M. OMAR Djoukbala

MCA

Directory of teachers

Department

Department of HYDRAULIC

Research Interests

Specialized in Department of HYDRAULIC. Focused on academic and scientific development.

Contact Info

University of M'Sila, Algeria

Email : omar.djoukbala@univ-msila.dz

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Recent Publications

2025-09-18

Soil erosion projection based on the CMIP6 multi-model ensemble, case study of Wadi El-Ham watershed, northern Algeria

This study uses the Revised Universal Soil Loss Equation (RUSLE) to estimate both historical (1990–2011) and future
(2026–2050) soil-loss rates in the Wadi El-Ham watershed in northern Algeria under three CMIP6 climate scenarios
(SSP1-2.6, SSP2-4.5, SSP5-8.5). Monthly precipitation (1975–2011) measured from eight meteorological stations and
CMIP6 multi-model ensemble data from the IPCC AR6 Interactive Atlas were used to derive rainfall erosivity, with the
delta method applied to correct bias for improve the quality of the results. Spatial inputs for soil erodibility, topography
and land cover were derived from FAO soil maps, a 30 m DEM, and Landsat imagery ; respectively. The obtained results
show a historical specific soil loss of 5.18 t ha⁻¹ yr⁻¹, predominantly concentrated on steep northern slopes, while more
than half of the watershed experienced low erosion rates. The specific soil loss projected for the period 2026–2050 is
expected to decrease by 24–29% compared to the historical period, with little change across scenarios (3.72–3.92 t ha/yr)
and a slight contraction is expected in the most vulnerable areas, with continued vulnerability in the northern plateaus.
The results of this study can guide erosion mitigation measures by identifying the most vulnerable areas. Furthermore, by
highlight the key sources of uncertainty and challenges in modeling future erosion, they provide researchers with a basis
for testing innovative approaches to address these limitations.
Citation

M. OMAR Djoukbala, Zekai Şen, , (2025-09-18), "Soil erosion projection based on the CMIP6 multi-model ensemble, case study of Wadi El-Ham watershed, northern Algeria", [national] Modeling Earth Systems and Environment , springer

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2024-12-31

A geospatial approach-based assessment of soil erosion impacts on the dams silting in the semi-arid region

Soil erosion significantly impacts dam functionality by leading to reservoir siltation, reducing capacity, and heightening flood risks. This study aims to map soil erosion within a Geographic Information Systems (GIS) framework to estimate the siltation of the K'sob dam and compare these estimates with bathymetric observations. Focused on one of the Hodna basin’s sub-basins, the K'sob watershed (1477 km2), the assessment utilizes the Revised Universal Soil Loss Equation (RUSLE) integrated with GIS and remote sensing data to predict the spatial distribution of soil erosion. Remote sensing data were pivotal in updating land cover parameters critical for RUSLE, enhancing the precision of our erosion predictions. Our results indicate an average annual soil erosion rate of 7.83 t/ha, with variations ranging from 0 to 224 t/ha/year. With a typical relative error of about 13% in predictions, these figures confirm the robustness of our methodology. These insights are crucial for crafting mitigation strategies in areas facing high to extreme soil loss and will assist governmental agencies in prioritizing actions and formulating effective soil erosion management policies. Future studies should explore the integration of real-time data and advanced modeling techniques to further refine these predictions and expand their applicability in similar environmental assessments.
Citation

M. OMAR Djoukbala, (2024-12-31), "A geospatial approach-based assessment of soil erosion impacts on the dams silting in the semi-arid region", [national] Geomatics, Natural Hazards and Risk , Taylor & Francis

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2024-10-13

Monthly precipitation gaps filling using long short-term memory deep neural networks: Case of Soummam basin.

