HydroResearchPub Date : 2025-01-01Epub Date: 2024-11-08DOI: 10.1016/j.hydres.2024.11.003
Tariku Takele, Musa Husein, Dechasa Diriba, Getnet Assefa
{"title":"Application of electrical resistivity tomography for groundwater evaluation in Yirgacheffe Town and its environs, Main Ethiopian Rift","authors":"Tariku Takele, Musa Husein, Dechasa Diriba, Getnet Assefa","doi":"10.1016/j.hydres.2024.11.003","DOIUrl":"10.1016/j.hydres.2024.11.003","url":null,"abstract":"<div><div>Exploring groundwater is crucial in areas with poor surface water quality, such as Yirgacheffe Town and its surroundings. This study aims to assess aquifer materials and groundwater potential using Electrical Resistivity Tomography (ERT) in the region, within the Main Ethiopian Rift. Four electrical resistivity profiles were gathered using a Wenner array with a WDA-1 digital resistivity and induced polarization meter from Chongqing, China. Each profile extended 236 m with 4-m electrode spacing. Data were analyzed and inverted with Res2DinV software and validated against lithological logs. The ERT inversion revealed three subsurface geoelectric layers: (1) massive rhyolite ignimbrite and basalt (>2000 Ωm); (2) weathered rhyolite ignimbrite and basalt (200–2000 Ωm); and (3) topsoil (4–200 Ωm). These results are key for effective water resource management and highlight ERT's utility in similar geological settings.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 202-208"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652735","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}
HydroResearchPub Date : 2025-01-01Epub Date: 2025-06-15DOI: 10.1016/j.hydres.2025.06.001
Satish Bastola
{"title":"Model parameterization scheme for a distributed hydrological model, BTOPMC","authors":"Satish Bastola","doi":"10.1016/j.hydres.2025.06.001","DOIUrl":"10.1016/j.hydres.2025.06.001","url":null,"abstract":"<div><div>A distributed hydrological model (BTOPMC) provides a distributed estimation of water balance components imperative for sustainable water resource management. The model employs numerous calibration parameters to represent the complex river system. The model uses a transfer function relating the basin scale parameters to estimate grid scale parameters. However, in large and heterogeneous river basin systems, more hydrological response units and subsequently more calibration parameters are required. The study developed the functional relationship between model parameters and catchment attributes at multiple scales to reduce the calibration parameters. The functional relationship developed from one of the test basins from Nepal with extant observations is analyzed by endogenizing the relationship and calibrating its coefficient rather than directly calibrating parameters. The results show that calibration of the regional relationship coefficient rather than the model parameters resulted in comparable model performance to direct calibration, but with more identifiable model parameters.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 384-393"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hydrogeochemical evaluation of groundwater evolution and quality in some Voltaian aquifers of Kintampo South District, Bono East Region, Ghana: Implications from chemometric analysis, geochemical modeling and geospatial mapping techniques","authors":"Emmanuel Daanoba Sunkari , Rafiatu Iddrisu , Joseph Turkson , Moses Boakye Okyere , Abayneh Ataro Ambushe","doi":"10.1016/j.hydres.2024.09.001","DOIUrl":"10.1016/j.hydres.2024.09.001","url":null,"abstract":"<div><p>Kintampo South District in the Bono East Region of Ghana is dominated by metavolcanic and metasedimentary rocks of the Birimian and the Voltaian Supergroups, which are reported to show aquifer complexities and quality issues. Therefore, assessment of groundwater evolution and quality is important in this area because of the growing need for groundwater for both agricultural and residential use. The people heavily rely on agriculture as their main source of livelihood, and the agricultural practices could potentially impact the groundwater quality. Consequently, this research aimed to evaluate groundwater appropriateness in the Voltaian aquifers of the Kintampo South District for irrigation and consumption. Irrigation water quality indices, geochemical modeling, hydrochemical graphing, and chemometric analysis were all used in the assessment. The investigation reported potassium ion (K<sup>+</sup>) as the principal cation in the groundwater, showing concentrations within the range of 0.200 to 61.0 mg/L and a mean of 6.32 mg/L. Bicarbonate (HCO<sub>3</sub><sup>−</sup>) is also the major anion in the samples with values that vary from 2.00 to 238 mg/L and a mean of 27.8 mg/L. Geospatial mapping indicates that these predominant ions show higher concentrations in the central part of the study area. Groundwater evolved from K-SO<sub>4</sub>-HCO<sub>3</sub> to Na-HCO<sub>3</sub>-Cl water types and other mixed forms, which are influenced by atmospheric precipitation and rock weathering. Geochemical