Spatiotemporal analysis of the impact of urban landscape forms on PM 2.5 in China from 2001 to 2020
Author:
Affiliation:
1. School of Geographic Sciences, Hunan Normal University, Changsha, People’s Republic of China
2. Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, Montreal, Canada
Funder
the Outstanding Youth Project of Hunan Provincial Education Department
the Science and Technology Innovation Program of Hunan Province, China.
the Natural Science Foundation of Hunan Province, China
the Joint Fund for Regional Innovation and Development of the National Natural Science Foundation
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,Computer Science Applications,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2249862
Reference61 articles.
1. Local Indicators of Spatial Association-LISA
2. THE CAPTURE OF PARTICULATE POLLUTION BY TREES AT FIVE CONTRASTING URBAN SITES
3. The impact of urban green space morphology on PM2.5 pollution in Wuhan, China: A novel multiscale spatiotemporal analytical framework
4. A new framework for analysis of the morphological spatial patterns of urban green space to reduce PM2.5 pollution: A case study in Wuhan, China
5. A landscape scale study in Southeast China investigating the effects of varied green space types on atmospheric PM2.5 in mid-winter
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