Analysis of diurnal surface temperature variations for the assessment of surface urban heat island effect over Indian cities

Mathew, Aneesh; Khandelwal, Sumit; Kaul, Nivedita

doi:10.1016/j.enbuild.2017.10.062

Cited by 114 publications

(30 citation statements)

References 74 publications

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“…Previous UHI studies either used remote sensing thermal data to report land surface temperatures [29][30][31][32] or analyzed the heat flux using in situ instrumental measurements to represent air temperatures independently [33][34][35]. In recent years, thermal remote sensing data have received renewed attention due to their ability to retrieve surface temperatures [36].…”

Section: Discussionmentioning

confidence: 99%

On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures

et al. 2021

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The changing climate has introduced new and unique challenges and threats to humans and their environment. Urban dwellers in particular have suffered from increased levels of heat stress, and the situation is predicted to continue to worsen in the future. Attention toward urban climate change adaptation has increased more than ever before, but previous studies have focused on indoor and outdoor temperature patterns separately. The objective of this research is to assess the indoor and outdoor temperature patterns of different urban settlements. Remote sensing data, together with air temperature data collected with temperature data loggers, were used to analyze land surface temperature (outdoor temperature) and air temperature (indoor temperature). A hot and cold spot analysis was performed to identify the statistically significant clusters of high and low temperature data. The results showed a distinct temperature pattern across different residential units. Districts with dense urban settlements show a warmer outdoor temperature than do more sparsely developed districts. Dense urban settlements show cooler indoor temperatures during the day and night, while newly built districts show cooler outdoor temperatures during the warm season. Understanding indoor and outdoor temperature patterns simultaneously could help to better identify districts that are vulnerable to heat stress in each city. Recognizing vulnerable districts could minimize the impact of heat stress on inhabitants.

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Section: Discussionmentioning

confidence: 99%

On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures

et al. 2021

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“…The urban heat island (UHI) effect in metropolitan areas means that certain areas of cities are significantly warmer than the surrounding areas [1][2][3]. Higher levels of anthropogenic heat, reduced urban vegetation, and very dense settlement structures without wind corridors are identified as important reasons for the UHI effect.…”

Section: Introductionmentioning

confidence: 99%

Willingness to Pay for Urban Heat Island Mitigation: A Case Study of Singapore

Borzino

Chng

Mughal

et al. 2020

Climate

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In many countries, urban heat island (UHI) effects come along with urbanization in metropolitan areas. They have relevant adverse effects on the health and wellbeing of citizens. Singapore is strongly affected by UHI. In this study, we assess Singaporeans’ willingness to pay (WTP) for UHI mitigation by implementing a contingent valuation analysis. Specifically, we employ a double-bounded dichotomous survey design on a representative sample of 1822 online respondents. We find that Singaporeans are willing to sacrifice on average 0.43% of their annual income to mitigate UHI. The total WTP for mitigation strategies among Singapore citizens and permanent residents is estimated at SGD$783.08 million per year, the equivalent of USD$563.80 per year. Our findings suggest that there is a positive and significant relationship between the size of UHI effects and the citizens’ WTP. People living in the region with the highest intensity of UHI are willing to pay 3.09 times more than those living in the region with the lowest UHI intensity. Furthermore, demographic and socio-economic characteristics are significant determinants of Singaporeans’ WTP. The WTP increases with income and education but decreases with age. Students, men, and people with children are willing to pay more. Additional analyses show that the level of UHI awareness, positive attitudes towards UHI mitigation strategies as well as preferences for outdoor activities are positively correlated with the WTP. Our findings suggest that citizens are aware of the impacts of UHI and support UHI mitigation measures to be financed by their taxes. Policy interventions to promote UHI-related education and disseminating UHI-related information might increase the support of UHI mitigation policies.

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“…On the one hand, research on it would be helpful to know local climate (Pike et al, 2012), plant growth (Orlandini et al, 2006), local ecology (Armbruster et al, 2007), and earth surface processes. For example, diurnal temperature variation is an important index for urban heat island effect (Mathew et al, 2018); it has an impact on proanthocyanidin accumulation in grape skins (Cohen et al, 2012); and it is also used to estimate pore water fluid flux then further infer vertical groundwater-surface water exchange (Irvine et al, 2017). On the other hand, diurnal temperature could improve fine weather forecast.…”

Section: Introductionmentioning

confidence: 99%

Stability and long-range correlation of air temperature in the Heihe River Basin

Yang

2019

J. Geogr. Sci.

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Air temperature (AT) is a subsystem of a complex climate. Long-range correlation (LRC) is an important feature of complexity. Our research attempt to evaluate AT's complexity differences in different land-use types in the Heihe River Basin (HRB) based on the stability and LRC. The results show the following: (1) AT's stability presents differences in different land-use types. In agricultural land, there is no obvious variation in the trend throughout the year. Whereas in a desert, the variation in the trend is obvious: the AT is more stable in summer than it is in winter, with T a ranges of [8, 20]°C and SD of the AT residual ranges of [0.2, 0.7], respectively. Additionally, in mountainous areas, when the altitude is beyond a certain value, AT's stability changes. (2) AT's LRC presents differences in different land-use types. In agricultural land, the long-range correlation of AT is the most persistent throughout the year, showing the smallest difference between summer and winter, with the Hs range of [0.8, 1]. Vegetation could be an important factor. In a desert, the long-range correlation of AT is less persistent, showing the greatest difference between summer and winter, with the Hs range of [0.54, 0.96]. Solar insolation could be a dominant factor. In an alpine meadow, the long-range correlation of AT is the least persistent throughout the year, presenting a smaller difference between summer and winter, with the Hs range of [0.6, 0.85]. Altitude could be an important factor. (3) Usually, LRC is a combination of the T a and SD of the AT residuals. A larger T a and smaller SD of the AT residual would be conducive to a more persistent LRC, whereas a smaller T a and larger SD of the AT residual would limit the persistence of LRC. A larger T a and SD of the AT residual would create persistence to a degree between those of the first two cases, as would a smaller T a and SD of the AT residual. In addition, the last two cases might show the same LRC.

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Analysis of diurnal surface temperature variations for the assessment of surface urban heat island effect over Indian cities

Cited by 114 publications

References 74 publications

On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures

On the Spatial Patterns of Urban Thermal Conditions Using Indoor and Outdoor Temperatures

Willingness to Pay for Urban Heat Island Mitigation: A Case Study of Singapore

Stability and long-range correlation of air temperature in the Heihe River Basin

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