An integrated study of urban microclimates in Chongqing, China: Historical weather data, transverse measurement and numerical simulation

Yao, Runming, Luo, Qing ORCID: https://orcid.org/0000-0002-2082-3958, Luo, Zhiwen ORCID: https://orcid.org/0000-0002-2082-3958, Jiang, Lai and Yang, Yu 2015. An integrated study of urban microclimates in Chongqing, China: Historical weather data, transverse measurement and numerical simulation. Sustainable Cities and Society 14 , pp. 187-199. 10.1016/j.scs.2014.09.007

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Abstract

Chongqing is the largest central-government-controlled municipality in China, which is now undergoing a rapid urbanization. The question remains open: What are the consequences of such rapid urbanization in Chongqing in terms of urban microclimates? An integrated study comprising three different research approaches is adopted in the present paper. By analyzing the observed annual climate data, an average rising trend of 0.10 °C/decade was found for the annual mean temperature from 1951 to 2010 in Chongqing, indicating a higher degree of urban warming in Chongqing. In addition, two complementary types of field measurements were conducted: fixed weather stations and mobile transverse measurement. Numerical simulations using a house-developed program are able to predict the urban air temperature in Chongqing. The urban heat island intensity in Chongqing is stronger in summer compared to autumn and winter. The maximum urban heat island intensity occurs at around midnight, and can be as high as 2.5 °C. In the daytime, an urban cool island exists. Local greenery has a great impact on the local thermal environment. Urban green spaces can reduce urban air temperature and therefore mitigate the urban heat island. The cooling effect of an urban river is limited in Chongqing, as both sides of the river are the most developed areas, but the relative humidity is much higher near the river compared with the places far from it.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Architecture
Additional Information:	Attribution 3.0 Unported (CC BY 3.0)
Publisher:	Elsevier
ISSN:	2210-6707
Date of First Compliant Deposit:	12 September 2022
Last Modified:	06 May 2023 12:32
URI:	https://orca.cardiff.ac.uk/id/eprint/151643

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