Spatial assessment of water erosion hazard in Chiffa wadi watershed and along the first section of the Algerian North-South highway using remote sensing data, RUSLE, and GIS techniques

Goumrasa, Abdeldjalil; Guendouz, Mostefa; Guettouche, Mohamed Saïd; Akziz, Djamal; Bouguerra, Hamza

doi:10.1007/s12517-021-08377-5

Cited by 9 publications

(3 citation statements)

References 61 publications

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“…In the research process, it is essential to consider the strengths and weaknesses of these models. For example, RUSLE can predict sediment yield and categorize erosion risk, but it may be more suitable for agricultural land (Ghosal & Das Bhattacharya, 2020; Goumrasa et al, 2021). SEDMODL and STJ‐EROS may underestimate or overestimate total sediment yield during simulation (Naghdi et al, 2017; Parsakhoo et al, 2014; Ramos‐Scharron & MacDonald, 2007).…”

Section: Discussionmentioning

confidence: 99%

Soil erosion associated with roads—A global review and statistical analysis

Yu,

Zhao,

Liu

et al. 2024

Land Degrad Dev

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Global soil degradation due to road erosion is an escalating concern. This study employed bibliometric analysis using the Science Citation Index‐Expanded dataset to gain insights into research trends in road erosion. It covered the years 2000–2021, revealing a steady increase in annual research publications, particularly after 2018. The United States and Catena was the leading contributor and the most popular journal, respectively. The primary research areas identified by keywords and statistical analysis are the forests and arid regions in the temperate climate zone (including temperate continental climate and temperate monsoon climate) and the tropical climate zone (including tropical rainforest climate and tropical monsoon climate). Since 2012, a noticeable shift from traditional methods to emerging technologies like isotope tracing (e.g., 137Cs, 210Pb) and machine learning (e.g., random forest) was observed, indicating evolving in methodologies with changes in research scales. The study emphasized the inevitability of road erosion, highlighting the crucial role of effective road management and restoration. It proposed integrating best management practices and ecosystem restoration strategies into watershed management, combined with advanced technological approaches, to foster sustainable watershed development.

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Section: Discussionmentioning

confidence: 99%

Soil erosion associated with roads—A global review and statistical analysis

Yu,

Zhao,

Liu

et al. 2024

Land Degrad Dev

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“…(Arekhi et al, 2012;Bhattarai & Dutta, 2007). Many researchers throughout the globe have utilised Wischmer and Smith's (1971) proposed equation or improved it to estimate soil erosion in watersheds or river basins (Goumrasa et al, 2021). The equation comprises many fundamental elements: slope length, rainfall intensity, soil erodibility, land use & land cover (LULC).…”

Section: Introductionmentioning

confidence: 99%

Soil Loss and Reservoir sedimentation assessment of Kaddam watershed using Geographical Information systems and Remote sensing Techniques

Kodimela

Sivaprakasam

Srid³

2023

Preprint

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Soil loss is a significant threat in both onsite and offsite issues of worldwide, and more attention is required to compensate for the soil loss, loss of fertility, nutrients, valuable minerals, and silt deposition in reservoirs. The geographical distribution of soil loss was evaluated using the Universal Soil Loss Equation (USLE) model, and the Kaddam watershed's reservoir sedimentation was calculated using a trapezoidal equation. Rainfall erosivity (R- factor) minimum and maximum values in Kaddam and Indervally rain gauge stations were 416.25 and 492.93 MJ.mm/ha.h.yr. Soil erodability factor (K-Factor) is 0.3 t ha h/ha/mj/mm for clayey soils, and slope length found as up to 380 (dimension less) and crop and management factors considered on local crops and agricultural practices in Kaddam watershed. According to the USLE equation, the maximum spatial distribution of soil depletion is 60 tonnes/hectare/year, whereas the sediment yield assessment through the reservoir is 57 t/ha/year. Many researchers used methods to assess the soil loss or yield separately but not integrated in single environment. To fulfil the gap, chosen Kaddam watershed, computed two methods separately and simulations compared with observed hydrographic survey shown satisfactorily. Hence, predication and method of the present study can adopt other reservoirs.

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“…In addition to their irregular ow and sometimes drought, the quality of the Chiffa Wadi is deteriorated by various forms of pollution. Recently, the implementation of Algerian North-South highway (the rst section "Medea-Chiffa"), had a direct impact on water quality and planktonic organisms (Goumrasa et al 2021). Also, the release of wastewater from urbanized areas as well as sediment discharge from cultivated land in wadi banks impacted by soil erosion affect the ecosystem function of Chiffa Wadi (Hamaidi-Chergui et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Spatial and temporal variations of zooplankton assemblage in Chiffa Wadi (North Algeria)

Hamil

Arab

Baha

et al. 2023

Environ Sci Pollut Res

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The spatial and temporal variation in the distribution, abundance, and assemblage structure of zooplankton were examined in the Chiffa Wadi River, north central Algeria. Samples were taken seasonally from autumn 2020 to summer 2022. Nine physical and chemical variables were recorded, and their relationship with the density of 39 zooplankton species was established using Canonical Correspondence Analysis. In order to study the structure of the zooplankton, Shannon-Wiener diversity indices (H′), Margalef richness index (Dmg), Pielou evenness (E), and abundance were calculated. During the analysis, rotifera was the dominant group in the zooplankton community, represented by 27 taxa, followed by Cladocera (9 taxa), and Copepoda (3 taxa). The diversity index indicated the higher richness, abundance, and evenness of zooplankton at a eutrophic site (S2) compared with other sites. The canonical correspondence analysis (CCA) showed that the structure of zooplankton is in uenced by local environmental factors. The present study demonstrates that anthropogenic activities including urban discharge and the construction of Algeria's Medea-Chiffa highway, which increased the nutrient load in the aquatic system, disrupted water quality. However, the distribution and quantity of zooplankton were dramatically impacted by these changes in water quality.

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Spatial assessment of water erosion hazard in Chiffa wadi watershed and along the first section of the Algerian North-South highway using remote sensing data, RUSLE, and GIS techniques

Cited by 9 publications

References 61 publications

Soil erosion associated with roads—A global review and statistical analysis

Soil erosion associated with roads—A global review and statistical analysis

Soil Loss and Reservoir sedimentation assessment of Kaddam watershed using Geographical Information systems and Remote sensing Techniques

Spatial and temporal variations of zooplankton assemblage in Chiffa Wadi (North Algeria)

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