HydroResearch最新文献

{"title":"GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India","authors":"Padala Raja Shekar,&nbsp;Aneesh Mathew","doi":"10.1016/j.hydres.2024.05.003","DOIUrl":"10.1016/j.hydres.2024.05.003","url":null,"abstract":"<div><p>The current investigation was conducted in the Murredu watershed, situated in India. The essential datasets, such as the digital elevation model (DEM), soil, land use land cover (LULC), and rainfall parameters, were processed and analysed using a Geographic Information System (GIS) environment. The current research utilised the revised universal soil loss equation (RUSLE) model to assess the mean soil loss in the Murredu watershed. The mean annual soil loss was calculated to be 14.06 t/ha/year, indicating a high soil erosion risk. The RUSLE model results indicated a good outcome with an accuracy of 72.8%. Furthermore, the research area revealed that sub-watersheds (SW) 2 and SW 14 had the maximum and minimum mean annual soil loss, respectively. The sediment delivery ratio (SDR) for the Murredu watershed was determined to be 0.227. The Murredu watershed outlet received a mean annual sediment yield of 3.19 t/ha/year. Through investigation, it was determined that SW 2 had the maximum mean annual sediment yield, while SW 11 had the minimum. This current investigation provides valuable insights for stakeholders, decision-makers, and policymakers regarding sustainable ways of managing watersheds.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 315-325"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000192/pdfft?md5=d94a40444fbf382f814efda88baac8bd&pid=1-s2.0-S2589757824000192-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141025983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nutrient status of overlying water and sediment of West Lake, Hangzhou, China","authors":"Qingjun Fang ,&nbsp;Yadong Tang ,&nbsp;Jiying Zhu ,&nbsp;Huan Liao ,&nbsp;Xiaopei Du ,&nbsp;Guoliang Bai ,&nbsp;Hang Yang ,&nbsp;Zhenbin Wu ,&nbsp;Yi Zhang","doi":"10.1016/j.hydres.2023.12.001","DOIUrl":"https://doi.org/10.1016/j.hydres.2023.12.001","url":null,"abstract":"<div><p>A comprehensive investigation of the physicochemical properties of overlying water and sediments in Hangzhou West Lake, China was conducted. A wide range of crucial physical parameters were analyzed, revealing significant spatial and seasonal differences. Total nitrogen (TN), total phosphorus (TP), and chemical oxygen demand (COD) concentrations in overlying water met the Class III limits (TN ≤2 mg/L, TP ≤0.2 mg/L, COD ≤20 mg/L) of the Environmental Quality Standard for Surface Waters (GB3838–2002), indicating relatively good overall water quality. However, concerns were raised regarding potential eutrophication, particularly evident during summer with explosive chlorophyll-a growth in certain lake areas like WH (266 mg/L) and XLH (239 mg/L). Lakes receiving direct diversion showed lower TN and TP versus non-diverted lakes. This research provides valuable insight into the complex nutrient dynamics and conditions of West Lake, improving understanding of lake ecosystem management and sustainable conservation strategies.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 55-70"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757823000380/pdfft?md5=5480f8640372056c061827438ecda375&pid=1-s2.0-S2589757823000380-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139419228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Groundwater quality evaluation using water quality index and geospatial techniques in parts of Anantapur District, Andhra Pradesh, South India","authors":"P. Ravi Kumar,&nbsp;S. Srinivasa Gowd,&nbsp;C. Krupavathi","doi":"10.1016/j.hydres.2024.01.001","DOIUrl":"10.1016/j.hydres.2024.01.001","url":null,"abstract":"<div><p>The main aim of this research is to evaluate the quality of groundwater in parts of Anantapur district, Andhra Pradesh, for drinking and irrigation purposes. Groundwater samples were collected from various locations in the study area during the post-monsoon season and were analyzed for different parameters including pH, EC, TDS, Ca²⁺, Mg²⁺, Na⁺, K⁺, HCO₃⁻, Cl⁻, SO₄²⁻, and NO₃⁻. The results were then compared with the water quality standards of the World Health Organization (WHO). The major ions were found in