Determining the Spatial Distribution of Gully Erosion Probability Using the MaxEnt Model

Document Type : Research

Authors

1 Ph.D. Candidate, Natural Resources Faculty, University of Tehran, Karaj, Iran

2 Associate Professor, Natural Resources Faculty, University of Tehran, Karaj, Iran

3 Professor, Natural Resources Faculty, University of Tehran, Karaj, Iran

4 Assistant Professor, Natural Resources Faculty, University of Tehran, Karaj, Iran

5 Associate Professor, Soil Conservation and Watershed Management Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Shiraz, Iran

Abstract

Gully erosion is one of the most important types of water erosion, which has a great role in the destruction of land production capacity due to intra-regional and extra-regional effects. Preparing a spatial map of the possibility of gully erosion for better management of land use with the aim of reducing land degradation in areas prone to gully occurrence is very efficient. The distribution of this erosion in Iran and the extent of factors and processes affecting its creation have been a major obstacle in creating a comprehensive model for predicting its occurrence on a large scale. The purpose of this study is to prepare a map of the probability of gully erosion using the machine learning model of maximum entropy in Fars province. In this research, it has been tried to use variables related to terrestrial characteristics, especially soil. According to the results, the area under the ROC curve is above 90%, which shows that the model has been able to evaluate the gully erosion in the study area using the studied data. According to the results of the Jaknaev test, the variables of R horizon probability, soil depth, percentage of coarse grains, pH, and silt particles have the greatest impact on modeling moat erosion in the study area. The spatial distribution map of the occurrence of the gully is a map of land susceptibility to gully erosion. Based on the findings, the highest sensitivity to gully erosion is related to the south of Fars province. The map prepared in this research can be used as a basic map for land management, managers and engineers of urban planning, road construction, natural resources, and agriculture.

Keywords

References

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History

  • Receive Date: 20 May 2021
  • Revise Date: 08 August 2021
  • Accept Date: 20 September 2021

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