Managing the adverse thermal effects of urban development in a densely populated Chinese city

Weng, Qihao; Yang, Shiyi

doi:10.1016/j.jenvman.2003.11.006

Cited by 189 publications

(98 citation statements)

References 12 publications

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“…Also, the interpolation method itself may introduce some uncertainties because of the sparse distribution of the stations. In order to evaluate our results we compared our study with that of Weng and Yang (2004) which examines the impact of urban development on UHI through a historical analysis of urban-rural air temperature differences. Weng and Yang (2004) indicates that during 1985-1995 and 1996-2000, Assessing the effect of land use=land cover change on the change of urban heat island intensity 223 the average intensity of the UHI is 0.7 C=year and À0.13…”

Section: Discussionmentioning

confidence: 99%

Assessing the effect of land use/land cover change on the change of urban heat island intensity

Liu

Zhuang

et al. 2007

Theor. Appl. Climatol.

128

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SummaryDue to rapid economic development, China has experienced one of the greatest rates of change in land use=land cover during the last two decades. This change is mainly urban expansion and cultivated land reduction in urban growth regions, both of which play an important role in regional climate change. In this paper, the variation of the urban heat island (UHI) caused by urbanization has been evaluated with an analysis of land use change in China. First, meteorological observation stations were grouped by different land cover types (dry land, paddy field, forest, grassland, water field, urban, rural inhabitable area, industrial and mineral land, and waste land) throughout China. These stations were subdivided into urban and non-urban classes. Then, a new method was proposed to determine the UHI intensity from the difference between the observed and the interpolated air temperature of urban type weather stations. The results indicate that the trends of UHI intensity in different land use change regions are spatially correlated with regional land use and its change pattern. During 1991-2000, the estimated UHI intensity has increased by 0.11 C per decade in the spring and has fluctuated in other seasons throughout China resulting from land use change.

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Section: Discussionmentioning

confidence: 99%

Assessing the effect of land use/land cover change on the change of urban heat island intensity

Liu

Zhuang

et al. 2007

Theor. Appl. Climatol.

128

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“…Landsat 5 TM and Landsat 8 OLI thermal infrared data with 120 and 100 m spatial resolutions, respectively, have been utilized for local-scale studies of UHI (Bendib, Dridi, & Kalla, 2017;Chen, Wang, & Li, 2002;Weng, 2001;Weng & Yang, 2004;Zhang et al, 2016). A variety of algorithms have been developed to retrieve LST from Landsat data, such as mono-window algorithm (Qin, Karnieli, & Berliner, 2001), single-channel algorithm (Munoz et al, 2009;Munoz & Sobrino, 2003), etc.…”

Section: Introductionmentioning

confidence: 99%

Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy

Guha

Govil

Dey³

et al. 2018

European Journal of Remote Sensing

401

153

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The present study focuses on determining the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) for Florence and Naples cities in Italy using Landsat 8 data. The study also classifies different land use/land cover LU-LC) types using NDVI and NDBI threshold values, iterative self-organizing data analysis technique and maximum likelihood classifier, and analyses the relationship built by LST with the built-up area and bare land. Urban thermal field variance index was applied to determine the thermal and ecological comfort level of the city. Several urban heat islands (UHIs) were extracted as the most heated zones within the city boundaries due to increasing anthropogenic activities. The difference between the mean LST of UHI and non-UHI is 3.15°C and 3.31°C, respectively, for Florence and Naples. LST build a strong correlation with NDVI (negative) and NDBI (positive) for both the cities as a whole, especially for the non-UHIs. But, the strength of correlation becomes much weaker within the UHIs. Moreover, most of the UHIs (85.21% in Naples and 76.62% in Florence) are developed within the built-up area or bare land and are demarcated as an ecologically stressed zone. ARTICLE HISTORY

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“…Urbanization and transformation of the earth surface to urban application illustrate huge changes in global usage of the land and provide considerable influence on the environment (Weng and Yang, 2004). The population in global urban areas has risen quickly from 13% in 1900 up to 46% in 2000, and it is believed that it can go up to 69% by 2050.…”

Section: Introductionmentioning

confidence: 99%

“…Higher temperatures for urban areas may increase the usage of energy, due to a larger need for air conditioning, and since power plants consume more fossil fuels, they overdrive both energy costs and pollution levels (Weng and Yang, 2004). Hence, there is a big urgency to assess strategies, which can mitigate further rises in urban temperatures (Bowler et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Water Bodies an Urban Microclimate: A Review

Manteghi¹,

Limit²,

Remaz³

2015

MAS

132

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In urban areas, water bodies have a positive effect upon microclimate of the surroundings with the relative cooling impact it has on evaporative procedure. Hence, evaporative cooling might be one of the pretty efficient methods of passive cooling for urban spaces and buildings. Differences in temperature between the urban space and the non-urban space which surrounds, is dubbed UHI (Urban Heat Island) effect. Water bodies have also been proven to be influential methods of decreasing urban temperatures. A water body temperature is capable of being lower than the surrounding urban environment around 2 -6 °C. According to these findings; one may conclude that the rise of evapotranspiration in cities, that has roots in vegetation and water body, can efficiently mitigate the influence of the urban heat island. Unfortunately, the effect that water bodies can have upon urban temperatures has not been thoroughly assessed in previous studies, specifically the difference between the daytime and night time influences of water bodies, and the matter the how urban design may be in influential in moving the cooling influence from the water bodies toward the city. This paper provides a theoretical background for the problem and reviews the related literature.

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Managing the adverse thermal effects of urban development in a densely populated Chinese city

Cited by 189 publications

References 12 publications

Assessing the effect of land use/land cover change on the change of urban heat island intensity

Assessing the effect of land use/land cover change on the change of urban heat island intensity

Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy

Water Bodies an Urban Microclimate: A Review

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