Monthly precipitation gaps filling using long short-term memory deep neural networks: Case of Soummam basin.
Citation

M. OMAR Djoukbala, (2024-10-13), "Monthly precipitation gaps filling using long short-term memory deep neural networks: Case of Soummam basin.", [national] 1er Séminaire National: Eau, Environnement et Energies renouvelables , M’Sila

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Estimation des apports liquides et solides du bassin versant d’oued El Maleh, Nord-Ouest Algérien

Estimation des apports liquides et solides du bassin versant d’oued El Maleh, Nord-Ouest Algérien
Citation

M. OMAR Djoukbala, (2024-10-13), "Estimation des apports liquides et solides du bassin versant d’oued El Maleh, Nord-Ouest Algérien", [national] 1er Séminaire National: Eau, Environnement et Energies renouvelables , M’Sila

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2024-02-02

Comparative study of different discrete wavelet based neural network models for long term drought forecasting

Recently, coupled Wavelet transform and Neural Networks models (WANN) were extensively used in hydrological drought forecasting, which is an important task in drought risk management. Wavelet transforms make forecasting model more accurate, by extracting information from several levels of resolution. The selection of an adequate mother wavelet and optimum decomposition level play an important role for successful implementation of wavelet neural network based hydrologic forecasting models.

The main objective of this research is to look into the effects of various discrete wavelet families and the level of decomposition on the performance of WANN drought forecasting models that are developed for forecast drought in the Algerois catchment for long lead time. The Standard Precipitation Index (SPI) is used as a drought measuring parameter at three-, six- and twelve-month scales. Suggested WANN models are tested using 39 discrete mother wavelets derived from five families including Haar, Daubechies, Symlets, Coiflets and the discrete approximation of Meyer. Drought is forecasted by the best model for various lead times varying from 1-month lead time to the maximum forecast lead time. The obtained results were evaluated using three performance criteria (NSE, RMSE and MAE).

The results show that WANN models with discrete approximation of Meyer have the best forecast performance. The maximum forecast lead times are 36-month for SPI-12, 18-month for SPI-6 and 7- month for the SPI-3. Drought forecasting for long lead times have significant values in drought risk and water resources management.
Citation

M. OMAR Djoukbala, (2024-02-02), "Comparative study of different discrete wavelet based neural network models for long term drought forecasting", [national] Water Resources Management , Springer Netherlands

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2023-03-22

Application of SIG, remote sensing, and PAP/CAR Directives to Modeling and Cartography of water erosion risks. Case of the Tlemcen Watershed, Algeria

In order to effectively manage and design wetlands, it is crucial to model and map
potential risks associated with soil hydrological erosion. By consedering the guidelines of the
Programmes d'Actions Prioritaires/ Centre d'Activité Régionale (PAP/CAR), this work aims
to develop the vulnerability map of of soil erosion in the Tlemcen In Algerian North west.
This method is based on the use of several dat (Digital Elevation Model (DEM), satellite
images) using SIG and remote sensing to identify the main causal factors (slope, lithology,
soil occupation, density of the vegetative cover, and forms and extent of erosion present on
the ground).
The analysis of natural data (the predictive phase) by the PAP/CAR method made it
possible to identify five main states of erosion for the two periods (1995 and 2017): very high
erosion (14.06% and 21.82%), 33, 41% and 35.13% for high erosion, significant erosion
class represents 33.31% and 32.74% respectively, 13.21% and 7.58 for low erosion class, 5.98
% and 2.71% for the very low class.
The maps produced during this phase show that the degree of erosion intensity is
proportional to the magnitude of the contributing factors, especially in areas where many
contributing factors are present (the steep slope, the aggressiveness of the rains and the lack of
vegetation cover).
Citation

M. OMAR Djoukbala, (2023-03-22), "Application of SIG, remote sensing, and PAP/CAR Directives to Modeling and Cartography of water erosion risks. Case of the Tlemcen Watershed, Algeria", [international] Atlas Georesources International Congress 4Th AGIR , Tunisie

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Application of machine learning within Google Earth Engine for the analysis and monitoring of forest tires in the Tlemcen region.

