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埃塞俄比亚哈瓦萨市城市热岛缓解中植被与地表温度的地理空间分析

Geospatial analysis of vegetation and land surface temperature for urban heat island mitigation in Hawassa City, Ethiopia.

作者信息

Roba Zenebe Reta, Tabor Kenate Worku

机构信息

Department of Forestry, College of Natural Resource and Agricultural Economics, Mattu University, Bedele Campus, Bedele, Ethiopia.

Departments of Geography and Environmental Studies, College of Social Science and Humanities, Jimma University, Jimma, Ethiopia.

出版信息

Sci Rep. 2025 Aug 28;15(1):31786. doi: 10.1038/s41598-025-17014-0.

Abstract

Land Surface Temperature (LST) has emerged as a critical environmental parameter globally due to its profound impact on urban microclimates. To mitigate urban heat islands, it is crucial to use advanced geospatial techniques to map and analyze vegetation and land surface temperature for informed urban planning decisions. The main objective of this study was to examine the relationship between land surface temperature (LST) and vegetation cover in Hawassa City, employing GIS and remote sensing techniques to inform strategies for mitigating the urban heat island effect. Three different satellite datasets of Landsat 5 TM (1991), Landsat 7 ETM + (2005), and Landsat 8 OLI (2021) were employed. LST were computed from these thermal bands of datasets using mono-window algorithms. Regression and correlation analyses were conducted among LST, Normalized Difference Vegetation Index (NDVI), and Normalized Difference Built-up Index (NDBI). The results of the land cover change analysis indicate that between 1991 and 2021, dense and sparse vegetation cover declined by 1.6% and 19.3%, respectively, while built-up areas increased substantially by 23.2%. This reflects rapid urban expansion at the expense of vegetated areas. A consistent decline in urban vegetation relative to built-up areas over the three decades, contributing significantly to the increase in LST. Furthermore, the analysis revealed a negative correlation between Land Surface Temperature (LST) and the Normalized Difference Vegetation Index (NDVI), and a positive correlation with the Normalized Difference Built-up Index (NDBI), indicating that NDBI is a more effective predictor of LST than NDVI. Increasing urban green spaces and water bodies was shown to effectively reduce temperatures, with water bodies contributing to a decrease in maximum temperatures by 2.1 °C in 1991, 1.2 °C in 2005, and 0.5 °C in 2021. Therefore, expanding urban green infrastructure and rehabilitating vacant lands are vital strategies for mitigating urban heat island effects and promoting sustainable, climate-resilient development in Hawassa City.

摘要

地表温度(LST)因其对城市微气候的深远影响,已成为全球关键的环境参数。为缓解城市热岛效应,运用先进的地理空间技术绘制和分析植被与地表温度,以做出明智的城市规划决策至关重要。本研究的主要目的是考察哈瓦萨市地表温度(LST)与植被覆盖之间的关系,采用地理信息系统(GIS)和遥感技术为缓解城市热岛效应的策略提供依据。使用了三个不同的卫星数据集,分别是1991年的陆地卫星5号专题制图仪(Landsat 5 TM)、2005年的陆地卫星7号增强型专题制图仪(Landsat 7 ETM +)和2021年的陆地卫星8号运营陆地成像仪(Landsat 8 OLI)。利用单窗算法从这些数据集的热波段计算地表温度。对地表温度、归一化差异植被指数(NDVI)和归一化差异建筑指数(NDBI)进行了回归和相关性分析。土地覆盖变化分析结果表明,1991年至2021年间,茂密植被覆盖和稀疏植被覆盖分别下降了1.6%和19.3%,而建成区大幅增加了23.2%。这反映了以植被覆盖区为代价的快速城市扩张。在这三十年里,相对于建成区,城市植被持续减少,这对地表温度的升高有显著影响。此外,分析显示地表温度(LST)与归一化差异植被指数(NDVI)呈负相关,与归一化差异建筑指数(NDBI)呈正相关,这表明归一化差异建筑指数(NDBI)比归一化差异植被指数(NDVI)更能有效预测地表温度。研究表明增加城市绿地和水体可有效降低温度,水体使最高温度在1991年下降2.1℃,2005年下降1.2℃,2021年下降0.5℃。因此,扩大城市绿色基础设施和整治闲置土地是缓解哈瓦萨市城市热岛效应、促进可持续的气候适应型发展的重要策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db79/12394559/d69972a954f5/41598_2025_17014_Fig1_HTML.jpg

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