modeling reveals that undersaturation of the groundwater occurs in relation to all the silicate and carbonate minerals in the aquifer. However, most samples show positive correlation with these minerals, suggesting precipitation under pre-existing conditions. Chemometric analysis indicated that the chemical composition of groundwater is controlled by human-induced and geogenic activities. With respect to all hydrochemical parameters, the groundwater is largely deemed safe for residential use based on the computed Water Quality Index values. The groundwater in the district is also appropriate for irrigation, according to irrigation indices of water quality such as the Wilcox diagram, sodium adsorption ratio (SAR), Electrical conductivity (EC), magnesium ratio (MR), and sodium percent (Na%).</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 13-27"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000234/pdfft?md5=76125f11a0e97e5d727e06a5ac4b8d87&pid=1-s2.0-S2589757824000234-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172991","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}
HydroResearchPub Date : 2025-01-01Epub Date: 2024-09-11DOI: 10.1016/j.hydres.2024.09.005
Victor Ofori Agyemang, Emmanuel K. Appiah-Adjei, Gordon Foli, Albert Asare
{"title":"A review of groundwater resource development in lower White Volta River basin of Ghana","authors":"Victor Ofori Agyemang, Emmanuel K. Appiah-Adjei, Gordon Foli, Albert Asare","doi":"10.1016/j.hydres.2024.09.005","DOIUrl":"10.1016/j.hydres.2024.09.005","url":null,"abstract":"<div><div>The Lower White Volta River Basin (LWVRB) has serious water supply deficit, since the demand for basic use exceed the current supply, however, transporting of treated water to the needy communities is financially unsustainable. The basin has a low borehole drilling success rate, but has the potential to produce high yielding boreholes. The frequent borehole drilling failure is attributed to a number of factors. These factors include limited aquifer recharge, dependent on fissured aquifers for groundwater flow, limited hydrogeological understanding of the LWVRB, poor selection and application geophysical method prior to borehole drilling. The study has shown that the target for groundwater exploration within the basin is the weathered and fractured zones around the depth of 150 m. It has also shown that effective integration of electromagnetic or two-dimensional magnetotelluric, two-dimensional resistivity and two-dimensional induced polarization methods for groundwater exploration prior the borehole drilling can improve the success rate.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 74-88"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142318674","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 runoff at ungauged areas employing interpolation techniques and deep learning algorithm","authors":"Vinay Mahakur , Vijay Kumar Mahakur , Sandeep Samantaray , Dillip K. Ghose","doi":"10.1016/j.hydres.2024.12.001","DOIUrl":"10.1016/j.hydres.2024.12.001","url":null,"abstract":"<div><div>Most river basins across the world are ungauged, and just a handful are gauged. As a result, predicting runoff in an unmeasured watershed is a difficult problem for the researchers. This research takes into account the tropical monsoon region, which is primarily covered by mountains and has a changing climate. This research is also carried out by creating a model with a machine learning technique that comprises Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). The hybrid model considerably improves runoff forecast accuracy, with the CNN-LSTM model reaching an overall accuracy of 99.29 % across many datasets. The study uses 25 years of meteorological data from gauged stations to calculate runoff predictions for four ungauged sites: Katigora, Subhang, Sonai, and Morang. The findings highlight the necessity of combining machine learning and classical approaches to improve flood forecasting skills, which are critical for successful water resource management in flood-prone areas. This novel technique not only fills a vital vacuum in hydrological research, but it also has practical implications for catastrophe risk mitigation initiatives worldwide.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 265-275"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154666","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}
HydroResearchPub Date : 2025-01-01Epub Date: 2024-10-12DOI: 10.1016/j.hydres.2024.10.002
Abhijeet Das
