随着城市人口的增加,经济、社会和环境问题不断增加,人们认为这些问题造成的小气候条件将导致更多的环境问题。影响城市地区城市气候的因素之一是城市几何。一个地区的气候会因地表形状、人类活动、大气运动以及潜热和感热通量而发生变化。天空视野系数 (SVF)、建筑物视野系数 (BVF) 和树木视野系数 (TVF) 被积极用于确定城市几何形状。然而,关于这些因素如何影响城市环境热状态的研究还不够充分。确定地表变化和热条件特征(LST、NDVI、SHF、和 LHF)取决于城市增长并研究这些特性如何影响热条件对于可持续城市规划的建设非常重要。在该研究中,计算了针对具有不同城市几何形状的三个不同区域确定的 55 个点的 SVF、BVF、TVF、LST、NDVI、SHF 和 LHF 值。评估了这些值如何相互影响以及它们对城市室外热舒适度的影响。在这项研究中,进行了统计分析以评估地表温度、地表热通量、不同视角因素和植被之间的关系。作为 ANOVA 分析的结果,它被确定为非常显着(计算了针对具有不同城市几何形状的三个不同区域确定的 55 个点的 LHF 值。评估了这些值如何相互影响以及它们对城市室外热舒适度的影响。在这项研究中,进行了统计分析以评估地表温度、地表热通量、不同视角因素和植被之间的关系。作为 ANOVA 分析的结果,它被确定为非常显着(计算了针对具有不同城市几何形状的三个不同区域确定的 55 个点的 LHF 值。评估了这些值如何相互影响以及它们对城市室外热舒适度的影响。在这项研究中,进行了统计分析以评估地表温度、地表热通量、不同视角因素和植被之间的关系。作为 ANOVA 分析的结果,它被确定为非常显着(p > 0.01) 在所有地区。SHF 和 LHF 值都与 SVF 不同。SHF值与SVF值有直接关系。LHF 与 SVF 值成反比。对于与植被有关的 SHF 变化,情况正好相反。LHF 和 NDVI 直接相关。SHF和NDVI成反比。SVF 和 NDVI 值也根据 LST 值而变化。据观察,LST 与 SVF 正相关,与 NDVI 负相关。
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Analyzing the effect of view factors on surface heat flux, surface temperature, and vegetation cover
With the increase in population in cities, economic, social, and environmental problems continue to increase, and it is thought that the microclimatic conditions created by these problems will cause more environmental problems. One of the factors affecting the urban climate in urban areas is urban geometry. The climate of a region changes due to the shape of the land surface, human activities, atmospheric movements, and latent and sensible heat fluxes. Sky view factor (SVF), building view factor (BVF), and tree view factor (TVF) are actively used in the determination of urban geometry. However, studies on how these factors affect the thermal state of the urban environment are insufficient. Determining the land surface changes and thermal condition characteristics (LST, NDVI, SHF, and LHF) depending on urban growth and examining how these properties affect thermal conditions are very important in the construction of sustainable urban planning. In the study, SVF, BVF, TVF, LST, NDVI, SHF, and LHF values of 55 points determined for three different areas with different urban geometries were calculated. How these values affect each other and their situation on urban outdoor thermal comfort is evaluated. In the study, statistical analysis was performed to evaluate the relationship between surface temperature, surface heat fluxes, different view factors, and vegetation. As a result of ANOVA analysis, it was determined as very significant (p > 0.01) in all regions. Both SHF and LHF values differ with SVF. The SHF value has a direct relationship with the SVF value. LHF is inversely proportional to the SVF value. The situation is reversed for SHF variation concerning vegetation. LHF and NDVI are directly related. SHF and NDVI are inversely proportional. SVF and NDVI values also vary according to the LST value. It has been observed that LST has a direct relationship with SVF and an inverse relationship with NDVI.