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Relationship between sensible heat flux and landcover pattern in an urban area

机译:市区感热通量与土地覆盖格局的关系

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Taking Xiamen city as the study area, this research retrieved sensible heat flux by using meteorological data and Landsat 5 TM images of the four seasons in 2009. Meanwhile the 65 different landscape metrics of each analysis unit were acquired by landscape analysis method. Then the most effective landscape metrics, which could affect sensible heat flux, were determined by correlation analysis, partial correlation analysis, etc. The results showed that the spatial composition of land cover pattern has significant effect on sensible heat flux. The proportion of forest land is the most important factor which affects and explains the cross-seasonal differences of sensible heat flux. But the spatial allocation of land cover pattern has no significant influence on sensible heat flux. This study is helpful in exploring the formation and evolution mechanism of urban heat island. It also has both theoretical meaning and applicable value for urban planning and administration.
机译:本研究以厦门市为研究区域,利用气象数据和2009年4个季节的Landsat 5 TM影像反演了感热通量。同时,利用景观分析方法获取了每个分析单元的65个不同的景观量度。然后通过相关分析,偏相关分析等方法确定了影响显热通量的最有效景观指标。结果表明,土地覆盖格局的空间组成对显热通量具有显着影响。林地比例是影响和解释感热通量的跨季节差异的最重要因素。但是,土地覆盖格局的空间分配对显热通量没有显着影响。本研究有助于探索城市热岛的形成和演化机理。它对于城市规划和管理也具有理论意义和适用价值。

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