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四川省大气污染空间分异特征研究

边敏娟 刘阳 米莎 徐杰峰 张娟

四川环境2017,Vol.36Issue(5):76-81,6.
四川环境2017,Vol.36Issue(5):76-81,6.

四川省大气污染空间分异特征研究

Study on the Spatial Differential Features of Atmospheric Pollution in Sichuan

边敏娟 1刘阳 1米莎 1徐杰峰 1张娟1

作者信息

  • 1. 核工业二○三研究所环境评价中心,陕西咸阳712000
  • 折叠

摘要

Abstract

Using the spatial statistical analysis tools of GIS,this paper analyzed the spatial differential features of three main atmospheric pollutants—SO2、NO2 and PM10.With the conclusion that atmospheric pollutants present an uneven spatial distribution in Sichuan city,especially along the direction of northeast and southwest,and the weighted mean centers of SO2、NO2 和 PM10,which are all fell in the full district,are far away from the weighted mean center of geometry,which is unbalanced.Generally,the distribution of NO2 and SO2 belong to clustered pattern with a strong spatial autocorrelation.The distribution of PM10 presents a random pattern,which has a weak spatial autocorrelation.The analysis of local correlation shows that the atmospheric pollutants in most of cities have weak correlations,SO2 and NO2 have the similar distribution of autocorrelation.The local autocorrelation of PM10 has a significant difference from the other two pollutants.Through analyzing the change of the trajectory in the pollution center of gravity from 2001 to 2010,the results display pollution centers turn towards southwest and move towards the direction of the low latitude and longitude,and the maximum of the offset is the center of SO2.The change rate of the concentration showed significant reduction of PM10 in all cities,the reduction of SO2 is large in some regions,but for NO2,the the reduction rate is about 23.81%,the overall reduction is small.

关键词

GIS/空间分异/空间统计/浓度变化率

Key words

Geographic information system/spatial differential features/spatial statistic/the change rate of concentration

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引用本文复制引用

边敏娟,刘阳,米莎,徐杰峰,张娟..四川省大气污染空间分异特征研究[J].四川环境,2017,36(5):76-81,6.

四川环境

OACSTPCD

1001-3644

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