LARHYSS Journal

EISSN: 2602-7828
Périodicité: Trimestrielle
Taux d'acceptation: 79%
Temps moyen de réponse: 90 Jours
Temps moyen de publication après acceptation: 43 Jours

Année de création: 2002
Pays: Algérie
Institution: Université Mohamed Khider de Biskra
Facteur d'impact ASJP: 0.0450

Description

English Larhyss journal is an international peer-reviewed journal published by the research laboratory in subterranean and surface hydraulics since 2002. The scope of the Journal covers the fields in which the teams of the research laboratory in subterranean and surface hydraulics are active. Original research papers, short communications and critical reviews from all fields of science and engineering related to water are welcomed. Larhyss journal is devoted to the rapid publication of research in water engineering, acting as a link between the diverse research communities and practitioners in the field of hydraulics. The journal accepts manuscripts exclusively in English. Larhyss journal publishes articles on all aspects of hydraulics including hydrology, water and wastewater treatment, surface, and groundwater protection, flow in channels, and pipes, hydraulic modeling… Français LARHYSS journal est une revue scientifique internationale publiée par le laboratoire de recherche en hydraulique souterraine et de surface depuis 2002. La portée du Journal couvre les domaines dans lesquels les équipes du laboratoire de recherche en hydraulique souterraine et de surface sont actives. Des documents de recherche originaux, des communications brèves et d'analyses critiques de tous les domaines de la science et de l'ingénierie liées à l'eau sont les bienvenus. LARHYSS Journal est consacré à la publication rapide de la recherche en ingénierie de l'eau, agissant comme un lien entre les communautés de recherche diverses et praticiens dans le domaine de l'hydraulique. La revue accepte des manuscrits exclusivement en anglais LARHYSS journal publie des articles sur tous les aspects de l'hydraulique, y compris l'hydrologie, le traitement des eaux, la protection des eaux souterraines et de surface, ecoulements dans les canaux et conduites, modelisation hydraulique...

Volumes

Numéros

687

Articles

CONTRIBUTION OF ION EXCHANGE PROCESSES IN THE ELIMINATION OF NITRATES CONTAINED IN THE WATERS OF THE ABIDJAN AQUIFER (SOUTH -COTE D’IVOIRE)

Aw Sadat, Savadogo Ibrahim, Oga Marie-solange, Coulibaly Ramatou,
2024-07-18

Résumé: Nitrogen compounds, including nitrates, are threatening the quality of water in the Continental Terminal aquifer in the Abidjan district. Consumption of nitrate-rich water (over 50 mg/l) can have harmful effects on human health. This study was prompted by the observation that nitrate levels were high in the water from certain boreholes in the Adjamé Nord catchment area, with the aim of reducing nitrate levels in drinking water. To achieve this objective, the water from a borehole was filtered on a weakly basic anionic resin pilot plant to reduce the nitrate content in the drinking water. The variation in the flow rate of raw water passing through the resins was studied to see the effect of the flow rate on nitrate removal. Three flow rates were tested, taking into account the treatment capacity of the pilot plant (200 l/h ; 300 l/h and 800 l/h). The results of the elimination tests show that the resin is effective in denitrating the water. The duration of the cycle varies according to the flow rate (78h for 200l/h ; 46h for 300l/h and 14h for 800l/h). The results of the elimination tests show that the resin is effective in denitrating the water. The duration of the cycle varies according to the flow rate (78h for 200l/h ; 46h for 300l/h and 14h for 800l/h). At the start of each cycle, the raw water nitrate removal rate reaches 95% and decreases over time. Whatever the flow rate of the raw water used, nitrate removal was satisfactory (95.68% for the 200l/h cycle, 90.81% for the 300l/h cycle and 91.08% for the 800l/h cycle).

