Gully erosion susceptibility mapping using artificial intelligence and statistical models
نویسندگان
چکیده
منابع مشابه
Accuracy Assessment of Gully Erosion Susceptibility Map Using SVM and MARS Methods in Shazand Watershed
Gully erosion found to be typical erosion form in semiarid and arid landscape. Because of the importance of this phenomenon, various studies have been conducted around the world to assess gully erosion and its effects. The purpose of this research was accuracy assessment of gully erosion susceptibility maps using SVM and MARS models in the Shazand watershed. Acquiring information about the gull...
متن کاملModeling the Potential of Gully Erosion Occurrence Applying Shannon Entropy and Statistical Index Models in Seymareh Region
1- Introduction The gully erosion occurrence, due to the high rate of sediment production in the watershed, is one of the problems of natural resources management in the context of soil management and protection. It is known as an important signature of land degradation and forming as well as a source of sediment in a range of environments. Gully erosion often has severe environmental and econ...
متن کاملGully Erosion Susceptibility Assessment using Multivariate Regression Model (Case Study: Kiasar, Southern Mazandaran Province)
Gully erosion when it comes to positive processes in the most severe operating conditions and the most favorable conditions for the performance of other words is a positive process. One of the most important issues discussed gully erosion monitoring and evaluation of benchmarking is to extract and identify the type of erosion. In this paper the groove factor and drainage ditches, and selected a...
متن کاملGully Erosion after Wildfire
Predicting runoff and erosion from watersheds burned by wildfires requires an understanding of the spatial structure of both hillslope and channel drainage networks. We investigate the small-scale and large-scale structures of drainage networks using field studies and computer analysis of 30-m digital elevation model. Topologic variables were derived from a composite 30-m DEM, which included 14...
متن کاملAssessment of Artificial Neural Network Models and Maximum Entropy in Zoning of Gully Erosion Sensitivity of Golestan Dam Basin
Zoning of gully erosion susceptibility and determining the factors controlling gully erosion is very important and vital. The aim of this study was to investigate the spatial distribution of gully erosion using two models of ANN and MaxEnt and to determine the factors affecting this type of erosion in Golestan Dam basin. Therefore, 14 factors in the form of three divisions, including topographi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geomatics, Natural Hazards and Risk
سال: 2020
ISSN: 1947-5705,1947-5713
DOI: 10.1080/19475705.2020.1753824