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基于地理探测器的中国夏季臭氧空间分布影响因素检测
摘要点击 1812  全文点击 221  投稿时间:2023-12-12  修订日期:2024-03-07
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中文关键词  臭氧  空间分布  地理探测器  量化  影响因素
英文关键词  ozone  spatial distribution  geodetector  quantified  influencing factors
作者单位E-mail
马敬超 中国环境科学研究院, 北京 100012 18860957718@163.com 
胡京南 中国环境科学研究院, 北京 100012 hujn@craes.org.cn 
李俊玲 中国环境科学研究院, 北京 100012  
党鸿雁 中国环境科学研究院, 北京 100012  
中文摘要
      为研究中国不同区域臭氧浓度空间分布的影响因素,基于2019年夏季臭氧监测数据以及主要气象因素、直接排放因素和社会经济因素这3类影响因素,利用地理探测器方法量化了各类因素对臭氧空间分异性的影响程度,并进行了区域之间的对比.结果表明,2019年夏季臭氧浓度空间分异性受主要气象因素影响最大,平均影响程度达到了0.277;相对湿度在气象因素中占主导地位,影响程度达到0.415.气象因素的影响程度由东北地区和西部地区向中部地区递增.社会经济因素的影响除高原气候区较低外,从北至南呈现递增趋势.对双因子交互作用的研究发现,气象因素中平均风速对其它因素影响程度提升最大,且存在较大的地区差异.社会经济因素中人口密度对其它因素影响程度提升最大,是驱动其它因素产生地区差异化的关键因素.研究结果有助于认识中国不同区域臭氧浓度空间分布的主导因素,对臭氧污染的防控治理有指导意义.
英文摘要
      To study the factors affecting the spatial distribution of ozone concentration in different regions of China, based on the summer ozone monitoring data of 2019 and three influencing factors, namely, main meteorological, direct emission, and socio-economic factors, the influence degree of various factors on the spatial differentiation of ozone was quantified by using the Geodetector method and the comparison between regions was conducted. The results showed that the spatial differentiation of ozone concentration in summer 2019 was most affected by the main meteorological factors and the average degree of influence reached 0.277. Relative humidity was the dominant meteorological factor and the influence degree reached 0.415. The degree of influence of meteorological factors increased from northeast and western regions to central regions. The influence of social and economic factors increased from north to south, except for the low plateau climate area. The analysis on the interaction of two factors revealed that the average wind speed of meteorological factors had the greatest impact on other factors and large regional differences were present. Among socio-economic factors, population density had the greatest impact on other factors and was the key factor driving the regional differentiation of other factors. These results are helpful to understand the dominant factors of spatial distribution of ozone concentration in different regions of China and have guiding importance for the prevention and control of ozone pollution.

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