Modeling and mapping of water erosion in northeastern Algeria using a seasonal multicriteria approach

Guidoum, Azeddine; Nemouchi, Abdelmalek; Hamlat, Abdelkader

doi:10.1007/s12517-013-1112-1

Cited by 9 publications

(6 citation statements)

References 17 publications

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“…Several studies indicated that the slope gradient is associated positively with desertification as a factor leading to soil degradation by erosion processes [28,76,129]. However, for our study area, when the slope gradient increased per unit, the susceptibility to desertification decreased by 20% (Table 4).…”

Section: Key Factors and Desertification Occurrencementioning

confidence: 57%

Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria

2017

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Abstract:The main goal of this work was to identify the areas that are most susceptible to desertification in a part of the Algerian steppe, and to quantitatively assess the key factors that contribute to this desertification. In total, 139 desertified zones were mapped using field surveys and photo-interpretation. We selected 16 spectral and geomorphic predictive factors, which a priori play a significant role in desertification. They were mainly derived from Landsat 8 imagery and Shuttle Radar Topographic Mission digital elevation model (SRTM DEM). Some factors, such as the topographic position index (TPI) and curvature, were used for the first time in this kind of study. For this purpose, we adapted the logistic regression algorithm for desertification susceptibility mapping, which has been widely used for landslide susceptibility mapping. The logistic model was evaluated using the area under the receiver operating characteristic (ROC) curve. The model accuracy was 87.8%. We estimated the model uncertainties using a bootstrap method. Our analysis suggests that the predictive model is robust and stable. Our results indicate that land cover factors, including normalized difference vegetation index (NDVI) and rangeland classes, play a major role in determining desertification occurrence, while geomorphological factors have a limited impact. The predictive map shows that 44.57% of the area is classified as highly to very highly susceptible to desertification. The developed approach can be used to assess desertification in areas with similar characteristics and to guide possible actions to combat desertification.

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Section: Key Factors and Desertification Occurrencementioning

confidence: 57%

Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria

2017

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“…Mean annual P in most of the basin is 300 mm to 450 mm, but exceeds 600 mm at the highest elevations [15]. The estimated equivalent average annual depth of P over the basin is 370 mm [14].…”

Section: Study Basinmentioning

confidence: 97%

“…The study basin is the semi-arid Chemora River Basin in northeastern Algeria (Figure 1a). The basin has an area of 759 km 2 , and includes rugged terrain ranging in elevation from 2311 m on Djebel El Mahmel to 890 m on the salt flats at the river outlet [14]. The Chemora River is formed by the confluence of the Reboa and Soultez Rivers, which drain from the south and west, respectively (Figure 1b).…”

Section: Study Basinmentioning

confidence: 99%

“…Cultivated cropland, mainly for grain farming, occupies most of the watershed [14]. The native forest cover has been severely degraded; dense forest, mainly Pinus halepensis and Quercus ilex, is now localized to the elevation zone 1200 m to 1800 m in the southwestern part of the basin [14]. The piedmonts, as well as those parts of the mountains where forests have disappeared, are occupied by rangeland and barren ground [14].…”

Section: Study Basinmentioning

confidence: 99%

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Direct Versus Indirect Tree Ring Reconstruction of Annual Discharge of Chemora River, Algeria

Meko

Touchan

Kherchouche

et al. 2020

Forests

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Annual river discharge is a critical variable for water resources planning and management. Tree rings are widely used to reconstruct annual discharge, but errors can be large when tree growth fails to respond commensurately to hydrologically important seasonal components of climate. This paper contrasts direct and indirect reconstruction as statistical approaches to discharge reconstruction for the Chemora River, in semi-arid northeastern Algeria, and explores indirect reconstruction as a diagnostic tool in reconstruction error analysis. We define direct reconstruction as predictions from regression of annual discharge on tree ring data, and indirect reconstruction as predictions from a four-stage process: (1) regression of precipitation on tree rings, (2) application of the regression model to get reconstructed precipitation for grid cells over the basin, (3) routing of reconstructed precipitation through a climatological water balance (WB) model, and (4) summing model runoff over cells to get the reconstructed discharge at a gage location. For comparative purposes, the potential predictors in both modeling approaches are the same principal components of tree ring width chronologies from a network of drought-sensitive sites of Pinus halepensis and Cedrus atlantica in northern Algeria. Results suggest that both modeling approaches can yield statistically significant reconstructions for the Chemora River. Greater accuracy and simplicity of the direct method are countered by conceptual physical advantages of the indirect method. The WB modeling inherent to the indirect method is useful as a diagnostic tool in error analysis of discharge reconstruction, points out the low and declining importance of snowmelt to the river discharge, and gives clues to the cause of severe underestimation of discharge in the outlier high-discharge year 1996. Results show that indirect reconstruction would benefit most in this basin from tree ring resolution of seasonal precipitation.

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“…For instance, Naqvi et al (2013) apply the equation to estimate soil erosion in Num Nadi watershed in India. Guidoum et al (2013) used the approach to estimate soil erosion in northeastern Algeria. Wischmeier (1976) discussed the limitations of the Universal Soil Loss Equation (USLE); these generally apply to RUSLE as well:…”

Section: Wherementioning

confidence: 99%

New approach for qualitative sediment yield assessment of ungauged drainage basins

Monsef

2014

Arab J Geosci

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The sediment yield of a drainage basin during flood events has a remarkable impact on a desert ecosystem. While sediment yield increases the destructive impact of the flood, it also influences the recovery of disturbed surfaces downslope from source areas in desert landscapes. For environmental change and flood mitigation, it is important to evaluate the sedimentary yield of drainage basins. The current study proposes a simple method to qualitatively evaluate sediment yield of ungauged drainage basins in arid and semi-arid zones. The method evaluates basin sediment yield based on a list of factors that control detaching of detritus from bedrocks and transporting it down the hill slopes and through the drainage system. Four drainage basins: Al Ahsabah, Qanunah, Yabah, and Hali located on the Saudi Arabia Red Sea coast were selected to apply and test the new approach. The Automated Geospatial Watershed Assessment Tool (AGWA) was used to evaluate the new approach. The study found that the new method has a reasonable capability to qualitatively evaluate the sedimentary yield of ungauged drainage basins.

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Modeling and mapping of water erosion in northeastern Algeria using a seasonal multicriteria approach

Cited by 9 publications

References 17 publications

Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria

Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria

Direct Versus Indirect Tree Ring Reconstruction of Annual Discharge of Chemora River, Algeria

New approach for qualitative sediment yield assessment of ungauged drainage basins

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