Spatio-temporal distribution of six pollutants and potential sources in the Hexi Corridor, Northwest China
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Spatio-temporal distribution of six pollutants and potential sources in the Hexi Corridor, Northwest China Ying Wang & Chuang Qin & Yang Liu & Han Zhang & Sitong Wang
Received: 18 May 2020 / Accepted: 31 August 2020 # Springer Nature Switzerland AG 2020
Abstract Particulate matter (PM) concentrations are affected by anthropogenic emissions and sand transport jointly; however, the relative contributions from those two aspects are usually unknown. In our work, statistical analysis and back trajectories model were used to identify the dominant source in such area, by taking Yumen City as an example. We come to the conclusion that local emissions dominate the concentration of airborne pollutants, while sand transport plays a significant role on PM concentration. The conclusions were supported by the following results. (1) PM monthly mean concentrations at the two air quality stations, which are 70 km far away from each other, have the similar levels and variation trend; furthermore, a regression analysis of PM2.5 and PM10 daily concentrations between both stations indicated a significant correlation, suggesting that PM at both locations was influenced by the same emission sources; (2) statistical analysis results revealed that PM concentration has a positive correlation with wind speed, indicating the wind-blown dust and sand contribute mainly on PM concentration; (3) backtrajectory clustering analysis indicates that longdistance transport particulates from dust sources and
Y. Wang Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China Y. Wang (*) : C. Qin : Y. Liu : H. Zhang : S. Wang College of Atmospheric Sciences, Lanzhou University, Lanzhou, China e-mail: [email protected]
their pathways had a significant impact on local PM concentrations. Keywords Air pollutant concentration . Meteorological parameter . Rotated principal component analysis . Dust transport . Dominant source
Introduction Air pollution is a major environmental risk to human health. Many developing countries are experiencing an ongoing degradation in air quality due to rising anthropogenic emissions related to rapid economic development and higher motor vehicle usage. Particulate matter (PM) has become the primary atmospheric pollutant in most Chinese cities; a 2018 Chinese report showed that 64.2% of the 338 cities studied exceeded the Chinese Ambient Air Quality Standard (CAAQS) with 60% of pollution days attributed to PM2.5 and 37.2% to PM10 (http://www.mee.gov.cn/xxgk2018/xxgk/xxgk15 /201912/t20191231_754139.html). China has taken many actions at the national level to improve air quality. In 2013, the State Council issued a five-year action plan that implemented a stringent nationwide emission-source reduction programme aimed at encouraging green energy, optimising the structure of the industrial sector, enhancing energy efficiency, and eliminating local point-source pollution. This initiative resulted in a 22.7% decrease in annual average PM10 mass con
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