the following order: Na⁺ &gt; Ca²⁺ &gt; Mg²⁺ &gt; K⁺ = HCO₃⁻ &gt; SO₄²⁻ &gt; Cl⁻ &gt; NO₃⁻. The obtained data was then mapped using the Arc-GIS technique to show the spatial distribution pattern of physicochemical properties and major ion concentrations in groundwater. The water quality index showed that 69% of the samples are very poor, and 31% are unfit for drinking purposes due to effective leaching of ions, over-exploitation of groundwater, direct discharge of effluents, and agricultural impact. Based on the Gibbs diagram, the groundwater samples fall within the rock dominance region. The majority of the samples fell into the C3S1 category, which denotes water with high salinity and low sodium which is moderately suitable for irrigation purposes, according to the USSL diagram. According to the Wilcox classification, 27% and 2% of groundwater samples are deemed doubtful and unsuitable, respectively, while 69% of samples are deemed suitable for farming. In addition, most groundwater samples show moderate suitability for irrigation when evaluated for SAR, %Na, PI, RSC, MAR, and KR. Most of the samples, with the exception of a few spots, turned out to be suitable for irrigation. However, due to human activity, some samples had levels of contamination that were higher than allowed and needed to be treated before consumption.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 86-98"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000015/pdfft?md5=c10dc52724f1386af5f87fd50c5da4dd&pid=1-s2.0-S2589757824000015-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139457775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exposure hazards of As in semi-urban rivers of Anambra, South-East Nigeria: Concentrations, source apportionments, health risks, and irrigation quality assessments","authors":"Christian Chukwuemeka Oli,&nbsp;Chideraa Courage Offor,&nbsp;Emeka Christian Ezeudu,&nbsp;Chinecherem Lilian Muotanya","doi":"10.1016/j.hydres.2024.03.003","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.03.003","url":null,"abstract":"<div><p>The assessment of As and other water quality parameters (Fe, Mn, K⁺, Na⁺, Mg²⁺, Ca²⁺, Cl⁻, SO₄²⁻, PO₄³⁻, NO₃⁻, BOD, EC, TSS, TDS, and turbidity) in the four rivers of Anambra State, Nigeria, was carried out in order to ascertain their human health risks. The results showed that As and Fe (mg/L) ranged from 0.00 to 1.39 and 0.10 to 0.26 respectively (September) and from 0.06 to 0.98 and 0.07 to 0.29 in October. As concentrations in the rivers followed the order: Obibia &gt; Mmiri-Ukwaka &gt; Ovia &gt; Mmiri-Eze, and were all above the WHO permissible limit (0.01 mg/L). Ovia, Obibia, and Mmiri-Ukwaka Rivers had WAWQI &gt;100, indicating unsafe water. As had <span><math><msub><mi>HQ</mi><mi>ing</mi></msub></math></span> &gt; 1 in all the rivers except in Mmiri-Eze. The strong positive correlation between As and Fe suggest their geogenic origin; hence these rivers should be treated with activated carbon before consumption.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 181-190"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000106/pdfft?md5=dc3ce5569e4ad5ddb322a397982ea6a5&pid=1-s2.0-S2589757824000106-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140181242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing ciprofloxacin removal from water using jamun seed (Syzygium cumini) biochar: A sustainable approach for ecological protection","authors":"Asha Ripanda ,&nbsp;Mwemezi J. Rwiza ,&nbsp;Elias Charles Nyanza ,&nbsp;Linda Numph Bih ,&nbsp;Miraji Hossein ,&nbsp;Ramadhani Bakari ,&nbsp;Somit Kumar Sigh ,&nbsp;Giridhar Reddy ,&nbsp;C.R. Ravikumar ,&nbsp;H.C. Ananda Murthy ,&nbsp;Karoli N. Njau ,&nbsp;Said Ali Hamad Vuai ,&nbsp;Revocatus L. Machunda","doi":"10.1016/j.hydres.2024.03.001","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.03.001","url":null,"abstract":"<div><p>Scientific interest in antimicrobial pollutants, such as ciprofloxacin, has increased. Due to spread of antibiotic-resistant bacteria, resistance genes, and their dissemination to the environment. Therefore, their remediation is necessary to ensure ecological sustainability. The current study aimed to optimise the removal of ciprofloxacin from synthetic water using jamun seed (JS) <em>(Syzygium cumini)</em> biochar