Assessment of Soil Erosion by RUSLE Model using Remote Sensing and GIS - A case study of Ziz Upper Basin Southeast Morocco

Fenjiro, Imad; Zouagui, Anis; Manaouch, Mohamed

doi:10.5775/fg.2020.013.d

Cited by 7 publications

(7 citation statements)

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“…Recorded annual rainfall rates fluctuate between 119 to 377 mm. yr -1 (Fenjiro et al, 2020). Average annual temperature values are between 19.2 °C and 10.2 °C.…”

Section: Study Areamentioning

confidence: 99%

“…Generally, five types of LULC predominate in the study area (Figure 2f), the most important of which are rangeland or poorly vegetated areas, degraded forests, agricultural fields, water bodies and built-up areas. Regarding the influence of the lithological factor on the susceptibility of landslides, the soil erosion factor was used instead (Fenjiro et al, 2020). The lower the value of the soil erosion factor, the higher the susceptibility to landslides.…”

Section: Raster Mapsmentioning

confidence: 99%

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Identifying Landslides Prone-Areas Using GIS-based Fuzzy Analytical Hierarchy Process Model in Ziz Upper Watershed (Morocco)

Sarwat¹,

Manaouch²,

Aghad³

et al. 2023

Ecol. Eng. Environ. Technol.

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Landslides cause massive damage to human lives, infrastructure, and property in many regions of the world. These disasters arise on unstable slopes in mountainous regions. The recent increase in these incidents in many regions, including Morocco, has attracted more attention to their study. In this paper, a combination of GIS techniques, fuzzy analytical hierarchy process (FAHP) were integrated to model landslide susceptibility in the upper Ziz catchment, south-eastern Morocco. The data used for this purpose included several geo-environmental and climatic factors affecting susceptibility to landslides. The results of this modeling showed that 16.7% of the studied area has a high susceptibility to landslides, and that the upstream western part is considered the most susceptible. Evaluation of the resulting map's accuracy using the inventory of 148 landslide events showed that the FAHP model has an important performance, as the value of the area under the curve was about 0.885.

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“…Recorded annual rainfall rates fluctuate between 119 to 377 mm. yr -1 (Fenjiro et al, 2020). Average annual temperature values are between 19.2 °C and 10.2 °C.…”

Section: Study Areamentioning

confidence: 99%

Section: Raster Mapsmentioning

confidence: 99%

Identifying Landslides Prone-Areas Using GIS-based Fuzzy Analytical Hierarchy Process Model in Ziz Upper Watershed (Morocco)

Sarwat¹,

Manaouch²,

Aghad³

et al. 2023

Ecol. Eng. Environ. Technol.

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“…We employed the revised universal soil loss equation (RUSLE) to forecast soil loss within the basin because of its ease of application and highly accurate projections predicting the quantity of erosion produced, making it one of the most extensively used models in research (Fenjiro et al, 2020;Kolli et al, 2021). In conjunction with the geographic information system and remotely sensed data, the RUSLE model will generate more precise and reliable estimations (Fenjiro et al, 2020;Saptari et al, 2015). The RUSLE model's erosion prediction ndings are utilized to estimate sediment yield patterns in the river basin (M. G. Ali et al, 2021;Ganasri & Ramesh, 2016;Kolli et al, 2021;Patil et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Several existing studies discuss susceptible watersheds to sediment yield and sediment yield estimation to assess the area's vulnerability to soil erosion (Browning & Sawyer, 2021 In this study, we map the sediment yield pattern that is able to estimate the vulnerability of irrigation sand traps throughout the POS Volcanic River Basin in Indonesia. We employed the revised universal soil loss equation (RUSLE) to forecast soil loss within the basin because of its ease of application and highly accurate projections predicting the quantity of erosion produced, making it one of the most extensively used models in research (Fenjiro et al, 2020;Kolli et al, 2021). In conjunction with the geographic information system and remotely sensed data, the RUSLE model will generate more precise and reliable estimations (Fenjiro et al, 2020;Saptari et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Mapping the Vulnerability of Irrigation Sand Traps in a Tropical Volcanic Basin, Indonesia

