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DOI10.5194/acp-20-4275-2020
Quantification and evaluation of atmospheric ammonia emissions with different methods: a case study for the Yangtze River Delta region, China
Zhao, Yu1,2,3; Yuan, Mengchen1,2; Huang, Xin4; Chen, Feng5; Zhang, Jie5
2020-04-09
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2020
卷号20期号:7页码:4275-4294
文章类型Article
语种英语
国家Peoples R China
英文摘要

To explore the effects of data and method on emission estimation, two inventories of NH3 emissions of the Yangtze River Delta (YRD) region in eastern China were developed for 2014 based on constant emission factors (E1) and those characterizing agricultural processes (E2). The latter derived the monthly emission factors and activity data integrating the local information of soil, meteorology, and agricultural processes. The total emissions were calculated to be 1765 and 1067 Gg with E1 and E2, respectively, and clear differences existed in seasonal and spatial distributions. Elevated emissions were found in March and September in E2, attributed largely to the increased top dressing fertilization and to the enhanced NH3 volatilization under high temperature, respectively. A relatively large discrepancy between the inventories existed in the northern YRD with abundant croplands. With the estimated emissions 38% smaller in E2, the average of simulated NH3 concentrations with an air quality model using E2 was 27% smaller than that using E1 at two ground sites in the YRD. At the suburban site in Pudong, Shanghai (SHPD), the simulated NH3 concentrations with E1 were generally larger than observations, and the modeling performance was improved, indicated by the smaller normalized mean errors (NMEs) when E2 was applied. In contrast, very limited improvement was found at the urban site JSPAES, as E2 failed to improve the emission estimation of transportation and residential activities. Compared to NH3, the modeling performance for inorganic aerosols was better for most cases, and the differences between the simulated concentrations with E1 and E2 were clearly smaller, at 7 %, 3 %, and 12% (relative to E1) for NH4+, SO42-, and NO3-, respectively. Compared to the satellite-derived NH3 column, application of E2 significantly corrected the overestimation in vertical column density for January and October with E1, but it did not improve the model performance for July. The NH3 emissions might be underestimated with the assumption of linear correlation between NH3 volatilization and soil pH for acidic soil, particularly in warm seasons. Three additional cases, i.e., 40% abatement of SO2, 40% abatement of NOx, and 40% abatement of both species, were applied to test the sensitivity of NH3 and inorganic aerosol concentrations to precursor emissions. Under an NH3-rich condition, estimation of SO2 emissions was detected to be more effective on simulation of secondary inorganic aerosols compared to NH3. Reduced SO2 would restrain the formation of (NH4)(2)SO4 and thereby enhance the NH3 concentrations. To improve the air quality more effectively and efficiently, NH3 emissions should be substantially controlled along with SO2 and NOx in the future.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000526031300004
WOS关键词INORGANIC AEROSOLS ; BOTTOM-UP ; MODEL ; INVENTORY ; POLLUTION ; GASES ; NH3 ; NITROGEN ; SULFATE ; IMPACT
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/278742
专题地球科学
作者单位1.Nanjing Univ, State Key Lab Pollut Control & Resource Reuse, 163 Xianlin Ave, Nanjing 210023, Jiangsu, Peoples R China;
2.Nanjing Univ, Sch Environm, 163 Xianlin Ave, Nanjing 210023, Jiangsu, Peoples R China;
3.Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Nanjing 210044, Jiangsu, Peoples R China;
4.Nanjing Univ, Sch Atmospher Sci, 163 Xianlin Ave, Nanjing 210023, Jiangsu, Peoples R China;
5.Jiangsu Prov Acad Environm Sci, 176 North Jiangdong Rd, Nanjing 210036, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Yu,Yuan, Mengchen,Huang, Xin,et al. Quantification and evaluation of atmospheric ammonia emissions with different methods: a case study for the Yangtze River Delta region, China[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2020,20(7):4275-4294.
APA Zhao, Yu,Yuan, Mengchen,Huang, Xin,Chen, Feng,&Zhang, Jie.(2020).Quantification and evaluation of atmospheric ammonia emissions with different methods: a case study for the Yangtze River Delta region, China.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(7),4275-4294.
MLA Zhao, Yu,et al."Quantification and evaluation of atmospheric ammonia emissions with different methods: a case study for the Yangtze River Delta region, China".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.7(2020):4275-4294.
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