{"title":"利用多尺度地理加权回归模型探索三维城市景观模式与 PM2.5 污染之间的关系","authors":"Haoyan Duan, Qian Cao, Lunche Wang, Xihui Gu, Khosro Ashrafi","doi":"10.1177/03091333241241458","DOIUrl":null,"url":null,"abstract":"Fine particulate matter (PM<jats:sub>2.5</jats:sub>) is a major source of air pollution and exerts serious impacts on human health. The 3D urban landscape patterns can significantly affect the diffusion and emissions of PM<jats:sub>2.5</jats:sub>. However, studies on the relationships between 3D urban landscape patterns and PM<jats:sub>2.5</jats:sub> pollution across different seasons remain understudied. With the ground-level air pollutants estimated by the remote sensing and fine-scale building information, this study applied the multiscale geographically weighted regression model to explore such relationships. Wuhan, the largest metropolis in Central China, was selected as the study area for the application of our methodology. The results showed that the direction, degree, and scale of the effect of 3D urban landscape patterns on PM<jats:sub>2.5</jats:sub> pollution varied across seasons. For building height, the standard deviation of building height had a significant positive correlation with PM<jats:sub>2.5</jats:sub> all year round. For building density, the building count density showed a significant positive correlation with PM<jats:sub>2.5</jats:sub> in general, with the bandwidth in winter and autumn smaller than in spring and summer. The building plan area fraction exerted both positive and negative influences on PM<jats:sub>2.5</jats:sub>, dependent on season and location. The bandwidth of it gradually increased from spring to winter, with the effect changing from local to regional scale. For building volume, the floor area ratio showed a significant negative correlation with PM<jats:sub>2.5</jats:sub> in winter and autumn, and a localized effect was found, especially in winter. The findings of this study provide practical implications for urban planning and policy making to mitigate PM<jats:sub>2.5</jats:sub> pollution in the rapidly urbanizing regions.","PeriodicalId":49659,"journal":{"name":"Progress in Physical Geography-Earth and Environment","volume":"237 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the relationships between 3D urban landscape patterns and PM2.5 pollution using the multiscale geographic weighted regression model\",\"authors\":\"Haoyan Duan, Qian Cao, Lunche Wang, Xihui Gu, Khosro Ashrafi\",\"doi\":\"10.1177/03091333241241458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fine particulate matter (PM<jats:sub>2.5</jats:sub>) is a major source of air pollution and exerts serious impacts on human health. The 3D urban landscape patterns can significantly affect the diffusion and emissions of PM<jats:sub>2.5</jats:sub>. However, studies on the relationships between 3D urban landscape patterns and PM<jats:sub>2.5</jats:sub> pollution across different seasons remain understudied. With the ground-level air pollutants estimated by the remote sensing and fine-scale building information, this study applied the multiscale geographically weighted regression model to explore such relationships. Wuhan, the largest metropolis in Central China, was selected as the study area for the application of our methodology. The results showed that the direction, degree, and scale of the effect of 3D urban landscape patterns on PM<jats:sub>2.5</jats:sub> pollution varied across seasons. For building height, the standard deviation of building height had a significant positive correlation with PM<jats:sub>2.5</jats:sub> all year round. For building density, the building count density showed a significant positive correlation with PM<jats:sub>2.5</jats:sub> in general, with the bandwidth in winter and autumn smaller than in spring and summer. The building plan area fraction exerted both positive and negative influences on PM<jats:sub>2.5</jats:sub>, dependent on season and location. The bandwidth of it gradually increased from spring to winter, with the effect changing from local to regional scale. For building volume, the floor area ratio showed a significant negative correlation with PM<jats:sub>2.5</jats:sub> in winter and autumn, and a localized effect was found, especially in winter. The findings of this study provide practical implications for urban planning and policy making to mitigate PM<jats:sub>2.5</jats:sub> pollution in the rapidly urbanizing regions.\",\"PeriodicalId\":49659,\"journal\":{\"name\":\"Progress in Physical Geography-Earth and Environment\",\"volume\":\"237 1\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Physical Geography-Earth and Environment\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1177/03091333241241458\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Physical Geography-Earth and Environment","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1177/03091333241241458","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
Exploring the relationships between 3D urban landscape patterns and PM2.5 pollution using the multiscale geographic weighted regression model
Fine particulate matter (PM2.5) is a major source of air pollution and exerts serious impacts on human health. The 3D urban landscape patterns can significantly affect the diffusion and emissions of PM2.5. However, studies on the relationships between 3D urban landscape patterns and PM2.5 pollution across different seasons remain understudied. With the ground-level air pollutants estimated by the remote sensing and fine-scale building information, this study applied the multiscale geographically weighted regression model to explore such relationships. Wuhan, the largest metropolis in Central China, was selected as the study area for the application of our methodology. The results showed that the direction, degree, and scale of the effect of 3D urban landscape patterns on PM2.5 pollution varied across seasons. For building height, the standard deviation of building height had a significant positive correlation with PM2.5 all year round. For building density, the building count density showed a significant positive correlation with PM2.5 in general, with the bandwidth in winter and autumn smaller than in spring and summer. The building plan area fraction exerted both positive and negative influences on PM2.5, dependent on season and location. The bandwidth of it gradually increased from spring to winter, with the effect changing from local to regional scale. For building volume, the floor area ratio showed a significant negative correlation with PM2.5 in winter and autumn, and a localized effect was found, especially in winter. The findings of this study provide practical implications for urban planning and policy making to mitigate PM2.5 pollution in the rapidly urbanizing regions.
期刊介绍:
Progress in Physical Geography is a peer-reviewed, international journal, encompassing an interdisciplinary approach incorporating the latest developments and debates within Physical Geography and interrelated fields across the Earth, Biological and Ecological System Sciences.