Comparison of cooling effect between green space and water body
The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selec...
Ausführliche Beschreibung
Autor*in: |
Tan, Xingyu [verfasserIn] Sun, Xiang [verfasserIn] Huang, Chengdao [verfasserIn] Yuan, Yuan [verfasserIn] Hou, Donglin [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Sustainable cities and society - Amsterdam [u.a.] : Elsevier, 2011, 67 |
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Übergeordnetes Werk: |
volume:67 |
DOI / URN: |
10.1016/j.scs.2021.102711 |
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Katalog-ID: |
ELV005759684 |
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245 | 1 | 0 | |a Comparison of cooling effect between green space and water body |
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520 | |a The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selected as the typical case in the subtropical climate zone, and spatial and statistical analysis based on Landsat 8 OLI/TIRS images was conducted to compare the cooling effect and factors of blue and green spaces. Results showed that (1) the area-related green-space and water-body metrics are significantly positively correlated with the cooling effect. An additional 10 % of green space cover leads to a decline in the mean LST of 0.39 °C compared with a decline of 0.42 °C for water cover; (2) green and blue spaces with simple shapes and high fragmentation may have strong cooling effect, whereas green and blue spaces with more complex shapes may cool larger areas, benefiting more residents; (3) the threshold values of efficiency (TVoE) of tree-based green spaces and water patches were both approximately 0.30 ha, increasing with spatial sprawl of impervious surfaces; and (4) water bodies have slightly higher cooling intensity and much larger cooling ranges than tree-based green spaces. | ||
650 | 4 | |a Urban heat island | |
650 | 4 | |a Green space | |
650 | 4 | |a Water body | |
650 | 4 | |a Cooling range | |
650 | 4 | |a Cooling intensity | |
700 | 1 | |a Sun, Xiang |e verfasserin |4 aut | |
700 | 1 | |a Huang, Chengdao |e verfasserin |4 aut | |
700 | 1 | |a Yuan, Yuan |e verfasserin |4 aut | |
700 | 1 | |a Hou, Donglin |e verfasserin |4 aut | |
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2021 |
allfields |
10.1016/j.scs.2021.102711 doi (DE-627)ELV005759684 (ELSEVIER)S2210-6707(21)00006-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Tan, Xingyu verfasserin aut Comparison of cooling effect between green space and water body 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selected as the typical case in the subtropical climate zone, and spatial and statistical analysis based on Landsat 8 OLI/TIRS images was conducted to compare the cooling effect and factors of blue and green spaces. Results showed that (1) the area-related green-space and water-body metrics are significantly positively correlated with the cooling effect. An additional 10 % of green space cover leads to a decline in the mean LST of 0.39 °C compared with a decline of 0.42 °C for water cover; (2) green and blue spaces with simple shapes and high fragmentation may have strong cooling effect, whereas green and blue spaces with more complex shapes may cool larger areas, benefiting more residents; (3) the threshold values of efficiency (TVoE) of tree-based green spaces and water patches were both approximately 0.30 ha, increasing with spatial sprawl of impervious surfaces; and (4) water bodies have slightly higher cooling intensity and much larger cooling ranges than tree-based green spaces. Urban heat island Green space Water body Cooling range Cooling intensity Sun, Xiang verfasserin aut Huang, Chengdao verfasserin aut Yuan, Yuan verfasserin aut Hou, Donglin verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 67 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:67 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 67 |
spelling |
10.1016/j.scs.2021.102711 doi (DE-627)ELV005759684 (ELSEVIER)S2210-6707(21)00006-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Tan, Xingyu verfasserin aut Comparison of cooling effect between green space and water body 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selected as the typical case in the subtropical climate zone, and spatial and statistical analysis based on Landsat 8 OLI/TIRS images was conducted to compare the cooling effect and factors of blue and green spaces. Results showed that (1) the area-related green-space and water-body metrics are significantly positively correlated with the cooling effect. An additional 10 % of green space cover leads to a decline in the mean LST of 0.39 °C compared with a decline of 0.42 °C for water cover; (2) green and blue spaces with simple shapes and high fragmentation may have strong cooling effect, whereas green and blue spaces with more complex shapes may cool larger areas, benefiting more residents; (3) the threshold values of efficiency (TVoE) of tree-based green spaces and water patches were both approximately 0.30 ha, increasing with spatial sprawl of impervious surfaces; and (4) water bodies have slightly higher cooling intensity and much larger cooling ranges than tree-based green spaces. Urban heat island Green space Water body Cooling range Cooling intensity Sun, Xiang verfasserin aut Huang, Chengdao verfasserin aut Yuan, Yuan verfasserin aut Hou, Donglin verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 67 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:67 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 67 |
