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Coupling between Surface and Canopy Urban Heat Islands: Implications for Heat Stress

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 5133

Special Issue Editors


E-Mail Website
Guest Editor
Yale University, New Haven, CT 06520, USA
Interests: atmosphere–biosphere interactions; urban heat islands; boundary-layer meteorology; remote sensing

E-Mail Website
Guest Editor
Yale University, New Haven, CT 06520, USA
Interests: aerosol–climate interactions; urban heat islands; boundary-layer meteorology; remote sensing

Special Issue Information

Dear Colleagues,

The urban heat island (UHI) effect—the presence of higher temperatures in cities—is a well-known impact of urbanization at the local scale. With the majority of the global population expected to live in urban areas in the future and the UHI adversely affecting public health through increased heat stress, understanding, predicting, and mitigating the UHI is becoming increasingly relevant as we prepare for a warmer future. The UHI is generally measured using either ground-based weather stations or through satellite observations. These two measures of the UHI are not identical, since weather stations measure the air temperature within the urban canopy layer, while satellites detect the radiometric temperature of the urban land surface. Accordingly, these two types of UHIs are termed the canopy and surface UHI, respectively. The methodological convenience of using satellite observations has led to a proliferation of studies on the surface UHI. However, a handful of studies have demonstrated that surface UHI and canopy UHI are not identical, with possibly differing diurnal and seasonal trends. Given that air temperature is more relevant for public health, while surface temperature influences local weather and climate, it is important to understand how these two variables—canopy and surface UHI—vary across space and time.

This Special Issue aims to better understand the interactions between canopy and surface UHI across different climate zones and urban forms, and what that means for urban heat stress for the present and in the future. We invite single- as well as multi-city studies on understanding and quantifying the degree of coupling between canopy and surface UHI using satellite data, numerical weather modeling, weather station measurements, etc. Additionally, contributions examining the heat stress caused by urbanization and how well that relates to satellite-derived estimates of surface UHI are also welcome.

Prof. Xuhui Lee
Mr. TC Chakraborty
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • urbanization
  • urban heat islands
  • canopy UHI
  • surface UHI
  • heat stress
  • remote sensing

Published Papers (2 papers)

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Research

13 pages, 3420 KiB  
Article
Quantitative Analysis of Spatial Heterogeneity and Driving Forces of the Thermal Environment in Urban Built-up Areas: A Case Study in Xi’an, China
by Xuan Zhao, Jianjun Liu and Yuankun Bu
Sustainability 2021, 13(4), 1870; https://doi.org/10.3390/su13041870 - 9 Feb 2021
Cited by 16 | Viewed by 2576
Abstract
Clarifying the spatial heterogeneity of urban heat island (UHI) effect is of great significance for promoting sustainable urban development. A GeoDetector was used to detect the influential natural and society factors. Natural factors (normalized difference vegetation index (NDVI), soil-regulating vegetation index [...] Read more.
Clarifying the spatial heterogeneity of urban heat island (UHI) effect is of great significance for promoting sustainable urban development. A GeoDetector was used to detect the influential natural and society factors. Natural factors (normalized difference vegetation index (NDVI), soil-regulating vegetation index (SAVI), normalized building index (NDBI), and modified normalized difference water index (MNDWI)) as well as society factors (road density (RDD), and population density (POPD)) were selected as driving factors to be tested for their explanatory power for land surface temperature (LST). Results indicated that the Moran’s I index value for the LST of the built-up area is 0.778. The top three factors influencing the LST were NDBI, NDVI, and SAVI, the explanatory power of which was 0.7593, 0.6356, and 0.6356, respectively. The interactive explanatory power for NDBI and MNDWI was 0.8108 and for NDBI and RDD was 0.8002, these two interactions are double enhanced interaction relationships. The results of this study play a guiding role in the development of urban thermal environment regulation schemes and ecological environment planning. Full article
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19 pages, 6181 KiB  
Article
Transformation of Urban Surfaces and Heat Islands in Nanjing during 1984–2018
by Yanxia Li, Xinkai Zhang, Sijie Zhu, Xiaoyu Wang, Yongdong Lu, Sihong Du and Xing Shi
Sustainability 2020, 12(16), 6521; https://doi.org/10.3390/su12166521 - 12 Aug 2020
Cited by 7 | Viewed by 1875
Abstract
One of the many consequences of urbanization is the expansion of cities into rural areas, which leads to the transformation of lands from natural surfaces to developed surfaces. It is widely considered an established fact that urbanization generally increases the heat island effect. [...] Read more.
One of the many consequences of urbanization is the expansion of cities into rural areas, which leads to the transformation of lands from natural surfaces to developed surfaces. It is widely considered an established fact that urbanization generally increases the heat island effect. The objective of this study is to understand the pattern of urban surface transformation in the city of Nanjing since 1980 and to find, if any, the correlation between such transformation and the urban heat island effect. The supervised classification technique was used to analyze the remote sensing data obtained from Landsat to identify the different kinds of underlying surfaces. Land surface temperatures were calculated using a subset of Landsat data. The correlation between the transformation of underlying surfaces and the heat island effect was established through analytical and statistical approaches. The results clearly show that the proportion of developed surfaces has been steadily rising in Nanjing in the past 30 years and that the urban heat island effect is positively correlated with the expansion of hard pavement and the deterioration of green surfaces and water bodies considering the general trend. Full article
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