Wenchao Han , Jiachen Meng , Wenze Li , Cheng Yuan , Lulu Yuan , Yufan Dai , Yi Qing , Xiaolin Wu , Miaomiao Cheng , Jian Gao
{"title":"塑造中国历史和未来PM2.5城乡格局的关键因素","authors":"Wenchao Han , Jiachen Meng , Wenze Li , Cheng Yuan , Lulu Yuan , Yufan Dai , Yi Qing , Xiaolin Wu , Miaomiao Cheng , Jian Gao","doi":"10.1016/j.eiar.2025.108147","DOIUrl":null,"url":null,"abstract":"<div><div>Since 2000, rapid urbanization and emissions reduction efforts in China have significantly reshaped emissions, underlying surfaces, and meteorological conditions, altering the PM<sub>2.5</sub> urban-rural distribution. However, the relative contributions of various factors to historical PM<sub>2.5</sub> urban-rural patterns and the sensitive factor shaping future patterns remain unclear. This study quantified the relative contributions of emissions, urban landscape patterns (ULP), and meteorology to PM<sub>2.5</sub> urban-rural differences (URD-PM<sub>2.5</sub>) across 299 Chinese cities from 2000 to 2020, and further identified the dominant drivers changing historical URD-PM<sub>2.5</sub> and the sensitive factor reshaping future URD-PM<sub>2.5</sub>. The results show that URD-PM<sub>2.5</sub> evolution from 2000 to 2020 can be divided into two typical periods: the Stable High-level Period (SHP, 2000–2013), and the Rapid Decline Period (RDP, 2013–2020). During these periods, the relative contribution of emissions to URD-PM<sub>2.5</sub> consistently increased (nationally from 29 % to 45 %), while that of meteorology decrease continuously (nationally from 49 % to 34 %). And emissions gradually replaced meteorology as the dominant driver during RDP. The relative contribution of ULP remained stable. Furthermore, URD-PM<sub>2.5</sub> in 173 cities was observed to become increasingly sensitive to emissions, 110 cities in southern and southwestern China are increasingly sensitive to ULP, while 16 cities in northeastern China are increasingly sensitive to meteorology. These findings highlight the different contributions of emissions and meteorology to PM<sub>2.5</sub> urban-rural patterns at different periods, and suggest more scientifically targeted policies tailored to specific cities' conditions are needed according to their sensitive factors in future to collaboratively improve urban-rural air quality.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"116 ","pages":"Article 108147"},"PeriodicalIF":11.2000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The key factor in shaping the historical and future PM2.5 urban-rural pattern in China\",\"authors\":\"Wenchao Han , Jiachen Meng , Wenze Li , Cheng Yuan , Lulu Yuan , Yufan Dai , Yi Qing , Xiaolin Wu , Miaomiao Cheng , Jian Gao\",\"doi\":\"10.1016/j.eiar.2025.108147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Since 2000, rapid urbanization and emissions reduction efforts in China have significantly reshaped emissions, underlying surfaces, and meteorological conditions, altering the PM<sub>2.5</sub> urban-rural distribution. However, the relative contributions of various factors to historical PM<sub>2.5</sub> urban-rural patterns and the sensitive factor shaping future patterns remain unclear. This study quantified the relative contributions of emissions, urban landscape patterns (ULP), and meteorology to PM<sub>2.5</sub> urban-rural differences (URD-PM<sub>2.5</sub>) across 299 Chinese cities from 2000 to 2020, and further identified the dominant drivers changing historical URD-PM<sub>2.5</sub> and the sensitive factor reshaping future URD-PM<sub>2.5</sub>. The results show that URD-PM<sub>2.5</sub> evolution from 2000 to 2020 can be divided into two typical periods: the Stable High-level Period (SHP, 2000–2013), and the Rapid Decline Period (RDP, 2013–2020). During these periods, the relative contribution of emissions to URD-PM<sub>2.5</sub> consistently increased (nationally from 29 % to 45 %), while that of meteorology decrease continuously (nationally from 49 % to 34 %). And emissions gradually replaced meteorology as the dominant driver during RDP. The relative contribution of ULP remained stable. Furthermore, URD-PM<sub>2.5</sub> in 173 cities was observed to become increasingly sensitive to emissions, 110 cities in southern and southwestern China are increasingly sensitive to ULP, while 16 cities in northeastern China are increasingly sensitive to meteorology. These findings highlight the different contributions of emissions and meteorology to PM<sub>2.5</sub> urban-rural patterns at different periods, and suggest more scientifically targeted policies tailored to specific cities' conditions are needed according to their sensitive factors in future to collaboratively improve urban-rural air quality.</div></div>\",\"PeriodicalId\":309,\"journal\":{\"name\":\"Environmental Impact Assessment Review\",\"volume\":\"116 \",\"pages\":\"Article 108147\"},\"PeriodicalIF\":11.2000,\"publicationDate\":\"2025-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Impact Assessment Review\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0195925525003440\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Impact Assessment Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195925525003440","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
The key factor in shaping the historical and future PM2.5 urban-rural pattern in China
Since 2000, rapid urbanization and emissions reduction efforts in China have significantly reshaped emissions, underlying surfaces, and meteorological conditions, altering the PM2.5 urban-rural distribution. However, the relative contributions of various factors to historical PM2.5 urban-rural patterns and the sensitive factor shaping future patterns remain unclear. This study quantified the relative contributions of emissions, urban landscape patterns (ULP), and meteorology to PM2.5 urban-rural differences (URD-PM2.5) across 299 Chinese cities from 2000 to 2020, and further identified the dominant drivers changing historical URD-PM2.5 and the sensitive factor reshaping future URD-PM2.5. The results show that URD-PM2.5 evolution from 2000 to 2020 can be divided into two typical periods: the Stable High-level Period (SHP, 2000–2013), and the Rapid Decline Period (RDP, 2013–2020). During these periods, the relative contribution of emissions to URD-PM2.5 consistently increased (nationally from 29 % to 45 %), while that of meteorology decrease continuously (nationally from 49 % to 34 %). And emissions gradually replaced meteorology as the dominant driver during RDP. The relative contribution of ULP remained stable. Furthermore, URD-PM2.5 in 173 cities was observed to become increasingly sensitive to emissions, 110 cities in southern and southwestern China are increasingly sensitive to ULP, while 16 cities in northeastern China are increasingly sensitive to meteorology. These findings highlight the different contributions of emissions and meteorology to PM2.5 urban-rural patterns at different periods, and suggest more scientifically targeted policies tailored to specific cities' conditions are needed according to their sensitive factors in future to collaboratively improve urban-rural air quality.
期刊介绍:
Environmental Impact Assessment Review is an interdisciplinary journal that serves a global audience of practitioners, policymakers, and academics involved in assessing the environmental impact of policies, projects, processes, and products. The journal focuses on innovative theory and practice in environmental impact assessment (EIA). Papers are expected to present innovative ideas, be topical, and coherent. The journal emphasizes concepts, methods, techniques, approaches, and systems related to EIA theory and practice.