Assessment and Mapping of Urban Heat Island using Field Data in the New Capital Region of Andhra Pradesh, India

Kumar, Kusuma Sundara; Pinnamaneni, Udaya Bhaskar; Kumari, K. Padma

doi:10.17485/ijst/2017/v10i11/99983

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…Most regions within the city (except for the north with dense vegetation and forest) had surface temperature closer to the peak values, were extensively used for agricultural practices. The estimated LST values were found to be comparable to the results of Sundara Kumar, Udaya Bhaskar, and Padma Kumari (2017 ). The authors found the surface temperature of Amaravati to be within 30 °C and 40 °C, thereby validating our estimates (see Fig.…”

Section: Resultssupporting

confidence: 73%

REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South

Bardhan

Debnath

Gama

et al. 2020

Sustainable Cities and Society

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Highlights Higher cooling energy stress due to future urbanisation in Global South. Urban energy stress modelling using an integrated geo-spatial energy network. Residential decentralised energy system as grid energy stress management strategy. Distributive energy justice through urban planning and peer-to-peer energy sharing.

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Section: Resultssupporting

confidence: 73%

REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South

Bardhan

Debnath

Gama

et al. 2020

Sustainable Cities and Society

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show abstract

“…The LST can be explored via different means such as satellite remote sensing as well as field measurement (Rasul et al 2017). However, in recent times, field base readings over different surface materials by means of IR (infrared) thermometer has become a vital means to attend to the SUHII phenomenon (Kumar et al 2017;Georgakis and Santamouris 2017;Neog et al 2019). However, the spatiotemporal pattern of LST study by means of on-site observation with IR (infrared) thermometer with improved temporal resolution for a longer period of time is always deficient.…”

Section: Introductionmentioning

confidence: 99%

An infrared thermography-based study on the variation in diurnal and seasonal land surface temperature at Dibrugarh city, India

Neog

Lahkar

Baruah

et al. 2020

Model. Earth Syst. Environ.

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The understanding of surface urban heat island pattern above Dibrugarh City has been studied through in situ observation using non-contact infrared thermometer for a period of 4 months by covering 16 selected locations. The chosen locations envelop both urban and suburban sites. The study draws attention to urban hot spots toward the central part of the city all through the different months in addition to the seasons, owing to heat retention supported by the built environment with fewer vegetation cover. Seasonally winter uncovered utmost variability of LST indicated by higher CV value. The core locations/ sites witnessed a least amount of variability and continuity of higher LST throughout the learning months. At diurnal pattern, LST designated a sharp decrease from morning to afternoon period through winter months, while contrastingly summer months witnessed a sharp fall of LST from afternoon to night period. Among all the surfaces, asphalt pavement noticed maximum surface temperature with maximum variability in both diurnal and temporal scales. Maximum assimilation with fewer albedo of asphalt surface along with drier soil and grass comes across maximum LST in the internal part of the city. In addition, traffic, pollution and anthropogenic heat emission supported warmer surface temperature of asphalt, grass and bare soil, which on the whole put into the growth of higher surface heat. The stronger affirmative correlation coefficient amid the temperature of different surfaces with air temperature and comparatively weaker unconstructive correlation with relative humidity witnessed the dominant role of air temperature on overall surface urban heat island process.

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Evaluation of spatio-temporal pattern of surface urban heat island phenomena at Jorhat, India

2019

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Assessment and Mapping of Urban Heat Island using Field Data in the New Capital Region of Andhra Pradesh, India

Cited by 6 publications

References 28 publications

REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South

REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South

An infrared thermography-based study on the variation in diurnal and seasonal land surface temperature at Dibrugarh city, India

Evaluation of spatio-temporal pattern of surface urban heat island phenomena at Jorhat, India

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