Mots clés: Denitration ; Anionic resin ; Ion exchange ; Groundwater ; Abidjan

EXPERIMENTAL ANALYSIS AND PARAMETRIC INVESTIGATION OF WATER ELECTROLYSIS PROCESS FOR HYDROGEN GAS PRODUCTION

Ambaliya Sanjay, Dhiman Vijay, Mistry Manish,
2024-04-28

Résumé: Vehicles and small-scale power generation systems rely on petroleum-based fuels, known as hydrocarbons (HC). When these hydrocarbons burn, they release gases such as CO2, CO, HC, and NOx, which can have adverse effects on both the environment and human health. Hydrogen gas, generated through water electrolysis, offers a promising alternative to hydrocarbon-derived fuels. This article delves into an experimental investigation focused on H2 gas production using water electrolysis. The primary objective is to explore the influence of alkaline electrolytic cell operating parameters on hydrogen gas production, cell efficiency, and power consumption. Stainless steel SS316 serves as the electrode material, while potassium hydroxide (KOH) acts as the aqueous electrolyte solution. Operating parameters such as electrolyte concentration (m), electrolyte temperature (°C), and distance between electrodes (mm) are carefully chosen to analyse their impact on reducing power usage. The Taguchi approach, facilitated by MINITAB software, is employed for experiment design selection, with the Signal-to-Noise (S/N) ratio guiding the determination of the optimal operating parameters. Through ANOVA (analysis of variance), the individual contribution of each operating parameter to power utilization is assessed. A regression equation is formulated to predict hydrogen production rate, cell efficiency, and power consumption. Experimental data is compared with predicted values to validate the regression equation's accuracy.

Mots clés: Water Electrolysis ; Hydrogen Production ; MINITAB ; ANOVA

HYDROLOGIC EVALUATION OF MONTHLY AND ANNUAL GROUNDWATER RECHARGE DYNAMICS FOR A SUSTAINABLE GROUNDWATER RESOURCES MANAGEMENT IN QUETTA CITY, PAKISTAN

Qureshi Haris Uddin, Abbas Ibrahim, Shah Syed Muzzamil Hussain, Teo Fang Yenn,
2024-07-06

Résumé: Quetta is an important urban center and capital of the Balochistan province of Pakistan. Due to its arid climate and absence of reliable surface water resources, the city heavily relies on groundwater, where rainfall is the prominent source of recharge. As per the past studies, due to increased population and unregulated extraction, groundwater level in Quetta is declining at a rate of 1.5-5 m/year, which calls for a detailed assessment of its recharge regime for a sustainable resource protection. Therefore, the monthly and annual groundwater recharge in Quetta from rainfall was computed in this research using the water balance approach for the period 1990-2023. The analysis showed a significant reliance of groundwater recharge on the climate patterns, with the highest monthly recharge in January (21.6 mm) due to high rainfall and low ET, while lowest recharge was found in July (3.31 mm) due to low rainfall and high ET losses, with the mean annual total recharge as 108.6 mm. Further, the Recharge to Precipitation ratio estimated from the daily water balance showed that 15% of annual rainfall contributes to groundwater recharge in Quetta. By evaluating the daily water balance, the study comprehensively explained the monthly and annual groundwater recharge regime, along with the rainfall and ET patterns in Quetta. The outcomes of this research would essentially serve to formulate an effective policy and strategy to optimize the groundwater extraction in Quetta without encroaching the aquifer’s safe yield and to sustainably manage the available groundwater resources for the coming years.

Mots clés: Hydrogeology ; Groundwater recharge ; Water balance ; NRCS CN method ; SDG12

COMPARATIVE ANALYSIS OF GRADIENT BOOSTING MACHINES AND LONG SHORT-TERM MEMORY NETWORKS FOR STREAM FLOW FORECASTING

Shaikh Ayub, More Satish, Bhirud Yuvaraj, Shelar Vaibhav, Bagwan Khalid,
2024-08-07