The areas of northern Algeria that are most affected by forest fires are the
mountainous and forested areas. The "matoralization" of this area of the country's forestland
is mostly caused by the premature recurrence of fires, which have not given the necessary
time for the restoration and cicatrization of the vegetation after the fire. The Tlemcen region is
distinguished by a wide variety of escarpment-covered areas that are vulnerable to
gravitational disasters, particularly in high and middle mountains. The park national of
Tlemcen was chosen for this study, whose main goal is to produce a burn intensity map for
evaluating the areas affected by fires in the park national of Tlemcen between 1991 and 2017.
The best indicators are still the Normalized Difference Vegetation Index (NDVI) and
the Normalized Combustion Ratio (NBR). The methodological approach depends on the use
of a script (java-script) injected into the Google Earth Engine platform. In order to achieve
this, the normalized burn ratio calculation (dNBR) was used because it was created to identify
burned areas and determine the gravitational force of fires. The results show that low gravity
class of brule has dominated for all years, but 2015 was notable for an incendiary event that
resulted in calcination of 4,5 ha and strong gravitation of 143 ha.
The dNBR calculation made it possible to map the areas that were severely affected by
the fires, particularly during the earlier period when the landscape underwent notable changes.
Classes can be more effectively seated and contextualized with Mediterranean settings.
Citation

M. OMAR Djoukbala, (2023-03-22), "Application of machine learning within Google Earth Engine for the analysis and monitoring of forest tires in the Tlemcen region.", [international] Atlas Georesources International Congress 4Th AGIR , Tunisie

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Influences of the land cover on the rate of siltation and the availability of water in the K’sob dam, Algeria

Algeria ranks among the countries most affected in the world by the degradation of soil
with an average annual erosion varying between 2000 and 4000 km2 (Touaibia et al, 1999).
Northern Algeria remains subject to strong human pressures which have led to severe
degradation of plant cover and soils. It is estimated that more than 20 million hectares of land
are affected by erosion, particularly in the areas where more than 90% of the hydraulic
structures are located, where about 20 million inhabitants live (Mazour, 1992). Mountain
areas remain the most affected by erosion.
This study describes the RUSLE model (Revised Universal Soil Loss Equation), a
revised version of the classic USLE, which takes into account variations in rainfall erosivity,
topographic factor, soil erodibility and land cover, to provide more accurate estimates of
potential soil erosion. With the aim of modeling with more precision the potential rate of soil
erosion at the scale of the Ksob watershed (1460 km²), we carried out a spatio-temporal
monitoring of the erosivity of rainfall and the dynamics vegetation for two periods (2000-
2004) and (2004-2008). In particular, we used time series of NDVI, derived from multitemporal satellite data to calculate the land cover factor C. By incorporating the C-factor
estimated in this way into the RUSLE model, we have provided detailed and reliable
estimates of potential soil loss and long-term seasonal variations in land cover. The results
show that the average specific degradation in the Ksob watershed is estimated at 8.97
t/ha/year for the first period (2000-2004) and 1.45 t/ha/year for the second period (2004-
2008). They also point out that the amount of sediment delivered to the reservoir of the dam is
considered high compared to the observed bathymetric values of 9.32 t/ha/year and 3.4
t/ha/year respectively for the first and the second period.
Citation

M. OMAR Djoukbala, (2023-03-22), "Influences of the land cover on the rate of siltation and the availability of water in the K’sob dam, Algeria", [international] Atlas Georesources International Congress 4Th AGIR , Tunisie

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2022-10-19

Construction of Intensity-Duration-Frequency (IDF) curves for the Wadi K'sob watershed (NorthEast Algeria) using hourly rainfall data

Construction of Intensity-Duration-Frequency (IDF) curves for the Wadi K'sob watershed (NorthEast Algeria) using hourly rainfall data
Citation

