LARHYSS Journal

  •    EISSN: 2602-7828
  •    Périodicité: Trimestrielle
  •    Taux d'acceptation: 79%
  •    Temps moyen de réponse: 88 Jours
  •    Temps moyen de publication après acceptation: 48 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...


23

Volumes

59

Numéros

692

Articles

Archive

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

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

UNEXPECTED FLOODING IN MERSA MATRUH, EGYPT: INVESTIGATING CAUSES, HYDROLOGICAL ANALYSIS, AND FLOOD RISK ASSESSMENT

Ezz Hesham, 
2025-02-09

Résumé: This study investigates the unexpected flood event that is reported in Mersa Matruh, Egypt, in October 2023, using hydrological modeling techniques. Despite the recorded precipitation depth being lower than that of a 2-year return period storm, the area experienced significant flooding. To address this anomaly, the study applied the Soil Conservation Service Curve Number (SCS-CN) method, calculating surface runoff based on preprocessed land use, soil, and hydrological data. Using the HEC-HMS software, runoff and flood hydrographs are simulated for a 50-year return period precipitation event. The analysis showed significant variation in peak runoff discharge across the five basins, with peak values ranging from 103.7 m³/s to 782.3 m³/s. A flood hazard map is developed to identify high-risk flood zones, highlighting the most vulnerable areas for future flooding events. These findings suggest that factors such as insufficient drainage infrastructure, malfunctioning flood protection measures, and topographical influences may have exacerbated the flooding. The results provide crucial insights into the hydrological processes contributing to the October 2023 flood and offer valuable data for developing effective flood risk management and mitigation strategies in the region.

Mots clés: Flood analysis ; DEM ; Remote sensing ; Spatial analyst ; Flood hazard map

IS CHLORINATION THE RIGHT SOLUTION FOR HOUSEHOLD WATER DISINFECTION IN INDONESIA? A CRITICAL REVIEW

Ihsan Taufiq, 
2025-03-06

Résumé: Chlorination is one of the household water treatment methods widely advocated in Indonesia. Challenges to effectiveness and efficiency, however, persist. This study reviews literature related to chlorination practices, with emphasis on the factors affecting successful practice and potential points at which improvements may be initiated. We discuss how water quality can affect chlorine effectiveness, the need for dosing strategies that correspond with the source water quality, and possible disinfection by-products. This review also explores alternative disinfection methods, such as filtration, UV irradiation, and boiling, comparing their advantages and disadvantages. User compliance is necessary but, in most cases, compromised by lack of motivation, misconceptions regarding chlorine safety, and perceived inconvenience. Specifically, this review identifies several key research gaps, including the need for further investigation into the long-term impacts of household chlorination on user behavior and the effectiveness of various communication strategies in promoting sustained adoption. We examine barriers and drivers to successful implementation in an Indonesian context considering all the factors influencing awareness, access, affordability, cultural practices, and government policies. We realize that these guidelines may not be enough to satisfactorily adopt chlorination, hence a call to focus our effort on the local environment with continued support toward behavior change. Based on our review, we include recommendations to further enhance efficiency, compliance, and sustainability in Indonesia's household chlorination programs and thus reduce disparity in access to safe drinking water as a means to improve the public health conditions.

Mots clés: Chlorination, Household Water Treatment (HWT), Drinking water, Water quality, Public health, Indonesia

EFFICIENT REMOVAL OF PHARMACEUTICAL CONTAMINANTS BY ALUMINIUM SULPHATE INSIGHTS ON DICLOFENAC AND pH INFLUENCE

Bacha Naima,  Achour Samia, 
2025-02-09

Résumé: The widespread presence of pharmaceutical residues, particularly non-steroidal anti-inflammatory drugs (NSAIDs) like diclofenac, in aquatic environments poses significant risks to both ecosystems and human health. This study aimed to evaluate the effectiveness of coagulation-flocculation using aluminium sulfate for the removal of diclofenac from distilled water under different pH conditions. Experimental procedures involved jar-test coagulation-flocculation trials at pH levels of 4, 7, and 9, with varying initial diclofenac concentrations and coagulant dosages. Diclofenac removal efficiency was analyzed using UV-visible spectrophotometry. The results indicated that pH and coagulant dosage significantly influenced the removal efficiency. The highest removal efficiency (64.44%) was achieved at near-neutral pH (pH 7) with a coagulant dosage of 150 mg/L for a diclofenac concentration of 15 mg/L. At acidic (pH 4) and alkaline (pH 9) conditions, the removal efficiencies were lower, reaching up to 60.74% and 31.49%, respectively, for higher diclofenac concentrations. Reaction mechanisms varied with pH due to changes in aluminum speciation and diclofenac interactions, with strong complexation and ligand exchange observed at near-neutral pH.A stoichiometric relationship was identified between the initial diclofenac concentration and the optimal coagulant dosage, with variations based on pH. This study highlights the importance of pH optimization in coagulation processes and provides valuable insights for improving water treatment strategies to mitigate pharmaceutical contamination.

Mots clés: Pharmaceuticals ; Diclofenac ; coagulation-flocculation ; aluminiumsulphate ; pH optimization ; stoichiometry

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 , 

Received date: 01-07-2024    Publication date: 12-04-2025    pages  7-32.   
DYNAMIC WATERSHED MODELLING: HEC-HMS ANALYSIS OF A TROPICAL WATERSHED

Kherde Rajesh ,  Mehta Darshan ,  More Kiran ,  Sawant Priyadarshi , 

Received date: 20-07-2024    Publication date: 12-04-2025    pages  33-57.   
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 , 

Received date: 10-06-2024    Publication date: 12-04-2025    pages  59-85.   
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 , 

Received date: 15-04-2024    Publication date: 12-04-2025    pages  87-105.   
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 , 

Received date: 10-07-2024    Publication date: 12-04-2025    pages  107-129.   


Classe
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