using a response surface methodology (RSM). Result indicates ciprofloxacin elimination efficiency ranged between 32.46 and 94.95%, indicating the material can be improved and used for remediation of organics. The residual standard error of 4.4% were found for the predicted model, implying that the model is credible and can be used to predict future experimental findings. The R-squarred value for the improved Langmuir model's R² is 0.9681 which is inclose agreement with the Freundlich isotherm, R² 0.9757. Therefore, JS biochar could be utilized for the remediation of ciprofloxacin from contaminated water and wastewater for ecological safety and sustainability.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 164-180"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000088/pdfft?md5=963ac8109fcfafa75e92511bc6ec4555&pid=1-s2.0-S2589757824000088-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140162539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the impacts of river bed mining on aquatic ecosystems: A critical review of effects on water quality and biodiversity","authors":"Sourav Damseth,&nbsp;Kushal Thakur,&nbsp;Rakesh Kumar,&nbsp;Sunil Kumar,&nbsp;Danish Mahajan,&nbsp;Hishani Kumari,&nbsp;Dixit Sharma,&nbsp;Amit Kumar Sharma","doi":"10.1016/j.hydres.2024.01.004","DOIUrl":"10.1016/j.hydres.2024.01.004","url":null,"abstract":"<div><h3>Background</h3><p>River bed mining, an activity crucial for meeting the demands of construction and infrastructure development, has raised concerns about its potential adverse impacts on aquatic ecosystems. This critical review explores the multifaceted consequences of river bed mining on water quality and biodiversity, aiming to provide a comprehensive understanding of the ecological implications.</p></div><div><h3>Methodology</h3><p>The methodology consisted of searching through a number of different scientific databases in order to locate works that had been subjected to peer review and had been published between the years 1985 and 2023 about the subject matter of this study. Among the keywords and controlled vocabulary that were incorporated into the search strategy were river bed mining, aquatic ecosystem, water quality, biodiversity, and remedial measures.</p></div><div><h3>Results</h3><p>The degradation of water quality emerges as a primary concern associated with river bed mining. Sediment release, altered flow patterns, and increased turbidity are identified as key contributors to water quality deterioration. These changes have cascading effects on the physicochemical parameters of the aquatic environment, influencing nutrient cycles, dissolved oxygen levels, and overall ecosystem health. Biodiversity, a fundamental component of aquatic ecosystems, faces a spectrum of challenges due to river bed mining. The alteration of riverbed habitats and disruption of natural flow dynamics pose direct threats to the survival of various aquatic species. Additionally, the sedimentation resulting from mining activities can smother habitats and affect the reproductive success of sensitive organisms, further exacerbating biodiversity loss. The role of sustainable mining practices, habitat restoration, and the implementation of buffer zones is evaluated in the context of preserving water quality and supporting biodiversity conservation.</p></div><div><h3>Conclusion</h3><p>This critical review provides a nuanced analysis of the impacts of river bed mining on aquatic ecosystems, emphasizing the importance of a holistic approach to address water quality degradation and biodiversity loss. The findings underscore the urgency of adopting sustainable practices and robust regulatory measures to ensure the long-term health and resilience of riverine environments in the face of ongoing development pressures.