{"title":"印度昌迪加尔中央直辖区城市变暖研究:地理空间方法","authors":"Jyoti Saini, Anil Kumar Gupta, Anamika Shrivastava, Renu Dhupper","doi":"10.1007/s00704-024-05128-w","DOIUrl":null,"url":null,"abstract":"<p>Increasing population density leads to higher building density and significant alterations in urban land use and land cover (LULC). Particularly, the expansion of built-up areas substantially influences land surface temperature (LST), contributing to the formation of urban heat islands (UHI). This study aims to determine the relationship between UHI formations and the presence of urban grey infrastructure versus green spaces over a 22-year period. The research involves developing maps of NDVI, NDBI, LULC, LST, UHI, and UTFVI using Landsat 4–5 TM and 8–9 OLI/TIRS satellite images for the years 2000 and 2022. Data processing was conducted using ArcGIS Desktop and ERDAS Imagine, with results assessed in MATLAB and Excel. The findings reveal significant changes in NDVI, NDBI, and LST in the study area over time, highlighting the UHI effect characterized by a temperature increase of approximately 5–6 °C. Conversely, the UTFVI study indicated an improvement in ecological conditions in some areas by 2022 due to increased NDVI. This study underscores the importance of comprehensive land-use strategies to promote a sustainable and climate-resilient future for Chandigarh by mitigating the UHI effect through the enhancement of green vegetation in regions with rising LST. Furthermore, the LULC mapping accuracy is tested with an outstanding precision of 95%.</p>","PeriodicalId":22945,"journal":{"name":"Theoretical and Applied Climatology","volume":"49 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study of urban warming in Chandigarh union territory, India: geospatial approach\",\"authors\":\"Jyoti Saini, Anil Kumar Gupta, Anamika Shrivastava, Renu Dhupper\",\"doi\":\"10.1007/s00704-024-05128-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Increasing population density leads to higher building density and significant alterations in urban land use and land cover (LULC). Particularly, the expansion of built-up areas substantially influences land surface temperature (LST), contributing to the formation of urban heat islands (UHI). This study aims to determine the relationship between UHI formations and the presence of urban grey infrastructure versus green spaces over a 22-year period. The research involves developing maps of NDVI, NDBI, LULC, LST, UHI, and UTFVI using Landsat 4–5 TM and 8–9 OLI/TIRS satellite images for the years 2000 and 2022. Data processing was conducted using ArcGIS Desktop and ERDAS Imagine, with results assessed in MATLAB and Excel. The findings reveal significant changes in NDVI, NDBI, and LST in the study area over time, highlighting the UHI effect characterized by a temperature increase of approximately 5–6 °C. Conversely, the UTFVI study indicated an improvement in ecological conditions in some areas by 2022 due to increased NDVI. This study underscores the importance of comprehensive land-use strategies to promote a sustainable and climate-resilient future for Chandigarh by mitigating the UHI effect through the enhancement of green vegetation in regions with rising LST. Furthermore, the LULC mapping accuracy is tested with an outstanding precision of 95%.</p>\",\"PeriodicalId\":22945,\"journal\":{\"name\":\"Theoretical and Applied Climatology\",\"volume\":\"49 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theoretical and Applied Climatology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1007/s00704-024-05128-w\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical and Applied Climatology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s00704-024-05128-w","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Study of urban warming in Chandigarh union territory, India: geospatial approach
Increasing population density leads to higher building density and significant alterations in urban land use and land cover (LULC). Particularly, the expansion of built-up areas substantially influences land surface temperature (LST), contributing to the formation of urban heat islands (UHI). This study aims to determine the relationship between UHI formations and the presence of urban grey infrastructure versus green spaces over a 22-year period. The research involves developing maps of NDVI, NDBI, LULC, LST, UHI, and UTFVI using Landsat 4–5 TM and 8–9 OLI/TIRS satellite images for the years 2000 and 2022. Data processing was conducted using ArcGIS Desktop and ERDAS Imagine, with results assessed in MATLAB and Excel. The findings reveal significant changes in NDVI, NDBI, and LST in the study area over time, highlighting the UHI effect characterized by a temperature increase of approximately 5–6 °C. Conversely, the UTFVI study indicated an improvement in ecological conditions in some areas by 2022 due to increased NDVI. This study underscores the importance of comprehensive land-use strategies to promote a sustainable and climate-resilient future for Chandigarh by mitigating the UHI effect through the enhancement of green vegetation in regions with rising LST. Furthermore, the LULC mapping accuracy is tested with an outstanding precision of 95%.
期刊介绍:
Theoretical and Applied Climatology covers the following topics:
- climate modeling, climatic changes and climate forecasting, micro- to mesoclimate, applied meteorology as in agro- and forestmeteorology, biometeorology, building meteorology and atmospheric radiation problems as they relate to the biosphere
- effects of anthropogenic and natural aerosols or gaseous trace constituents
- hardware and software elements of meteorological measurements, including techniques of remote sensing