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Analysis of the space-time characteristics and causes of the atmospheric pollution in Shandong Province |
LIU Yanrong1, HAN Mei1, NI Juan2, LU Shaoyong3 |
1. Institute of Geography and Environment, Shandong Normal University, Jinan 250014, China;
2. Shandong Urban Construction Vocational College, Jinan 250014, China;
3. Chinese Research Acaemy of Environmental Sciences, Beijing 100012, China |
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Abstract: The atmospheric routine monitoring data are used to analyze the characteristics of air pollution in 2014 in Shandong Province. From the point of view of the spatial distribution, the air pollution in Zibo, Jinan, Zaozhuang is the most serious as compared with other cities, while Rizhao, Qingdao, Weihai and other cities are under the lightest pollution condition, the pollution degree of the eastern coastal cities is significantly lighter than that of the inland cities; the compliance with respect to SO2 among various cities is greater than 50%, which is a bit better than those with respect to all other pollutants, whose compliance rates are relatively low, and the compliance rate of PM2.5 of all cities do not satisfy the air quality standard. From the point of view of the time distribution, the concentration of pollutant concentration is high in winter and low in summer; the concentrations of PM10 and NO2 in March see a small peak; the concentrations of SO2 and NO2 increase slightly in August; as seen from the full year, the NO2 pollutant emission concentration changes but little. This pollution situation is mainly related to the natural factors and the factors of human beings, with natural factors including the terrain, the climate, and the meteorology, and the factors of human beings including the policy, the supervision and management, the industrial emissions, the motor vehicle emissions, the resident living conditions and other factors. Through the gray correlation analysis, the correlation of the energy consumption is the largest with respect to the pollutant distribution, and the correlation of the wind speed is the largest with respect to the time distribution of pollutants.
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Received: 20 January 2016
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