摘要
选取2014—2018年广东省21个城市的空气质量指数(AQI)以及PM_(2.5)、PM_(10)、CO、NO_(2)、O_(3)、SO_(2)的浓度数据,利用重心模型和空间自相关模型,对广东省的空气质量和各污染物的浓度水平进行时空特征分析,同时,利用空间计量分析模型分析社会经济特征变量对环境空气质量空间特征的影响。结果表明:2014—2018年广东省的大气污染重心一直徘徊在广州市和东莞市的交界地带。全省的重心由东北向西南迁移,6种污染物的迁移路径各有特点。6种污染物中,PM_(2.5)、PM_(10)、NO_(2)、O_(3)的重心整体向西南方向迁移,CO的污染重心整体向东北方向迁移,而SO_(2)污染重心整体向南迁移。6种污染的污染重心每年迁移的距离非常微小。广东省春夏的污染重心偏东北方向,分布较松散;秋冬季的污染重心偏向西南方向,分布较集中。2014—2018年,广东省存在大气污染的“热点”和“冷点”区域,呈现出高污染区域聚集和低污染区域聚集的态势。珠江入海口地区、清远市周边的空气质量较差;湛江沿海地区、汕尾地区的空气质量相对较好。2014—2018年,广东省人均地区生产总值(GDP)、第三产业占GDP比重与城市AQI呈现负相关关系,工业产值占GDP比重、人均可支配收入、研究与试验发展(R&D)经费支出与城市AQI呈现正相关关系,外商直接投资和大气环境之间的关系不确定。
The air quality index(AQI),PM_(2.5),PM_(10),CO,NO_(2),O_(3) and SO_(2) concentration data of 21 cities in Guangdong Province from 2014 tO_(2)018 were selected to analyze its spatial-temporal characteristics of air quality by applying gravity model and spatial autocorrelation model.Subsequently,the socioeconomic variables’impacts on ambient air quality were analyzed with spatial econometric model.The results showed that,from 2014 tO_(2)018,the gravity center of atmospheric pollution in Guangdong Province has been hovering at the junction of Guangzhou and Dongguan,and shifted from northeast to southwest in the province.The migratory paths of the six pollutants’gravity centers in Guangdong province were different.The gravity centers of PM_(2.5),PM_(10),NO_(2) and O_(3) moved to the southwest,while the gravity center of CO moved to the northeast and SO_(2) to the south.The pollution centers of these six pollutants had a small movement every year.The pollution centers of Guangdong Province were distributed in the northeast direction during spring and summer and in the southwest area during autumn and winter.From 2014 tO_(2)018,there were“hot spots”and“cold spots”of air pollution.The air quality was relatively worse around the Pearl River estuary and Qingyuan,and was relatively better in the coastal areas of Zhanjiang and Shanwei.Guangdong’s per capita gross domestic product(GDP)and the proportion of tertiary industry in GDP were negatively associated with urban AQI,while the proportion of industrial output in GDP,per capita disposable income and industrial research and development(R&D)expenditure were positively associated.The correlativity between foreign direct investment and atmospheric quality was uncertain.
作者
刘利
邓宇宸
吴丹
张伟男
郝千婷
朱琦
LIU Li;DENG Yuchen;WU Dan;ZHANG Weinan;HAO Qianting;ZHU Qi(School of Environment and Energy,South China University of Technology,Guangzhou 510006,China;The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters,Ministry of Education,Guangzhou 510006,China;School of Politics&Public Administration,Hainan University,Haikou 570000,China;Information Center of Ministry of Ecology and Environment,Beijing 100012,China)
出处
《中国环境监测》
CAS
CSCD
北大核心
2021年第3期40-50,共11页
Environmental Monitoring in China
基金
国家重点研发计划“大气环境监测数据共享技术及应用”(2016YFC0201800)。
关键词
空气质量
时空特征
社会经济因素
广东省
air quality
spatial-temporal characteristic
socioeconomic factors
Guangdong Province
