Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/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 |
ISSN | 0169-2046 |
EISSN | 1872-6062 |
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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