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http://hdl.handle.net/20.500.11765/14853
Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China)
Título : | Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: A case study in the Yangtze River Delta (China) |
Autor : | Zhang, Gangfeng; Azorín Molina, César; Wang, Xuejia; Chen, Deliang; McVicar, Tim R.; Guijarro Pastor, José Antonio ; Chappell, Adrian; Deng, Kaiqiang; Minola, Lorenzo; Kong, Feng; Wang, Shuo; Shi, Peijun |
Palabras clave : | Daily maximum wind speed; Trend; Urbanization; Yangtze River Delta; Regional climate model |
Fecha de publicación : | 2022 |
Editor: | Elsevier |
Citación : | Urban Climate. 2022, 43, 101147 |
Versión del editor: | https://doi.org/10.1016/j.uclim.2022.101147 |
Resumen : | 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. |
Patrocinador: | 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). |
URI : | http://hdl.handle.net/20.500.11765/14853 |
ISSN : | 2212-0955 |
Colecciones: | Artículos científicos 2019-2022 |
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