Résumé: Stream flow forecasting is essential for effective water resource management and flood prediction, but it poses challenges due to the complex nature of hydrological systems. Traditional methods struggle to capture temporal dependencies and nonlinear relationships within the data, leading to inaccuracies in predictions. This study compares the accuracy of long short-term memory (LSTM) networks and gradient boosting machines (GBMs) in predicting stream flow in the Garudeshwar watershed of the Narmada River basin in central India. GBMs employ ensemble learning techniques, while LSTMs utilize recurrent neural network architectures to capture temporal dependencies. Across several datasets (training, validation, and testing), GBMs consistently beat LSTMs through thorough examination utilizing measures including MAE, RMSE, R², and RMSPE. GBMs demonstrate superior accuracy, precision, and reliability in modeling stream flow dynamics, showcasing their effectiveness in water resource management and flood prediction endeavors. The goal of the project is to improve methods for forecasting stream flow and support well-informed decision-making in efforts to manage water resources and prevent flooding.

Mots clés: Stream flow forecasting ; Water resource management ; Machine Learning

APPLICATION OF ELECTRICAL RESISTIVITY TOMOGRAPHY (ERT) FOR UNDERSTANDING BEDROCK ENVIRONMENTS AND IMAGING GROUNDWATER CONTAMINATION ZONE IN BURKINA FASO WEST AFRICAN SAHEL

Faye Moussa Diagne, Biaou Angelbert Chabi, Mounirou Lawani Adjadi, Doulkom Palingba Aimé Marie, Koita Mahamadou, Yacouba Hamma,
2024-09-03

Résumé: In Burkina Faso, the quality of groundwater is increasingly threatened by both anthropogenic and natural factors, posing a significant challenge for the country. This degradation is particularly concerning in rural areas, where the abandonment of boreholes is observed, and a failure rate of 40% for drilling operations has been noted, compromising the water access rate of 80% set for 2015, which has still not been achieved. Agriculture, livestock farming, mining, and industry are the primary activities influencing water quality in the study area. In the Sissili region, groundwater is often found in weathered layers and follows preferential pathways such as fractures. Therefore, the chemical composition of these waters is strongly related to the mineralogy of the parent rock and weathering processes, yet the structural complexity of aquifers remains poorly understood. The distance between a water point and the contamination source, as well as the depth of the superficial aquifer, are two crucial criteria for determining contamination. This study aims to map the aquifers and identify contaminated areas. To achieve this, a geoelectrical method was applied using 10 electrical panels around polluted boreholes, over distances ranging from 360 to 720 meters depending on the locations. Through a finite difference algorithm and least squares inversion, this technique allows for visualizing resistivity variations, revealing contaminated zones in our case at depths of 10 to 20 meters, primarily in the second geological layer. It is sensitive to influencing properties such as electrical conductivity and helps identify pockets of contaminated groundwater. In non-contaminated areas, the first layer appears to act as a filter. The results obtained provide a better understanding of basement aquifers, which is essential for more effective water resource management.

Mots clés: Geophysics ; Crystalline Basement ; Electrical Resistivity Tomography ; Groundwater Pollution

