An inventory of the emission of ammonia from agricultural fertilizer application in China for 2010 and its high-resolution spatial distribution

Xu, Ping; Zhang, Yisheng; Gong, Weiwei; Hou, Xueling; Kroeze, Carolien; Gao, Wei; Luan, Sheng

doi:10.1016/j.atmosenv.2015.05.020

Cited by 84 publications

(39 citation statements)

References 43 publications

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“…We found the maximum ground NH3 concentrations over China occurred in summer (June, July, and August), followed by spring (March, April, and May), autumn (September, October, and November) and winter (December, January, and February) seasons. It is interesting that the seasonal ground NH3 concentrations were in agreement with the seasonal patterns of NH3 emissions in China conducted by Kang et al [36], Huang et al [35], and Xu et al [37] (Figure 6b-d), indicating that the NH3 emissions are the key factor influencing seasonal pattern of the ground NH3 concentrations. The maximum NH3 emissions in summer is reasonable due to more than 40% of the fertilization and more than 25% of livestock emissions occurring in summer [36,37].…”

Section: Seasonal Variations Of the Ground Nh3 Concentrations In Chinasupporting

confidence: 73%

“…It is interesting that the seasonal ground NH3 concentrations were in agreement with the seasonal patterns of NH3 emissions in China conducted by Kang et al [36], Huang et al [35], and Xu et al [37] (Figure 6b-d), indicating that the NH3 emissions are the key factor influencing seasonal pattern of the ground NH3 concentrations. The maximum NH3 emissions in summer is reasonable due to more than 40% of the fertilization and more than 25% of livestock emissions occurring in summer [36,37]. In addition, high temperature in summer in China may also accelerate the NH3 volatilization (NH4 + →NH3 + H + ) from fertilizer, animal waste, city garbage or vehicles [6,[38][39][40], and hence cause high ground NH3 concentrations.…”

Section: Seasonal Variations Of the Ground Nh3 Concentrations In Chinasupporting

confidence: 73%

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Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Liu

Zhang

et al. 2017

Remote Sensing

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Abstract:As a primary basic gas in the atmosphere, atmospheric ammonia (NH 3 ) plays an important role in determining air quality, environmental degradation, and climate change. However, the limited ground observation currently presents a barrier to estimating ground NH 3 concentrations on a regional scale, thus preventing a full understanding of the atmospheric processes in which this trace gas is involved. This study estimated the ground NH 3 concentrations over China, combining the Infrared Atmospheric Sounding Interferometer (IASI) satellite NH 3 columns and NH 3 profiles from an atmospheric chemistry transport model (CTM). The estimated ground NH 3 concentrations showed agreement with the variability in annual ground NH 3 measurements from the Chinese Nationwide Nitrogen Deposition Monitoring Network (NNDMN). Great spatial heterogeneity of ground NH 3 concentrations was found across China, and high ground NH 3 concentrations were found in Northern China, Southeastern China, and some areas in Xinjiang Province. The maximum ground NH 3 concentrations over China occurred in summer, followed by spring, autumn, and winter seasons, which were in agreement with the seasonal patterns of NH 3 emissions in China. This study suggested that a combination of NH 3 profiles from CTMs and NH 3 columns from satellite obtained reliable ground NH 3 concentrations over China.

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Section: Seasonal Variations Of the Ground Nh3 Concentrations In Chinasupporting

confidence: 73%

Section: Seasonal Variations Of the Ground Nh3 Concentrations In Chinasupporting

confidence: 73%

Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Liu

Zhang

et al. 2017

Remote Sensing

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“…This conclusion was also drawn by Liu et al, who obtained ground NH 3 concentrations in China based on satellite column density using a CTM [60]. Moreover, Liu et al concluded that the seasonal ground NH 3 concentrations were in agreement with the seasonal patterns of NH 3 emissions in China indicated by Kang et al [61], Huang et al [62], and Xu et al [63]. As shown in Figure 7, our seasonal patterns do not conform to those reported in the abovementioned studies but are well consistent with the estimations reported by Geng et al It is likely that the discrepancies in seasonal characteristics are attributed to the following factors.…”

Section: Seasonal Variations In Pm 25 Chemical Componentssupporting

confidence: 67%

Estimation of Satellite-Based SO42− and NH4+ Composition of Ambient Fine Particulate Matter over China Using Chemical Transport Model

