Urban sprawl of Kota city: A case study of urban heat island linked with electric consumption

Kamboj, Sandeep Kumar; Ali, Shoyab

doi:10.1016/j.matpr.2020.08.783

Cited by 7 publications

(4 citation statements)

References 16 publications

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“…In urban areas, high-rise buildings and mass transportation systems were built to accommodate the population, with extensive use of concrete, steel, and glass, which absorb solar radiation [26]. While human activities for commercial and industrial purposes consume huge amounts of electrical power and fossil fuels, the number of carbon emissions and pollutants released into the atmosphere by the buildings trap emitted heat [27].…”

Section: Causes Of Urban Heat Island Effectmentioning

confidence: 99%

Investigating the Relationship between Human Activity and the Urban Heat Island Effect in Melbourne and Four Other International Cities Impacted by COVID-19

et al. 2021

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Climate change is one of the biggest challenges of our times, even before the onset of the Coronavirus (COVID-19) pandemic. One of the main contributors to climate change is greenhouse gas (GHG) emissions, which are mostly caused by human activities such as the burning of fossil fuels. As the lockdown due to the pandemic has minimised human activity in major cities, GHG emissions have been reduced. This, in turn, is expected to lead to a reduction in the urban heat island (UHI) effect in the cities. The aim of this paper is to understand the relationship between human activity and the UHI intensity and to provide recommendations towards developing a sustainable approach to minimise the UHI effect and improve urban resilience. In this study, historical records of the monthly mean of daily maximum surface air temperatures collected from official weather stations in Melbourne, New York City, Tokyo, Dublin, and Oslo were used to estimate the UHI intensity in these cities. The results showed that factors such as global climate and geographic features could dominate the overall temperature. However, a direct relationship between COVID-19 lockdown timelines and the UHI intensity was observed, which suggests that a reduction in human activity can diminish the UHI intensity. As lockdowns due to COVID-19 are only temporary events, this study also provides recommendations to urban planners towards long-term measures to mitigate the UHI effect, which can be implemented when human activity returns to normal.

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Section: Causes Of Urban Heat Island Effectmentioning

confidence: 99%

Investigating the Relationship between Human Activity and the Urban Heat Island Effect in Melbourne and Four Other International Cities Impacted by COVID-19

et al. 2021

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“…also reported the existence of a strong correlation of NDBI (0.89) with LST and could increase the UHI effect in cities. Thus, rapid urban agglomeration and urban landscapes change (high NDBI) is might be upsurged sensible heat change on the ground [ 11 , 54 ], and anthropogenic heat emission [ 1 , 17 , 68 ] and the electric consumption of the cities also influenced by LST and NDBI nexus [ 33 ] and the strength of UHI evolution [ 54 , 55 ].…”

Section: Discussionmentioning

confidence: 99%

Dynamics of green spaces- Land surface temperature intensity nexus in cities of Ethiopia

Argaw¹,

Feyisa²,

Degefa³

2023

Heliyon

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“…Rapid economic development can also lead to land use change, resulting in contrasting variations of different land use and land cover classes that can be identified through land cover maps (Dutta et al, 2019;Wang et al, 2022; According to Somae et al (2023), the influence of political, policy, and socioeconomic factors has contributed to land cover change in the Wae Heru watershed. Kamboj & Ali, (2021), added that, population growth, urbanization, and agricultural and industrial activities have changed the face of the Wae Heru watershed, with significant implications for the ecosystem and local communities.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Land Cover Change in Wae Heru Watershed Ambon City Using Celular Automata Markov Chain

Manakane,

Latue,

Somae

et al. 2023

jgs

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Land cover change in the watershed area in Ambon City has an impact on land degradation, water pollution, flooding and erosion. Therefore, the utilization and efficiency of land cover in the watershed area must be improved based on sustainable land cover planning. This study aims to analyze land cover changes in the Wae Heru watershed, Ambon City in 2013, 2018, and 2023 and predict land cover in 2028. This study used the CA-Markov method to predict land cover in 2028. The results showed that in 2013 the built-up land had an area of 74.25 ha, in 2018 an area of 79.30 ha and in 2023 an area of 88.00 ha and the results of the 2028 prediction of built-up land were 116.96 ha, this is certainly influenced by the increasing number of residents who continue to grow every year. Agricultural land, non-agricultural land and open land continue to decrease in area. The results of this prediction are very useful for the government in making policies related to sustainable spatial planning in the future.

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Urban sprawl of Kota city: A case study of urban heat island linked with electric consumption

Cited by 7 publications

References 16 publications

Investigating the Relationship between Human Activity and the Urban Heat Island Effect in Melbourne and Four Other International Cities Impacted by COVID-19

Investigating the Relationship between Human Activity and the Urban Heat Island Effect in Melbourne and Four Other International Cities Impacted by COVID-19

Dynamics of green spaces- Land surface temperature intensity nexus in cities of Ethiopia

Prediction of Land Cover Change in Wae Heru Watershed Ambon City Using Celular Automata Markov Chain

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