Soil erosion is a worldwide threat that results in soil degradation, agriculture abandonment, and crop yield reduction. There is a need to find methods to survey soil erosion rates in order to improve and develop sustainable land planning. The present study utilizes new approaches based on the fuzzy set both in designing the problem (through the fuzzy decision making trial and evaluation laboratory) and in prioritizing the effective factors to mitigate soil erosion (using a fuzzy analytical network process, FANP). This study is first to apply these methods to soil erosion. A set of geo‐environmental factors influencing soil erosion was characterized to evaluate the potential risk of soil erosion in the Nor‐Rood watershed in Iran. The layers of information were developed using expert knowledge, and a network structure was designed by the fuzzy decision making trial and evaluation laboratory method. Then, the weights of layers were calculated by the FANP method by considering the internal and external interaction between factors. The erosion susceptibility map was produced by combining layers based on their weights in a geographic information system platform and was validated using erosion occurrences recorded in field surveys. Results revealed that FANP model accuracy is high (83.4% accuracy) for the study area. We found that vegetation, drainage density, land use, and soil erodibility are the key parameters to explain the soil erosion rates. The soil erosion risk map developed by the FANP method provides useful information for sustainable planning and risk mitigation and can be used in a data‐poor environment.

中文翻译：

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使用 FANP 进行土壤侵蚀敏感性的空间预测：模糊 DEMATEL 方法的应用

土壤侵蚀是一种全球性威胁，会导致土壤退化、农业荒废和作物减产。需要找到调查土壤侵蚀率的方法，以改进和发展可持续的土地规划。本研究利用基于模糊集的新方法来设计问题（通过模糊决策试验和评估实验室）和优先考虑减轻土壤侵蚀的有效因素（使用模糊分析网络过程，FANP）。本研究首次将这些方法应用于土壤侵蚀。表征了一组影响土壤侵蚀的地质环境因素，以评估伊朗 Nor-Rood 流域土壤侵蚀的潜在风险。信息层是使用专家知识开发的，并采用模糊决策试验与评价实验室方法设计网络结构。然后，考虑因素之间的内部和外部相互作用，通过FANP方法计算层的权重。侵蚀敏感性图是通过在地理信息系统平台中根据层的权重组合而成的，并使用实地调查中记录的侵蚀事件进行验证。结果表明，研究区的 FANP 模型精度很高（83.4% 的精度）。我们发现植被、排水密度、土地利用和土壤可蚀性是解释土壤侵蚀率的关键参数。由 FANP 方法开发的土壤侵蚀风险图为可持续规划和风险缓解提供了有用的信息，可用于数据贫乏的环境。