Suitability Evaluation of Soil and Water Conservation Measures in Changting County Based on Fuzzy Weight-of-Evidence Model

CHEN Xiao-lin; XU Wei-ming; XIAO Gui-rong

doi:10.11988/ckyyb.20160780

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Journal of Changjiang River Scientific Research Institute ›› 2017, Vol. 34 ›› Issue (11) : 33-38. DOI: 10.11988/ckyyb.20160780

WATER-SOIL CONSERVATION AND ECO-CONSTRUCTION

Suitability Evaluation of Soil and Water Conservation Measures in Changting County Based on Fuzzy Weight-of-Evidence Model

CHEN Xiao-lin^1,2,3,XU Wei-ming^1,2,3,XIAO Gui-rong^1,2,3

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Abstract

Selecting indicators and determining their weights are worthy of discussion in the suitability assessment of soil and water conservation measures. In this article, a fuzzy weight-of-evidence model which is both knowledge and data driven was introduced to avoid the subjective arbitrariness in selecting indicators and determining their weights. The enclosing measures of Changting County were taken as case study. By screening out seven factors in natural suitability and social suitability, the posterior probability was calculated by comprehensively considering parameters of all factor layers, and then the maps of suitability classification were obtained. Compared with the distribution of enclosing measures from 2014 to 2015, the results show that 38.5% of the measures are highly suitable, 43.5% moderately suitable, 82% above moderately suitable, and 9.2% averagely suitable, which is highly consistent with the actual situation. The results prove that the fuzzy weight-of-evidence model could evaluate the suitability of soil and water conservation measures objectively and accurately. The results also provide reference and theoretical basis for governments in implementing soil and water conservation measures.

Key words

Changting county / fuzzy weight-of-evidence model / soil and water conservation / enclosing measures / suitability assessment

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CHEN Xiao-lin,XU Wei-ming,XIAO Gui-rong. Suitability Evaluation of Soil and Water Conservation Measures in Changting County Based on Fuzzy Weight-of-Evidence Model[J]. Journal of Changjiang River Scientific Research Institute. 2017, 34(11): 33-38 https://doi.org/10.11988/ckyyb.20160780

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