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Bias in topographic thresholds for gully heads

机译:沟谷地形阈值的偏差

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The topographic threshold for overland flow gully head represents a promising tool for both research development and users. Nevertheless, some of the basic assumptions that were used to derive the threshold equation are also at the base for errors, including systematic ones, which introduce bias in the evaluations. Particularly, the assumption that the gully head catchment (GHC) area is a synonym for runoff causes is often false. This cause errors when calculating the threshold equation parameters (i.e. exponent and coefficient of the power equation linking critical slope gradient near the gully head to the GHC area). The assumption implies that every part of the GHC is connected via continuous overland flow paths to the outlet at the moment of peak discharge. Larger areas require larger concentration times, hence longer rainfall duration. This makes the occurrence of a rainfall intensity of the right duration to allow the total connectivity of the GHC less frequent (i.e. less probable). Also the land use (characterized by a specific vegetation type) and the soil conditions could have an effect on the probability that the previous assumption is verified. In order to show this, a distributed model developed in R was used to analyse where the conditions for gully erosion are actually verified. The hydrological part was developed based on the curve number (CN) approach, including the simulation of peak discharge with a few modifications/adaptations to a spatially distributed environment. A small routine was added to simulate concentrated flow erosion and condition for gully head formation. Then, a set of simulations were run using a series of daily rainfall amount and different land use/soil scenarios. Results show a clear effect of the vegetation distribution and patterns on gully head position in the simulated landscapes. From these results, it becomes evident that CN-weighted average in composite catchments needs to be replaced by a different averaging procedures, where the fraction of catchment area as CN weight is completed by an additional weight based on distances to the catchment outlets of the different land uses.
机译:陆上水沟口的地形阈值对于研究开发和用户而言都是有前途的工具。但是,用于导出阈值方程式的一些基本假设也是错误的基础,包括系统误差,这些误差会在评估中引入偏差。特别是,沟壑集水区(GHC)是径流原因的代名词的假设通常是错误的。这在计算阈值方程参数时会导致错误(即,将沟附近附近的临界坡度坡度与GHC区域联系起来的幂方程的指数和系数)。该假设表明,GHC的每个部分在峰值排放时都通过连续的陆上流动路径连接到出口。较大的区域需要较长的集中时间,因此降雨时间更长。这使得出现了正确持续时间的降雨强度,从而使得GHC的总连通性降低了频率(即,降低了可能性)。此外,土地使用(由特定的植被类型表征)和土壤条件也可能影响先前假设得到验证的可能性。为了证明这一点,使用R开发的分布式模型来分析实际验证沟蚀的条件。水文部分是基于曲线数(CN)方法开发的,其中包括对峰值流量的模拟,并对空间分布环境进行了一些修改/调整。添加了一个小例程来模拟集中的水流侵蚀和形成沟渠头的条件。然后,使用一系列日降雨量和不同的土地利用/土壤情景进行了一组模拟。结果表明,在模拟景观中植被分布和格局对沟壑位置的影响明显。从这些结果来看,很明显,需要用不同的平均程序代替复合流域的CN加权平均值,其中,流域面积占CN重量的比例由基于到不同流域出口距离的附加权重来完成。土地用途。

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