Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities

Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenari...
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Autor*in:	Wang, Shasha [verfasserIn] Zhan, Wenfeng [verfasserIn] Du, Huilin [verfasserIn] Wang, Chenguang [verfasserIn] Li, Long [verfasserIn] Jiang, Sida [verfasserIn] Fu, Huyan [verfasserIn] Miao, Shiqi [verfasserIn] Huang, Fan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Thermal comfort Universal thermal climate index Thermal comfort similarity Analog shift Future cities

Übergeordnetes Werk:	Enthalten in: Sustainable cities and society - Amsterdam [u.a.] : Elsevier, 2011, 82
Übergeordnetes Werk:	volume:82

DOI / URN:	10.1016/j.scs.2022.103889

Katalog-ID:	ELV007889674

Internformat


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520			\|a Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenarios remains unclear. This knowledge gap has significantly limited our understanding of future climate change and its effects on the living environment, especially from a human perception perspective. In this study, we identified the universal thermal climate index (UTCI) analogs of 352 cities in China under four specific emission scenarios for future periods (2021–2080). The results show that the UTCI analogs show significant spatial differentiation between cities. The analogs of northern cities primarily shift to cities with a neighboring latitude (–5° to 5°), whereas most central and southern cities mainly shift their analogs to lower-latitude cities. The shift to lower-latitude cities with latitude differences exceeding 5° is enhanced with time and increased anthropogenic emissions. In addition, compared with the temperature analogs, the shift of UTCI analogs is more intense and the shift direction is more complex. The results of this study provide insights into future climate change and heat-related health risks.
650		4	\|a Thermal comfort
650		4	\|a Universal thermal climate index
650		4	\|a Thermal comfort similarity
650		4	\|a Analog shift
650		4	\|a Future cities
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700	1		\|a Du, Huilin \|e verfasserin \|4 aut
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700	1		\|a Jiang, Sida \|e verfasserin \|4 aut
700	1		\|a Fu, Huyan \|e verfasserin \|4 aut
700	1		\|a Miao, Shiqi \|e verfasserin \|4 aut
700	1		\|a Huang, Fan \|e verfasserin \|4 aut
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publishDate	2022
allfields	10.1016/j.scs.2022.103889 doi (DE-627)ELV007889674 (ELSEVIER)S2210-6707(22)00212-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Wang, Shasha verfasserin aut Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenarios remains unclear. This knowledge gap has significantly limited our understanding of future climate change and its effects on the living environment, especially from a human perception perspective. In this study, we identified the universal thermal climate index (UTCI) analogs of 352 cities in China under four specific emission scenarios for future periods (2021–2080). The results show that the UTCI analogs show significant spatial differentiation between cities. The analogs of northern cities primarily shift to cities with a neighboring latitude (–5° to 5°), whereas most central and southern cities mainly shift their analogs to lower-latitude cities. The shift to lower-latitude cities with latitude differences exceeding 5° is enhanced with time and increased anthropogenic emissions. In addition, compared with the temperature analogs, the shift of UTCI analogs is more intense and the shift direction is more complex. The results of this study provide insights into future climate change and heat-related health risks. Thermal comfort Universal thermal climate index Thermal comfort similarity Analog shift Future cities Zhan, Wenfeng verfasserin aut Du, Huilin verfasserin aut Wang, Chenguang verfasserin aut Li, Long verfasserin aut Jiang, Sida verfasserin aut Fu, Huyan verfasserin aut Miao, Shiqi verfasserin aut Huang, Fan verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 82 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:82 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 82
spelling	10.1016/j.scs.2022.103889 doi (DE-627)ELV007889674 (ELSEVIER)S2210-6707(22)00212-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Wang, Shasha verfasserin aut Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenarios remains unclear. This knowledge gap has significantly limited our understanding of future climate change and its effects on the living environment, especially from a human perception perspective. In this study, we identified the universal thermal climate index (UTCI) analogs of 352 cities in China under four specific emission scenarios for future periods (2021–2080). The results show that the UTCI analogs show significant spatial differentiation between cities. The analogs of northern cities primarily shift to cities with a neighboring latitude (–5° to 5°), whereas most central and southern cities mainly shift their analogs to lower-latitude cities. The shift to lower-latitude cities with latitude differences exceeding 5° is enhanced with time and increased anthropogenic emissions. In addition, compared with the temperature analogs, the shift of UTCI analogs is more intense and the shift direction is more complex. The results of this study provide insights into future climate change and heat-related health risks. Thermal comfort Universal thermal climate index Thermal comfort similarity Analog shift Future cities Zhan, Wenfeng verfasserin aut Du, Huilin verfasserin aut Wang, Chenguang verfasserin aut Li, Long verfasserin aut Jiang, Sida verfasserin aut Fu, Huyan verfasserin aut Miao, Shiqi verfasserin aut Huang, Fan verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 82 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:82 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 82