{"title":"Surface water potential zones delineation and spatiotemporal variation characteristics of water pollution and the cause of pollution formation in Brahmani River Basin, Odisha","authors":"Abhijeet Das","doi":"10.1016/j.hydres.2024.10.002","DOIUrl":"10.1016/j.hydres.2024.10.002","url":null,"abstract":"<div><div>Waste water reuse is an effective method for reducing the quantity of wastewater that enters the environment. As a result, the appropriateness was assessed in accordance with its composition and the global criteria for drinking water quality. This study aims to evaluate the quality of surface water of Brahmani River, Odisha, by adapting multivariate statistical approaches, namely Cluster Analysis (CA) and multi-criteria decision-making (MCDM) methods such as Simple Additive Weighting (SAW). Again, Geographical Information System (GIS) is employed to assess the drinking water's quality in relation to its application. Around 15 physicochemical parameters, gathered from seven distinct sites, following a period of 2022 till 2024. The results showed high values of EC, SO<sub>4</sub><sup>2−</sup>, NO<sub>3</sub><sup>−</sup>, PO<sub>4</sub><sup>3−</sup>, F<sup>−</sup> and Ca<sup>2+</sup>, in three stations, while other studied parameters are within the permissible limits defined by WHO standards. The CA three distinct classifications of sites namely, low, medium, and high, based on how comparable the various physicochemical traits and pollutant levels were throughout the sampling locations. Sites H-(4–6) were included in cluster 1, site H-(3) and (7) classified under Cluster 2 and finally, H-(1–2) indicated as Cluster 3. Thus, as stated by CA, 42.86 % of tested water samples were fall into the group of good quality and about 57.14 % of examined locations resides in the poor category of water. The findings indicate which characteristics, as determined by the CA technique, were accountable for the alteration in the water quality and raise the potential of runoff from cities, farms, and industries. Subsequently, MCDM techniques has been implemented to facilitate rapid comprehension of surface water behavior and address problems with water resource management. The obtained SAW index ranges from 0.5 to 0.94. Here, H-(1), (2), and (7) grouped as highly polluted zone, and they seemed to be connected to runoff from farms and untreated industrial and municipal trash as well as local pollution sources. From this innovative study, it is found that even though the water is fit for drinking at 3 places, it is medium to highly suitable for human consumption. Therefore, there needs to be treated in some way before being used in addition to being protected against contamination. Most often, the findings indicate that appropriate management actions are important to restore the water quality of this catchment in order to support a robust and promising aquatic ecosystem. Additionally, the significance of this restoration for objective ecological policy and decision-making processes is underscored.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 99-112"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442784","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}
HydroResearchPub Date : 2025-01-01Epub Date: 2024-09-14DOI: 10.1016/j.hydres.2024.09.003
Arijit Ghosh, Biswajit Bera
{"title":"Geogenic sources and high fluctuation rate of groundwater table accelerate the high fluoride in the aquifer of Manbhum-Singhbhum plateau fringe (India)","authors":"Arijit Ghosh, Biswajit Bera","doi":"10.1016/j.hydres.2024.09.003","DOIUrl":"10.1016/j.hydres.2024.09.003","url":null,"abstract":"<div><p>Fluorosis endemic is a foremost issue in the ancient Manbhum Singhbhum Plateau Fringe of India. Thus, the principal objectives of this study are i) to investigate the spatiotemporal distribution of fluoride contamination over the extended section of the Manbhum-Singhbhum Plateau and ii) to examine the fluctuation rate of groundwater, the geogenic sources of fluoride and their degree of impact. About 954 samples were collected from groundwater sources and tested using the Spectrophotometer. The Schmidt-Hammer (SH) method has been applied to identify the degree of weathering. Groundwater table fluctuation (GWTF) has been assessed using the Innovative Trend Analysis (ITA). The maximum concentration of fluoride was 19.3 mg/L in groundwater and 12.4 mg/kg in fluorite and apatite minerals. Areas with a negative trend of GWTF is faced high fluoride (>2.5 mg/L). Fluoride is high (>2 mg/L) where the SH values are less than 25. The outcome will be helpful for groundwater resource management.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 28-40"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000258/pdfft?md5=ccc852fea0c9e4aa8e8bec382bf2bfa0&pid=1-s2.0-S2589757824000258-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142230490","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}
HydroResearchPub Date : 2025-01-01Epub Date: 2025-01-06DOI: 10.1016/j.hydres.2024.12.007
Maximo Basheija Twinomuhangi , Yazidhi Bamutaze , Isa Kabenge , Joshua Wanyama , Michael Kizza , Geoffrey Gabiri , Pascal Emanuel Egli