allfields_unstemmed |
10.1016/j.scs.2021.102711 doi (DE-627)ELV005759684 (ELSEVIER)S2210-6707(21)00006-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Tan, Xingyu verfasserin aut Comparison of cooling effect between green space and water body 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selected as the typical case in the subtropical climate zone, and spatial and statistical analysis based on Landsat 8 OLI/TIRS images was conducted to compare the cooling effect and factors of blue and green spaces. Results showed that (1) the area-related green-space and water-body metrics are significantly positively correlated with the cooling effect. An additional 10 % of green space cover leads to a decline in the mean LST of 0.39 °C compared with a decline of 0.42 °C for water cover; (2) green and blue spaces with simple shapes and high fragmentation may have strong cooling effect, whereas green and blue spaces with more complex shapes may cool larger areas, benefiting more residents; (3) the threshold values of efficiency (TVoE) of tree-based green spaces and water patches were both approximately 0.30 ha, increasing with spatial sprawl of impervious surfaces; and (4) water bodies have slightly higher cooling intensity and much larger cooling ranges than tree-based green spaces. Urban heat island Green space Water body Cooling range Cooling intensity Sun, Xiang verfasserin aut Huang, Chengdao verfasserin aut Yuan, Yuan verfasserin aut Hou, Donglin verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 67 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:67 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 67 |
allfieldsGer |
10.1016/j.scs.2021.102711 doi (DE-627)ELV005759684 (ELSEVIER)S2210-6707(21)00006-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Tan, Xingyu verfasserin aut Comparison of cooling effect between green space and water body 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selected as the typical case in the subtropical climate zone, and spatial and statistical analysis based on Landsat 8 OLI/TIRS images was conducted to compare the cooling effect and factors of blue and green spaces. Results showed that (1) the area-related green-space and water-body metrics are significantly positively correlated with the cooling effect. An additional 10 % of green space cover leads to a decline in the mean LST of 0.39 °C compared with a decline of 0.42 °C for water cover; (2) green and blue spaces with simple shapes and high fragmentation may have strong cooling effect, whereas green and blue spaces with more complex shapes may cool larger areas, benefiting more residents; (3) the threshold values of efficiency (TVoE) of tree-based green spaces and water patches were both approximately 0.30 ha, increasing with spatial sprawl of impervious surfaces; and (4) water bodies have slightly higher cooling intensity and much larger cooling ranges than tree-based green spaces. Urban heat island Green space Water body Cooling range Cooling intensity Sun, Xiang verfasserin aut Huang, Chengdao verfasserin aut Yuan, Yuan verfasserin aut Hou, Donglin verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 67 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:67 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 67 |
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10.1016/j.scs.2021.102711 doi (DE-627)ELV005759684 (ELSEVIER)S2210-6707(21)00006-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Tan, Xingyu verfasserin aut Comparison of cooling effect between green space and water body 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selected as the typical case in the subtropical climate zone, and spatial and statistical analysis based on Landsat 8 OLI/TIRS images was conducted to compare the cooling effect and factors of blue and green spaces. Results showed that (1) the area-related green-space and water-body metrics are significantly positively correlated with the cooling effect. An additional 10 % of green space cover leads to a decline in the mean LST of 0.39 °C compared with a decline of 0.42 °C for water cover; (2) green and blue spaces with simple shapes and high fragmentation may have strong cooling effect, whereas green and blue spaces with more complex shapes may cool larger areas, benefiting more residents; (3) the threshold values of efficiency (TVoE) of tree-based green spaces and water patches were both approximately 0.30 ha, increasing with spatial sprawl of impervious surfaces; and (4) water bodies have slightly higher cooling intensity and much larger cooling ranges than tree-based green spaces. Urban heat island Green space Water body Cooling range Cooling intensity Sun, Xiang verfasserin aut Huang, Chengdao verfasserin aut Yuan, Yuan verfasserin aut Hou, Donglin verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 67 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:67 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 67 |
