Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model

Abstract As one of the effective ways to study urban climate and environmental problems, the performance of numerical model could be improved in urban areas by enhancing the description of urban morphology. One of the largest challenges faced by researchers is the lack of real urban canopy parameter...

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Autores principales:	Yong Sun, Ning Zhang, Shiguang Miao, Fanhua Kong, Yizhou Zhang, Nana Li
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2021
Materias:	urban morphological parameters WRF numerical simulation urban canopy model Physical geography GB3-5030 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/eb7a7c36eddb486584dd9891bedd26c0
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spelling	oai:doaj.org-article:eb7a7c36eddb486584dd9891bedd26c02021-11-12T07:13:23ZUrban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model1942-246610.1029/2020MS002382https://doaj.org/article/eb7a7c36eddb486584dd9891bedd26c02021-08-01T00:00:00Zhttps://doi.org/10.1029/2020MS002382https://doaj.org/toc/1942-2466Abstract As one of the effective ways to study urban climate and environmental problems, the performance of numerical model could be improved in urban areas by enhancing the description of urban morphology. One of the largest challenges faced by researchers is the lack of real urban canopy parameters (UCPs) to represent urban morphological characteristics. In this study, the urban morphological parameters were estimated and a high‐resolution urban morphological parameter data set for the main cities in China was developed. The results show that the distribution of urban morphological parameters is of regional characteristics and cities in China are mainly dominated by low‐rise buildings. Chinese cities can be broadly divided into two types based on the probability distribution of building height: single‐peak and double‐peak. The number of low‐rise buildings in single‐peak cities is much larger than that of double‐peak cities, which contributes to the difference between the two types of cities. The equivalent street width of northern cities in China is higher than that of southern cities, and the equivalent building width is almost the same. However, the default UCPs of the Weather Research and Forecasting (WRF) model distort the morphology of Chinese cities. The sensitivity of the WRF model to urban morphological parameters was also investigated in Nanjing. Overall, our results indicate that urban morphological parameters have a significant influence on the energy balance process in cities and improve the performance of the WRF model in simulating the air temperature and canopy wind speed.Yong SunNing ZhangShiguang MiaoFanhua KongYizhou ZhangNana LiAmerican Geophysical Union (AGU)articleurban morphological parametersWRFnumerical simulationurban canopy modelPhysical geographyGB3-5030OceanographyGC1-1581ENJournal of Advances in Modeling Earth Systems, Vol 13, Iss 8, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	urban morphological parameters WRF numerical simulation urban canopy model Physical geography GB3-5030 Oceanography GC1-1581
spellingShingle	urban morphological parameters WRF numerical simulation urban canopy model Physical geography GB3-5030 Oceanography GC1-1581 Yong Sun Ning Zhang Shiguang Miao Fanhua Kong Yizhou Zhang Nana Li Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model
description	Abstract As one of the effective ways to study urban climate and environmental problems, the performance of numerical model could be improved in urban areas by enhancing the description of urban morphology. One of the largest challenges faced by researchers is the lack of real urban canopy parameters (UCPs) to represent urban morphological characteristics. In this study, the urban morphological parameters were estimated and a high‐resolution urban morphological parameter data set for the main cities in China was developed. The results show that the distribution of urban morphological parameters is of regional characteristics and cities in China are mainly dominated by low‐rise buildings. Chinese cities can be broadly divided into two types based on the probability distribution of building height: single‐peak and double‐peak. The number of low‐rise buildings in single‐peak cities is much larger than that of double‐peak cities, which contributes to the difference between the two types of cities. The equivalent street width of northern cities in China is higher than that of southern cities, and the equivalent building width is almost the same. However, the default UCPs of the Weather Research and Forecasting (WRF) model distort the morphology of Chinese cities. The sensitivity of the WRF model to urban morphological parameters was also investigated in Nanjing. Overall, our results indicate that urban morphological parameters have a significant influence on the energy balance process in cities and improve the performance of the WRF model in simulating the air temperature and canopy wind speed.
format	article
author	Yong Sun Ning Zhang Shiguang Miao Fanhua Kong Yizhou Zhang Nana Li
author_facet	Yong Sun Ning Zhang Shiguang Miao Fanhua Kong Yizhou Zhang Nana Li
author_sort	Yong Sun
title	Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model
title_short	Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model
title_full	Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model
title_fullStr	Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model
title_full_unstemmed	Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model
title_sort	urban morphological parameters of the main cities in china and their application in the wrf model
publisher	American Geophysical Union (AGU)
publishDate	2021
url	https://doaj.org/article/eb7a7c36eddb486584dd9891bedd26c0
work_keys_str_mv	AT yongsun urbanmorphologicalparametersofthemaincitiesinchinaandtheirapplicationinthewrfmodel AT ningzhang urbanmorphologicalparametersofthemaincitiesinchinaandtheirapplicationinthewrfmodel AT shiguangmiao urbanmorphologicalparametersofthemaincitiesinchinaandtheirapplicationinthewrfmodel AT fanhuakong urbanmorphologicalparametersofthemaincitiesinchinaandtheirapplicationinthewrfmodel AT yizhouzhang urbanmorphologicalparametersofthemaincitiesinchinaandtheirapplicationinthewrfmodel AT nanali urbanmorphologicalparametersofthemaincitiesinchinaandtheirapplicationinthewrfmodel
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Urban Morphological Parameters of the Main Cities in China and Their Application in the WRF Model

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