2015 - 2020年厦门-漳州-泉州地区大气NH3排放清查及其时空变化[j]。

Xiang Li, Shui-Ping Wu, Bing-Qi Jiang, Yi-Jing Liu
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引用次数: 0

摘要

基于厦门-漳州-泉州(XZQ)地区不同类型大气氨(NH3)排放源的区县活动水平数据和修正后的排放因子,建立了2017年空间分辨率为1 km×1 km的氨排放清查表。此外,还分析了2015 - 2020年该地区NH3排放的年际变化。结果表明:2017年XZQ地区NH3排放量为27.40 kt,其中畜禽养殖、农田生态系统、人类排放、燃料燃烧和废物处理分别占总排放量的42.48%、22.04%、14.71%、7.08%和5.69%。NH3排放密度大小顺序为厦门(1.94 t·km-2)>泉州(1.07 t·km-2)>漳州(0.95 t·km-2)。排放密度高值区主要集中在人口密集的沿海城区和畜禽养殖、种植业发达的内陆乡镇地区。NH3排放量的月变化与气温变化规律一致,夏季较高。由于不同城市经济结构和发展水平的差异,2015 - 2020年泉州市NH3排放量呈下降趋势,而厦门市和漳州市氨排放量呈波动趋势。NH3排放强度与人均GDP呈显著负相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Atmospheric NH3 Emission Inventory and Its Tempo-spatial Changes in Xiamen-Zhangzhou-Quanzhou Region from 2015 to 2020].

Based on the district and county activity level data of different types of atmospheric ammonia (NH3) emission sources in the Xiamen-Zhangzhou-Quanzhou (XZQ) Region and the modified emission factors, an ammonia emission inventory with a spatial resolution of 1 km×1 km in 2017 was established. In addition, the annual variations in NH3 emission from 2015 to 2020 in this region were analyzed. The results showed that the emission of NH3 in the XZQ Region in 2017 was 27.40 kt with livestock and poultry breeding, farmland ecosystem, human emission, fuel combustion, and waste treatment accounting for 42.48%, 22.04%, 14.71%, 7.08%, and 5.69% of the total emission, respectively. The order of emission density of NH3 was Xiamen (1.94 t·km-2)>Quanzhou (1.07 t·km-2)>Zhangzhou (0.95 t·km-2). High values of emission density were mainly concentrated in the coastal urban areas with a concentrated population and the inland township areas with developed livestock and poultry breeding and planting industries. The monthly variation in NH3 emissions was consistent with the pattern of temperature change, with high values in summer. Due to the different economic structure and development level in different cities, NH3 emissions in Quanzhou City showed a decline from 2015 to 2020, whereas there were fluctuations in the trends of ammonia emissions in Xiamen and Zhangzhou cities. The relationship between NH3 emission intensity and per capita GDP was significantly negative.

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