M. OMAR Djoukbala, (2022-10-19), "Construction of Intensity-Duration-Frequency (IDF) curves for the Wadi K'sob watershed (NorthEast Algeria) using hourly rainfall data", [national] 1er Séminaire National sur L’Eau, Climat & Gestion des Ressources en Eau , Université Mohamed Chérif MESSAADIA - Souk-Ahras

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2022-10-16

Etude de la Qualité des eaux souterraines du bassin versant Oued El Ham, Cas de la zone de M’sila

Les ressources en eau dans les zones arides en Algérie sont sujettes à de fortes pressions menaçant sérieusement leur durabilité. Les eaux souterraines font partie intégrante du cycle de l’eau.
Citation

M. OMAR Djoukbala, (2022-10-16), "Etude de la Qualité des eaux souterraines du bassin versant Oued El Ham, Cas de la zone de M’sila", [national] 1er Séminaire National sur la Protection et la Préservation des Ressources en Eau , l’université Saad Dahlab-BLIDA1

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Morphometric analysis of K'sob watershed (North-East Algeria) using remote sensing and GIS techniques

On earth, watersheds and sub-watersheds are ideal hydrological units for water conservation planning. Watershed planning remains fundamentally for land and water conservation, to address different concerns. In this perspective, the use of GIS techniques and remote sensing is useful for the analysis of morphometric properties of surface water catchments. The present work focuses on the morphometric analysis of Wadi K'sob watershed (1480 km²) located in northeast Algeria. The hydrographic network was extracted and the basin was delimited from a DEM using an Open-Source software. The following parameters were calculated: morphometric characteristics, slope indices and hydrographic network characteristics. The results show that Wadi K'sob watershed is in a mature state, has an elongated shape, a strong relief, the hydrographic network has an average hierarchy, a formation in its entirety permeable as well as a time of concentration of low runoff. These characteristics allow time for surface water to infiltrate. The low drainage and hydrographic densities indicate that the study basin is an area of permeable bedrock, medium vegetation cover and high relief.
Citation

M. OMAR Djoukbala, (2022-10-16), "Morphometric analysis of K'sob watershed (North-East Algeria) using remote sensing and GIS techniques", [national] 1er Séminaire National sur la Protection et la Préservation des Ressources en Eau , l’université Saad Dahlab-BLIDA1

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Filling gaps in monthly Precipitation Data Using Long Short-Term Memory Deep Neural Networks: case of Hodna basin Hodna basin

Djerbouai Salim1, Ferhati Ahmed2, Djoukbala Omar3, Hasbaia Mahmoud4 University of M'sila salim. djerbouai@ univ-msila. dz University of M'sila ahmed. ferhati@ univ-msila. dz University of Sidi Bel Abbes omar. djoukbala@ gmail. com University of M'sila mahmoud. hasbaia@ univ-msila. dz Abstract: Due to the spatiotemporal variability of precipitation and the complexity of physical processes involved, missing precipitation data estimation remains as a significant problem. Algeria, like other countries in the world, is affected by this problem. In the present paper, Long Short-Term Memory (LSTM) deep neural Networks model is tested to estimate missing monthly precipitation data. The application is presented for the K’sob basin, Algeria. In the present paper, the optimal architecture of LSTM model is adjusted by trial-and-error-procedure. The LSTM model is compared with the most widely used classical methods including inverse distance weighting method (IDWM) and the coefficient of correlation weighting method (CCWM). Finally, it is concluded that the LSTM model was performed better than the other methods.
Citation

M. OMAR Djoukbala, (2022-10-16), "Filling gaps in monthly Precipitation Data Using Long Short-Term Memory Deep Neural Networks: case of Hodna basin Hodna basin", [national] 1er Séminaire National sur la Protection et la Préservation des Ressources en Eau , l’université Saad Dahlab-BLIDA1

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2022-03-01

Suspended sedimentary dynamics under Mediterranean semi-arid environment of Wadi El Maleh watershed, Algeria

