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. 2020 Jul:251:126342.
doi: 10.1016/j.chemosphere.2020.126342. Epub 2020 Feb 27.

High-resolution anthropogenic ammonia emission inventory for the Yangtze River Delta, China

Xingna Yu  1 , Li Shen  2 , Xinhong Hou  3 , Liang Yuan  4 , Yuepeng Pan  5 , Junlin An  3 , Shuqi Yan  3
Affiliations

High-resolution anthropogenic ammonia emission inventory for the Yangtze River Delta, China

Xingna Yu et al. Chemosphere. 2020 Jul.

Abstract

The Yangtze River Delta (YRD) is one of the regions with air pollution and high ammonia (NH3) emission in China. A high-resolution ammonia emission inventory for the YRD region was developed based on the updated source-specific emission factor (EFs) and the county-level activity data. The 1 × 1 km gridded emissions were allocated by using the appropriate spatial surrogate. The total NH3 emissions changed insignificantly from 2006 to 2014 and varied in the range of 981.65 kt - 1014.30 kt. The fertilizer application and livestock were the major contributors of total emission. Humans, biomass burning and vehicles were the top three contributors of non-agricultural sources, accounting for 37.24%, 31.02% and 10.85%, respectively. Vehicles were calculated to be the non-agricultural source with the fastest annual growth rate. NH3 emissions from the nitrogen fertilizer application generally peaked in summer, corresponding to the planting schedule and relatively high temperature. High NH3 emissions occurred in the north as opposed to low emissions in the south of the YRD. The cities of Xuzhou, Yancheng and Nantong with more agricultural activities were demonstrated to have relatively high NH3 emissions, contributing 10.0%, 9.0 and 7.1% of total emissions, respectively. The validity of the emission estimates was further evaluated based on the uncertainty analysis by Monte Carlo simulation, comparison with previous studies, and correlation analysis between NH3 emission density and observed ground NH3 concentration. A detailed NH3 emission inventory is the basis of regional-scale air quality model simulation and can provide valuable information for understanding the formation mechanism of pollutants.

Keywords: Ammonia (NH(3)); Emission inventory; Evaluation; Spatial distribution.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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