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 122-130"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000040/pdfft?md5=46729f2979d7ca68cb4b83df74577c61&pid=1-s2.0-S2589757824000040-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139537192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physicochemical and geochemical analysis of groundwater quality in Ilaporu, Ogun State, Nigeria, for domestic and agricultural usage","authors":"Fidelis Olatoyosi Ogunsanwo ,&nbsp;Jacob Dele Ayanda ,&nbsp;Oluwaseun Tolutope Olurin ,&nbsp;Olusegun Emmanuel Ogundele ,&nbsp;Bolaji Temidayo Ogunsanwo ,&nbsp;Kazeem Agboola","doi":"10.1016/j.hydres.2024.04.003","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.04.003","url":null,"abstract":"<div><p>The inhabitant of Ilaporu settlements solely depends on groundwater for domestic and agricultural purpose as a result of scarcity and contamination of surface water. The present study therefore aimed at investigating the physicochemical and geochemical composition of Ilaporu groundwater for domestic and agricultural suitability. Hand-dug well waters were picked randomly from thirty (30) major agricultural settlements with the aid of Global Position Satellite (GPS). The physical parameters such as Hydrogen ion concentration (pH), Electrical conductivity (EC),) and Total Dissolved Solid (TDS) were measured in-situ while the chemical compositions of cations (Ca²⁺, K⁺, Mg²⁺ and Na⁺) and anions (<span><math><msup><mi>Cl</mi><mo>−</mo></msup></math></span>, <span><math><msup><mi>F</mi><mo>−</mo></msup></math></span>, <span><math><msubsup><mi>SO</mi><mn>4</mn><mrow><mn>2</mn><mo>−</mo></mrow></msubsup></math></span>, <span><math><msubsup><mi>NO</mi><mn>3</mn><mo>−</mo></msubsup></math></span>and <span><math><msubsup><mi>CO</mi><mn>3</mn><mrow><mn>2</mn><mo>−</mo></mrow></msubsup></math></span>) were obtained through laboratory procedure. The water was subjected to an analytical measurement utilizing an Atomic Absorption Spectrometer (AAS) to examine seven heavy metals (Cd, Pb, Ni, Fe, Mn, Co, and Zn). This study was conducted to examine various water geochemical pollution and contamination indicators, including degree of contamination (DoC), modified degree of contamination (mDoC), enrichment factor (ER), accumulation index (Igeo), pollution loading index (PLI), ecological risk potential (ERIP), and health risks related to carcinogenic and non-carcinogenic substances. Water quality indexes such as the permeability index (PI), sodium adsorption ratio (SAR), soluble sodium percentage (SSP), sodium percentage ratio (%Na), residual sodium carbonate and bicarbonate (RSC and RSBC), Kelly's ratio (KR), and magnetic ratio (MR) were also used to evaluate the suitability of the water for irrigation. The geochemical result obtained revealed that the water has no trace of lead (Pb) contamination while other heavy metals obtained are within the acceptable limit of WHO and NSDWQ, except cadmium. The water quality index (WQI) was obtained to range between 1.11 and 23.76%. The result implies that the water falls in the excellent categories of the water quality index, thereby making it suitable for both domestic and irrigation. The PLI, DoC and mDoC water contamination/pollution index revealed PLI &lt;1, DoC &lt;7 and mDoC &lt;1.5 in all analysed water samples. This implies that the water has little or no contamination. The health assessment result showed that the water samples in the study area are susceptible to non-carcinogenic risk while Cd and Ni increase the risk of cancer (carcinogenic). The irrigation suitability of the groundwater are 100%, 100%, 93.7%, 60%, 83.3%, 83.3%, 86.7% and 90%, for PI, SAR, %Na, MR, R","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 225-247"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000131/pdfft?md5=35918362c966a6f1acfb7b02bc343b29&pid=1-s2.0-S2589757824000131-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140641110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Network-perspective marine ecosystem conservation and management, from concepts to applications","authors":"Yan Xu ,&nbsp;Mingliang Zhou","doi":"10.1016/j.hydres.2024.03.002","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.03.002","url":null,"abstract":"<div><p>Network-perspective based marine ecology research has gained popularity. Many research papers across various domains can find visualized network figures. However, many ecological network studies remain predominantly “descriptive”, reflecting variations in understanding of network concepts. In this paper, we systematically introduce the origins, fundamental theories, and concepts of ecological networks, emphasizing their application in marine ecosystem conservation and management. Network analysis, rooted in the development of network science, provides a comprehensive understanding of species interactions in ecosystems. Exploring the marine ecological networks is crucial for enhancing our comprehension of future threats. It informs the development of sustainable strategies for marine conservation and resource exploitation, such as designing marine protected areas, assessing ecosystem services, and managing fisheries. The ecological network concept has undergone significant development from theory to application. Looking ahead, with the rise of artificial intelligence and complexity science, our understanding of complex marine ecological networks is poised to advance further.