.8503.15534.0079.000371.004-23.570
Std. Err.2.5300.0700.3664.0521.84630.452-3.832
Week NightMean54.2173.5552.05331.9284.991321.118-22.171
Std. Err.2.0740.0840.0925.4211.05223.671-3.277
W/end DayMean66.2783.7932.07927.93910.332264.985-22.337
Std. Err.8.1570.1790.0926.6161.36345.646-3.529
W/end NightMean37.9113.1801.73649.7237.032147.155-23.319
Std. Err.2.5580.1120.05613.6291.32815.669-2.644
Over allMean57.0633.6422.42533.3507.276307.22436.90123.713
Std. Err.1.3160.0560.1593.1530.84617.4262.5991.959
Table 3. Calculated 15 Min/1 h Correlations—NH3 Int, NH3 Ext 1, NH3 Ext 2, SO2, NO, NO2, Temp, RH, Beta-Ray PM, Paju PM.
Table 3. Calculated 15 Min/1 h Correlations—NH3 Int, NH3 Ext 1, NH3 Ext 2, SO2, NO, NO2, Temp, RH, Beta-Ray PM, Paju PM.
NH3 IntNH3 Ext WiNH3 Ext GrNO FacNO2 FacSO2 FacPM2.5 IntPM2.5 Ext
Temp0.1010.0860.071−0.1910.4760.0730.2770.033
RH−0.072−0.012−0.0630.059−0.600−0.047−0.3220.078
PM2.5 Paju0.1910.154−0.1390.0720.0960.0530.3410.666
NO2 Paju 0.023−0.025 0.0840.412
SO2 Paju −0.204−0.0170.404
NH3 Int
NH3 Ext wi0.831
NH3 Ext gr0.4290.345 * = 0.05
NO Fac0.1910.1400.107 ** = 0.01
NO2 Fac−0.084−0.139−0.1020.290 *** = 0.001
SO2 Fac0.7510.7020.400−0.008−0.201
PM2.5 Int0.0470.1170.0260.0630.0510.155
PM2.5 Ext0.0960.072−0.110−0.0300.028−0.0650.088
* Light blue cell means p = 0.05, ** blue cell means p = 0.01, *** pink cell means p = 0.001.
Table 4. NH3 emission rates inside the Paju Manure Composting Facility under non-ventilated conditions.
Table 4. NH3 emission rates inside the Paju Manure Composting Facility under non-ventilated conditions.
Emission RateScaled Emission Rates
mg min−1 m−3g h−1 m−2 Manureg h−1 m−3 Manureg kg−1 Manure *
Mean7.282.771.851.52
Std. Error0.410.160.10.09
* over the entire 18-day composting period.
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Lee, S.-R.; Kim, G. Assessing Ammonia (NH₃) Emissions, Precursor Gas (SO2, NOx) Concentrations, and Source Contributions to Atmospheric PM2.5 from a Commercial Manure Composting Facility. Appl. Sci. 2024, 14, 11467. https://doi.org/10.3390/app142311467

AMA Style

Lee S-R, Kim G. Assessing Ammonia (NH₃) Emissions, Precursor Gas (SO2, NOx) Concentrations, and Source Contributions to Atmospheric PM2.5 from a Commercial Manure Composting Facility. Applied Sciences. 2024; 14(23):11467. https://doi.org/10.3390/app142311467

Chicago/Turabian Style

Lee, Sang-Ryong, and Gyuwon Kim. 2024. "Assessing Ammonia (NH₃) Emissions, Precursor Gas (SO2, NOx) Concentrations, and Source Contributions to Atmospheric PM2.5 from a Commercial Manure Composting Facility" Applied Sciences 14, no. 23: 11467. https://doi.org/10.3390/app142311467

APA Style

Lee, S.-R., & Kim, G. (2024). Assessing Ammonia (NH₃) Emissions, Precursor Gas (SO2, NOx) Concentrations, and Source Contributions to Atmospheric PM2.5 from a Commercial Manure Composting Facility. Applied Sciences, 14(23), 11467. https://doi.org/10.3390/app142311467

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