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长三角农业源大气污染物排放特征和变化趋势

Atmospheric Pollutant Emissions from Agricultural Sources in the Yangtze River Delta Region

  • 摘要: 为系统揭示长三角地区农业源大气污染排放特征,本研究构建了2012-2018年涵盖农业机械、农田土壤扬尘、农田土壤NO、露天秸秆燃烧与农业氨的4 km高分辨率综合性农业源排放清单。结果表明,农业源PM10、PM2.5、THC、NOx、CO、SO2、NH3的年均排放量分别为61.5 Gg yr-154.1 Gg yr-174.2 Gg yr-1258.2 Gg yr-1644.0 Gg yr-14.8 Gg yr-11302.2 Gg yr-1空间上,高度集中于苏北、皖北农业区;时间上,呈现夏秋高冬春低的特征。2012-2018年间,所有污染物排放量均呈下降趋势,其中PM10、PM2.5、CO和THC急剧下降,降幅73.1%-84.5%,主要归因于秸秆禁烧政策的有效实施;SO?和NO?快速下降但略缓于第一类(降幅分别为60.8%和48.7%);NH?则缓慢平稳下降(降幅16.1%)。同时,农业源排放结构发生显著转变,农业机械取代秸秆焚烧成为PM10、PM2.5、NO?、CO、THC和SO2的首要贡献源,且其对NO?的贡献率始终保持在80%以上;农田土壤扬尘与土壤NO排放的贡献显著上升。研究结果为大气污染治理提供科学依据和数据支撑。

     

    Abstract: To systematically reveal the characteristics of atmospheric pollutant emissions from agricultural sources in the Yangtze River Delta region, this study developed a comprehensive 4 km high-resolution agricultural emission inventory for the period 2012-2018, covering agricultural machinery, farmland soil dust, farmland soil NO, open straw burning, and agricultural ammonia. The results show that the annual average emissions of agricultural PM10, PM2.5, THC, NOx, CO, SO2, and NH3 were 61.5 Gg yr-1, 54.1 Gg yr-1, 74.2 Gg yr-1, 258.2 Gg yr-1, 644.0 Gg yr-1, 4.8 Gg yr-1, and 1302.2 Gg yr-1, respectively. Spatially, emissions were highly concentrated in the agricultural areas of northern Jiangsu and northern Anhui. Temporally, emissions showed a pattern of higher levels in summer and autumn and lower levels in winter and spring. From 2012 to 2018, emissions of all pollutants showed a declining trend: PM10, PM2.5, CO, and THC decreased sharply by 73.1%–84.5%, mainly attributable to the effective implementation of straw burning bans; SO2 and NO? declined rapidly but slightly more slowly than the first group (by 60.8% and 48.7%, respectively); NH3 decreased slowly and steadily (by 16.1%). Meanwhile, the structure of agricultural emissions underwent significant transformation, with agricultural machinery replacing straw burning as the primary contributor to PM10, PM2.5, NOx, CO, THC, and SO2, and its contribution to NO? consistently remained above 80%. The contributions from farmland soil dust and soil NO emissions increased significantly. The study results provide a scientific basis and data support for atmospheric pollution control.

     

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