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Topographic controls on overland flow generation in a forest - An ensemble tree approach

机译:森林中陆上径流生成的地形控制-集成树方法

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Overland flow is an important hydrological pathway in many forests of the humid tropics. Its generation is subject to topographic controls at differing spatial scales. Our objective was to identify such controls on the occurrence of overland flow in a lowland tropical rainforest. To this end, we installed 95 overland flow detectors (OFDs) in four nested subcatchments of the Lutzito catchment on Barro Colorado Island, Panama, and monitored the frequency of overland flow occurrence during 18 rainfall events at each OFD location temporal frequency. For each such location, we derived three non-digital terrain attributes and 17 digital ones, of which 15 were based on Digital Elevation Models (DEMs) of three different resolutions. These attributes then served as input into a Random Forest ensemble tree model to elucidate the importance and partial and joint dependencies of topographic controls for overland flow occurrence.Lutzito features a high median temporal frequency in overland flow occurrence of 0.421 among OFD locations. However, spatial temporal frequencies of overland flow occurrence vary strongly among these locations and the subcatchments of Lutzito catchment. This variability is best explained by (1) microtopography, (2) coarse terrain sloping and (3) various measures of distance-to-channel, with the contribution of all other terrain attributes being small. Microtopographic features such as concentrated flowlines and wash areas produce highest temporal frequencies, whereas the occurrence of overland flow drops sharply for flow distances and terrain sloping beyond certain threshold values.Our study contributes to understanding both the spatial controls on overland flow generation and the limitations of terrain attributes for the spatially explicit prediction of overland flow frequencies.
机译:在潮湿的热带地区,陆上水流是重要的水文路径。它的生成受到不同空间比例的地形控制。我们的目标是确定对低地热带雨林中陆流发生的控制措施。为此,我们在巴拿马Barro Colorado Island的Lutzito集水区的四个嵌套子集水区中安装了95个陆上水流检测器(OFD),并在每个OFD位置时间频率上的18次降雨事件中监测了陆上水流发生的频率。对于每个此类位置,我们导出了三个非数字地形属性和17个数字属性,其中15个基于具有三种不同分辨率的数字高程模型(DEM)。然后将这些属性用作随机森林集成树模型的输入,以阐明地形控制对于陆流发生的重要性以及部分和联合依存关系.Lutzito在OFD位置中,陆流发生的中位时间频率很高,为0.421。但是,陆流发生的时空频率在这些位置和Lutzito流域的子流域之间变化很大。可以通过(1)微观地形,(2)粗糙的地形倾斜和(3)各种测距距离的方法来最好地解释这种变化,所有其他地形属性的贡献都很小。诸如集中流线和冲刷区等微观地形特征产生最高的时间频率,而对于水流距离和坡度超过某些阈值的坡地流量的发生急剧下降。我们的研究有助于理解对坡地流量产生的空间控制及其局限性地形属性,用于对陆路流量频率进行空间显式预测。

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