GSTDTAP  > 资源环境科学
DOI10.1016/j.landurbplan.2019.05.017
Assessing urban drivers of canopy layer urban heat island: A numerical modeling approach
Kotharkar, Rajashree; Bagade, Anurag; Ramesh, Aparna
2019-10-01
发表期刊LANDSCAPE AND URBAN PLANNING
ISSN0169-2046
EISSN1872-6062
出版年2019
卷号190
文章类型Article
语种英语
国家India
英文摘要

The physical and geometrical properties of urban regions are responsible for influencing canopy layer air temperature leading to urban heat island effect (UHI). Local climate zone (LCZ) land cover classification scheme has been widely adopted to examine UHI and inter urban heat island (IUHI). In tropical cities with heterogeneous mix of urban surface cover, morphology, thermal and radiative properties pose the question-which built properties have a higher influence on UHI? This study evaluates UHI response in tropical city Nagpur (India) using LCZ and city specific built parameters. It uses mobile survey to collect nocturnal air-temperature data during two consecutive summers (2016 and 2017). The study identifies eleven built environment parameters from literature survey. It adopts a unique approach of all possible regression technique with series of checks and model validation (coefficient signage, variance inflation factor, p-value & t-statistics, R square, F value and k-fold cross validation). The result shows distance from central business district (DI), surface albedo (AL), aspect ratio (AR) and vegetation density ratio (VDR) as major predictors explaining UHI response. Every 500 m increase in DI reduces inter urban heat island (IUHI) by 0.13 degrees C. Increasing AL by 0.01 decreases UHI by 0.18 degrees C whereas increasing VDR by 0.10 yields 0.17 degrees C reduction in IUHI. 10% increase in AR suggests IUHI increase by 0.17 degrees C. This study contributes in exploring mitigation strategies for complex built environment. It enables urban planners, designers and policy makers to approach urban intervention with scientific and sustainable approach.


英文关键词Urban heat island Local climate zone Multiple regression Numerical modeling Mitigation
领域资源环境
收录类别SCI-E ; SSCI
WOS记录号WOS:000484871000015
WOS关键词LAND USE/LAND COVER ; LOCAL CLIMATE ZONES ; AIR-TEMPERATURE ; RESIDENTIAL DEVELOPMENTS ; SURFACE-TEMPERATURE ; HONG-KONG ; IMPACT ; VEGETATION ; INTENSITY ; PARAMETERIZATION
WOS类目Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies
WOS研究方向Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/187502
专题资源环境科学
作者单位Visvesvaraya Natl Inst Technol Nagpur, Dept Architecture & Planning, VNIT Campus,South Ambazari Rd, Nagpur 440010, Maharashtra, India
推荐引用方式
GB/T 7714
Kotharkar, Rajashree,Bagade, Anurag,Ramesh, Aparna. Assessing urban drivers of canopy layer urban heat island: A numerical modeling approach[J]. LANDSCAPE AND URBAN PLANNING,2019,190.
APA Kotharkar, Rajashree,Bagade, Anurag,&Ramesh, Aparna.(2019).Assessing urban drivers of canopy layer urban heat island: A numerical modeling approach.LANDSCAPE AND URBAN PLANNING,190.
MLA Kotharkar, Rajashree,et al."Assessing urban drivers of canopy layer urban heat island: A numerical modeling approach".LANDSCAPE AND URBAN PLANNING 190(2019).
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