Land use/land cover change and surface urban heat island intensity: source–sink landscape-based study in Delhi, India

Pramanik, Suvamoy; Punia, Milap

doi:10.1007/s10668-019-00515-0

Cited by 71 publications

(26 citation statements)

References 27 publications

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“…In a very dense area, urbanisation and densification have caused heat to trap and increased SUHII. Vegetated areas have the ability to reduce and maintain the thermal intensity of densified urban areas, which is critical for sustainable urban planning (Pramanik and Punia 2020). The thermal physics of the built-up cover was also explained to SUHII by keeping in mind the thermal conductivity of the material, the basic heat power of the material, and thermal conduction, etc.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal shifts in thermal climate in responses to urban cover changes: a-case analysis of major cities in Punjab, Pakistan

Dilawar

Chen

Trisurat

et al. 2021

Geomatics, Natural Hazards and Risk

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This study investigates the relationship of urban thermal environment (UTE) with various influential factors as well as ecological conditions. The relation between LST and land use and land cover (LULC) changes was explored in terms of remote-sensing (RS) based indices; heat effect contribution index (HECI), Urban thermal field variance index (UTFVI), Surface urban heat island intensity (SUHII), Normal Difference Built-up Index (NDBI), and Normal Difference Vegetation Index (NDVI). LULC maps were classified using the unsupervised classification technique and made error matrix to determine the accuracy. Results revealed that the vegetated area in Faisalabad decreased by 230 km 2 due to an expansion in the urban area of 124-320 km 2 during the period 1992-2014. An average LST in the rural buffers is increasing rapidly as compare to urban buffer and varied over the eight years with a range of 0.68-2.57 (C). After 2007, SUHII's linear trend was negative because rural temperatures were still rising. Based on HECI, we found that urban expansion mainly led to increase in LST. UTFVI has shown poor ecological conditions in all urban buffers. In addition, there is a positive correlation between LST and NDBI, while NDVI indicates a negative correlation with LST.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal shifts in thermal climate in responses to urban cover changes: a-case analysis of major cities in Punjab, Pakistan

Dilawar

Chen

Trisurat

et al. 2021

Geomatics, Natural Hazards and Risk

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“…Chinese and Indian cities have been the most investigated. Shanghai was ranked first, with nine publications [20,[45][46][47][48][49][50][51][52], followed by Delhi [22,[53][54][55][56] and Beijing [48,[57][58][59][60], with five publications each.…”

Section: General Characteristics: Study Periods and Target Areasmentioning

confidence: 99%

“…The index was first employed by Chen et al to assess the impact of 10-year LUCL spatiotemporal changes on SUHIs at a regionalscale level in the Pearl River Delta located in Guangdong Province and a city-scale level in Shenzhen city [87]. It was then used in multiple studies in different research areas, including Shenyang, China [94]; Ethekwini, South Africa [77]; Wuhan, China [139]; Malda, India [138]; and Delhi, India [55]. Based on the obtained CI values of different LULC types, Pramanik and Punia further calculated another index called the landscape index (LI), defined as the quotient of the CI of SUHI sink (i.e., croplands, vegetation, and water bodies) and source (i.e., built-up, fallow, and bare lands) landscapes [55].…”

Section: Relationship Assessment Of Lulc and Suhismentioning

confidence: 99%

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Understanding the Links between LULC Changes and SUHI in Cities: Insights from Two-Decadal Studies (2001–2020)

et al. 2021

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An urban heat island (UHI) is a serious phenomenon associated with built environments and presents threats to human health. It is projected that UHI intensity will rise to record levels in the following decades due to rapid urban expansion, as two-thirds of the world population is expected to live in urban areas by 2050. Nevertheless, the last two decades have seen a considerable increase in the number of studies on surface UHI (SUHI)—a form of UHI quantified based on land surface temperature (LST) derived from satellite imagery—and its relationship with the land use/cover (LULC) changes. This surge has been facilitated by the availability of freely accessible five-decade archived remotely sensed data, the use of state-of-art analysis methods, and advancements in computing capabilities. The authors of this systematic review aimed to summarize, compare, and critically analyze multiple case studies—carried out from 2001 to 2020—in terms of various aspects: study area characteristics, data sources, methods for LULC classification and SUHI quantification, mechanisms of interaction coupled with linking techniques between SUHI intensity with LULC spatial and temporal changes, and proposed alleviation actions. The review could support decision-makers and pave the way for scholars to conduct future research, especially in vulnerable cities that have not been well studied.

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“…Studies show that urban areas are generally warmer than rural areas, especially during nights, which is referred to as the UHI effect Lilly and Devadas (2009). UHI in summer causes outdoor thermal discomfort Anand et al (2015), increases mortality and diseases, Huang et al (2019), energy demand and costs Mohajerani et al (2017), Akbari (2005) 2018), reducing green coverage and vegetation Aboelata and Sodoudi (2020), Akbari et al (2001), urban canopy Masson (2006), blocking the wind path Priyadarsini et al (2008), and land-use Pramanik and Punia (2019). Factors that cause the difference in air temperatures between urban and rural areas can be summed up as follows:…”

Section: Urban Heat Island (Uhi)mentioning

confidence: 99%

Ideal Model for Investigating Urban Form Effects on Urban Heat Island and Outdoor Thermal Comfort: A Review

Darbani

Parapari

2022

Int. J. Eng. Sci. Tech

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In recent decades, urban planners have endeavoured to mitigate climate change, by adaptation programs in order to alleviate its adverse effects on human health and wellbeing. Outdoor thermal comfort as an environmental factor affects human health, as proven by various research studies conducted in different climates. The aim of this paper is to explore the components of urban heat island, outdoor thermal comfort, and urban form. The relationship between these keywords and variables that affect outdoor thermal comfort was also analysed. The research method is descriptive-analytical and besides that, the qualitative research method has been used. The components of each keyword have been extracted based on professional theories. Finally, the ideal model of outdoor thermal comfort is proposed. This paper gives a comprehensive view to urban heat islands, urban form and outdoor thermal comfort

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Land use/land cover change and surface urban heat island intensity: source–sink landscape-based study in Delhi, India

Cited by 71 publications

References 27 publications

Spatiotemporal shifts in thermal climate in responses to urban cover changes: a-case analysis of major cities in Punjab, Pakistan

Spatiotemporal shifts in thermal climate in responses to urban cover changes: a-case analysis of major cities in Punjab, Pakistan

Understanding the Links between LULC Changes and SUHI in Cities: Insights from Two-Decadal Studies (2001–2020)

Ideal Model for Investigating Urban Form Effects on Urban Heat Island and Outdoor Thermal Comfort: A Review

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