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大气污染的空间关联与区域间防控协作--基于全国288个地市工业SO2污染数据的空间统计分析 被引量:17

Spatial Correlation of Air Pollution and Control Cooperation among Different Regions——A Spatial Correlation Analysis of Industrial SO2Pollution Based on 288Nationwide Municipal Data
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摘要 污染物的空间集聚与扩散是污染联防联控的微观现实基础,直接影响到防控协作的路径选择与治理成效。以工业SO_2污染为例,选取全国288个地级市2012年工业SO_2排放量截面数据,通过计算全国工业SO_2污染的全局空间自相关、局部空间自相关、空间核密度及未来空间集聚趋势预测。发现:工业SO_2污染总体呈现多中心、条带状、不均衡的"两带六极"空间集聚特征;通过热点探测模型,发现污染呈现以长江为界北重南轻的空间聚类趋势。根据污染区空间格局和聚类趋势得出了协同防控的空间协作、协同机制构建、分类分级分区管理和管理技术创新等四个方面防控协作的启示。 Spatial agglomeration and diffusion of pollutants are the microscopic basis of the realistic joint between the prevention and the control of pollution,directly affecting path selection and prevention efficiency.This paper selects 288 prefecture-level cities and gets sectional data of the industrial SO_2 emissions from these cities in 2012,then calculates the global spatial autocorrelation,the local spatial autocorrelation,the spatial nucleation density and hot spot detection by the industrial SO_2 pollution of all the country.The study found:1)The spatial agglomeration of industrial SO_2 pollution presents the features of multi-center,strip,and uneven'two-belt six-pole';2)The pollution presents the spatial clustering trend of'North serious while South light',with the Yangtze River being the boundary via hotspot detection model.According to the spatial pattern of contaminated areas and the trend about the spatial derived clustering,the study draws the inspiration from four aspects:collaborative prevention and control of spatial cooperation,the construction of coordination mechanism,sorting,grading,partition management methods and the innovation of management technology.
出处 《中国地质大学学报(社会科学版)》 CSSCI 北大核心 2016年第3期63-72,171,共10页 Journal of China University of Geosciences(Social Sciences Edition)
基金 湖北改革智库中国地质大学(武汉)湖北省生态文明研究中心课题“湖北省水生态文明建设体制机制改革研究”(SWSZK201510)
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