Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)

Wind extremes cause many environmental and natural hazard related problems globally, particularly in heavily populated metropolitan areas. However, the underlying causes of maximum wind speed variability in urbanized regions remain largely unknown. Here, we investigated how rapid urbanization in the...

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Autores: Zhang, Gangfeng, Azorín-Molina, César, Wang, Xuejia, Chen, Deliang, McVicar, Tim R., Guijarro, José A., Chappell, Adrian, Deng, Kaiqiang, Minola, L., Kong, Feng, Wang, Shuo, Shi, Peijung
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/284511
Acceso en línea:http://hdl.handle.net/10261/284511
Access Level:acceso abierto
Palabra clave:Daily maximum wind speed
Trend
Urbanization
Regional climate model
Yangtze River Delta
http://metadata.un.org/sdg/11
Make cities and human settlements inclusive, safe, resilient and sustainable
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spelling Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)Zhang, GangfengAzorín-Molina, CésarWang, XuejiaChen, DeliangMcVicar, Tim R.Guijarro, José A.Chappell, AdrianDeng, KaiqiangMinola, L.Kong, FengWang, ShuoShi, PeijungDaily maximum wind speedTrendUrbanizationRegional climate modelYangtze River Deltahttp://metadata.un.org/sdg/11Make cities and human settlements inclusive, safe, resilient and sustainableWind extremes cause many environmental and natural hazard related problems globally, particularly in heavily populated metropolitan areas. However, the underlying causes of maximum wind speed variability in urbanized regions remain largely unknown. Here, we investigated how rapid urbanization in the Yangtze River Delta (YRD), China, impacted daily maximum wind speed (DMWS) between 1990 and 2015, based on near-surface (10 m height) DMWS observations, reanalysis datasets, and night-time lighting data (a proxy for urbanization). The station observation shows that annual DMWS in the YRD significantly (p < 0.05) declined during 1990–2015, by −0.209 m s−1 decade−1, while slightly (p > 0.1) positive trends were found in NCEP-NCAR1 (+0.048 m s−1 decade−1) and ERA5 (+0.027 m s−1 decade−1). An increasing divergence between the reanalysis output and the station observation since 2005 was found, and those stations located in areas with high rates of urbanization show the strongest negative annual DMWS trend, implying the key role of urbanization in weakening DMWS. This finding is supported by sensitivity experiments conducted using a regional climate model (RegCM4) forced with both 1990 and 2015 land-use and land-cover (LULC) data, where the simulated DMWS using the 2015 LULC data was lower than that simulated using the 1990 LULC data.This study was supported by the Second Tibetan Plateau Scientific Expedition and Research Program (STEP, Grant No. 2019QZKK0606), the National Natural Science Foundation of China (Grant No. 42101027 and No.41621061). This work was also supported by a Swedish Research Council (2017-03780) and a Swedish Research Council for Sustainable Development (2019-00509) grant, and by the IBER-STILLING project, funded by the Spanish Ministry of Science, Innovation and Universities (RTI2018-095749-A-I00; MCIU/AEI/FEDER, UE). C.A.M. was supported by a Ramon y Cajal fellowship (RYC-2017-22830). L.M. was founded by the International Postdoc grant from the Swedish Research Council (2021-00444).ElsevierNational Natural Science Foundation of ChinaSwedish Research Council for Sustainable DevelopmentMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)Ministerio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2022202220222022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Preprintinfo:eu-repo/semantics/submittedVersionapplication/pdfhttp://hdl.handle.net/10261/284511reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095749-A-I00info:eu-repo/grantAgreement///http://dx.doi.org/10.1016/j.uclim.2022.101147Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2845112026-05-22T06:33:51Z
dc.title.none.fl_str_mv Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)
title Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)
spellingShingle Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)
Zhang, Gangfeng
Daily maximum wind speed
Trend
Urbanization
Regional climate model
Yangtze River Delta
http://metadata.un.org/sdg/11
Make cities and human settlements inclusive, safe, resilient and sustainable
title_short Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)
title_full Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)
title_fullStr Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)
title_full_unstemmed Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)
title_sort Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)
dc.creator.none.fl_str_mv Zhang, Gangfeng
Azorín-Molina, César
Wang, Xuejia
Chen, Deliang
McVicar, Tim R.
Guijarro, José A.
Chappell, Adrian
Deng, Kaiqiang
Minola, L.
Kong, Feng
Wang, Shuo
Shi, Peijung
author Zhang, Gangfeng
author_facet Zhang, Gangfeng
Azorín-Molina, César
Wang, Xuejia
Chen, Deliang
McVicar, Tim R.
Guijarro, José A.
Chappell, Adrian
Deng, Kaiqiang
Minola, L.
Kong, Feng
Wang, Shuo
Shi, Peijung
author_role author
author2 Azorín-Molina, César
Wang, Xuejia
Chen, Deliang
McVicar, Tim R.
Guijarro, José A.
Chappell, Adrian
Deng, Kaiqiang
Minola, L.
Kong, Feng
Wang, Shuo
Shi, Peijung
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv National Natural Science Foundation of China
Swedish Research Council for Sustainable Development
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Daily maximum wind speed
Trend
Urbanization
Regional climate model
Yangtze River Delta
http://metadata.un.org/sdg/11
Make cities and human settlements inclusive, safe, resilient and sustainable
topic Daily maximum wind speed
Trend
Urbanization
Regional climate model
Yangtze River Delta
http://metadata.un.org/sdg/11
Make cities and human settlements inclusive, safe, resilient and sustainable
description Wind extremes cause many environmental and natural hazard related problems globally, particularly in heavily populated metropolitan areas. However, the underlying causes of maximum wind speed variability in urbanized regions remain largely unknown. Here, we investigated how rapid urbanization in the Yangtze River Delta (YRD), China, impacted daily maximum wind speed (DMWS) between 1990 and 2015, based on near-surface (10 m height) DMWS observations, reanalysis datasets, and night-time lighting data (a proxy for urbanization). The station observation shows that annual DMWS in the YRD significantly (p < 0.05) declined during 1990–2015, by −0.209 m s−1 decade−1, while slightly (p > 0.1) positive trends were found in NCEP-NCAR1 (+0.048 m s−1 decade−1) and ERA5 (+0.027 m s−1 decade−1). An increasing divergence between the reanalysis output and the station observation since 2005 was found, and those stations located in areas with high rates of urbanization show the strongest negative annual DMWS trend, implying the key role of urbanization in weakening DMWS. This finding is supported by sensitivity experiments conducted using a regional climate model (RegCM4) forced with both 1990 and 2015 land-use and land-cover (LULC) data, where the simulated DMWS using the 2015 LULC data was lower than that simulated using the 1990 LULC data.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Preprint
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/284511
url http://hdl.handle.net/10261/284511
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095749-A-I00
info:eu-repo/grantAgreement///
http://dx.doi.org/10.1016/j.uclim.2022.101147
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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