Impact of urban green areas on air quality: An integrated analysis in the metropolitan area of Sao Paulo

被引:0
作者
Oliveira, Maria Carla Queiroz Diniz [1 ,3 ]
Miranda, Regina Maura de [1 ]
Andrade, Maria de Fatima [2 ]
Kumar, Prashant [3 ,4 ]
机构
[1] Univ Sao Paulo, Sch Arts Sci & Humanities, Sao Paulo, Brazil
[2] Univ Sao Paulo, Inst Astron Geophys & Atmospher Sci, Sao Paulo, Brazil
[3] Univ Surrey, Fac Engn & Phys Sci, Global Ctr Clean Air Res GCARE, Sch Sustainabil Civil & Environm Engn, Guildford GU2 7XH, Surrey, England
[4] Univ Surrey, Inst Sustainabil, Guildford GU2 7XH, Surrey, England
基金
英国工程与自然科学研究理事会; 巴西圣保罗研究基金会;
关键词
Green areas; NDVI; NDBI; Sa o paulo; PM 2.5 concentration and PM 10; PM2.5 MASS CONCENTRATIONS; TIME-SERIES; OPEN-ROAD; POLLUTION; INFRASTRUCTURE; VEGETATION; EMISSIONS; MORTALITY; DISEASES; TRENDS;
D O I
10.1016/j.envpol.2025.126082
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Cities must be prepared to improve the quality of life, including exposure to air pollutants, for their residents as urban populations continue to grow. Green infrastructure and green areas have proven increasingly important in tackling this challenge. This study examined the relationship between urban green spaces and air pollution in the Sao Paulo Metropolitan Area. Using PM10 and PM2.5 as indicators of atmospheric pollutants and NDVI and NDBI to evaluate green areas and building density, statistical tools such as cluster analysis and Sen's Slope test were applied, complemented by visual analyses with temporal heat maps. The results indicated a general reduction in PM2.5 and PM10 concentrations from 2014 to 2023, with NDVI increasing until 2021 and then decreasing, possibly due to real estate speculation. Regions with higher NDVI showed 50 % lower PM concentrations compared with industrial and high-traffic areas. The Sen's Slope analysis outlined the influence of tree-planting public policies on reducing pollutant levels. These findings the ongoing importance of research on the interaction between green areas and urban air quality to inform decision-makers.
引用
收藏
页数:11
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