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: Yunfang Jiang, Jing Huang, Tiemao Shi, Xiaolin Li
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:3da970e4ae2a4bd6894159346ada9b002021-11-25T17:49:28ZCooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts10.3390/ijerph1822119171660-46011661-7827https://doaj.org/article/3da970e4ae2a4bd6894159346ada9b002021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/11917https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601The 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.Yunfang JiangJing HuangTiemao ShiXiaolin LiMDPI AGarticleurban heat island (UHI)blue-green spacespatial morphologyurban cooling island (UCI)boosted regression trees (BRT)ChinaMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11917, p 11917 (2021)
institution DOAJ
collection DOAJ
language EN
topic urban heat island (UHI)
blue-green space
spatial morphology
urban cooling island (UCI)
boosted regression trees (BRT)
China
Medicine
R
spellingShingle urban heat island (UHI)
blue-green space
spatial morphology
urban cooling island (UCI)
boosted regression trees (BRT)
China
Medicine
R
Yunfang Jiang
Jing Huang
Tiemao Shi
Xiaolin Li
Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts
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.
format article
author Yunfang Jiang
Jing Huang
Tiemao Shi
Xiaolin Li
author_facet Yunfang Jiang
Jing Huang
Tiemao Shi
Xiaolin Li
author_sort Yunfang Jiang
title 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_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_sort cooling island effect of blue-green corridors: quantitative comparison of morphological impacts
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/3da970e4ae2a4bd6894159346ada9b00
work_keys_str_mv AT yunfangjiang coolingislandeffectofbluegreencorridorsquantitativecomparisonofmorphologicalimpacts
AT jinghuang coolingislandeffectofbluegreencorridorsquantitativecomparisonofmorphologicalimpacts
AT tiemaoshi coolingislandeffectofbluegreencorridorsquantitativecomparisonofmorphologicalimpacts
AT xiaolinli coolingislandeffectofbluegreencorridorsquantitativecomparisonofmorphologicalimpacts
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