{"title":"Assessment of Spatio-temporal Variability of Winter Land Surface Temperature in Industrial City of Durgapur, India: Trend and Drivers","authors":"Juel Sk. , Sasanka Ghosh , Arijit Das","doi":"10.1016/j.scs.2025.106334","DOIUrl":null,"url":null,"abstract":"<div><div>Durgapur Municipal Corporation (DMC) is an important growing smart city in Eastern India mainly dependent on an industry-based economy. This growing urbanization negatively affected its thermal condition over the last few decades. This study identified the changing thermal environment of the study area through the Mann-Kendal test and also identified major factors for the spatial variation of Land Surface Temperature (LST) over the region through collecting opinions of the residents, existing literature, multicollinearity test and Geodetector analysis. Results revealed that overall temperature has increased for the study area, but there are some pocket areas where temperatures have increased rapidly, and some areas have shown negative temperature change. This temperature variation is mainly influenced by the location of power-plant (q = 0.144), Distance from Settlement (q = 0.114), Distance from Road (q = 0.105), Distance from Waterbody (q = 0.096), Distance from Vegetation (q = 0.099), and Distance from Industries (q = 0.089). Similarly, interaction between two factors is more responsible than individual factors for this spatial variation of LST over the region. This identification of temperature variations and their influencing factors will help to develop a planning strategy to minimize the negative thermal effect for the study area.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"125 ","pages":"Article 106334"},"PeriodicalIF":10.5000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670725002112","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Durgapur Municipal Corporation (DMC) is an important growing smart city in Eastern India mainly dependent on an industry-based economy. This growing urbanization negatively affected its thermal condition over the last few decades. This study identified the changing thermal environment of the study area through the Mann-Kendal test and also identified major factors for the spatial variation of Land Surface Temperature (LST) over the region through collecting opinions of the residents, existing literature, multicollinearity test and Geodetector analysis. Results revealed that overall temperature has increased for the study area, but there are some pocket areas where temperatures have increased rapidly, and some areas have shown negative temperature change. This temperature variation is mainly influenced by the location of power-plant (q = 0.144), Distance from Settlement (q = 0.114), Distance from Road (q = 0.105), Distance from Waterbody (q = 0.096), Distance from Vegetation (q = 0.099), and Distance from Industries (q = 0.089). Similarly, interaction between two factors is more responsible than individual factors for this spatial variation of LST over the region. This identification of temperature variations and their influencing factors will help to develop a planning strategy to minimize the negative thermal effect for the study area.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;