坦桑尼亚首都达累斯萨拉姆城市土地利用/覆被变化对地表温度的影响:地理空间方法的应用

Simon, Olipa, Lyimo, James, Yamungu, Nestory
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引用次数: 0

摘要

土地利用和土地覆被的变化影响着地球的能量平衡和区域气候。地表温度(LST)是这一变化的重要指标。在达累斯萨拉姆大都市的研究调查了地表温度及其与建筑高度和密度、城市热岛、光谱指数和城市形态决定因素的关系。本研究利用截面曲线、弦图和简单线性回归模型研究了达累斯萨拉姆市(DMC)地表温度变化对地表温度的影响。从1995年、2009年和2017年的Landsat 5 TM和8 OLI/TIRS图像中提取地表温度。通过监督随机森林分类算法识别LULC。1995年至2017年,建成区面积增长8%,植被面积下降7%,裸地面积下降3%。结果,平均地表温度上升了3°C。建成区温度最高(24 ~ 26.5℃),裸地次之(22 ~ 25.5℃)。植被和水体温度最低(21 ~ 25℃)。建成区面积与地表温度正相关,植被、水体、裸土与地表温度负相关。研究结果可以帮助地方当局执行城市规划法规,提高公众意识,并指导决策者制定面向未来的可持续规划和管理战略。 关键词:达累斯萨拉姆,土地利用,土地覆盖,简单线性回归模型,地表温度,弦图
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Influence of Urban Land Use Land Cover Changes on Land Surface Temperature in Dar es Salaam Metropolitan City, Tanzania: The Use of Geospatial Approach
Land use land cover (LULC) changes affect the planet's energy balance and region's climate. Land Surface Temperature (LST) is a vital indicator of this change. Studies in Dar es Salaam Metropolitan City have investigated LST and its relationships with building heights and densities, urban heat islands, spectral indices, and urban morphological determinants. The present study used cross-sectional profiles, chord diagrams, and simple linear regression models to examine the influence of LULC changes on the LST in Dar es Salaam Metropolitan City (DMC). LST was extracted from Landsat 5 TM and 8 OLI/TIRS images for 1995, 2009, and 2017. LULC was identified via the supervised random forest classification algorithm. Between 1995 and 2017, built-up areas rose by 8%, vegetation fell 7%, and bare soil 3%. As a result, the average LST rose by 3 °C. Built-up areas had the highest temperatures (24–26.5 °C), followed by bare soil (22–25.5 °C). The lowest temperatures (21–25 °C) were on vegetation and water. Built-up area positively correlated with LST, while vegetation, water bodies, and bare soil negatively correlated. The study results can assist local authorities in enforcing urban planning regulations, raising public awareness, and guiding policymakers in creating sustainable planning and management strategies for the future. Keywords: Dar es Salaam, Land use land cover, simple linear regression model, land surface temperature, chord diagrams
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