PREDICTION OF LAND SOIL EROSION USING FUZZY INFERENCE SYSTEM MODEL (FIS)

Abstract

Fuzzy Inference System appears a promising approach to address many important aspects of networks, particularly in allied fields of civil engineering. In this paper a Fuzzy Inference System for land soil erosion assessment was investigated.

The land soil erosion is controlled by multifarious parameters, such as slope, soil physical properties (texture, structure, permeability, etc.), rainfall, runoff, and crop cover.

The rainfall coefficient(R), slope coefficient (LS), soil erodibility factor (K), cropping system(C), and supporting practices (P) parameters are treated as antecedents and the land soil erosion (A) is the consequent. Developing the basis model using generalized Mamdani method based on data collected from available literature and assessment of the validity of the basic model depending on experimental data. The obtained results with Fuzzy Inference System are compared with experimental values and found remarkably close to each other values and found remarkably close to each other.