DYNAMIC WATERSHED MODELLING: HEC-HMS ANALYSIS OF A TROPICAL WATERSHED

Kherde Rajesh, Mehta Darshan, More Kiran, Sawant Priyadarshi,
2024-08-02

Résumé: The advancement of computational hydraulic simulations has reached an impressive zenith, markedly enhancing our comprehension of anthropogenic influences on fluvial dynamics and the intricacies of sustainable hydrological stewardship. The extensively utilized HEC-HMS model, a creation of the US Army Corps of Engineers, remains deficient in tailored calibration for Indian catchments. This scholarly inquiry sought to evaluate the applicability of HEC-HMS version 4.10 to the designated study area, employing three distinct calibration methodologies: the deficit and constant loss approach, the Soil Conservation Service Curve Number (SCS-CN) method, and the Green and Ampt infiltration model. The principal objective was to ascertain the optimal simulation technique aligning with the unique characteristics of the study catchment. A meticulous investigation within the Wardha River catchment encompassed an 18-year dataset, comprising daily precipitation and temperature records procured from the Indian Meteorological Department (IMD), captured at a refined spatial granularity of 0.25° × 0.25°. Additionally, daily potential evapotranspiration, computed via the Hargreaves Equation, was integrated. The dataset was further augmented by daily discharge data from the India Water Resources Information System, specifically from the Sirpur gauge station outlet, spanning the years 2001 to 2018, facilitating a profound hydrological analysis. GIS layers were integrated into the calibration process using HEC-HMS 4.10, enhancing the hydrological modeling and analysis. After the calibration phase (2001-2010), the model was evaluated with new data from 2011-2018 using metrics like RMSE, NSE, and R². The empirical results indicated that the most reliable flow simulations were obtained through the integration of the Soil Conservation Service Curve Number (SCS-CN) loss method with the SCS unit hydrograph approach, outperforming the Clark unit hydrograph and Snyder unit hydrograph methods. However, it is imperative to note that the utilization of the SCS-CN method as the loss mechanism did not yield satisfactory outcomes when combined with the Snyder unit hydrograph method. Conversely, the Deficit and Constant Loss method and the Green and Ampt infiltration model showed similar performance metrics, including NSE, with all three unit hydrograph methods. This uniformity underscores their robustness and reliability in generating consistent hydrological simulations within the specific context of the study.

Mots clés: HEC-HMS ; Rainfall runoff Modelling ; Clark unit Hydrograph ; Snyder unit Hydrograph ; SCS-CN Unit Hydrograph

OPTIMIZED OPERATION OF A MULTIPURPOSE RESERVOIR BY EVOLUTIONARY ALGORITHM FOR PANAM RESERVOIR PROJECT IN EASTERN GUJARAT, INDIA

Panchal S.l., Suryanarayana T.m.v.,
2024-10-20

Résumé: Water is life. Survival of lives with satisfying their water-based demands becomes a challenging task for water resources engineers in upcoming times. The only way to optimize potential solutions is to manage current water resources with greater attention, plan ahead and conserve them by using appropriate optimization strategies. Owing to the drawbacks of traditional optimization methods, an evolutionary algorithm-based approach inspired by nature is implemented to determine the operational strategies of challenging reservoir systems that exist in real life. Evolutionary Algorithm (EA) namely Genetic Algorithm (GA) has been developed with primary objective to establish operational strategies for Panam reservoir project, located in eastern part of Gujarat, India. In this study, the objective function is to minimize the annual sum of squared deviation from intended irrigation release and desired storage volume. The GA model was run with ten years of inflow, release, demand, surplus and evaporation data to derive an optimal reservoir operational policy. Releases from the reservoir for domestic, industrial and irrigation purposes during concern time period are the decision variables; these are subject to restrictions on the reservoir's mass balance, storage capacity, release and surplus. The results obtained shows that a minimum of 46.67 Mm3 and a maximum of 415.83 Mm3 of water may be saved in the water year 2018-19 and 2019-20, respectively. When produced results were compared to the actual releases, it emerged that GA greatly outperformed traditional optimization techniques in satisfying downstream demands and the reservoir's optimal operation may save significant quantities of water.

Mots clés: Evolutionary Algorithms (EA) ; Genetic Algorithm (GA) ; Reservoir optimization

WATER RESOURCES AND COMMUNITY DYNAMICS IN THE AGA-FOUA-DJILAS WATERSHED (SENEGAL): LOCAL PERCEPTIONS AND LOWLAND MANAGEMENT CHALLENGES

