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An evaluation of landscape evolution models to simulate decadal and centennial scale soil erosion in grassland catchments

机译:模拟草地流域十年和百年尺度土壤侵蚀的景观演化模型评估

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There are a number of landscape evolution models now developed to the stage where they can be routinely used for both geomorphic evaluations and quantification of soil erosion rates and processes when subject to the action of rainfall and runoff. These models have considerable advantages over traditional modelling approaches as they remove the need to manually determine slope length and angle and because they can also determine both erosion and deposition. A further advantage of digital elevation based models is that they dynamically adjust the landscape in response to erosion and deposition, thus producing a better representation of slope length and angle over the duration of the simulation. A recent advance is that these models now have the ability to employ spatially variable hydrological and erosion parameters, the spatial distribution of soil particle size at user defined soil depths as well as several different flow direction algorithms. While these options are available in these models, minimal evaluation of these hydrological and geomorphological functions has taken place to assess whether they are correct. This study evaluates the well known SIBERIA and CAESAR models for their ability to predict landscape form and erosion for a grassland catchment in South-East Australia under similar rainfall conditions. The results demonstrate that both models predict similar hillslope form as well as erosion rates over a 1000-year modelled period. They also predict erosion rates within the range of independently determined field measured data using environmental tracers at decadal time scales for the site and region demonstrating the models are reliable in the setting examined here.
机译:现在有许多景观演化模型已经开发到阶段,当受到降雨和径流的影响时,它们可以常规用于地貌评估以及土壤侵蚀速率和过程的量化。这些模型与传统的建模方法相比具有相当大的优势,因为它们消除了手动确定坡度长度和角度的需要,并且因为它们还可以确定侵蚀和沉积。基于数字高程的模型的另一个优点是,它们可以响应侵蚀和沉积来动态调整景观,从而在模拟过程中更好地表示坡度和角度。最近的一项进展是,这些模型现在具有使用空间可变的水文和侵蚀参数,用户定义的土壤深度处的土壤粒径的空间分布以及几种不同的流向算法的能力。尽管这些选项在这些模型中可用,但是已经对这些水文和地貌功能进行了最小的评估,以评估它们是否正确。这项研究评估了著名的SIBERIA和CAESAR模型在相似的降雨条件下预测澳大利亚东南部草原集水区景观形式和侵蚀的能力。结果表明,这两个模型都预测了相似的山坡形态以及在1000年的建模期内的侵蚀速率。他们还使用环境示踪剂在场地和区域的年代际尺度上预测了在独立确定的现场测量数据范围内的侵蚀速率,这表明模型在此处研究的环境中是可靠的。

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