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Evaluate the Accuracy of Fargas and BLM Models for Identification of Erosion Intensity

机译:评估Fargas和BLM模型用于确定侵蚀强度的准确性

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Erosion process not only changes the land use to badlands, but also produces sediments that are dumped in the dam reservoirs, reduces the reservoir volume and finally makes it useless. So, it is necessary to do study on erosion intensity and the sediment production evaluation for which there are some methods and models. The experimental Fargas and BLM models are largely used for this issue, in Iran as well as many other countries, separately or together based on the data availability. These studies results are as data for sediment supply estimation in different watershed management studies. So, the result accuracy is important for determination of sediment occurrence. This study evaluates these models’ results accuracy, in order to find the limitations and any solutions. Therefore, these two models were used and run in the same area, Aghbolagh drainage basin, Iran; the results were compared and evaluated. These models are based on some factors like rock type, drainage density, surface erosion and litter cover. The study includes field and laboratory analysis. The data were combined in GIS software and processed. The results reveal that, Fargas model predicts 3.67%, 14.26% and 81.06% of the area susceptible for high, severe and very severe erosion respectively; whilst, referring to BLM model outcome, 42.96% area has high sensitivity; 42.96% and 24.94% of the area have high and severe sensitivity for erosion, respectively. Furthermore, both models show same severity for around 18% of the study area. So, for these two models results very low similarities are concluded, which could be an indication of low reliability of the results, especially when they are used separately without any combination or comparison. Finally, it is recommended to use both of them together, or use another method beside each mentioned models.
机译:侵蚀过程不仅将土地利用改变为荒地,还产生沉积物,这些沉积物被倾倒在大坝水库中,减少了水库的体积,最终使水无用。因此,有必要对一些方法和模型进行侵蚀强度研究和产沙量评价。在伊朗以及许多其他国家,基于数据可用性,实验性的Fargas和BLM模型主要用于此问题。这些研究结果作为不同流域管理研究中沉积物供应估算的数据。因此,结果的准确性对于确定沉积物的发生很重要。这项研究评估了这些模型的结果准确性,以找到局限性和任何解决方案。因此,这两个模型在伊朗Aghbolagh流域的同一地区使用并运行。比较结果并进行评估。这些模型基于一些因素,例如岩石类型,排水密度,表面侵蚀和垃圾覆盖。该研究包括现场和实验室分析。将数据合并到GIS软件中并进行处理。结果表明,Fargas模型预测分别发生高,严重和非常严重侵蚀的地区分别为3.67%,14.26%和81.06%。同时,参照BLM模型结果,42.96%的区域具有较高的敏感性;分别有42.96%和24.94%的地区对侵蚀具有很高的敏感性。此外,两种模型在大约18%的研究区域中显示出相同的严重性。因此,对于这两个模型,得出的结果相似性非常低,这可能表明结果的可靠性很低,尤其是当它们单独使用而没有任何组合或比较时。最后,建议将它们一起使用,或者在每个提到的模型之外使用其他方法。

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