Integrated Influencing Mechanism of Potential Drivers on Seasonal Variability of LST in Kolkata Municipal Corporation, India
文献类型：期刊论文
| 作者 | Bera, Dipankar5; Das Chatterjee, Nilanjana5; Mumtaz, Faisal1; Dinda, Santanu5; Ghosh, Subrata5; Zhao, Na2; Bera, Sudip5; Tariq, Aqil3,4 |
| 刊名 | LAND
 |
| 出版日期 | 2022-09-01 |
| 卷号 | 11期号:9页码:28 |
| 关键词 | land surface temperature influencing factors all-subsets regression hierarchical partitioning analysis urban management |
| DOI | 10.3390/land11091461 |
| 通讯作者 | Mumtaz, Faisal(faisal@aircas.ac.cn) |
| 英文摘要 | Increasing land surface temperature (LST) is one of the major anthropogenic issues and is significantly threatening the urban areas of the world. Therefore, this study was designed to examine the spatial variations and patterns of LST during the different seasons in relation to influencing factors in Kolkata Municipality Corporation (KMC), a city of India. The spatial distribution of LST was analyzed regarding the different surface types and used 25 influencing factors from 6 categories of variables to explain the variability of LST during the different seasons. All-subset regression and hierarchical partitioning analyses were used to estimate the explanatory potential and independent effects of influencing factors. The results show that high and low LST corresponded to the artificial lands and bodies of water for all seasons. In the individual category regression model, surface properties gave the highest explanatory rate for all seasons. The explanatory rates and the combination of influencing factors with their independent effects on the LST were changed for the different seasons. The explanatory rates of integration of all influencing factors were 89.4%, 81.4%, and 88.7% in the summer, transition, and winter season, respectively. With the decreasing of LST (summer to transition, then to winter) more influencing factors were required to explain the LST. In the integrated regression model, surface properties were the most important factor in summer and winter, and landscape configuration was the most important factor in the transition season. LST is not the result of single categories of influencing factors. Along with the effects of surface properties, socio-economic parameters, landscape compositions and configurations, topographic parameters and pollutant parameters mostly explained the variability of LST in the transition (11.22%) and summer season (15.22%), respectively. These findings can help to take management strategies to reduce urban LST based on local planning. |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; URBAN HEAT-ISLAND ; WATER INDEX NDWI ; USE/LAND COVER ; CARBON-MONOXIDE ; VEGETATION ; IMPACT ; URBANIZATION ; EMISSIVITY ; PATTERNS |
| 资助项目 | National Natural Science Foundation of China[42071374] ; National Key Research and Development Program[2019YFE0126700] ; National Key Research and Development Program[2020YFE0200700] ; Council of Scientific and Industrial Research (CSIR), Government of India[09/599/(0083)/2019-EMR-I] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000856826900001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program ; Council of Scientific and Industrial Research (CSIR), Government of India |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/184788]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Mumtaz, Faisal |
| 作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China 4.Mississippi State Univ, Dept Wildlife Fisheries & Aquaculture, 775 Stone Blvd, Starkville, MS 39762 USA 5.Vidyasagar Univ, Dept Geog, Midnapore 721102, India |
| 推荐引用方式 GB/T 7714 | Bera, Dipankar,Das Chatterjee, Nilanjana,Mumtaz, Faisal,et al. Integrated Influencing Mechanism of Potential Drivers on Seasonal Variability of LST in Kolkata Municipal Corporation, India[J]. LAND,2022,11(9):28. |
| APA | Bera, Dipankar.,Das Chatterjee, Nilanjana.,Mumtaz, Faisal.,Dinda, Santanu.,Ghosh, Subrata.,...&Tariq, Aqil.(2022).Integrated Influencing Mechanism of Potential Drivers on Seasonal Variability of LST in Kolkata Municipal Corporation, India.LAND,11(9),28. |
| MLA | Bera, Dipankar,et al."Integrated Influencing Mechanism of Potential Drivers on Seasonal Variability of LST in Kolkata Municipal Corporation, India".LAND 11.9(2022):28. |
入库方式： OAI收割
来源：地理科学与资源研究所
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