allfields_unstemmed	10.1016/j.scs.2022.103889 doi (DE-627)ELV007889674 (ELSEVIER)S2210-6707(22)00212-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Wang, Shasha verfasserin aut Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenarios remains unclear. This knowledge gap has significantly limited our understanding of future climate change and its effects on the living environment, especially from a human perception perspective. In this study, we identified the universal thermal climate index (UTCI) analogs of 352 cities in China under four specific emission scenarios for future periods (2021–2080). The results show that the UTCI analogs show significant spatial differentiation between cities. The analogs of northern cities primarily shift to cities with a neighboring latitude (–5° to 5°), whereas most central and southern cities mainly shift their analogs to lower-latitude cities. The shift to lower-latitude cities with latitude differences exceeding 5° is enhanced with time and increased anthropogenic emissions. In addition, compared with the temperature analogs, the shift of UTCI analogs is more intense and the shift direction is more complex. The results of this study provide insights into future climate change and heat-related health risks. Thermal comfort Universal thermal climate index Thermal comfort similarity Analog shift Future cities Zhan, Wenfeng verfasserin aut Du, Huilin verfasserin aut Wang, Chenguang verfasserin aut Li, Long verfasserin aut Jiang, Sida verfasserin aut Fu, Huyan verfasserin aut Miao, Shiqi verfasserin aut Huang, Fan verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 82 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:82 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 82
allfieldsGer	10.1016/j.scs.2022.103889 doi (DE-627)ELV007889674 (ELSEVIER)S2210-6707(22)00212-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Wang, Shasha verfasserin aut Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenarios remains unclear. This knowledge gap has significantly limited our understanding of future climate change and its effects on the living environment, especially from a human perception perspective. In this study, we identified the universal thermal climate index (UTCI) analogs of 352 cities in China under four specific emission scenarios for future periods (2021–2080). The results show that the UTCI analogs show significant spatial differentiation between cities. The analogs of northern cities primarily shift to cities with a neighboring latitude (–5° to 5°), whereas most central and southern cities mainly shift their analogs to lower-latitude cities. The shift to lower-latitude cities with latitude differences exceeding 5° is enhanced with time and increased anthropogenic emissions. In addition, compared with the temperature analogs, the shift of UTCI analogs is more intense and the shift direction is more complex. The results of this study provide insights into future climate change and heat-related health risks. Thermal comfort Universal thermal climate index Thermal comfort similarity Analog shift Future cities Zhan, Wenfeng verfasserin aut Du, Huilin verfasserin aut Wang, Chenguang verfasserin aut Li, Long verfasserin aut Jiang, Sida verfasserin aut Fu, Huyan verfasserin aut Miao, Shiqi verfasserin aut Huang, Fan verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 82 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:82 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 82
allfieldsSound	10.1016/j.scs.2022.103889 doi (DE-627)ELV007889674 (ELSEVIER)S2210-6707(22)00212-8 DE-627 ger DE-627 rda eng 690 720 DE-600 Wang, Shasha verfasserin aut Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenarios remains unclear. This knowledge gap has significantly limited our understanding of future climate change and its effects on the living environment, especially from a human perception perspective. In this study, we identified the universal thermal climate index (UTCI) analogs of 352 cities in China under four specific emission scenarios for future periods (2021–2080). The results show that the UTCI analogs show significant spatial differentiation between cities. The analogs of northern cities primarily shift to cities with a neighboring latitude (–5° to 5°), whereas most central and southern cities mainly shift their analogs to lower-latitude cities. The shift to lower-latitude cities with latitude differences exceeding 5° is enhanced with time and increased anthropogenic emissions. In addition, compared with the temperature analogs, the shift of UTCI analogs is more intense and the shift direction is more complex. The results of this study provide insights into future climate change and heat-related health risks. Thermal comfort Universal thermal climate index Thermal comfort similarity Analog shift Future cities Zhan, Wenfeng verfasserin aut Du, Huilin verfasserin aut Wang, Chenguang verfasserin aut Li, Long verfasserin aut Jiang, Sida verfasserin aut Fu, Huyan verfasserin aut Miao, Shiqi verfasserin aut Huang, Fan verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 82 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:82 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 82
language	English
source	Enthalten in Sustainable cities and society 82 volume:82
sourceStr	Enthalten in Sustainable cities and society 82 volume:82
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Thermal comfort Universal thermal climate index Thermal comfort similarity Analog shift Future cities
