Study of intra-city urban heat island intensity and its influence on atmospheric chemistry and energy consumption in Delhi

Yadav, Neha; Sharma, C.; Peshin, S. K.; Masiwal, Renu

doi:10.1016/j.scs.2017.04.003

Cited by 42 publications

(13 citation statements)

References 29 publications

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“…The high UHI intensity is due to the increased urban fraction and AH release in the high‐density residential area where the ground heat flux releases more heat back into the air compared with that at the Boyana station (Table 4). The higher UHI intensity in the early morning (0600 LST) versus that during the afternoon (1500 LST) is consistent with the results reported by several other studies (e.g., Memon et al, 2009; Yadav et al, 2017). At 1500 LST, air temperature at the Central and Boyana stations increased by 0.3 and 0.6°C, respectively, for the LU1878 and LU2012 cases.…”

Section: Resultssupporting

confidence: 92%

How urban growth changes the heat island effect and human thermal sensations over the last 100 years and towards the future in a European city?

Vitanova

Kusaka

Doan

et al. 2021

Meteorological Applications

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Urban development exacerbates urban heat island effects of cities and thermal discomfort of the residents worldwide. However, such urban effects vary with the geographical and climatic conditions of the respective cities. This study is the first to quantitatively estimate the impact of past (1878), present (2012), and future (2050) urbanization on surface air temperatures and human thermal comfort in Sofia, the largest city of Bulgaria. We used the state‐of‐the‐art Weather Research and Forecasting (WRF) climate model, with a 1‐km horizontal resolution for three cases: LU1878, LU2012, and LU2050. We first validated the results of the control simulation (case LU2012) against actual observations. The model satisfactorily reproduced the diurnal variation of the observed monthly mean surface air temperatures for July (2011–2013) with a mean bias of ±0.6°C. We then estimated the potential impacts of past and future urbanization on surface temperature. Our results suggest that because of urbanization of Sofia, the surface air temperature at 0600 Local Standard Time (LST) has increased approximately 4.0°C in the past (1878–2012) and approximately 0.4°C in future (2012–2050). We also evaluated the impact of the urban thermal environment on human comfort levels. Considering the LU2050 case in the central part of Sofia, the temperature–humidity index during mid‐afternoon (1400–1700 LST) is estimated to be 24–26, indicating that approximately 50% of the residents could feel perceptibly uncomfortable.

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Section: Resultssupporting

confidence: 92%

How urban growth changes the heat island effect and human thermal sensations over the last 100 years and towards the future in a European city?

Vitanova

Kusaka

Doan

et al. 2021

Meteorological Applications

View full text Add to dashboard Cite

show abstract

“…1). Geographically the megacity is located within the Indo-Gangetic alluvial plain region with an altitude range of 198 m to 220 m above msl and surrounded by lesser Himalaya in the north, peninsular region in the south, hilly region in the east and Great Indian Desert in the west (Sahay, 2018;Yadav et al, 2017). NCT Delhi has dual status as a city and a state incorporating Kanjhawla Block, MehrauliBlock, Najafgarh Block and Shahadra Block.…”

Section: The Study Areamentioning

confidence: 99%

Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi, India

Mahato

Pal

Ghosh

2020

Science of The Total Environment

960

828

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PM 10 and PM 2.5 concentrations reduced by about half in compare to the prelockdown • NO 2 and CO have also shown considerable decline during lockdown. • In the transportation and industrial location air quality have improved close to 60%. • The central and Eastern Delhi have experienced maximum improvement in air quality. • On the 2nd and 4th day of lockdown, about 40% to 50% improvement in air quality

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“…From the calculation aspects, these indices can be mainly divided into two categories: temperature-driven and multifactor-driven indices. Temperature-driven indices were calculated based on only air temperature data, mainly including degree days calculated based on quarterly [41], hourly [58,59], daily [26,45], or monthly mean temperatures [60], degree-hours based on hourly temperatures [61], and degree-minutes based on minute temperatures [24]. The setting of the reference temperature was related to the accuracy of indicating the actual energy consumption of such indicators [60,[62][63][64].…”

Section: Indices Related With Degree Daysmentioning

confidence: 99%

A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling

Wang

et al. 2020

IJERPH

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The world is faced with significant climate change, rapid urbanization, massive energy consumption, and tremendous pressure to reduce greenhouse gases. Building heating and cooling is one primary source of energy consumption and anthropogenic carbon dioxide emissions. First, this review presents previous studies that estimate the specific amount of climate change impact on building heating and cooling energy consumption, using the statistical method, physical model method, comprehensive assessment model method, and the combination method of statistical and physical model methods. Then, because the heating and cooling degree days indices can simply and reliably indicate the effects of climate on building heating and cooling energy consumption, previous studies were reviewed from the aspects of heating and cooling degree days indices, regional spatial-temporal variations in degree days and related indices, influencing factors of the spatial distributions of degree days, and the impacts of urbanization on degree days. Finally, several potential key issues or research directions were presented according to the research gaps or fields that need to be studied further in the future, such as developing methods to simply and accurately estimate the specified amounts of climate change impact on building cooling and heating energy consumption; using more effective methods to analyze the daytime, nighttime, and all-day spatial-temporal changes in different seasons in the past and future under various environment contexts by considering not only the air temperature but also the relative humidity, solar radiation, population, etc., and further exploring the corresponding more kinds of driving forces, including the various remotely sensed indices, albedo, nighttime light intensity, etc.; estimating the daytime, nighttime, and all-day impacts of urbanization on heating degree days (HDDs), cooling degree days (CDDs), and their sum (HDDs + CDDs) for vast cities in different environmental contexts at the station site, city, regional and global scales; producing and sharing of the related datasets; and analyzing the subsequent effects induced by climate change on the energy consumption for building heating and cooling, etc.

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Study of intra-city urban heat island intensity and its influence on atmospheric chemistry and energy consumption in Delhi

Cited by 42 publications

References 29 publications

How urban growth changes the heat island effect and human thermal sensations over the last 100 years and towards the future in a European city?

How urban growth changes the heat island effect and human thermal sensations over the last 100 years and towards the future in a European city?

Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi, India

A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling

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