مقايسه مدل مكسنت و راسل در پهنه بندي فرسايش خاك در پارسل B2 چادگان

Comparison of the maxent an‎d RUSLE Models in Zonation Soil Erosion Rates in sub-watershed Parcel B2, Chadegan.

جغرافياي طبيعي

Soil is one of the key elements for the survival of living organisms on Earth. Undoubtedly, soil is the most important source of food production for humans on a global scale, but many factors threaten the quantity an‎d quality of soil. Water erosion affects approximately 99 billion hectares of lan‎d worldwide an‎d is one of the most widespread causes. In this study, the factors influencing erosion, as well as the prediction an‎d zoning of erosion, were examined using the Maximum Entropy (MaxEnt) an‎d RUSLE models in the Parsel B2 basin of Chadegan. First, data from 100 sampled points in the region were collected. Then, in the GIS software environment, factors related to soil erodibility, physiographic indices of the watershed, digital elevation model (DEM) data with a 12.5-meter resolution, lan‎d use maps, an‎d vegetation cover density derived from Sentinel2 satellites were processed. Each of the indices was then created in ASCII format within the GIS environment. For the implementation of the MaxEnt an‎d RUSLE models, 70% of the data was used for model training, an‎d 30% for testing. The accuracy of the implemented models was assessed using the RMSE, MAD, an‎d MSE eva‎luation indices. As a result, two erosion zoning maps for the study area were prepared in ArcGIS software an‎d compared. Among them, the MaxEnt model showed higher accuracy with a value of 0.998 compared to the RUSLE model, indicating that the MaxEnt model is more powerful an‎d better able to represent the erosion in the studied area.

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