Predicting Soil Erosion Using RUSLE Model in Duhok Governorate, Kurdistan Region of Iraq
- 4 May 2024
- book chapter
- Published by Springer Nature
- p. 171-187
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Impacts of DEM type and resolution on deep learning-based flood inundation mappingEarth Science Informatics, 2024
- Assessment of Land Degradation Vulnerability Using GIS-Based Multicriteria Decision Analysis in Zakho District, Kurdistan Region of Iraq2022
- Role of Effective Factors on Soil Erosion and Land Degradation: A Review2022
- Assessing the change of groundwater quality compared with land-use change and precipitation rate (Zrebar Lake's Basin)Applied Water Science, 2021
- Comparison of three hybrid models to simulate land use changes: a case study in Qeshm Island, IranEnvironmental Monitoring and Assessment, 2020
- Integrated study on soil erosion using RUSLE and GIS in Yangtze River Basin of Jiangsu Province (China)Arabian Journal of Geosciences, 2019
- Monitoring and prediction of land use/land cover changes using CA-Markov model: a case study of Ravansar County in IranArabian Journal of Geosciences, 2018
- Assessing the effects of land use and topography on soil erosion on the Loess Plateau in ChinaCATENA, 2014
- Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of “Yialias” in CyprusAtmospheric Research, 2013
- Using monthly precipitation data to estimate the R-factor in the revised USLEJournal of Hydrology, 1994