Soil degradation due to erosion by water is a serious environmental problem for the integrated management of basins, affecting the soil and water resources in Algerian region. Pluvial flood has been increasingly understood as a major threat that has presented a significant risk for many watersheds worldwide, estimation of runoff and sediment yield is primarily required for watershed development planning involving soil and water conservation measures, considering runoff is responsible for sediment detachment and their transport during the erosion processes. In this context, the phenomenon reaches spectacular values in many Algerian watersheds; in this case, it is very severe in flood period, many models have been developed and their application has been spread. In this study, water flow discharge and suspended sediment concentration have been modelled using sediment rating curve approach, this model is the large discussed model; it is the best significant equation for the majority of Algerian basins, this equation which has a power law form (i.e. C = aQb, where a and b are fitted parameters), explains, more than 72% for the whole floods observed during 17 years in Wadi El Maleh watershed, the flood contribution in annual suspended yield is variable; it can reach more than 92%, which is the case of flood; January 19, 1985, while, at inter-annual scale, the percentage is 24% and 43% in total water and suspended sediment yields, respectively; for all studied floods, a good logarithmic correlation between sediment rating curve parameters is observed, this outcome can help to extrapolate this model to other events.
Citation

M. OMAR Djoukbala, (2022-03-01), "Suspended sedimentary dynamics under Mediterranean semi-arid environment of Wadi El Maleh watershed, Algeria", [national] Modeling Earth Systems and Environment , Springer Netherlands

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2022-01-01

Water Erosion and Sediment Transport in an Ungauged Semiarid Area: The Case of Hodna Basin in Algeria

This study aims to estimate the eroded and transported sediment yields from the The Hodna basin (26,000 km2) situated in central Algeria by two approaches. In the first model, the data of the gauged subbasins are extrapolated to the ungauged areas based on the homogeneity of factors that influence the water erosion-sediment transport process. In this approach, the specific eroded and transported sediment yield in the Hodna basin is estimated to be 425 t/km2/yr. In an alternative approach, the eroded yield is estimated by mapping erosion using the (RUSLE) in a GIS environment. The obtained results show a high eroded sediment yield of approximately 610 t/km2/yr.
The observed difference between the results of the two approaches can be explained by the amount of sediment that is eroded but is not transported by runoff. These two methods show high eroded and transported sediment yield values in the Hodna basin region; these high yields may seriously threaten the central flat zone with progressive deposition.
Citation

M. OMAR Djoukbala, (2022-01-01), "Water Erosion and Sediment Transport in an Ungauged Semiarid Area: The Case of Hodna Basin in Algeria", [national] Wadi Flash Floods: Challenges and Advanced Approaches for Disaster Risk Reduction , Springer Singapore

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2021-12-01

Contribution of satellite-based precipitation in hydrological rainfall–runoff modeling: Case study of the Hammam Boughrara Region in Algeria

Hydrological models are viewed as powerful tools that have a major importance for managing water resources and predicting flows. It should be specified that the meteorological parameter rainfall is the main input in these models. In the current study, data from only one rainfall station are available over the analysis domain, which cannot represent the entire Hammam Boughrara watershed of Algeria. The precipitation data remotely detected by the tropical rainfall measuring mission (TRMM) provide good spatial coverage in the watershed and can be used to fill in the missing data. The use of raw TRMM data gives poor results from the simulated flow rates with a Nash–Sutcliffe efficiency NSE equal to 0.34 for the validation period that ranges from year 2000 to 2005; this is mainly due to uncertainties in the TRMM data. For this reason, it was deemed necessary to carry out a performance test of the model. The results obtained give an unsatisfactory percent bias (PBIAS) of − 46.24%, which suggests the need to perform a correction to decrease the PBIAS of satellite precipitation. For this, two methods were used: the linear regression method and the multiplicative method. These two techniques can only be applied if there is at least one rainfall measurement station available in the watershed. The obtained results are very satisfactory since the PBIAS reaches − 0.62% for the linear regression method and − 11.58% for the multiplicative method. In addition, the use of corrected TRMMs gives also very good results with a Nash–Sutcliffe efficiency that ranges from 0.74 to 0.88 for both validation and calibration periods. Overall, the current study is supportive to estimate the satellite-based rainfall, one of the very sensitive to measure the meteorological parameter, in northwestern Algeria.
Citation