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 191-200"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258975782400009X/pdfft?md5=26d3437bd949ac53a6043d21164ce34a&pid=1-s2.0-S258975782400009X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140348302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment the impacts of land cover and climate changes on rainwater harvesting systems using remote sensing and runoff model in some Wadis of West Matrouh – Egypt","authors":"Haytham M. Salem ,&nbsp;Mohamed A.I. Abdalla ,&nbsp;Khaled A. Metwally","doi":"10.1016/j.hydres.2024.05.002","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.05.002","url":null,"abstract":"<div><p>The aim of this study is to evaluate the potential changes in land cover and their impacts on rainwater harvesting systems, with a focus on Egypt's northwestern coastal region. To accomplish this objective, we utilized the kinematic runoff and erosion model (KINEROS2) to estimate the effects of projected land use changes on runoff and sediment load. The results demonstrated satisfactory performance of the model, with average Nash-Sutcliffe Efficiency values of 0.75 for calibration and 0.77 for validation, indicating successful simulations. The analysis revealed that land use changes had minimal impact in the base scenario (S1), resulting in moderate fluctuations in estimated sediment load. Conversely, the supplementary scenarios (S2 and S3) exhibited more pronounced alterations in land use, resulting in significant deviations in model estimations, notably indicating a substantial reduction in soil erosion. The integration of land use change analysis with KINEROS2 modeling emphasizes the potential for implementing effective management strategies.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 301-314"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000180/pdfft?md5=9b52cd73200aa25b74d04d4cb20fb9d2&pid=1-s2.0-S2589757824000180-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140951736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of seepage flow through earthfill dams using machine learning models","authors":"Issam Rehamnia ,&nbsp;Ahmed Mohammed Sami Al-Janabi ,&nbsp;Saad Sh. Sammen ,&nbsp;Binh Thai Pham ,&nbsp;Indra Prakash","doi":"10.1016/j.hydres.2024.01.005","DOIUrl":"10.1016/j.hydres.2024.01.005","url":null,"abstract":"<div><p>In this study, three machine learning models, namely, the Multilayer Perceptron Neural Networks (MLPNN), the Generalized Regression Neural Networks (GRNN) and the Radial Basis Function Neural Networks (RBFNN) were used for predicting seepage flow through an earthfill dam. Moreover, obtained results were compared with those obtained from the standard Multiple Linear Regression (MLR). The three models were developed using piezometer elevations observed at seven different piezometers, in addition to the related reservoir water level and the periodicity for a period of seven years. Obtained results indicated that the GRNN model had substantially better prediction performance than the RBFNN, MLPNN, and the standard MLR models with statistical values of coefficient of correlation <em>R</em> = 0.981, root mean square error RMSE = 0.386 L/s, and a mean absolute error MAE = 0.95 L/s. Moreover, including the periodicity factors improves prediction accuracy of the machine learning models.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 131-139"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000052/pdfft?md5=70d9f845931b57c9e9de24be720104cf&pid=1-s2.0-S2589757824000052-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139632000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}