不同排放源对华东地区PM<sub>2.5</sub>影响的数值模拟

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Abstract The meso-scale meteorology-chemistry coupled model WRF-Chem was used to simulate the contribution of different emission sources in MEIC inventory (industry, power, residential, transportation and agricultural) to PM_2.5 over east China. The conclusions are as follows:Industry contributed about 40%~60% PM_2.5 in spring, summer and autumn, while residential contributes the largest in winter due to the use of scattered coal for heating, with over 50% in the areas such as Shandong, Anhui and Jiangsu province. The contributions from agriculture, power and transportation to PM_2.5 have minor seasonal differences, in which about 20%~30% from agriculture, about 10% from transportation and power plant. It may indicate that we should mainly regulate residential source in winter, and limit the emission of industry and agriculture in other seasons. The contribution of primary PM_2.5 from coal-based industry, residential and power plant are about 50%~60%, and the contribution of NO₃^- and NH₄⁺ from transportation and agriculture could be up to 53% and 93%, respectively. The contribution of SO₄^2- from industry and power plant is only about 5%~15% which is possibly underestimated due to under-predicted sulfate by the model. The contribution of OC from residential, BC from transportation and Na⁺ and Cl^- from all major sources to the total PM_2.5 is about 30%, 15%, and less than 3%, respectively.

Key words： PM_2.5 WRF-Chem MEIC East China

Received: 09 October 2017

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	Articles by authors
	HU Ya-nan
	MA Xiao-yan
	SHA Tong
	GAO Song

Cite this article:

HU Ya-nan,MA Xiao-yan,SHA Tong等. Impact of different emission sources on PM_2.5 over East China based on numerical study[J]. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(5): 1616-1628.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2018/V38/I5/1616

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