基于TROPOMI的淮河流域大气NO<sub>2</sub>干沉降估算

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Abstract Based on Sentinel-5P TROPOMI, we retrieved the surface NO₂ concentration in the Huaihe River Basin (HRB) during 2018~2020 by using random forest (RF), and the estimation method was used to obtain the dry deposition flux of NO₂. We then divided the HRB into four areas (water, agriculture, urban, and vegetation) to estimate the nitrogen contribution of atmospheric NO₂ dry deposition to the HRB water. The results show that the model simulation result is in good agreement with the measured data, achieving a correlation coefficient (R) of 0.94, a mean absolute error (MAE) of 2.7, and a root mean square error (RSME) of 4.1 in surface NO₂ estimation. There is a clear seasonal variation in the NO₂ dry deposition flux and surface NO₂ concentration in the HRB. The average surface NO₂ concentration in spring, summer, autumn, and winter was 13.7, 12.2, 17.6, 23.1µg/m³; the average dry deposition flux of NO₂ was 1.25, 1.13, 1.61, 2.13kg N/(hm²·a). The surface NO₂ concentration and dry deposition flux in HRB are higher in the north and south, and lower in the east and west. NO₂ dry deposition in agriculture was a major contributor with 83.47%. In 2019, the overall atmospheric NO₂ dry deposition in HRB was 1.34×10⁵t, and its contribution to water nitrogen was 1.36×10⁴t N; In 2020, the overall atmospheric NO₂ dry deposition was 1.25×10⁵t, and the contribution of NO₂ to water nitrogen is 1.18×10⁴t N.

Key words： NO₂ dry deposition TROPOMI random forest Huaihe River Basin nitrogen contribution

Received: 05 September 2023

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X511

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	LIU Jia-yu
	WANG Yu
	QIU Zhong-feng
	ZHAO Dong-zhi
	TIAN Ye
	WU Yan
	ZHANG Yuan-zhi

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LIU Jia-yu,WANG Yu,QIU Zhong-feng等. Estimation of atmospheric NO₂dry deposition in Huaihe River Basin based on TROPOMI[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(4): 1966-1974.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I4/1966

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