Pradipta,

Loc,

Park

et al. 2023

Preprint

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Sand traps in irrigation networks are typically used in mitigating canal sedimentation. In irrigation networks located in basins of high sediment yield due to the presence of volcanoes, it is essential to assess the vulnerability of sand traps. Using sediment yield at irrigation scheme inlets, sand trap vulnerability can be evaluated. This study aims to understand the vulnerability of irrigation sand traps throughout the Progo-Opak-Serang (POS) Volcanic River Basin, Indonesia, via mapping the sediment yield distributions in the basin. We employed the Revised Universal Soil Loss Equation (RUSLE) to estimate soil loss, where the results show that the average soil loss in the POS River Basin is 179.69 tons/ha/year that falls under the category of moderate erosion potential, while the average sediment yield for the whole basin is 51.04 tons/ha/year. Parts of the basin with high yields of more than 180 tons/ha/year were mostly found along the volcanic mountains such as Sindoro, Sumbing, Merapi, Merbabu, and Telomoyo, and the Menoreh Hills. The model demonstrated relatively high performace with R2, NSE, RMSE, and MAE of 0.89, 0.82, 0.14, and 0.11, respectively. Within the POS Basin, Badran, Kalibawang, and Blawong are the three most vulnerable irrigation sand traps, with sediment yield values of 252.83, 178.92, and 63.49 tons/ha/year, respectively; they are all located in sub-watershed outlets. The vulnerability assessment conducted in this study can be used for the decision support system (DSS) to prioritize irrigation sand traps towards a more effective irrigation system development.

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“…RUSLE is usually used for estimating annual erosion. The disadvantage of this model is that it cannot measure the amount of sediment produced 38 . MUSLE is a modified version of RUSLE that includes additional parameters that are not always accessible.…”

Section: Introductionmentioning

confidence: 99%

Mapping the vulnerability of irrigation sand traps in a tropical volcanic basin, Indonesia

Pradipta,

Loc,

Park

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Sand traps in irrigation networks are typically used in mitigating canal sedimentation. In irrigation networks located in basins of high sediment yield due to the presence of volcanoes, it is essential to assess the vulnerability of sand traps. Using sediment yield at irrigation scheme inlets, sand trap vulnerability can be evaluated. This study aims to understand the vulnerability of irrigation sand traps throughout the Progo–Opak–Serang (POS) Volcanic River Basin, Indonesia, via mapping the sediment yield distributions in the basin. We employed the Revised Universal Soil Loss Equation to estimate soil loss, where the results show that the average soil loss in the POS River Basin is 179.69 tons/ha/year that falls under the category of moderate erosion potential, while the average sediment yield for the whole basin is 51.04 tons/ha/year. Parts of the basin with high yields of more than 180 tons/ha/year were mostly found along the volcanic mountains such as Sindoro, Sumbing, Merapi, Merbabu, and Telomoyo, and the Menoreh Hills. The model demonstrated relatively high performance with R2, NSE, RMSE, and MAE of 0.89, 0.82, 0.14, and 0.11, respectively. Within the POS Basin, Badran, Kalibawang, and Blawong are the three most vulnerable irrigation sand traps, with sediment yield values of 252.83, 178.92, and 63.49 tons/ha/year, respectively; they are all located in sub-watershed outlets. The vulnerability assessment conducted in this study can be used for the decision support system to prioritize irrigation sand traps towards a more effective irrigation system development.

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Assessment of Soil Erosion by RUSLE Model using Remote Sensing and GIS - A case study of Ziz Upper Basin Southeast Morocco

Cited by 7 publications

References 0 publications

Identifying Landslides Prone-Areas Using GIS-based Fuzzy Analytical Hierarchy Process Model in Ziz Upper Watershed (Morocco)

Identifying Landslides Prone-Areas Using GIS-based Fuzzy Analytical Hierarchy Process Model in Ziz Upper Watershed (Morocco)

Mapping the Vulnerability of Irrigation Sand Traps in a Tropical Volcanic Basin, Indonesia

Mapping the vulnerability of irrigation sand traps in a tropical volcanic basin, Indonesia

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