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利用结构位置作为绘制城乡交错带的基础。

Using structure locations as a basis for mapping the wildland urban interface.

机构信息

Department of Biology and Environment, University of Haifa - Oranim, Kiryat Tivon 36006, Israel.

出版信息

J Environ Manage. 2013 Oct 15;128:540-7. doi: 10.1016/j.jenvman.2013.06.021. Epub 2013 Jul 4.

Abstract

The wildland urban interface (WUI) delineates the areas where wildland fire hazard most directly impacts human communities and threatens lives and property, and where houses exert the strongest influence on the natural environment. Housing data are a major problem for WUI mapping. When housing data are zonal, the concept of a WUI neighborhood can be captured easily in a density measure, but variations in zone (census block) size and shape introduce bias. Other housing data are points, so zonal issues are avoided, but the neighborhood character of the WUI is lost if houses are evaluated individually. Our goal was to develop a consistent method to map the WUI that is able to determine where neighborhoods (or clusters of houses) exist, using just housing location and wildland fuel data. We used structure and vegetation maps and a moving window analysis, with various window sizes representing neighborhood sizes, to calculate the neighborhood density of both houses and wildland vegetation. Mapping four distinct areas (in WI, MI, CA and CO) the method resulted in amounts of WUI comparable to those of zonal mapping, but with greater precision. We conclude that this hybrid method is a useful alternative to zonal mapping from the neighborhood to the landscape scale, and results in maps that are better suited to operational fire management (e.g., fuels reduction) needs, while maintaining consistency with conceptual and U.S. policy-specific WUI definitions.

摘要

荒地-城市交界带(WUI)划定了野地火灾危害最直接影响人类社区、威胁生命和财产的区域,以及房屋对自然环境影响最大的区域。房屋数据是 WUI 制图的主要问题。当房屋数据呈区域分布时,WUI 邻里的概念可以通过密度测量轻松捕捉,但区域(人口普查块)大小和形状的变化会带来偏差。其他房屋数据是点,因此避免了区域问题,但如果单独评估房屋,则会失去 WUI 的邻里特征。我们的目标是开发一种一致的方法来绘制 WUI,该方法能够仅使用房屋位置和野地燃料数据来确定邻里(或房屋群)的位置。我们使用结构和植被图以及移动窗口分析,使用不同大小的窗口表示邻里大小,来计算房屋和野地植被的邻里密度。该方法在威斯康星州、密歇根州、加利福尼亚州和科罗拉多州四个不同区域进行了映射,结果表明 WUI 的数量与区域制图相当,但精度更高。我们得出结论,这种混合方法是从邻里到景观尺度进行区域制图的有用替代方法,并且生成的地图更适合操作火灾管理(例如燃料减少)需求,同时与概念和美国特定政策的 WUI 定义保持一致。

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