{"title":"城市森林规模和形态对PM2.5和O3浓度的影响:一个规模阈值的视角","authors":"Xin Chen, Fang Wei","doi":"10.1007/s11869-025-01722-7","DOIUrl":null,"url":null,"abstract":"<p>Urban forest (UF) is an effective means of mitigating air pollution. At the stage where PM<sub>2.5</sub>-O<sub>3</sub> composite pollution is prevalent and UF expansion reaches a bottleneck, optimizing UF form based on its area size becomes a superior management strategy. However, existing research has not fully explored the threshold effects of UF size. Using the panel threshold regression model, this study examines relationships between air pollution and UF (size and form) in 305 counties within the Yangtze River Delta (YRD) from 2014 to 2022. The results show (1) UF size exhibits a double threshold effect in three relationships: between patch density (PD) and PM<sub>2.5</sub>, between splitting index (SPLIT) and PM<sub>2.5</sub>, and between SPLIT and O<sub>3</sub>. Meanwhile, a single threshold effect of UF size is observed in relationships between other UF form metrics and pollutant concentrations. (2) When UF size plays the threshold effect in relationships between UF form and pollutant concentrations, its threshold values usually lie around 3%, 14%, and 45%. UF form metrics’ correlations with PM<sub>2.5</sub> are generally opposite to those with O<sub>3</sub>. (3) When UF size is below 45%, PM<sub>2.5</sub> reduction favors complex-shaped and dispersed UF patches, while O<sub>3</sub> reduction benefits from more regular and concentrated UF patches. Once UF size exceeds 45%, a continuous regional UF network can potentially address PM<sub>2.5</sub>-O<sub>3</sub> composite pollution. This study aims to provide insights into atmospheric governance and UF planning.</p>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 5","pages":"1377 - 1390"},"PeriodicalIF":2.9000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of urban forest size and form on PM2.5 and O3 concentrations: A perspective of size threshold\",\"authors\":\"Xin Chen, Fang Wei\",\"doi\":\"10.1007/s11869-025-01722-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Urban forest (UF) is an effective means of mitigating air pollution. At the stage where PM<sub>2.5</sub>-O<sub>3</sub> composite pollution is prevalent and UF expansion reaches a bottleneck, optimizing UF form based on its area size becomes a superior management strategy. However, existing research has not fully explored the threshold effects of UF size. Using the panel threshold regression model, this study examines relationships between air pollution and UF (size and form) in 305 counties within the Yangtze River Delta (YRD) from 2014 to 2022. The results show (1) UF size exhibits a double threshold effect in three relationships: between patch density (PD) and PM<sub>2.5</sub>, between splitting index (SPLIT) and PM<sub>2.5</sub>, and between SPLIT and O<sub>3</sub>. Meanwhile, a single threshold effect of UF size is observed in relationships between other UF form metrics and pollutant concentrations. (2) When UF size plays the threshold effect in relationships between UF form and pollutant concentrations, its threshold values usually lie around 3%, 14%, and 45%. UF form metrics’ correlations with PM<sub>2.5</sub> are generally opposite to those with O<sub>3</sub>. (3) When UF size is below 45%, PM<sub>2.5</sub> reduction favors complex-shaped and dispersed UF patches, while O<sub>3</sub> reduction benefits from more regular and concentrated UF patches. Once UF size exceeds 45%, a continuous regional UF network can potentially address PM<sub>2.5</sub>-O<sub>3</sub> composite pollution. This study aims to provide insights into atmospheric governance and UF planning.</p>\",\"PeriodicalId\":49109,\"journal\":{\"name\":\"Air Quality Atmosphere and Health\",\"volume\":\"18 5\",\"pages\":\"1377 - 1390\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Quality Atmosphere and Health\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11869-025-01722-7\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality Atmosphere and Health","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11869-025-01722-7","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Influence of urban forest size and form on PM2.5 and O3 concentrations: A perspective of size threshold
Urban forest (UF) is an effective means of mitigating air pollution. At the stage where PM2.5-O3 composite pollution is prevalent and UF expansion reaches a bottleneck, optimizing UF form based on its area size becomes a superior management strategy. However, existing research has not fully explored the threshold effects of UF size. Using the panel threshold regression model, this study examines relationships between air pollution and UF (size and form) in 305 counties within the Yangtze River Delta (YRD) from 2014 to 2022. The results show (1) UF size exhibits a double threshold effect in three relationships: between patch density (PD) and PM2.5, between splitting index (SPLIT) and PM2.5, and between SPLIT and O3. Meanwhile, a single threshold effect of UF size is observed in relationships between other UF form metrics and pollutant concentrations. (2) When UF size plays the threshold effect in relationships between UF form and pollutant concentrations, its threshold values usually lie around 3%, 14%, and 45%. UF form metrics’ correlations with PM2.5 are generally opposite to those with O3. (3) When UF size is below 45%, PM2.5 reduction favors complex-shaped and dispersed UF patches, while O3 reduction benefits from more regular and concentrated UF patches. Once UF size exceeds 45%, a continuous regional UF network can potentially address PM2.5-O3 composite pollution. This study aims to provide insights into atmospheric governance and UF planning.
期刊介绍:
Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health.
It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes.
International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals.
Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements.
This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.