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지질조사와 자원연구를 선도하는 한국지질자원연구원 korea institute of geoscience and mineral resouces

논문 상세정보

논문 상세정보
학회/학술지명 SCIENCE OF THE TOTAL ENVIRONMENT 주저자 Ali Azareh
발표매체 SCI 국가명 네덜란드
논문명 국문 Modelling gully-erosion susceptibility in a semi-arid region, Iran:Investigation of applicability of certainty factor and maximumentropy models
영문 Modelling gully-erosion susceptibility in a semi-arid region, Iran:Investigation of applicability of certainty factor and maximumentropy models
발표일 2019.02.08
관련과제 디지털매핑에 의한 통합 지질정보 제공기술 개발 바로가기
초록 Gully erosion susceptibility mapping is a fundamental tool for land-use planning aimed atmitigating land degradation.
However, the capabilities of some state-of-the-art data-mining models for developing accurate maps of
gully erosion susceptibility have not yet been fully investigated. This study assessed and compared the performance
of two different types of data-mining models for accurately mapping gully erosion susceptibility at a regional
scale in Chavar, Ilam, Iran. The two methods evaluated were: Certainty Factor (CF), a bivariate statistical
model; andMaximumEntropy (ME), an advancedmachine learningmodel. Several geographic and environmental
factors that can contribute to gully erosionwere considered as predictor variables of gully erosion susceptibility.
Based on an existing differential GPS survey inventory of gully erosion, a total of 63 eroded gullies were
spatially randomly split in a 70:30 ratio for use inmodel calibration and validation, respectively. Accuracy assessments
completed with the receiver operating characteristic curve method showed that the ME-based regional
gully susceptibility map has an area under the curve (AUC) value of 88.6% whereas the CF-based map has an
AUC of 81.8%. According to jackknife tests that were used to investigate the relative importance of predictor variables,
aspect, distance to river, lithology and land use are themost influential factors for the spatial distribution of gully erosion susceptibility in this region of Iran. The gully erosion susceptibility maps produced in this study
could be useful tools for landmanagers and engineers taskedwith road development, urbanization and other future
development.

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