AQI(A ir Quality lndex,空气质量指数)是一套目前在国际上被广泛应用的大气环境质量评价体系,本文采用这一体系对呼和浩特市的空气质量进行了评价。根据2003年的监测数据,分析了本市2003年的大气环境现状及季节变化趋势;利用1990-2003...AQI(A ir Quality lndex,空气质量指数)是一套目前在国际上被广泛应用的大气环境质量评价体系,本文采用这一体系对呼和浩特市的空气质量进行了评价。根据2003年的监测数据,分析了本市2003年的大气环境现状及季节变化趋势;利用1990-2003年14年间的空气中污染物年均值,分析了本市大气环境质量的年际变化趋势。其结论为:呼和浩特市空气的主要污染因子为TSP,而且空气质量虽在逐渐好转,但仍然基本处于“不健康”的状态,因此,需要政府继续采取措施进一步改善。展开更多
Urban air pollution is a prominent problem related to the urban development in China, especially in the densely populated urban agglomerations. Therefore, scientific examination of regional variation of air quality an...Urban air pollution is a prominent problem related to the urban development in China, especially in the densely populated urban agglomerations. Therefore, scientific examination of regional variation of air quality and its dominant factors is of great importance to regional environmental management. In contrast to traditional air pollution researches which only concentrate on a single year or a single pollutant, this paper analyses spatiotemporal patterns and determinants of air quality in disparate regions based on the air quality index(AQI) of the Yangtze River Delta region(YRD) of China from 2014 to 2016. Results show that the annual average value of the AQI in the YRD region decreases from 2014 to 2016 and exhibit a basic characteristic of ‘higher in winter, lower in summer and slightly high in spring and autumn'. The attainment rate of the AQI shows an apparently spatial stratified heterogeneity, Hefei metropolitan area and Nanjing metropolitan area keeping the worst air quality. The frequency of air pollution occurring in large regions was gradually decreasing during the study period. Drawing from entropy method analysis, industrialization and urbanization represented by per capita GDP and total energy consumption were the most important factors. Furthermore, population agglomeration is a factor that cannot be ignored especially in some mega-cities. Limited to data collection, more research is needed to gain insight into the spatiotemporal pattern and influence mechanism in the future.展开更多
文摘AQI(A ir Quality lndex,空气质量指数)是一套目前在国际上被广泛应用的大气环境质量评价体系,本文采用这一体系对呼和浩特市的空气质量进行了评价。根据2003年的监测数据,分析了本市2003年的大气环境现状及季节变化趋势;利用1990-2003年14年间的空气中污染物年均值,分析了本市大气环境质量的年际变化趋势。其结论为:呼和浩特市空气的主要污染因子为TSP,而且空气质量虽在逐渐好转,但仍然基本处于“不健康”的状态,因此,需要政府继续采取措施进一步改善。
基金Under the auspices of Key Projects of the National Social Science Fund(No.16AJL015)Youth Project of Natural Science Foundation of Jiangsu Province(No.BK20170440)+1 种基金Open Foundation of Key Laboratory of Watershed Geographical Science(No.WSGS2017004)Project of Nantong Key Laboratory(No.CP12016005)
文摘Urban air pollution is a prominent problem related to the urban development in China, especially in the densely populated urban agglomerations. Therefore, scientific examination of regional variation of air quality and its dominant factors is of great importance to regional environmental management. In contrast to traditional air pollution researches which only concentrate on a single year or a single pollutant, this paper analyses spatiotemporal patterns and determinants of air quality in disparate regions based on the air quality index(AQI) of the Yangtze River Delta region(YRD) of China from 2014 to 2016. Results show that the annual average value of the AQI in the YRD region decreases from 2014 to 2016 and exhibit a basic characteristic of ‘higher in winter, lower in summer and slightly high in spring and autumn'. The attainment rate of the AQI shows an apparently spatial stratified heterogeneity, Hefei metropolitan area and Nanjing metropolitan area keeping the worst air quality. The frequency of air pollution occurring in large regions was gradually decreasing during the study period. Drawing from entropy method analysis, industrialization and urbanization represented by per capita GDP and total energy consumption were the most important factors. Furthermore, population agglomeration is a factor that cannot be ignored especially in some mega-cities. Limited to data collection, more research is needed to gain insight into the spatiotemporal pattern and influence mechanism in the future.
