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Temporal and spatial variation of NO2 in oasis cities in Xinjiang based on hyperspectral remote sensing technology
Chinese Journal of Environmental Engineering ; 16(11):3784-3795, 2022.
Article in Chinese | Scopus | ID: covidwho-2217603
ABSTRACT
In order to promote the implementation of the "14th Five-Year Plan for the Prevention and Control of Air Pollution in Key Regions”, and to control NO2 pollution in Xinjiang more effectively. Based on hyperspectral remote sensing technology, combined with ground monitoring technology, this paper studies the temporal and spatial changes of NO2 pollutants in valley-type oasis cities in Xinjiang. The research results show that (1) The overall characteristics of NO2 concentration are as follows "Twelfth Five-Year” period > "Eleventh Five-Year” period > "Thirteenth Five-Year” period;the largest decrease (−11.45%) during the "Eleventh Five-Year" period in autumn;During the "Twelfth Five-Year Plan” period, the winter has the largest decrease (−9.74%). In the past 15 years, the center of NO2 pollution concentration in northern Xinjiang was near the Ganquanbao Industrial Park at the junction of the southeastern suburbs of Urumqi and the southwestern part of Changji Prefecture, and the concentration in the study area of southern Xinjiang was near Aksu City. The NO2 concentration in Xinjiang is influenced by both local sources and air mass transport. The potential source areas of northern Xinjiang are mainly distributed in the central part of Xinjiang, mainly through Wuchangshi and other areas. The potential source areas of the southern slope of the Tianshan Mountains are mainly distributed in the southern part of Xinjiang, mainly through the Korla and Aksu areas. During the COVID-19 epidemic, the control of man-made pollution sources has played a significant role in air pollution control. This study can provide data reference for the prevention and control of air pollution in Xinjiang. © 2022 Science Press. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: Chinese Journal: Chinese Journal of Environmental Engineering Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: Chinese Journal: Chinese Journal of Environmental Engineering Year: 2022 Document Type: Article