{"title":"城市规划发展对城市热岛效应的影响:面向可持续未来的弹性城市。","authors":"Karayil Santhosh Arunab, Aneesh Mathew","doi":"10.1007/s11356-025-36190-0","DOIUrl":null,"url":null,"abstract":"<p><p>This comprehensive study delved into the urban dynamics of Bangalore and Hyderabad, focusing on land cover changes, temperature variations, and their implications for sustainable urban development. Analyzing land cover trends from 2001 to 2021, the study revealed substantial urban expansion in both cities, with notable shifts in built-up, vegetation, bare soil, and water bodies. The analysis indicated intensified urbanization, particularly in Hyderabad, raising environmental concerns. The study employed a random forest model to predict contrasting urbanization patterns for 2031, emphasizing the need for resilient and sustainable strategies. The model successfully predicted land surface temperature (LST) and land cover changes, offering insights for informed urban planning. Correlation analyses unveil the influence of factors like proximity to bare soil and built-up areas on LST. The model's performance is robust, outperforming other models, and is employed for 2021 land cover (LC) and LST predictions. Validation demonstrates the model's accuracy in predicting LC distribution and LST across diverse land cover types, urban and rural areas. Furthermore, the model is applied to forecast 2031 LC and LST, revealing contrasting urbanization trends. The study incorporates a hot spot analysis, categorizing thermal zones and highlighting the urban heat island (UHI) effect. The model showcases a capacity to project long-term temperature dynamics, making it a valuable tool for urban planning and climate resilience. The findings underscore the need for sustainable land use planning, emphasizing environmental preservation amid rapid urban growth.</p>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":" ","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of planned urban development on urban heat island effect: resilient cities for a sustainable future.\",\"authors\":\"Karayil Santhosh Arunab, Aneesh Mathew\",\"doi\":\"10.1007/s11356-025-36190-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This comprehensive study delved into the urban dynamics of Bangalore and Hyderabad, focusing on land cover changes, temperature variations, and their implications for sustainable urban development. Analyzing land cover trends from 2001 to 2021, the study revealed substantial urban expansion in both cities, with notable shifts in built-up, vegetation, bare soil, and water bodies. The analysis indicated intensified urbanization, particularly in Hyderabad, raising environmental concerns. The study employed a random forest model to predict contrasting urbanization patterns for 2031, emphasizing the need for resilient and sustainable strategies. The model successfully predicted land surface temperature (LST) and land cover changes, offering insights for informed urban planning. Correlation analyses unveil the influence of factors like proximity to bare soil and built-up areas on LST. The model's performance is robust, outperforming other models, and is employed for 2021 land cover (LC) and LST predictions. Validation demonstrates the model's accuracy in predicting LC distribution and LST across diverse land cover types, urban and rural areas. Furthermore, the model is applied to forecast 2031 LC and LST, revealing contrasting urbanization trends. The study incorporates a hot spot analysis, categorizing thermal zones and highlighting the urban heat island (UHI) effect. The model showcases a capacity to project long-term temperature dynamics, making it a valuable tool for urban planning and climate resilience. The findings underscore the need for sustainable land use planning, emphasizing environmental preservation amid rapid urban growth.</p>\",\"PeriodicalId\":545,\"journal\":{\"name\":\"Environmental Science and Pollution Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Science and Pollution Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s11356-025-36190-0\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science and Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s11356-025-36190-0","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Impact of planned urban development on urban heat island effect: resilient cities for a sustainable future.
This comprehensive study delved into the urban dynamics of Bangalore and Hyderabad, focusing on land cover changes, temperature variations, and their implications for sustainable urban development. Analyzing land cover trends from 2001 to 2021, the study revealed substantial urban expansion in both cities, with notable shifts in built-up, vegetation, bare soil, and water bodies. The analysis indicated intensified urbanization, particularly in Hyderabad, raising environmental concerns. The study employed a random forest model to predict contrasting urbanization patterns for 2031, emphasizing the need for resilient and sustainable strategies. The model successfully predicted land surface temperature (LST) and land cover changes, offering insights for informed urban planning. Correlation analyses unveil the influence of factors like proximity to bare soil and built-up areas on LST. The model's performance is robust, outperforming other models, and is employed for 2021 land cover (LC) and LST predictions. Validation demonstrates the model's accuracy in predicting LC distribution and LST across diverse land cover types, urban and rural areas. Furthermore, the model is applied to forecast 2031 LC and LST, revealing contrasting urbanization trends. The study incorporates a hot spot analysis, categorizing thermal zones and highlighting the urban heat island (UHI) effect. The model showcases a capacity to project long-term temperature dynamics, making it a valuable tool for urban planning and climate resilience. The findings underscore the need for sustainable land use planning, emphasizing environmental preservation amid rapid urban growth.
期刊介绍:
Environmental Science and Pollution Research (ESPR) serves the international community in all areas of Environmental Science and related subjects with emphasis on chemical compounds. This includes:
- Terrestrial Biology and Ecology
- Aquatic Biology and Ecology
- Atmospheric Chemistry
- Environmental Microbiology/Biobased Energy Sources
- Phytoremediation and Ecosystem Restoration
- Environmental Analyses and Monitoring
- Assessment of Risks and Interactions of Pollutants in the Environment
- Conservation Biology and Sustainable Agriculture
- Impact of Chemicals/Pollutants on Human and Animal Health
It reports from a broad interdisciplinary outlook.