dewey-raw	690
isfreeaccess_bool	false
container_title	Sustainable cities and society
authorswithroles_txt_mv	Wang, Shasha @@aut@@ Zhan, Wenfeng @@aut@@ Du, Huilin @@aut@@ Wang, Chenguang @@aut@@ Li, Long @@aut@@ Jiang, Sida @@aut@@ Fu, Huyan @@aut@@ Miao, Shiqi @@aut@@ Huang, Fan @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	635602792
dewey-sort	3690
id	ELV007889674
language_de	englisch
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author	Wang, Shasha
spellingShingle	Wang, Shasha ddc 690 misc Thermal comfort misc Universal thermal climate index misc Thermal comfort similarity misc Analog shift misc Future cities Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities
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topic_title	690 720 DE-600 Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities Thermal comfort Universal thermal climate index Thermal comfort similarity Analog shift Future cities
topic	ddc 690 misc Thermal comfort misc Universal thermal climate index misc Thermal comfort similarity misc Analog shift misc Future cities
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title	Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities
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title_full	Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities
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title_sort	identifying analogs of future thermal comfort under multiple projection scenarios in 352 chinese cities
title_auth	Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities
abstract	Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenarios remains unclear. This knowledge gap has significantly limited our understanding of future climate change and its effects on the living environment, especially from a human perception perspective. In this study, we identified the universal thermal climate index (UTCI) analogs of 352 cities in China under four specific emission scenarios for future periods (2021–2080). The results show that the UTCI analogs show significant spatial differentiation between cities. The analogs of northern cities primarily shift to cities with a neighboring latitude (–5° to 5°), whereas most central and southern cities mainly shift their analogs to lower-latitude cities. The shift to lower-latitude cities with latitude differences exceeding 5° is enhanced with time and increased anthropogenic emissions. In addition, compared with the temperature analogs, the shift of UTCI analogs is more intense and the shift direction is more complex. The results of this study provide insights into future climate change and heat-related health risks.
abstractGer	Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenarios remains unclear. This knowledge gap has significantly limited our understanding of future climate change and its effects on the living environment, especially from a human perception perspective. In this study, we identified the universal thermal climate index (UTCI) analogs of 352 cities in China under four specific emission scenarios for future periods (2021–2080). The results show that the UTCI analogs show significant spatial differentiation between cities. The analogs of northern cities primarily shift to cities with a neighboring latitude (–5° to 5°), whereas most central and southern cities mainly shift their analogs to lower-latitude cities. The shift to lower-latitude cities with latitude differences exceeding 5° is enhanced with time and increased anthropogenic emissions. In addition, compared with the temperature analogs, the shift of UTCI analogs is more intense and the shift direction is more complex. The results of this study provide insights into future climate change and heat-related health risks.
abstract_unstemmed	Thermal comfort analogs can be used to quantify the similarity of thermal comfort between current and future climates and are critical for raising awareness of future climate change. However, the similarity of thermal comfort analogs in consecutive future periods and under different emission scenarios remains unclear. This knowledge gap has significantly limited our understanding of future climate change and its effects on the living environment, especially from a human perception perspective. In this study, we identified the universal thermal climate index (UTCI) analogs of 352 cities in China under four specific emission scenarios for future periods (2021–2080). The results show that the UTCI analogs show significant spatial differentiation between cities. The analogs of northern cities primarily shift to cities with a neighboring latitude (–5° to 5°), whereas most central and southern cities mainly shift their analogs to lower-latitude cities. The shift to lower-latitude cities with latitude differences exceeding 5° is enhanced with time and increased anthropogenic emissions. In addition, compared with the temperature analogs, the shift of UTCI analogs is more intense and the shift direction is more complex. The results of this study provide insights into future climate change and heat-related health risks.
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title_short	Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities
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author2	Zhan, Wenfeng Du, Huilin Wang, Chenguang Li, Long Jiang, Sida Fu, Huyan Miao, Shiqi Huang, Fan
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up_date	2024-07-06T17:49:05.262Z
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Identifying analogs of future thermal comfort under multiple projection scenarios in 352 Chinese cities

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