Chen

et al. 2017

Remote Sensing

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Abstract:Epidemiologic and health impact studies have examined the chemical composition of ambient PM 2.5 in China but have been constrained by the paucity of long-term ground measurements. Using the GEOS-Chem chemical transport model and satellite-derived PM 2.5 data, sulfate and ammonium levels were estimated over China from 2004 to 2014. A comparison of the satellite-estimated dataset with model simulations based on ground measurements obtained from the literature indicated our results are more accurate. Using satellite-derived PM 2.5 data with a spatial resolution of 0.1 × 0.1 • , we further presented finer satellite-estimated sulfate and ammonium concentrations in anthropogenic polluted regions, including the NCP (the North China Plain), the SCB (the Sichuan Basin) and the PRD (the Pearl River Delta). Linear regression results obtained on a national scale yielded an r value of 0.62, NMB of −35.9%, NME of 48.2%, ARB_50% of 53.68% for sulfate and an r value of 0.63, slope of 0.67, and intercept of 5.14 for ammonium. In typical regions, the satellite-derived dataset was significantly robust. Based on the satellite-derived dataset, the spatial-temporal variation of 11-year annual average satellite-derived SO −0.61%; NH 4 + : −0.21%), large values were mainly concentrated in the NCP and SCB. For regions captured at a finer resolution, the inter-annual variation trends presented a positive trend over the periods 2004-2007 and 2008-2011, followed by a negative trend over the period 2012-2014, and sulfate concentrations varied appreciably. Moreover, the seasonal distributions of the 11-year satellite-derived dataset over China were presented. The distribution of both sulfate and ammonium concentrations exhibited seasonal characteristics, with the seasonal concentrations ranking as follows: winter > summer > autumn > spring. High concentrations of these species were concentrated in the NCP and SCB, originating from coal-fired power plants and agricultural activities, respectively. Efforts to reduce sulfur dioxide (SO 2 ) emissions have yielded remarkable results since the government has adopted stricter control measures in recent years. Moreover, ammonia emissions should be controlled while reducing the concentration of sulfur, nitrogen and particulate matter. This study provides an assessment of the population's exposure to certain chemical components.

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“…2.1 for the East Asia domain, as reported by Kurokawa et al (2013). The NH 3 emission of REAS was modified to include seasonal variations for Asia based on recommendations by Huang et al (2012) and Xu et al (2015). The model simulation was conducted from the beginning of December 2014 to the end of June 2015, and the first month results were used as model spin-up.…”

Section: Numerical Modelingmentioning

confidence: 99%

Importance of Long-Range Nitrate Transport Based on Long-Term Observation and Modeling of Dust and Pollutants over East Asia

Uno

Osada

Yumimoto

et al. 2017

Aerosol Air Qual. Res.

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Long-term synergetic fine and coarse mode aerosol observations were analyzed at 1-h intervals at Fukuoka, Japan, from January to June 2015. The GEOS-Chem chemical transport model, including dust and sea-salt acid uptake processes, was used for detailed analysis of observation data. Several Asian dust events and long-range anthropogenic aerosol transport events were observed during our analysis period, and the numerical model generally explained the observed time variation for both fine and coarse mode aerosols. We found that (i) the majority of fine mode NO 3 -can be considered as long-range transport (LRT) outside of Japan during the cold season, and (ii) the peak timing of fine mode NO 3 -coincided with that of SO 4 -, indicating that both aerosols are controlled by LRT. Also, an observed mass concentration ratio of NO 3 -/SO 4 2-> 0.9 occurred during the cold season, indicating the importance of NO 3 -as a major contributor to the PM 2.5 mass fraction. Finally, we clearly showed that large-scale dust-nitrate outflow from China to Fukuoka was confirmed in all cases of dust events, indicating that the anthropogenic NO x is converted to dust-nitrate and transported to Japan with dust. These results demonstrate the importance of anthropogenic NO 3 -LRT during the cold season and dust-nitrate LRT for all dust events (even in June).

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An inventory of the emission of ammonia from agricultural fertilizer application in China for 2010 and its high-resolution spatial distribution

Cited by 84 publications

References 43 publications

Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling

Estimation of Satellite-Based SO42− and NH4+ Composition of Ambient Fine Particulate Matter over China Using Chemical Transport Model

Importance of Long-Range Nitrate Transport Based on Long-Term Observation and Modeling of Dust and Pollutants over East Asia

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