{"title":"Analysis of stationary and non-stationary hydrological extremes under a changing environment: A systematic review","authors":"Maximo Basheija Twinomuhangi , Yazidhi Bamutaze , Isa Kabenge , Joshua Wanyama , Michael Kizza , Geoffrey Gabiri , Pascal Emanuel Egli","doi":"10.1016/j.hydres.2024.12.007","DOIUrl":"10.1016/j.hydres.2024.12.007","url":null,"abstract":"<div><div>Research on hydrological extremes has increased due to their increasing frequency and destructive power, with their non-stationarity attributed to human activities and climate change. To understand current advances in analyzing extremes, a systematic review of online literature was conducted using PRISMA framework. The review covered several aspects of analysis considered in literature like time series types, non-stationarity detection techniques, frequency analysis (FA) category, probability distribution types, covariates used, parameter estimation and model selection techniques. Results indicate that AMS (71.7 %), Mann-Kendall non-stationarity detection test (70.8 %), GEV distribution (41.4 %), ML parameter estimation (34.6 %) and model selection AIC (30.0 %) were mostly applied. Non-stationary alongside stationary FA was carried out most (82 %) and non-stationary models outperformed the stationary ones. Time was used as a covariate in most studies (50.5 %) compared to anthropogenic (7.1 %), local-scale (11.4 %) and large-scale (31.0 %) climate covariates. Effective hydrological extremes management requires an understanding of their non-stationarity in a changing environment.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 332-350"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154690","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":"Resource to risk: Inter-decadal and sub-seasonal rainfall modulation over Saurashtra region in Western India","authors":"Bhanu Parmar , Suvarna Shah , Hiteshri Shastri , Indra Mani Tripathi","doi":"10.1016/j.hydres.2025.01.002","DOIUrl":"10.1016/j.hydres.2025.01.002","url":null,"abstract":"<div><div>Climate change, recognized as the long-term change in atmospheric conditions is one of the most evident feature of 21st century. Limited studies on Saurashtra's rainfall variability underscore the need to explore temporal and spatial patterns, vital for sustainable water resource management and agricultural planning in the region. This study examines seasonal and sub-seasonal rainfall trends (1981–2020) using high-resolution IMD data, applying <em>Z</em>-score, Mann-Kendall test, Sen's slope estimator, and Rainfall Anomaly Index for analysis. The region has experienced increased variability in rainfall, particularly at the upper extremes. Statistical analysis shows a significant increase in mean rainfall during 2001–2020, with distinct trends compared to earlier decades. Notably, September exhibits the largest upward trend in rainfall at +1.53 mm/year. Seasonal RAI highlights a shift from predominantly negative rainfall anomalies (1981–2000) to positive anomalies in the later period (2001−2020). These findings emphasize studying atmospheric dynamics to understand future rainfall changes.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 351-360"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154688","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}
HydroResearchPub Date : 2025-01-01Epub Date: 2024-12-28DOI: 10.1016/j.hydres.2024.12.005
Yiwei Du , Xiaoguang Li , Siru Liu , Tian Lin
{"title":"Construction of nitrogen and phosphorus flux of land-based pond mariculture: Taking the Xiangshan Bay as an example","authors":"Yiwei Du , Xiaoguang Li , Siru Liu , Tian Lin","doi":"10.1016/j.hydres.2024.12.005","DOIUrl":"10.1016/j.hydres.2024.12.005","url":null,"abstract":"<div><div>The construction of nutrient flux can provide a scientific basis for understanding the fate in the aquaculture systems to facilitate sustainable coastal environment management. In this study, the tailwater of the mariculture pond from 65 sampling points in the Xiangshan Bay were measured. The average concentrations of total nitrogen and total phosphorus of the samples were 2.16 mg/L and 0.11 mg/L, which were lower than Category I of Mariculture Tailwater Discharge Standards of Zhejiang Province. Two methods were applied to estimate the discharge flux of the total nitrogen and total phosphorus from mariculture ponds in the Xiangshan Bay. The application of chemical analysis method was technically optimized by means of area data obtained by high-density sampling campaign and GIS method. It was estimated that the annual discharge flux of total nitrogen and total phosphorus via chemical analysis method were 271.2–338.9 tones and 7.6–9.5 tones, respectively. Potential environmental effects were further assessed according to monthly discharge flux combined with seasonal variations of hydrodynamic environment. In comparison, the estimated annual fluxes of chemical analysis method were much lower than the ones of pollution discharging coefficient method which were 357.56 tones/year and 22.00 tones/year, respectively. It is considered that part of nitrogen and phosphorus nutrients deposited into the bottom sediment of the ponds or coastal environment. The continuous loading of nitrogen and phosphorus nutrients into sediment can increase the risk of secondary release, especially in such semi-enclosed bay.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 286-293"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154668","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}