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首页> 外文期刊>Atmosphere >Accurate Characterization of Land Cover in Urban Environments: Determining the Importance of Including Obscured Impervious Surfaces in Urban Heat Island Models
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Accurate Characterization of Land Cover in Urban Environments: Determining the Importance of Including Obscured Impervious Surfaces in Urban Heat Island Models

机译:准确表征城市环境中的土地覆盖:确定城市热岛模型中包括被遮盖的不透水表面的重要性

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Urban heat islands (UHI) increase summer temperatures and can threaten human well-being during extreme heat events. Since urbanization plays a key role in UHI development, accurate quantification of land cover types is critical to their identification. This study examines how quantifying land cover types using both two- and three-dimensional approaches to land cover quantification affects an UHI model’s explanatory power. Two-dimensional approaches treat tree canopies as a land cover, whereas three-dimensional approaches document the land cover areas obscured under tree canopies. We compare how accurately the two approaches explain elevated air temperatures in Chicago, Illinois. Our results show on average 14.1% of impervious surface areas went undocumented using a two-dimensional approach. The most common concealed impervious surfaces were sidewalks, driveways, and parking lots (+6.2%), followed by roads (+6.1%). Yet, the three-dimensional approach did not improve the explanatory power of a UHI model substantially. At 2 a.m., the adjusted R 2 increased from 0.64 for a two-dimensional analysis to 0.68 for a three-dimensional analysis. We found that the less time consuming two-dimensional quantification of land covers was sufficient to predict neighborhood UHIs. As climate change exacerbates UHI, more cities will map urban hotspots and this research increases our understanding of alternative approaches.
机译:城市热岛(UHI)升高了夏季温度,并可能在极端高温事件中威胁人类的福祉。由于城市化在UHI发展中起着关键作用,因此准确量化土地覆盖类型对其识别至关重要。这项研究探讨了使用二维和三维方法对土地覆盖物进行量化来量化土地覆盖物类型如何影响UHI模型的解释力。二维方法将树冠层视为土地覆盖,而三维方法则记录了树冠下被遮盖的土地覆盖区域。我们比较两种方法解释伊利诺伊州芝加哥市气温升高的准确性。我们的结果表明,使用二维方法平均无渗透表面积的14.1%没有记录。最常见的隐藏不透水表面是人行道,车道和停车场(+ 6.2%),其次是道路(+ 6.1%)。但是,三维方法并没有真正提高UHI模型的解释能力。凌晨2点,调整后的R 2从二维分析的0.64增加到三维分析的0.68。我们发现,较少耗时的土地覆被二维量化足以预测邻里的UHI。随着气候变化加剧UHI,更多的城市将绘制城市热点图,这项​​研究增加了我们对替代方法的理解。

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