2023
DOI: 10.1016/j.jhydrol.2022.128982
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Assessment of sediment yield and deposition in a dry reservoir using field observations, RUSLE and remote sensing: Wadi Assarin, Oman

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Cited by 11 publications
(1 citation statement)
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“…Compared with the previous observation result, the RUSLE model performed effectively with the selected sub-models for all the factors. Al-Mamari et al (2023), focusing on Oman, realized that the RUSLE method has shown potential for predicting soil loss in wadi systems using a GIS environment and satellite remote sensing data. They have estimated a total soil loss of 196,599 ton/ ha yr− 1.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with the previous observation result, the RUSLE model performed effectively with the selected sub-models for all the factors. Al-Mamari et al (2023), focusing on Oman, realized that the RUSLE method has shown potential for predicting soil loss in wadi systems using a GIS environment and satellite remote sensing data. They have estimated a total soil loss of 196,599 ton/ ha yr− 1.…”
Section: Introductionmentioning
confidence: 99%