Associations between community green view index and fine particulate matter from Airboxes
學年 112
學期 2
出版（發表）日期 2024-02-23
作品名稱 Associations between community green view index and fine particulate matter from Airboxes
作品名稱（其他語言）
著者 Jia-Hong Tang; Ying-Jhen Huang; Ping-Hsien Lee; Yu-Ting Lee; Yu-Chun Wang; Ta-Chien Chan
單位
出版者
著錄名稱、卷期、頁數 Science of The Total Environment 921, p. 171213
摘要 Urban greenery can help to improve air quality, reduce health risks and create healthy livable urban communities. This study aimed to explore the role of urban greenery in reducing air pollution at the community level in Tainan City, Taiwan, using air quality sensors and street-view imagery. We also collected the number of road trees around each air quality sensor site and identified the species that were best at absorbing PM2.5. Three greenness metrics were used to assess community greenery in this study: two Normalized Difference Vegetation Indices (NDVI) from different satellites and the Green View Index (GVI) from Google Street View (GSV) images. Land-use Regression (LUR) was used for statistical analysis. The results showed that a higher GVI within a 500 m buffer was significantly associated with decreased PM2.5. Neither NDVI metrics within a 500 m circular buffer were significantly associated with decreased PM2.5. Evergreen trees were significantly associated with lower ambient PM2.5, compared with deciduous and semi-deciduous trees. Because localized changes in air quality profoundly affect public health and environmental equity, our findings provide evidence for future urban community greenspace planning and its beneficial impacts on reducing air pollution.
關鍵字
語言 en_US
ISSN 0048-9697
期刊性質 國外
收錄於 SCI Scopus
產學合作
通訊作者 Ta-Chien Chan
審稿制度 是
國別 NLD
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128419 )

SDGS 永續城市與社區,夥伴關係,良好健康和福祉,優質教育