Dione Philippe Malick, Faye Cheikh,
2024-11-12

Résumé: Managing water resources in the lowlands of watersheds is crucial, especially in the context of climate variability and change. This article explores the challenges and opportunities associated with water management in the lowlands of the Aga-Foua-Djilas watershed in Senegal. The study examines people's perceptions of water resources, hydro agricultural structures, the relationship between water resources and production activities, the impacts of climate change on the water cycle, and people's expectations for sustainable water resource management. The study combines analysis of secondary data and community surveys. The results show that 82.7% of the population surveyed consider water resources to be scarce, and 47.4% consider hydro-agricultural structures to be very useful. Agriculture (market gardening 69.5%; rice growing 21.6%) and livestock farming (76.3%) are the main activities practiced. These activities have an impact on water quality and quantity. In addition, over 80% of the population expect technical and financial support, the construction of hydro-agricultural structures, the creation of village committees, the demarcation of livestock grazing areas, and their involvement in choosing the location of hydro-agricultural structures. These expectations are crucial for sustainable and efficient watershed management. Involving communities in the planning and execution of water projects enables beneficiaries to take ownership of the initiatives, strengthening their resilience to climatic fluctuations. Climate change has a profound impact on the water cycle in the watershed and directly influences various activities in the lowlands, requiring the sustainable use of water resources for a variety of purposes. These results underline the need for authorities to support integrated and sustainable water management in watersheds sensitive to climate change.

Mots clés: water resources ; community dynamics ; lowlands ; watershed ; Aga-Foua-Djilas ; Senegal

FLOOD RISK ASSESSMENT IN ARID REGIONS BASED ON HYDRAULIC MODELING WITH HEC-RAS: CASE STUDY OF WADI TAMDA IN DOUCEN, ALGERIA

عثماني حورية, بوخالفة قويدر جهينة, Bensefia Sofiane, Djafri Sid Ali,
2024-11-10

Résumé: Flooding is widely recognized as one of the most extensive and destructive natural disasters on a global scale. Evaluating these flood hazards is crucial in the context of urban planning, land development, and hydrological analysis. Countries with arid climates pose a significant risk of flooding due to factors such as heavy rainfall, rapid urbanization, dry and infertile soils, and insufficient drainage systems. The study was conducted in the Wadi Tamda watershed, situated in the Doucen wilaya of Ouled Djellal, Algeria. The Wadi Tamda watershed is distinguished by the occurrence of swift inundation shortly after the initiation of rainfall. The objective of this study is to determine the locations that are susceptible to flooding, specifically those that experience floods with return periods of 10, 20, 50, and 100 years. In addition, we aim to create flood maps for extreme flood events in the region. This methodology has the potential to enhance the evaluation of flood vulnerability risk in the designated region. The methodology employed the HEC-RAS 2D model to simulate the hydraulic flow in the watercourse, considering various flow and boundary conditions. The simulation results were subsequently exported and analyzed using the Google Earth Engine software to generate flood maps. The risk maps indicate that the majority of the agricultural regions and a developed section of the secondary settlement of Khafoura, as well as the town of Doucen, are situated within a flood zone that poses a significant risk.

Mots clés: Flood risk; Wadi Tamda; HEC-RAS 2D; Google Earth Engine, Doucen.

APPLICATION OF SPI AND SPEI INDICES FOR THE ANALYSIS AND EVALUATION OF THE DROUGHT PHENOMENON IN THE AIN OUSSERA PLAIN, ALGERIA

كوسة ميلود,
2024-12-06

Résumé: Drought appears to be one of the main natural factors contributing to the degradation of agricultural landscapes and economic frameworks. The occurrence of drought episodes becomes noticeable following a prolonged absence of precipitation; however, it is difficult to determine their onset, extent, and resolution. Therefore, the precise assessment of drought characteristics based on drought intensity, extent, duration, and geographic coverage presents significant complexities. In thisresearch, two commonly used drought indices the precipitation index (SPI) and the precipitation evapotranspiration index (SPEI) are used to assess the meteorological state of drought in Algeria's Ain Oussera Plain. The potential evapotranspiration (PET) required for SPEI evaluation was computed using the Thornthwaite methods.Water deficiency was detected during the specified period, characterized by a decrease in precipitation levels associated with an increase in potential evapotranspiration rates. To investigate the temporal fluctuations of various levels of dryness, the SPI and SPEI were calculated during periods of 3, 6, 9, and 12 months. The analysis's findings demonstrated that, on practically all temporal scales, the years 1983, 1989, 1991, 1995, 2003, 2017, and 2021 were drought times based on both indices, with a noticeable majority of normal and moderate drought classifications.

