HydroResearch最新文献

{"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":"Electro-sequence valorization of specific enablers of aquifer vulnerability and contamination: A case of index-based model approach for ascertaining the threats to quality groundwater in sedimentary beds","authors":"N.J. George ,&nbsp;A.M. Ekanem ,&nbsp;J.E. Thomas ,&nbsp;N.I. Udosen ,&nbsp;N.M. Ossai ,&nbsp;J.G. Atat","doi":"10.1016/j.hydres.2023.11.006","DOIUrl":"10.1016/j.hydres.2023.11.006","url":null,"abstract":"<div><p>This work was set up to appraise the quality of groundwater within a newly established university using index-based techniques and the intention is to generate vulnerability potential maps that can guide in avoiding vulnerable aquifer systems. The study used geo-electrical technology to evaluate the lithological sequence of the hydrogeological units and their first-and second-order geo-electric properties, as well as the geochemical constituents of groundwater. The results showed that the hydrogeological units are composed of sequences of sands, including fine to gravelly sands minimally laced with sandy clay, according to the results of geo-electrical technology. Layers 2 and 3 were accessible by the twenty VES (V1-V20) in which current gained access to designated economic and prospective aquifer systems. The aquifer systems considered have resistivity values ranging from 26.3 to 3576.5Ωm and mean value of 832.97Ωm. The five vulnerability models deployed showed very high spatial variability and moderate negative and positive binary correlations, construed to be due to subjectivity in the weight-rate assignment. The coefficients of variation (CV) from sensitivity analysis (SA) indicated variation in the vulnerability index due to topography (9.7%) and the impact of the vadose zone (4.3%), which are marginally higher than the 1.6% displayed by other parameters. The groundwater displayed WHO's disallowed concentrations of heavy ions, and the SA indicated that CV for the groundwater geochemical contamination is variably high in cadmium ions (140.9%) followed by manganese ions (132%) and copper ions (88. 2%) across the wells. The moderately variable contribution distributions across the wells are nickel ions (48.8%), lead ions (41.6%), chromium ions (39.8%) and iron ions (35.0%). All the geophysical and geochemical indices affirm that the groundwater is vulnerable and contaminated and therefore requires monitoring and management.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 71-85"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757823000379/pdfft?md5=bd211fb61f7329185f8864e5f8cdf2a3&pid=1-s2.0-S2589757823000379-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138613666","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":"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}

{"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":"&lt;div&gt;&lt;p&gt;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 (Ca&lt;sup&gt;2+&lt;/sup&gt;, K&lt;sup&gt;+&lt;/sup&gt;, Mg&lt;sup&gt;2+&lt;/sup&gt; and Na&lt;sup&gt;+&lt;/sup&gt;) and anions (&lt;span&gt;&lt;math&gt;&lt;msup&gt;&lt;mi&gt;Cl&lt;/mi&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/span&gt;, &lt;span&gt;&lt;math&gt;&lt;msup&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/span&gt;, &lt;span&gt;&lt;math&gt;&lt;msubsup&gt;&lt;mi&gt;SO&lt;/mi&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;/math&gt;&lt;/span&gt;, &lt;span&gt;&lt;math&gt;&lt;msubsup&gt;&lt;mi&gt;NO&lt;/mi&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;/msubsup&gt;&lt;/math&gt;&lt;/span&gt;and &lt;span&gt;&lt;math&gt;&lt;msubsup&gt;&lt;mi&gt;CO&lt;/mi&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;/mrow&gt;&lt;/msubsup&gt;&lt;/math&gt;&lt;/span&gt;) 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":"Addressing water scarcity challenges through rainwater harvesting: A comprehensive analysis of potential zones and model performance in arid and semi-arid regions–A case study on Purulia, India","authors":"Subhra Halder,&nbsp;Suddhasil Bose","doi":"10.1016/j.hydres.2024.04.001","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.04.001","url":null,"abstract":"<div><p>Water scarcity in arid and semi-arid regions is a critical global concern, necessitating innovative solutions to address increasing water demands in these vulnerable areas. This study focuses on tackling this challenge by identifying and classifying rainwater harvesting zones based on their potentiality and comparing the performance of two machine learning models, Artificial Neural Network (ANN) and Random Forest (RF), for optimizing rainwater harvesting strategies. The study area is Purulia, a district in India. Extensive literature review was conducted to identify key factors influencing rainwater harvesting. Open-source remotely sensed data were employed to pinpoint rainwater harvesting potential zones. A multi-criteria decision-making technique was applied to assess the importance of various factors. Results indicated that rainfall, slope, runoff potential, soil, land cover, and drainage density are the six crucial factors for selecting suitable rainwater harvesting locations. Approximately 2% of the area is unsuitable, 8% is poorly suitable, 33% is moderately suitable, 45% is highly suitable, and the remaining 12% is extremely suitable in Purulia. Two predictive models were developed, with the RF algorithm demonstrating nearly 99% accuracy. Finally, remedial techniques for mitigating water scarcity through rainwater harvesting are discussed separately for urban and rural areas. This research article embraces a comprehensive approach to address water-related concerns, offering a replicable framework applicable globally, with a specific focus on arid and semi-arid regions.