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基于地理探测器的浙江省空气质量风险因子分析
引用本文:马小雯,章笑艺,来丽芳,张丰,杜震洪,刘仁义.基于地理探测器的浙江省空气质量风险因子分析[J].浙江大学学报(理学版),2018,45(3):351-362.
作者姓名:马小雯  章笑艺  来丽芳  张丰  杜震洪  刘仁义
作者单位:1. 浙江大学 浙江省资源与环境信息系统重点实验室, 浙江 杭州 310028;
2. 浙江大学 地理信息科学研究所, 浙江 杭州 310027;
3. 浙江建设职业技术学院 城市建设工程学, 浙江杭州 311231
基金项目:国家自然科学基金资助项目(41471313,41671391);浙江省科技攻关项目(2015C33021);浙江省科学技术厅2015年度省级公益性技术应用研究计划项目(2015C33052).
摘    要:随着经济改革和城市化建设进程的加快,我国的空气质量正面临着空前的压力.识别城市化过程中影响空气质量的风险因子,探究不同城市化与空气质量耦合协调阶段的风险因子及其决定力的差异,有助于政府在发展城市经济的同时合理预防、控制和治理空气污染.根据2015年浙江省各市城市化与空气质量耦合协调度计算结果,将全省划分为协调发展、转型过渡和不协调发展3种区域,运用地理探测器揭示全省不同耦合协调分区的空气质量风险因子.研究表明:(1)不同耦合协调分区的主要风险因子不完全相同;(2)城市化因子通常与年均AQI值正相关,与自然、气象因子负相关;(3)风险因子的两两共同作用加强了对空气质量空间分布的解释力.

关 键 词:空气质量  城市化  耦合协调度  地理探测器  
收稿时间:2017-04-21

Study on risk factors of air quality in Zhejiang province based on geographical detectors
MA Xiaowen,ZHANG Xiaoyi,LAI Lifang,ZHANG Feng,DU Zhenhong,LIU Renyi.Study on risk factors of air quality in Zhejiang province based on geographical detectors[J].Journal of Zhejiang University(Sciences Edition),2018,45(3):351-362.
Authors:MA Xiaowen  ZHANG Xiaoyi  LAI Lifang  ZHANG Feng  DU Zhenhong  LIU Renyi
Affiliation:1. Zhejiang Provincial Key Lab of GIS, Zhejiang University, Hangzhou 310028, China;
2. Department of Geographic Information Science, Zhejiang University, Hangzhou 310027, China;
3. Department of Urban Construction Engineering, Zhejiang College of Consturction, Hangzhou 311231, China
Abstract:With the acceleration of economic reform and urbanization, China's air quality is facing unprecedented pressure. It is important to identify the risk factors influencing the air quality in the process of urbanization and study the differences of risk factors and their determinant powers at different coupling stages so as to assist the government in the atmospheric environment protection and air quality improvement. According to the coupling coordination level of urbanization and air quality in Zhejiang province, 2015, this paper divides the province into coordinated area, transitional zone and uncoordinated area, and reveals the risk factors of air quality in these three zones via geographical detectors. The results show that:(1) The main risk factors of different coupling coordination areas are not exactly the same; (2) Urbanization factors are usually positively correlated with annual AQI values, while natural and meteorological factors usually exhibit negative correlation; (3) The combined effect of the two-factor interaction will enhance the explanatory power of the spatial distribution of the air quality.
Keywords:air quality  urbanization  coupling coordination  geographical detectors
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