Mots clés: Drought ; SPI ; SPEI ; semiarid climate ; Ain Oussera ; Algeria

COMPARATIVE STUDY OF MACHINE LEARNING MODELS IN PREDICTING WATER TABLE FLUCTUATIONS IN AZARSHAHR PLAIN, IRAN

Molavi Ahad, Ahmadzadeh Kaleybar Fariborz, Fatemi Seyyed Majid,
2024-11-10

Résumé: The management of drought and water scarcity concerning underground water resources requires modeling methodologies with a simple yet effective framework. Due to temporal and financial constraints, machine learning models (MLMs) play a crucial role in this context. This study aims to predict daily underground water levels (UWL) in Azarshar plain, Tabriz, Iran, using three MLMs (SVM, GEP, MLP). Covering 126 annual datasets for 34 wells from 2018 to 2021, various combinations were tested with different UWLs and lag-times. Performance evaluation metrics including RMSE, MAE, R2, and DDR were employed. Results show satisfactory accuracy for all three MLMs, with SVM, GEP, and MLP being more accurate in 53%, 26%, and 20% of cases respectively among the 34 wells. The input configuration with a lag-time of two days (M2) emerged as the most optimal, yielding the most accurate simulations. Average values of RMSE, MAE, R2, and DDR for M2 during the testing period were calculated as 0.2457, 0.2077, 0.9482, and 31.53 respectively. In conclusion, these MLMs offer viable alternatives to numerical models for managing and predicting UWL, facilitating better water resource management in areas prone to drought and water scarcity.

Mots clés: Simulation ; Aquifer ; Prediction ; Performance Assessment

EVALUATING THE EFFECTIVENESS OF THE EXISTING FLOOD RISK PROTECTION MEASURES ALONG WADI DEFFA IN EL-BAYADH CITY

Ben Said Mosbah ,

Received date: 25-02-2024 Publication date: 15-09-2024 pages 7-28.

EFFECT OF PERFORATED COLLAR SHAPE AND OPENING PERCENTAGE ON SCOURING AROUND BRIDGE PIERS

Bagheri Ahmad , Bordbar Amin , Heidarnejad Mohammad , Masjedi Alireza ,

Received date: 26-03-2024 Publication date: 15-09-2024 pages 29-43.

REMOVAL OF AZO TOXIC DYE FROM SYNTHETIC WASTEWATER USING DRY SPEARMINT SPRIGS

Boudaoud ََasma , Ad Chifaa , Djedid Mebrouk , Guُُermit Mounira , Benalia Mokhtar , Soltani Amel ,

Received date: 21-03-2024 Publication date: 15-09-2024 pages 45-67.

USE OF MACHINE LEARNING ALGORITHMS AND IN SITU DATA FOR ESTIMATING PARTICULATE ORGANIC CARBON FROM THE MEDITERRANEAN SEA

Fellous Samir ,

Received date: 09-07-2022 Publication date: 15-09-2024 pages 69-82.

THE WATER MANAGEMENT SYSTEM IN THE VILLAGE OF MENADES IN ALGERIA BETWEEN PAST AND PRESENT

Kezzar Mohammed Akli , Souar Aicha ,

Received date: 02-04-2023 Publication date: 15-09-2024 pages 83-107.

KINETIC AND ISOTHERM STUDY OF METHYLENE BLUE ADSORPTION ON ORANGE PEEL ACTIVATED CARBON

Khelili Hinda , Achour Samia , Konan Gervais Kouame , Guellal Messaoud ,

Received date: 23-04-2024 Publication date: 15-09-2024 pages 109-123.

DRINKING WATER PROBLEMS IN RURAL AREAS: REVIEW OF POINT-OF-USE METHODS TO IMPROVE WATER QUALITY AND PUBLIC HEALTH

Ihsan Taufiq , Derosya Vioni ,

Received date: 30-01-2024 Publication date: 15-09-2024 pages 125-141.

Classe
B

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