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[长江经济带颗粒物浓度分布演变及其影响因素]

[Evolution of the Distribution of PM Concentration in the Yangtze River Economic Belt and Its Influencing Factors].

作者信息

Huang Xiao-Gang, Zhao Jing-Bo, Cao Jun-Ji, Xin Wei-Dong

机构信息

College of Geographical Sciences, Shanxi Normal University, Linfen 041004, China.

Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China.

出版信息

Huan Jing Ke Xue. 2020 Mar 8;41(3):1013-1024. doi: 10.13227/j.hjkx.201906158.

Abstract

Intensive social and economic activity has led to serious pollution in the Yangtze River economic belt since 2000. It is urgent to study the evolution of the distribution of PM concentration and its influencing factors in this area, to adopt new ways of development into practice and promote comprehensive regional air pollution prevention and control. Based on PM concentration estimated by remote sensing retrieval, this paper studied the evolution of the distribution of PM concentration in the Yangtze River economic belt from 2000 to 2016, and analyzed spatial non-stationarity of the influence of natural and socio-economic factors on this evolution via a geographically weighted regression model. The results showed that:①The general law of PM concentration presented as higher in the east and lower in the west, with a significant trait of the pollution agglomerations corresponding to urban agglomerations. ②Taking the year 2007 as a divide, annual concentration of PM went through a pattern of annually increasing from 2000 to 2007. and then wavelike decreasing from 2007 to 2016. The annual average concentration increased to 44.1 μg·m in 2007 from the record of 27.2 μg·m in 2000, and then decreased to 33.6 μg·m in 2016. In terms of regions polluted, before 2007, it covered areas including the Yangtze River Delta urban agglomerations, the Yangtze River Middle Reaches urban agglomerations, and the Chengdu-Chongqing urban agglomerations, before quickly stretching to their neighboring areas; after 2007, the extent of areas covered shrank. ③Based on spatial auto-correlation analysis, PM concentration had a significant spatial auto-correlation with hot spots spread over Shanghai, Jiangsu, north-central Anhui, northern Zhejiang, and the central part of Hubei, while cool spots were located in Yunnan, the western and southern parts of Sichuan, and the western part of Guizhou. ④There is a space-time discrepancy by socio-economic and natural factors in the distribution of PM concentration. The socio-economic factors mainly have a positive influence on the concentration, whereas precipitation, one of the natural factors, has a negative influence. The remaining natural factors not only varied in their degree of influence, but also triggered the influence either in a positive or negative manner from time to time and space to space.

摘要

自2000年以来,密集的社会经济活动导致长江经济带出现了严重污染。研究该地区PM浓度分布演变及其影响因素,将新的发展方式付诸实践并推动区域大气污染综合防治已刻不容缓。基于遥感反演估算的PM浓度,本文研究了2000—2016年长江经济带PM浓度分布演变,并通过地理加权回归模型分析了自然和社会经济因素对该演变影响的空间非平稳性。结果表明:①PM浓度总体规律为东高西低,呈现出与城市群对应的污染集聚特征。②以2007年为界,PM年均浓度在2000—2007年呈逐年上升趋势,2007—2016年呈波动下降趋势。年均浓度从2000年的27.2 μg·m上升至2007年的44.1 μg·m,随后降至2016年的33.6 μg·m。在污染区域方面,2007年以前,污染区域包括长江三角洲城市群、长江中游城市群和成渝城市群,并迅速向周边地区蔓延;2007年以后,污染覆盖范围缩小。③基于空间自相关分析,PM浓度存在显著的空间自相关性,热点分布在上海、江苏、安徽中北部、浙江北部和湖北中部,冷点位于云南、四川西部和南部以及贵州西部。④PM浓度分布在社会经济和自然因素方面存在时空差异。社会经济因素主要对浓度有正向影响,而自然因素之一的降水有负向影响。其余自然因素不仅影响程度各异,而且在时空上时而产生正向影响,时而产生负向影响。

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