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首页> 外文期刊>Arabian journal of geosciences >Determining the effective parameters and their optimal combination in rill erosion modeling
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Determining the effective parameters and their optimal combination in rill erosion modeling

机译:确定钻探侵蚀模型中的有效参数及其最佳组合

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摘要

Rill erosion is under the influence of several parameters which their recognitions and optimal combination will be necessary in modeling. One of the soil degradation reasons on hills of Mashhad vicinity is rill erosion that makes recognition of the behavior and control essential. So in this research, by establishing 50-m transects in each different slope length, effective parameters in shaping rills, including canopy cover, ground cover, gravel, sand, silt, clay, slope, and mutual effects between length and degree of slope have been measured. Surface area of rills has been calculated by measuring width and depth of each rill and their geometric sections. Gamma test has been applied in order to find optimal combination of input parameters. Whereas the statistical tests including gamma, V-Ratio, gradient, and standard error were different, combined statistics index of Modified Ideal Point Error (MIPE) has been employed. This statistic criterion shows that parameters composition including surface gravel, silt, slope and mutual effects between length and degree of slope is the optimal model. Ground cover, amount of silt, and gravel surface, respectively, play more important role when the priority of their effect is being considered.
机译:细沟侵蚀受到几个参数的影响,在建模中,它们的识别和最佳组合是必要的。马什哈德(Mashhad)附近丘陵地区土壤退化的原因之一是小溪侵蚀,这使得人们必须认识到其行为和控制。因此,在本研究中,通过在每个不同的坡度长度上建立50 m的样点,塑造小溪的有效参数(包括冠层,地面覆盖,砾石,沙子,淤泥,粘土,坡度以及坡度和坡度之间的相互影响)具有被测量。小溪的表面积是通过测量每条小溪的宽度和深度及其几何截面来计算的。为了找到输入参数的最佳组合,已进行了伽玛测试。包括gamma,V-Ratio,梯度和标准误差在内的统计检验是不同的,但已采用修正理想点误差(MIPE)的组合统计指标。该统计标准表明,包括地表砂砾,粉沙,坡度以及坡度和坡度之间的相互影响等参数组合是最优模型。当考虑优先考虑其影响时,地表覆盖物,淤泥量和砾石表面分别起着更重要的作用。

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