苏州科技大学学报(自然科学版)2024,Vol.41Issue(2) :56-62.DOI:10.12084/j.issn.2096-3289.2024.02.009

长三角城镇化对PM2.5污染影响因素分析

Influencing factors of urbanization on PM25in the Yangtze River delta

王诗雨 陈德超 章熙然 范金鼎 张委伟
苏州科技大学学报(自然科学版)2024,Vol.41Issue(2) :56-62.DOI:10.12084/j.issn.2096-3289.2024.02.009

长三角城镇化对PM2.5污染影响因素分析

Influencing factors of urbanization on PM25in the Yangtze River delta

王诗雨 1陈德超 2章熙然 1范金鼎 1张委伟2
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作者信息

  • 1. 苏州科技大学环境科学与工程学院,江苏苏州 215009
  • 2. 苏州科技大学地理科学与测绘工程学院,江苏苏州 215009
  • 折叠

摘要

基于2004-2018年长三角41个城市的PM25及社会经济数据,首先采用熵值法构建经济、人口、土地、生态城镇化评价体系,并运用趋势分析法探究PM2.5演变趋势,其次通过地理探测器对PM2.5影响因素进行研究.结果表明:(1)2004-2018年,江苏城镇化水平较高的城市多聚集于苏南,浙江城镇化水平较高的城市多集中于浙北,安徽城镇化水平普遍较低;南京、杭州等核心城市带动周边发展.(2)2004-2008年A类(明显增加)分布上海、皖北、江苏大多数城市,B类(略有增加或先减后增)多数在浙江;2009-2013年A类完全消除,B类仅淮北,C类(稳定)、D类(略有减少或先增后减)以皖北、浙南为主;2014-2018年均为E类(明显减少).(3)经济规模对PM2.5污染影响最大,经济结构次之,交互模式以双因子增强为主.土地扩增、绿化覆盖率等对PM2.5污染有显著影响.

Abstract

Based on the PM25 and socio-economic data of 41 cities in the Yangtze River delta from 2004 to 2018,the economy,population,land and ecological urbanization were constructed by using the entropy method.The trend analysis method was used to explore the evolution of PM2.5.The influencing factors of PM2.5 were inves-tigated by geographic detectors.The results show that from 2004 to 2018,most of the cities with high urbanization level in Jiangsu were concentrated in southern Jiangsu,Zhejiang concentrated in northern Zhejiang,and that the urbanization level of Anhui was lower.Core cities such as Nanjing and Hangzhou lead the surrounding develop-ment.From 2004 to 2008,Category A(significant increase)was distributed in Shanghai,northern Anhui and Jiangsu,and Category B(slightly increased or decreased first and then increased)was mostly distributed in Zhe-jiang.From 2009 to 2013,Category A was completely eliminated,Category B only in Huaibei,Category C(sta-ble)and Category D(slightly decreased or increased and then decreased)mainly in northern Anhui and southern Zhejiang.From 2014 to 2018,all were Category E(significant decrease).Economic scale has the greatest impact on PM2.5 pollution,followed by economic structure,and the interaction mode is mainly two-factor enhancement.Land expansion and green coverage have a significant impact on PM25 pollution.

关键词

PM2.5污染/城镇化/时空分析/地理探测器

Key words

PM2.5 pollution/urbanization/spatio-temporal analysis/geodetectors

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基金项目

国家自然科学基金项目(41701477)

出版年

2024
苏州科技大学学报(自然科学版)
苏州科技学院

苏州科技大学学报(自然科学版)

影响因子:0.185
ISSN:2096-3289
参考文献量19
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