Zeliang Bian , Chen Ren , Dawei Wang , Shi-Jie Cao
{"title":"城市空气污染相关暴露和健康影响的时空分析:推动以人为本的监管和控制","authors":"Zeliang Bian , Chen Ren , Dawei Wang , Shi-Jie Cao","doi":"10.1016/j.uclim.2024.102161","DOIUrl":null,"url":null,"abstract":"<div><div>Climate change has resulted in frequent extreme disasters and scarce resources, leading to a massive population into cities for favorable survival conditions, and also increasing urban air pollution burdens. It is urgent to assess population health risks related with urban air pollution, which usually relies on census method and meteorological measurement data. However, health impacts may be underestimated, because of challenges to represent the dynamic population mobility and perform unified analysis of different pollution hazards. The contribution of this work is to combine census data with Location Based Service to identify the spatiotemporal mobility pattern of urban population, and then population-weighted exposure (PWE) and health impacts of various air pollution (PM<sub>2.5</sub>, O<sub>3</sub>, and NO<sub>2</sub>) are synergistically evaluated. Taking Nanjing as the study area, it was found that the pollution peak areas correlated with population mobility in the study region, shifting from urban suburbs to the center during the daytime, with the maximum concentration exceeding 165 μg/m<sup>3</sup>. O<sub>3</sub> caused a relatively high PWE level and had a greater health impact than PM<sub>2.5</sub> and NO<sub>2</sub>, adding the mortality by up to 5 % especially on weekdays. The annual health impact of O<sub>3</sub> was approximately twice that of PM<sub>2.5</sub> and NO<sub>2</sub>. Human-centered regulation strategies of urban air pollution were proposed in terms of personnel behaviors, government control, and urban design towards mitigation of air pollution risk and sustainable urban development.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102161"},"PeriodicalIF":6.0000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial-temporal analysis of urban air pollution related exposure and health impacts: Driving human-centered regulation and control\",\"authors\":\"Zeliang Bian , Chen Ren , Dawei Wang , Shi-Jie Cao\",\"doi\":\"10.1016/j.uclim.2024.102161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Climate change has resulted in frequent extreme disasters and scarce resources, leading to a massive population into cities for favorable survival conditions, and also increasing urban air pollution burdens. It is urgent to assess population health risks related with urban air pollution, which usually relies on census method and meteorological measurement data. However, health impacts may be underestimated, because of challenges to represent the dynamic population mobility and perform unified analysis of different pollution hazards. The contribution of this work is to combine census data with Location Based Service to identify the spatiotemporal mobility pattern of urban population, and then population-weighted exposure (PWE) and health impacts of various air pollution (PM<sub>2.5</sub>, O<sub>3</sub>, and NO<sub>2</sub>) are synergistically evaluated. Taking Nanjing as the study area, it was found that the pollution peak areas correlated with population mobility in the study region, shifting from urban suburbs to the center during the daytime, with the maximum concentration exceeding 165 μg/m<sup>3</sup>. O<sub>3</sub> caused a relatively high PWE level and had a greater health impact than PM<sub>2.5</sub> and NO<sub>2</sub>, adding the mortality by up to 5 % especially on weekdays. The annual health impact of O<sub>3</sub> was approximately twice that of PM<sub>2.5</sub> and NO<sub>2</sub>. Human-centered regulation strategies of urban air pollution were proposed in terms of personnel behaviors, government control, and urban design towards mitigation of air pollution risk and sustainable urban development.</div></div>\",\"PeriodicalId\":48626,\"journal\":{\"name\":\"Urban Climate\",\"volume\":\"58 \",\"pages\":\"Article 102161\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2024-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Climate\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212095524003584\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Climate","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212095524003584","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Spatial-temporal analysis of urban air pollution related exposure and health impacts: Driving human-centered regulation and control
Climate change has resulted in frequent extreme disasters and scarce resources, leading to a massive population into cities for favorable survival conditions, and also increasing urban air pollution burdens. It is urgent to assess population health risks related with urban air pollution, which usually relies on census method and meteorological measurement data. However, health impacts may be underestimated, because of challenges to represent the dynamic population mobility and perform unified analysis of different pollution hazards. The contribution of this work is to combine census data with Location Based Service to identify the spatiotemporal mobility pattern of urban population, and then population-weighted exposure (PWE) and health impacts of various air pollution (PM2.5, O3, and NO2) are synergistically evaluated. Taking Nanjing as the study area, it was found that the pollution peak areas correlated with population mobility in the study region, shifting from urban suburbs to the center during the daytime, with the maximum concentration exceeding 165 μg/m3. O3 caused a relatively high PWE level and had a greater health impact than PM2.5 and NO2, adding the mortality by up to 5 % especially on weekdays. The annual health impact of O3 was approximately twice that of PM2.5 and NO2. Human-centered regulation strategies of urban air pollution were proposed in terms of personnel behaviors, government control, and urban design towards mitigation of air pollution risk and sustainable urban development.
期刊介绍:
Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following:
Urban meteorology and climate[...]
Urban environmental pollution[...]
Adaptation to global change[...]
Urban economic and social issues[...]
Research Approaches[...]