大气环境热点网格遥感筛选方法研究

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Abstract

In order to select the atmospheric environment hotspot grids in Beijing-Tianjin-Hebei and its surrounding regions,the monthly haze days and mass concentions of the PM_2.5、NO₂、SO₂ were retrieved using satellite observation. Based on the retrieved results of these four items, firstly, the fractal summation model was used to get the atmospheric background value and the standard for the study areas. Secondly, a kind of comprehensive pollution index of atmospheric environment remote sensing was developed by using of the ORAQI calculation method. Then the hotspot grids were selected out from the spatial distribution of the annual averaged comprehensive pollution index of atmospheric environment remote sensing.Finally, the situation of the industrial land in each hotspot grid were discussed using high resolution satellite data.The results showed that the local spatial distribution of the yearly haze days and annual mass concentions of the PM_2.5、NO₂、SO₂ varied considerably. And the main air pollutants in different parts were quite different and had the characteristics of complexed pollution. The atmospheric background values of monthly haze days and averaged mass concentions of the PM_2.5、NO₂、SO₂ were 10.7days、57.5μg/m³、515.7×10¹³mole/cm² and 0.29DU respectively, when the standard values were 22.2days、112.2μg/m³、2073.1×10¹³mole/cm² and 0.64DU.The comprehensive pollution index of atmospheric environment remote sensing showed that the most serious air polluted areas were distributed in central Baoding, north of Shijiazhuang,the south of Xingtai and the northern border of Handan. Then total 1782 hotspot grids were selected out from the spatial distribution of the annual averaged comprehensive pollution index of atmospheric environment remote sensing, including large proportion of small-scale industrial land area, which showed the emissions of small enterprises had a great influence on the local air quality.

Key words： remote sensing ORAQI The comprehensive pollution index of atmospheric environment remote sensing hotspot grid

Received: 10 November 2017

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	Articles by authors
	CHEN Hui
	WANG Qiao
	LI Qing
	WANG Zhong-ting
	MA Peng-fei
	ZHOU Chun-yan
	MAO Hui-qin

Cite this article:

CHEN Hui,WANG Qiao,LI Qing等. Research on the Method for remote sensing Screening of atmospheric environment hotspot grid[J]. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(7): 2461-2470.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2018/V38/I7/2461

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