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作 者:Jianghui WANG Peng ZHOU Yichen LIN Longhao ZHANG Mengyu WU
机构地区:[1]School of Civil Engineering and Architecture,Wuhan Institute of Technology,Wuhan 430074,China
出 处:《Meteorological and Environmental Research》2022年第1期21-25,共5页气象与环境研究(英文版)
基 金:Supported by the National Natural Science Foundation of China(51808413);General Project of Hubei Social Science Fund(Later Funded Project)(2020158);Innovation and Entrepreneurship Training Program for College Students in Hubei Province(S202010490027)。
摘 要:With the rapid development of China's economy,people's demand for a healthy living environment is increasing,and air quality has gradually been widely concerned by all sectors of society.Using the big data of air quality monitoring from 1998 to 2016,based on the exploratory spatio-temporal analysis method,this paper explored the spatio-temporal evolution of PM_(2.5) at the national scale,and drew the following conclusions:①PM_(2.5) heavy pollution is mainly in central and eastern China,north and south China,and the pollution degree is relatively light in northwest and northeast China.Meanwhile,PM_(2.5) concentration in heavily polluted areas increased significantly over time,while PM_(2.5) concentration in low-polluted areas showed a long-term stable trend.②The number and area of cities with moderate and high PM_(2.5) pollution levels showed an inverted U-shaped curve from 1998 to 2016,and 2007 was the inflection point.③The spatial autocorrelation coefficient of PM_(2.5) is high over the years,and the spatial neighbor effect of PM_(2.5) is significant.The high-pollution clusters are mainly concentrated in the Beijing-Tianjin-Hebei region,the Yangtze River Delta and the Pearl River Delta,and the pollution concentration in these three regions has increased rapidly in recent years.It is necessary to focus on joint prevention and control.
关 键 词:PM_(2.5) Temporal and spatial evolution Environmental pollution Spatial autocorrelation
分 类 号:X513[环境科学与工程—环境工程]
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