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Tan, Xingyu |
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10.1016/j.scs.2021.102711 |
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690 720 |
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verfasserin |
title_sort |
comparison of cooling effect between green space and water body |
title_auth |
Comparison of cooling effect between green space and water body |
abstract |
The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selected as the typical case in the subtropical climate zone, and spatial and statistical analysis based on Landsat 8 OLI/TIRS images was conducted to compare the cooling effect and factors of blue and green spaces. Results showed that (1) the area-related green-space and water-body metrics are significantly positively correlated with the cooling effect. An additional 10 % of green space cover leads to a decline in the mean LST of 0.39 °C compared with a decline of 0.42 °C for water cover; (2) green and blue spaces with simple shapes and high fragmentation may have strong cooling effect, whereas green and blue spaces with more complex shapes may cool larger areas, benefiting more residents; (3) the threshold values of efficiency (TVoE) of tree-based green spaces and water patches were both approximately 0.30 ha, increasing with spatial sprawl of impervious surfaces; and (4) water bodies have slightly higher cooling intensity and much larger cooling ranges than tree-based green spaces. |
abstractGer |
The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selected as the typical case in the subtropical climate zone, and spatial and statistical analysis based on Landsat 8 OLI/TIRS images was conducted to compare the cooling effect and factors of blue and green spaces. Results showed that (1) the area-related green-space and water-body metrics are significantly positively correlated with the cooling effect. An additional 10 % of green space cover leads to a decline in the mean LST of 0.39 °C compared with a decline of 0.42 °C for water cover; (2) green and blue spaces with simple shapes and high fragmentation may have strong cooling effect, whereas green and blue spaces with more complex shapes may cool larger areas, benefiting more residents; (3) the threshold values of efficiency (TVoE) of tree-based green spaces and water patches were both approximately 0.30 ha, increasing with spatial sprawl of impervious surfaces; and (4) water bodies have slightly higher cooling intensity and much larger cooling ranges than tree-based green spaces. |
abstract_unstemmed |
The cooling effects of green spaces and water bodies are essential in subtropical cities with high temperatures combined with increasing urban heat island effect, while there is insufficient research on the difference between these two categories of cold sources. Therefore, Nanning, China, was selected as the typical case in the subtropical climate zone, and spatial and statistical analysis based on Landsat 8 OLI/TIRS images was conducted to compare the cooling effect and factors of blue and green spaces. Results showed that (1) the area-related green-space and water-body metrics are significantly positively correlated with the cooling effect. An additional 10 % of green space cover leads to a decline in the mean LST of 0.39 °C compared with a decline of 0.42 °C for water cover; (2) green and blue spaces with simple shapes and high fragmentation may have strong cooling effect, whereas green and blue spaces with more complex shapes may cool larger areas, benefiting more residents; (3) the threshold values of efficiency (TVoE) of tree-based green spaces and water patches were both approximately 0.30 ha, increasing with spatial sprawl of impervious surfaces; and (4) water bodies have slightly higher cooling intensity and much larger cooling ranges than tree-based green spaces. |
collection_details |
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title_short |
Comparison of cooling effect between green space and water body |
remote_bool |
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author2 |
Sun, Xiang Huang, Chengdao Yuan, Yuan Hou, Donglin |
author2Str |
Sun, Xiang Huang, Chengdao Yuan, Yuan Hou, Donglin |
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doi_str |
10.1016/j.scs.2021.102711 |
up_date |
2024-07-06T19:03:59.766Z |
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