基于甘肃省卫星遥感的对流层NO<sub>2</sub>时空变化

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Abstract

Based on the NO₂ column concentration data retrieved from OMI satellite remote sensing, the temporal and spatial changes of tropospheric NO₂ column concentration and related influencing factors in Gansu Province in the past 11 years were analyzed. And the HYSPLIT model was used to explore the source of atmospheric pollutants. In terms of spatial distribution, the NO₂ column concentration showed a decreasing trend from the northeast to the southwest in Gansu, and the highest values were mainly distributed in the entire of Qingyang City and a small part of Pingliang City. The NO₂ column concentration value had continuously increased to the highest from 2008 to 2014, and the high value area had gradually expanded; The concentration of NO₂ column fluctuated from 2015 to 2018, and it showed a decreasing trend toward the surrounding area, however, the range of the high value area narrowed in the same term. In terms of temporal distribution, the NO₂ column concentration in tropospheric showed an upward trend from 2008 to 2018. The seasonal mean distribution were:summer > spring > autumn > winter; the NO₂ column concentration peaked from June to August every year, and it started to decline after September, and the lowest point appeared during the year from December to February of the following year. Natural factors contributed the most to the NO₂ column concentration in the study area. High temperature and precipitation were conducive to NO₂ emissions from the soil. However, vegetation coverage had a certain effect on reducing NO₂ concentration.Using the HYSPLIT model, it can be concluded that in July of each year from 2009 to 2018, the external transport route of NO₂ in Qingyang was mainly towards Shanxi.

Key words： concentration of NO₂ column spatial and temporal distribution OMI HYSPLIT model Gansu region

Received: 02 August 2019

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X511

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	Articles by authors
	MA chao
	JU Tian-zhen
	WEN Fei
	WANG Qin-hua
	LI Feng-shuai
	ZHANG Yong-jia
	ZHANG Guo-qiang

Cite this article:

MA chao,JU Tian-zhen,WEN Fei等. Temporal and spatial variation of tropospheric NO₂ based on satellite remote sensing in Gansu Province[J]. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(3): 956-966.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2020/V40/I3/956

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