M. OMAR Djoukbala, (2021-12-01), "Contribution of satellite-based precipitation in hydrological rainfall–runoff modeling: Case study of the Hammam Boughrara Region in Algeria", [national] Earth Systems and Environment , Springer International Publishing

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2020-12-01

Development of a minimalist conceptual numerical model for flood forecasting and management under GIS environment

The floods that Algeria has experienced in recent years are among the most significant natural disasters recorded by the country. These disasters, whose amplitude and frequency have tended to become increasingly irregular in space and time, in the current context of global climate change, encourage us to improve our flood management and forecasting strategies, notably through the re-evaluation of protection structure capacities, designed on the basis of hydrological data analyzed by statistical adjustment of past rainfall hazards. The objective of this study is to develop a minimalist conceptual numerical model for flood forecasting and management under GIS environment for the north-east region of Algeria. This model was developed by analyzing hydrographic data that can be adapted to climate data collected in real time, to predict short-term flood hydrographs in all segments of the hydrographic network, based on the Sokolovsky model for construction of synthetic hydrographs, combined with the Horton architecture for basin discretization. We obtained accuracy on past rainfall hazard simulations around 65.2% for peak flow amplitudes and 88.3% for surface runoff base times. This low-cost simple model opens the way to more possibilities in flood management, and can be improved through better spatialization and calibration with more field data.
Citation

M. OMAR Djoukbala, (2020-12-01), "Development of a minimalist conceptual numerical model for flood forecasting and management under GIS environment", [national] Journal of Water and Climate Change , IWA Publishing

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2019-06-01

Comparison of the erosion prediction models from USLE, MUSLE and RUSLE in a Mediterranean watershed, case of Wadi Gazouana (NW of Algeria)

Water erosion is one of the most serious problems of soil degradation in the world, the north of Africa region is particularly exposed to this phenomenon. In fact, the phenomenon gets worse with the climate changes and the adverse anthropogenic environmental interventions. In recent decades, the estimation of soil erosion using empirical models has been a promising research topic. Nevertheless, their application over a large and ungauged areas remains a real challenge due to the availability and quality of the required data. Using the GIS environment, this study aims to estimate and compare the water erosion rates by the three models of Universal Soil Loss Equation (USLE), Modified Universal Soil Loss Equation (MUSLE) and Revised Universal Soil Loss Equation (RUSLE) in Wadi Gazouana North-West of Algeria. The estimated specific erosion in the entire wadi Ghazouana watershed surface is 9.65, (t/ha/year), 9.90 (t/ha/year) and 11.33 (t/ha/year) by USLE, RUSLE and MUSLE models, respectively. We can also conclude that USLE, RUSLE and MUSLE soil erosion models produced relatively similar results, however, the MUSLE model showed a higher spatial dispersion of the erosion risk compared to the others. The rain factor in this model was more effective; which explain its higher erosion rate.
Citation

M. OMAR Djoukbala, (2019-06-01), "Comparison of the erosion prediction models from USLE, MUSLE and RUSLE in a Mediterranean watershed, case of Wadi Gazouana (NW of Algeria)", [national] Modeling Earth Systems and Environment , Springer International Publishing

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2019-02-01

Analysis of the suspended sediment transport estimation at different time scales in Mediterranean watershed, case of Wadi El Maleh (North-West of Algeria)

The present paper aims to estimate and analysis the variability of the suspended sediment transport in Wadi El Maleh watershed at different time scales. The used sets data consist of the measured instantaneous water discharge and suspended sediment concentration, they are recorded in the gauging station situated at the outlet of the watershed during 17 years.

