Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Operations & Customer Center, China Eastern Airlines Corporation Limited, Shanghai, 201100, China.
Chemosphere. 2020 Jul;251:126342. doi: 10.1016/j.chemosphere.2020.126342. Epub 2020 Feb 27.
The Yangtze River Delta (YRD) is one of the regions with air pollution and high ammonia (NH) 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 NH 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. NH emissions from the nitrogen fertilizer application generally peaked in summer, corresponding to the planting schedule and relatively high temperature. High NH 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 NH 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 NH emission density and observed ground NH concentration. A detailed NH emission inventory is the basis of regional-scale air quality model simulation and can provide valuable information for understanding the formation mechanism of pollutants.
长三角(YRD)是中国空气污染和高氨(NH)排放的地区之一。本研究基于更新后的源特定排放因子(EFs)和县级活动数据,开发了长三角地区高分辨率氨排放清单。采用合适的空间替代方法分配了 1×1km 的网格化排放。2006 年至 2014 年,NH 排放量变化不大,范围在 981.65kt-1014.30kt 之间。化肥施用和畜牧业是总排放量的主要贡献者。人类、生物质燃烧和车辆是非农业源的前三大贡献者,分别占 37.24%、31.02%和 10.85%。车辆被计算为非农业源中具有最快年增长率的源。化肥施用产生的 NH 排放一般在夏季达到峰值,这与种植计划和相对较高的温度相对应。长三角北部的 NH 排放较高,而南部的排放较低。农业活动较多的徐州市、盐城市和南通市表现出相对较高的 NH 排放,分别占总排放量的 10.0%、9.0%和 7.1%。通过蒙特卡罗模拟的不确定性分析、与先前研究的比较以及 NH 排放密度与观测到的地面 NH 浓度之间的相关分析,进一步评估了排放估算的有效性。详细的 NH 排放清单是区域空气质量模型模拟的基础,可以为了解污染物的形成机制提供有价值的信息。