Integrating GIS-based FAHP and WaTEM/SEDEM for identifying potential RWH areas in semi-arid areas

Manaouch, Mohamed; Sarwat, Mohamed; Fenjiro, Imad

doi:10.1080/10106049.2021.2007295

Cited by 6 publications

(3 citation statements)

References 45 publications

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“…it is an index that quantifies detached and transported sediment from sheet and rill erosion by rainfall/runoff (Wischmeier and Smith 1978;Woldemariam and Harka 2020).This parameter could be estimated by considering the kinetic energy of the storm and maximum 30 min intensity (Wischmeier and Smith 1978). However, meteorological stations lack long term data of 30 min intensity and because of this gap other empirical equations that correlate mean annual rainfall and R factor were developed (Manaouch et al 2021). Rainfall data from four stations (Bichena, Dejen, Kuy and Rebugebeya) were used to calculate R-factor values of the study area (Fig.…”

Section: Rain Fall Erosivity (R-factor)mentioning

confidence: 99%

“…Soil erodibility is the most important factor that determines soil erosion and it signifies the inherent characteristics of the soil to erosion (Manaouch et al 2021). Severity of soil erosion and its spatially variability is due to the variation in soil texture, organic matter (OM) content, aggregate stability and permeability (Uddin et al 2019;Panagos et al 2014).…”

Section: Soil Erodibility (K) Factormentioning

confidence: 99%

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Quantify soil erosion and sediment export in response to land use/cover change in the Suha watershed, northwestern highlands of Ethiopia: implications for watershed management

2022

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Soil erosion accelerated by human activities is a critical challenge affecting soil health, agricultural productivity, food security and environmental sustainability in the highlands of Ethiopia. The aim of this study was to examine the dynamics of soil loss and sediment yield potential, and identify soil erosion hotspots using RUSLE with GIS in the Suha watershed, north western highlands of Ethiopia. Digital Elevation Model, LU/LC, rainfall, soil, and conservation practice were used as input data for RUSLE model. The estimated total annual soil loss for the entire watershed increased from 1.22 million tons in 1985 to 2.43 million tons in 2019, with average annual soil loss rates of 15.2 t ha−1 yr−1 and 31.4 t ha−1 yr−1 respectively. Total sediment yield also increased from 317.52 to 630.85 thousand tons over the past 35 years. In addition, the area of soil erosion hotspots changed from 15.2% (12,708 ha) to 32% (25,660 ha) during the same periods. Sub watershed 1, 2, 15, 17, 18, and 23 are severely degraded parts of the watershed. Expansion of agriculture and bare land as the expenses of other land use types over the past 35 years could be the major causes of extensive soil erosion risk in the watershed. Besides its temporal variability, soil loss and sediment export also showed variation between land use/cover classes. The estimated results of soil loss and sediment yield as well as soil erosion hotspots revealed that the soil erosion risk is progressively increasing during the study periods. Unless action is taken and the current condition is reversed, it will critically threat the livelihoods of the community in the watershed. Generally, the results underscore urgent demand for integrated and effective watershed management strategies.

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Section: Rain Fall Erosivity (R-factor)mentioning

confidence: 99%

Section: Soil Erodibility (K) Factormentioning

confidence: 99%

Quantify soil erosion and sediment export in response to land use/cover change in the Suha watershed, northwestern highlands of Ethiopia: implications for watershed management

2022

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“…Recently, the model has been used by the European Union to create a database of expected erosion rates in the context of the goals towards zero soil degradation [69,70]. WaTEM/SEDEM has been previously used in the Mediterranean region [10,[70][71][72][73][74], though without extended application in Greek territory [75,76]. The two previous studies that were conducted in Greece did not calibrate the model and used the default model parameters, a fact that constitutes a limited factor for the accuracy of model predictions.…”

Section: Introductionmentioning

confidence: 99%

Pre/Post-Fire Soil Erosion and Evaluation of Check-Dams Effectiveness in Mediterranean Suburban Catchments Based on Field Measurements and Modeling

Margiorou

Kastridis

Sapountzis

2022

Land

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The present study was conducted in the suburban forest of Thessaloniki city (Seich Sou), which constitutes one of the most significant suburban forests in Greece. In 1997, more than the half of the forest area was destroyed by a wildfire, after which soil erosion and flood control works (check-dams) were constructed in the burned areas. The aim of the study is to estimate the annual soil erosion rate for the last 30 years (pre- and post-fire periods) applying the WaTEM/SEDEM model, in order to investigate the impact of this wildfire on soil erosion, the effectiveness of the flood- and erosion-control works and the level of forest regeneration. It is the first time that WaTEM/SEDEM was calibrated and validated in Greece, taking into account soil erosion records from the 18 check-dams that were constructed in the study area in 2001. The mean annual erosion rate was 0.0419 t/ha/year, 0.998 t/ha/year and 0.08 t/ha/year for the pre-fire period, the first 3 years and 20 years after the fire, respectively. The results showed a very low erosion rate for the pre-fire period, an expected significant increase 3 years after the wildfire and a gradual decrease in the subsequent years until 2021. However, it seems that the post-fire regeneration of the forest has not been fully achieved, since the annual soil erosion rate at the long-term post-fire period is double compared with the pre-fire period. Concerning the check-dams’ effectiveness, it was observed that after 20 years of operation, they were non-silted, and most of them retained a small amount of sediments. This fact could be attributed to multiple factors such as the very thin soil depth, fire severity and catchment geomorphology, though the main reason seems to be the time elapsed between fire occurrence and the check-dams’ construction. The results of this study advance/strengthen the knowledge concerning the pre/post-fire soil erosion processes in already degraded ecosystems, while the calibrated model could serve as a useful tool able to be applied in other Mediterranean catchments of similar characteristics.

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Predicting potential reforestation areas by Quercus ilex (L.) species using machine learning algorithms: case of upper Ziz, southeastern Morocco

Manaouch,

Sadiki,

Pham

et al. 2023

Environ Monit Assess

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Integrating GIS-based FAHP and WaTEM/SEDEM for identifying potential RWH areas in semi-arid areas

Cited by 6 publications

References 45 publications

Quantify soil erosion and sediment export in response to land use/cover change in the Suha watershed, northwestern highlands of Ethiopia: implications for watershed management

Quantify soil erosion and sediment export in response to land use/cover change in the Suha watershed, northwestern highlands of Ethiopia: implications for watershed management

Pre/Post-Fire Soil Erosion and Evaluation of Check-Dams Effectiveness in Mediterranean Suburban Catchments Based on Field Measurements and Modeling

Predicting potential reforestation areas by Quercus ilex (L.) species using machine learning algorithms: case of upper Ziz, southeastern Morocco

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