Local Climate Zone classification for Indian cities: A case study of Nagpur

Kotharkar, Rajashree; Bagade, Anurag

doi:10.1016/j.uclim.2017.03.003

Cited by 89 publications

(33 citation statements)

References 22 publications

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“…The mean LST of LCZ-8B is lower than that of LCZ-8, which may due to the fact that the shadows of large low buildings in LCZ-8 are not sufficient to lower the LST, while the vegetation of LCZ-8B (large low-rise with vegetation) produces more shadows and brings soil moisture during the day. Meanwhile, similar results are observed in LCZ-34 when compared to LCZ-3, which might be explained by the shadow of high-rise buildings reducing the radiation temperature [44][45][46].…”

Section: The Lcz Classification and Lst Characteristics In Chenzhousupporting

confidence: 73%

Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China

Ya-ping

Zheng

2020

Sustainability

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The local climate zone (LCZ) has become a new tool for urban heat island research. Taking Chenzhou as the research object, eight urban spatial form elements and land cover elements are calculated respectively through ArcGIS, Skyhelios and ENVI software. The calculation results are then rasterized and clustered in ArcGIS to obtain the LCZ map at a resolution of 200 m. Afterwards, the land surface temperature (LST) of different local climate zones in the four seasons from 2017 to 2018 is further analyzed using one-way ANOVA F-test and Student’s t-test. The results suggest that: (1) by adding localized LCZ classes and applying the semi-automatic algorithm on the Arc-GIS platform, the final overall accuracy reaches 69.54%, with a kappa value of 0.67, (2) the compact middle-rise buildings (LCZ-2′) and open low-rise buildings (LCZ-6) heavily contribute to the high LST of the downtown area, while the large low-rise buildings (LCZ-8) cause the high LST regions in the eastern part of the town, (3) obvious land surface temperature differences can be detected in four seasons among different LCZ classes, with high LST in summer and autumn. Built-up LCZ classes generally revealed higher LSTs than land cover LCZs in all seasons. The findings of this study provide better understandings of the relationship between LCZ and LST, as well as important insights for urban planners on urban heat mitigation.

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Section: The Lcz Classification and Lst Characteristics In Chenzhousupporting

confidence: 73%

Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China

Ya-ping

Zheng

2020

Sustainability

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“…Other comparisons were also conducted in recent years [17][18][19] and some even showed that Köppen did not allow to obtain specific information necessary for the problem of building design and thermal comfort [20][21][22]. Other class methods also used for climate classification to study comfort in the building [3,20,22] or for climate classification of urban and rural sites [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

GIS-based approach to identify climatic zoning: A hierarchical clustering on principal component analysis

Praene¹,

Malet-Damour²,

Radanielina

et al. 2019

Building and Environment

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In tropical environments, the design of bioclimatic houses adapted to their environment is a crucial issue when considering comfort and limiting energy needs. A preliminary part of such design is an accurate knowledge of the climatic conditions in each region of the studied territory. The objective of this paper is to propose climatic zoning from a database of 47 meteorological stations in Madagascar by investigating hierarchical clustering on principal components. Then, theses results are combined with a spatial interpolation using a Geographic Information System approach. This step allows us to define three climatic zones corresponding to dry, humid and highland zones. These results make it possible to define standard meteorological files that are used to evaluate the thermal performance of traditional Malagasy houses. Regardless of the type of house and the areas considered, the percentage of comfort, according to Givoni bioclimatic chart, varies from an average value of 20 % to 70 % without ventilation and with an air velocity of 1 m/s, respectively. It can be concluded that Madagascar's traditional habitat has adapted over time to the constraints of its environment.

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“…In the past, various studies have been reported related to the LCZ concept and its application in understanding UHI at a local level across the globe [9][10][11][14][15][16][17][18][19][20]. The LCZ characterization scheme has been applied to cities with well-planned and uniform urban structure such as Uppsala (Sweden), Nagano (Japan), Vancouver (Canada), Toulouse (France) [21], Singapore [22], as well as to heterogeneous cities with non-uniform structures like Nagpur (India) [23] with the aim of providing an in-depth evaluation of the approach regarding the assessment of the UHI effect around the world.…”

Section: Introductionmentioning

confidence: 99%

A Study of Local Climate Zones in Abu Dhabi with Urban Weather Stations and Numerical Simulations

et al. 2019

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In many cities that have experienced rapid growth like Abu Dhabi, urban microclimate scenarios evolve rapidly as well and it is important to study the urban thermal dynamics continuously. The Local Climate Zone (LCZ) classification considers factors related to the physical properties like surface cover and surface structure of the city which allow to analyze urban heat flows. Abu Dhabi city is rapidly expanding and is characterized by highly heterogeneous types of built forms that comprise mainly of old mid-rise and modern high-rise buildings with varied degrees of vegetation cover in different parts of the city. The fact that it is a coastal city in a desert environment makes it quite unique. This paper presents an approach of studying urban heat flows in such heterogeneous setup. First, the city is classified into local climate zones using images acquired by Landsat Satellite. Numerical simulations are performed in the designated LCZs using a computational fluid dynamics software, Envi-met. The results of Envi-met are calibrated and validated using in-situ measurements across all four seasons. The calibrated models are then applied to study entire Abu Dhabi island across different seasons. The results indicate a clear presence of urban heat island (UHI) effect when averaged over the full day which is varying in different zones. The zones with high vegetation do not show large average UHI effect whereas the effect is significant in densely built zones. The study also validates previous observations on the inversion of UHI effect during the day and in terms of diurnal response.

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Local Climate Zone classification for Indian cities: A case study of Nagpur

Cited by 89 publications

References 22 publications

Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China

Mapping Local Climate Zones Using ArcGIS-Based Method and Exploring Land Surface Temperature Characteristics in Chenzhou, China

GIS-based approach to identify climatic zoning: A hierarchical clustering on principal component analysis

A Study of Local Climate Zones in Abu Dhabi with Urban Weather Stations and Numerical Simulations

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