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Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts

The patterns of green corridors in urban riverfront districts provide different synergistic cooling effects of blue-green space in urban areas. The purpose of this study is to quantify the spatial morphological impact of green corridors in riverfront block-scale area on the cooling effect. Three rep...

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Autores principales: Jiang, Yunfang, Huang, Jing, Shi, Tiemao, Li, Xiaolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622358/
https://www.ncbi.nlm.nih.gov/pubmed/34831672
http://dx.doi.org/10.3390/ijerph182211917
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author Jiang, Yunfang
Huang, Jing
Shi, Tiemao
Li, Xiaolin
author_facet Jiang, Yunfang
Huang, Jing
Shi, Tiemao
Li, Xiaolin
author_sort Jiang, Yunfang
collection PubMed
description The patterns of green corridors in urban riverfront districts provide different synergistic cooling effects of blue-green space in urban areas. The purpose of this study is to quantify the spatial morphological impact of green corridors in riverfront block-scale area on the cooling effect. Three representative patterns (radiate, grid and dendritic) were selected in the study. The comprehensive influences analysis between multi-dimensional factors of spatial structure and morphology of green corridors and Ta (air temperature) distribution are processed by Envi-met4.4.5 simulation data and statistical analysis methods, such as regression tree model (BRT), were combined. The results showed that the D (distance from riverbank) has the greatest impact on the cooling effect of each belt green space. The D in the range of 600–750 m was affected by the cooling effect of blue-green space; The orientation with parallel to (southeast–northwest) or roughly the same as the prevailing wind direction (north–south) green corridors had relatively better cooling effect. When the width of green corridor was 20–25 m, the ME (marginal effect) of cooling was the largest; at 30–35 m (corridor width), the overall ME of cooling was the best; When the dPC (decreased probability connectivity, here the index was adapted to describe the connectivity degree) of green corridors was in the range of 0.5–1.5, the cooling effect of green corridor could be significantly improved. When dPC is 1.5, its marginal effect on temperature reached the maximum. The study provided a quantitative correlation technology for the morphological influence of blue-green space on the distribution of UCI (urban cooling island), which can guide the spatial layout control of green corridors in the planning and design of urban riverfront district.
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spelling pubmed-86223582021-11-27 Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts Jiang, Yunfang Huang, Jing Shi, Tiemao Li, Xiaolin Int J Environ Res Public Health Article The patterns of green corridors in urban riverfront districts provide different synergistic cooling effects of blue-green space in urban areas. The purpose of this study is to quantify the spatial morphological impact of green corridors in riverfront block-scale area on the cooling effect. Three representative patterns (radiate, grid and dendritic) were selected in the study. The comprehensive influences analysis between multi-dimensional factors of spatial structure and morphology of green corridors and Ta (air temperature) distribution are processed by Envi-met4.4.5 simulation data and statistical analysis methods, such as regression tree model (BRT), were combined. The results showed that the D (distance from riverbank) has the greatest impact on the cooling effect of each belt green space. The D in the range of 600–750 m was affected by the cooling effect of blue-green space; The orientation with parallel to (southeast–northwest) or roughly the same as the prevailing wind direction (north–south) green corridors had relatively better cooling effect. When the width of green corridor was 20–25 m, the ME (marginal effect) of cooling was the largest; at 30–35 m (corridor width), the overall ME of cooling was the best; When the dPC (decreased probability connectivity, here the index was adapted to describe the connectivity degree) of green corridors was in the range of 0.5–1.5, the cooling effect of green corridor could be significantly improved. When dPC is 1.5, its marginal effect on temperature reached the maximum. The study provided a quantitative correlation technology for the morphological influence of blue-green space on the distribution of UCI (urban cooling island), which can guide the spatial layout control of green corridors in the planning and design of urban riverfront district. MDPI 2021-11-13 /pmc/articles/PMC8622358/ /pubmed/34831672 http://dx.doi.org/10.3390/ijerph182211917 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jiang, Yunfang
Huang, Jing
Shi, Tiemao
Li, Xiaolin
Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts
title Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts
title_full Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts
title_fullStr Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts
title_full_unstemmed Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts
title_short Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts
title_sort cooling island effect of blue-green corridors: quantitative comparison of morphological impacts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622358/
https://www.ncbi.nlm.nih.gov/pubmed/34831672
http://dx.doi.org/10.3390/ijerph182211917
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AT lixiaolin coolingislandeffectofbluegreencorridorsquantitativecomparisonofmorphologicalimpacts