The results show that the sediment rating curve explains more 74% of the variance for the whole data (pairs Q - C). The estimated specific soil erosion is about 294,29 t/km2/year. The analysis of the evolution of concentration and the quantification of sediment yield have shown that the sediment supply occurs mainly during extreme events, one flood in January 1988 generated more than 92% of total sediment yield rate. In wet season, we recorded 78% of the total soil loss rate, the most part of sedimentary dynamics for Wadi El Maleh is observed in winter with 45,41%. The suspended sediment transport in this season remains the highest, significantly exceeding the other seasons. These values are very close to that observed in other regions with similar hydrological regimes.
Citation

M. OMAR Djoukbala, (2019-02-01), "Analysis of the suspended sediment transport estimation at different time scales in Mediterranean watershed, case of Wadi El Maleh (North-West of Algeria)", [national] Journal of Mediterranean Earth Sciences , Sapienza University of Rome

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2018-12-01

Prediction of water erosion sensitive areas in Mediterranean watershed, a case study of Wadi El Maleh in north-west of Algeria

Water erosion phenomenon has significant effects on productivity and environment in Algeria. This contribution presents interesting study on soil erosion risk of Wadi El Maleh watershed using RUSLE model based on original data. The erosion process results from effects of several factors, including rainfall erosivity, soil erodibility, land slope length, land use, and conservation practices. Soil erosion map in the entire watershed area is obtained by the superposition of the generated maps of each previous factor. The obtained results showed that the mean soil loss rate is about 9 t/ha/year in the whole watershed area. These results are comparable to those reported in watersheds having the same hydrologic characteristic. Based on 2017 couples of (Q-C) recorded over 17 years (from 1981 to 1998), we have estimated the suspended sediment transport of Wadi El Maleh to be annually about 2.94 t/ha/year which represents just 32.6% of the eroded rate, i.e., two thirds of the eroded sediment are deposited, especially in the plains. This high values of deposited sediments is mainly due to relatively moderate slopes and dense vegetation.
Citation

M. OMAR Djoukbala, (2018-12-01), "Prediction of water erosion sensitive areas in Mediterranean watershed, a case study of Wadi El Maleh in north-west of Algeria", [national] Environmental monitoring and assessment , Springer International Publishing

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2018-05-01

Estimating of water erosion in semiarid regions using RUSLE equation under GIS environment: Case of Wadi El-Ham watershed in Hodna region, Algeria

Water erosion is one of the main forms of land degradation in Algeria, with a serious repercussion on agricultural productivity. The purpose of this study is to estimate the soil loss of Wadi El-Ham watershed in the center of Algeria, this study aims also to evaluate the effectiveness and reliability of the use of the Revised Universal Soil Loss Equation (RUSLE) under a Geographic Information System in this field. The RUSLE model involves the main factors of erosion phenomena, namely, rain aggressiveness, soil erodibility, topographic factor, land cover index and the anti-erosive practices factor. Using this approach, the specific erosion in Wadi El-Ham watershed is estimated as 5.7 (t/ha/yr) in the entire watershed area. This result is compared to the measured suspended sediment at the Rocade-Sud gauging station situated outlet the watershed. These data consist of 1293 instantaneous measures of the water discharge and the suspended sediment concentration recorded during 21 years. Through this comparison, the used approach of RUSLE under GIS estimates the soil loss in Wadi El-Ham in Hodna region of Algeria with an error of 7.5%. Consequently, the results obtained in cartographic format make it possible to target the areas requiring priority action for a larger scale analysis to find appropriate solutions to combat erosion and to protect the natural environment.
Citation

M. OMAR Djoukbala, (2018-05-01), "Estimating of water erosion in semiarid regions using RUSLE equation under GIS environment: Case of Wadi El-Ham watershed in Hodna region, Algeria", [national] Environmental earth sciences , Springer Berlin Heidelberg

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