黑土区基准坡长和LS算法对地形因子的影响

该文结合小区实测坡长资料及Mc Cool数据,对地形因子算法中涉及的基准坡长影响和不同算法计算值的特征进行了讨论。研究表明,在坡长较小的情况下,20和22.13 m基准坡长计算得到的坡长因子相差不大,但随着坡度增加,在坡长指数的复合影响下,两者的差异渐趋增大。理论分析表明,坡长指数采用与坡度相关的变值更为合理。通过与实测数据对比发现,修正版通用土壤侵蚀模型(RUSLE)算法中的坡长因子与其更为接近,结合与Mc Cool数据的对比分析表明,研究区坡长指数更适合细沟和细沟间侵蚀比率中等的情形,或者采用RUSLE模型算法计算得到。同时研究发现,张宪奎算法、Moore算法、Desmet算法和B?hner算法计算得到的LS因子值都要比参照值小,而且4种算法与参照值的接近程度依次降低。空间分布特征而言,栅格累计算法总体较为破碎,并在平直坡面出现较多平行分布条带,而含有面积指标的其他3种算法则总体呈现光滑连续特性,但有无数据区域的存在。该结果对于研究区土壤侵蚀模型地形因子算法选择具有一定的现实意义。

Effects of both slope length of standard plot and algorithms of LS on calculated values of topography factor (LS) in black soil areas inNortheast China

Abstract: The soil erosion model, Universal Soil Loss Equation (USLE) model and its principal derivative, Revised Universal Soil Loss Equation (RUSLE) model have been widely used in the past decades. However, the use of USLE and RUSLE has been limited as they can't generate reliable estimation of topography factor (i.e. slope length and slope grade, LS). Due to the fact that simple slope length can not fully represent the influence of topography, various approaches and algorithms have been proposed. These algorithms are raster grid cumulation, unit stream power theory, contributing area, sediment transport index and network triangulation etc., which partly reflect the impact of complex terrain. In this paper, several approaches were discussed, which were Remortel code (its benchmark slope length being 22.13 m), Zhang Xiankui algorithms (its benchmark slope length being 20 m), Moore algorithm (representing unit stream power theory), Desmet algorithm (representing contributing area method) and B?hner algorithm (representing sediment transport index method). Based on the measured data from slope length plot and McCool's data, the influence of standard slope length was discussed, and the characteristics of different algorithms of LS factor were analyzed. It is found that when the slope gradient is relatively small, the difference of slope length (L) factor between the benchmark slope lengths of 20 and 22.13 meters is small. With the increase of slope gradient, the difference is becoming more and more obvious under the superposed impact of slope length index. In addition, L factor calculated by RUSLE algorithm is closer to that of measured data, and the comparative analysis combined with McCool data shows that the slope length's exponent is more suitable for the middle erosion ratio of rill and interrill. Given the measured data used for only one year, further varification would be needed for the fitness of RUSLE. It is also found that the referenced values of LS factor are larger than that of Zhang Xiankui algorithms, Moore algorithm, Desmet algorithm and B?hner algorithm. It indicates that from the slope of linear regression equations, the closeness between the four above-mentioned algorithms and reference values increases respectively. However, L factor and slope (S) factor don't show the same trend. Taking LS factor value from Zhang Xiankui as an example, there is larger difference for L factor between algorithms of Zhang Xiankui and McCool, while both of the S factor values are almost the same. As for the spatial distribution of LS values from different algorithms, there presented different characteristics. Raster cumulative algorithm generally exhibits more fragmentation, and there are more parallel bands on straight slope. While the other three algorithms show a smooth and continuous feature overall, but there exist areas without data.