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 201-212"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000118/pdfft?md5=dd221b4db70a94d11d675df3491ceb49&pid=1-s2.0-S2589757824000118-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140539167","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":"Ecological consequences of microplastic pollution in sub-Saharan Africa aquatic ecosystems: An implication to environmental health","authors":"Edward Moto ,&nbsp;Miraji Hossein ,&nbsp;Ramadhani Bakari ,&nbsp;Alfred Said Mateso ,&nbsp;Juma Rajabu Selemani ,&nbsp;Salma Nkrumah ,&nbsp;Asha Ripanda ,&nbsp;Mwemezi J. Rwiza ,&nbsp;Elias Charles Nyanza ,&nbsp;Revocatus L. Machunda","doi":"10.1016/j.hydres.2023.11.003","DOIUrl":"10.1016/j.hydres.2023.11.003","url":null,"abstract":"<div><p>Microplastic pollution (MPs) emerged as a significant environmental concern due to its persistent nature. These MPs particles endure in waters, soils, and even the atmosphere, posing potential threats to the entire ecosystem. Aquatic organisms are at risk of ingesting MPs, leading to accumulation in tissues, ultimately affecting entire food chain. This study aims to provide an overview of sources of MPs, distribution, and potential environmental impacts. MPs have been documented in various substances such as bottled water, salts, seafood, and even the air. However, the full extent of the health consequences on human exposure remains uncertain. Therefore, it is imperative that we draw public attention to the presence of these pollutants in the environment. To mitigate adverse effects of MPs, reducing plastic consumption, implementing improved waste management practices, and advocating sustainable behaviors are essential for well-being of natural ecosystems and the health human populations.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 39-54"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757823000343/pdfft?md5=dfd9c21ef81135ab93a7c4b44a466e32&pid=1-s2.0-S2589757823000343-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616339","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":"Hydrometeorological variation in the middle and upper reaches of the Yellow River Basin (1960–2019)","authors":"Xin Liu ,&nbsp;Xue Yang ,&nbsp;Geng Cui ,&nbsp;Yan Liu ,&nbsp;Wei Yang ,&nbsp;Xiangning Qu ,&nbsp;Lei Wang ,&nbsp;Shouzheng Tong","doi":"10.1016/j.hydres.2023.11.005","DOIUrl":"https://doi.org/10.1016/j.hydres.2023.11.005","url":null,"abstract":"<div><p>The hydrological and meteorological elements of the Yellow River Basin have undergone fluctuations in response to both climate change and human activities. Understanding its evolutionary trends is essential for the development of effective water conservation measures. Employing linear fitting, Mann–Kendall, and wavelet analysis techniques, this study scrutinizes the trends and periodicity in precipitation, air temperature, and runoff within the middle and upper reaches of the Yellow River Basin from 1960 to 2019. The findings elucidate that temperatures in the middle and upper reaches of the Yellow River have been progressively increasing on an annual basis, while precipitation exhibits periodic fluctuations, and annual runoff demonstrates a declining trajectory. Sudden changes in runoff and temperature transpired in the years 1985 and 1997, respectively, whereas sudden changes in annual precipitation occurred in 1961 and 2012. On an annual scale, the influence of temperature and precipitation on runoff displays no evident prominent cycle. Notably, a significant negative correlation exists between temperature and runoff, with the noteworthy impact of temperature on runoff primarily manifesting in the 6-year sub-cycle spanning 1986 to 1992, as well as the 9-year sub-cycle encompassing 1963 to 1972. Conversely, precipitation and runoff exhibit a significant positive correlation. The substantial effect of precipitation on runoff is mainly concentrated within the 9-year sub-cycle from 1963 to 1972 and the 8-year sub-cycle from 1972 to 1980. Precipitation emerges as the primary driving force behind watershed runoff. In essence, the study's outcomes unveil the implications of climate change on runoff within the middle and upper reaches of the Yellow River Basin, thereby offering pertinent insights for effective water resource management strategies in the face of evolving climatic conditions.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 32-38"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757823000367/pdfft?md5=2b694260e33fcbb1c9a98f776179ba43&pid=1-s2.0-S2589757823000367-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138489944","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":"Characterization of the recent (2019–2022) La Plata Basin hydrological drought from a centennial-scale perspective","authors":"Juan A. Rivera","doi":"10.1016/j.hydres.2024.02.002","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.02.002","url":null,"abstract":"<div><p>Several major rivers within the La Plata Basin (LPB), the third largest basin in the world, have experienced record-low water levels between 2019 and 2022, with significant impacts for the economy of the region. This hydrological drought originated from a precipitation deficit over the headwaters of the Paraná, Paraguay, and Uruguay rivers, in response to an unusual multi-year La Niña episode. The objective of this study is to characterize the hydrological drought and quantify its unusualness by analyzing a set of indices based on daily, monthly, and annual streamflow and water levels of the main rivers of LPB, using centennial records. The results indicate that the recent hydrological drought was unprecedented in the context of the past 50 years in terms of severity and duration, featuring extreme drought conditions and duration over 25 months. The atmospheric drivers of the drought are analyzed, and future perspectives for water management are discussed.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 140-153"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000076/pdfft?md5=63992aed984a6cfa9dfe43efdbd74ff8&pid=1-s2.0-S2589757824000076-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140013998","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":"Development of intensity – duration – frequency (IDF) curves using combined rain gauge (RG) and remote sense (TRMM) datasets for Weta Traditional Area in Ghana","authors":"Mawufemor Dzamposu Agakpe ,&nbsp;Mexoese Nyatuame ,&nbsp;Francis Ampiaw","doi":"10.1016/j.hydres.2024.01.003","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.01.003","url":null,"abstract":"<div><p>This research developed IDF curves and derived empirical equations for the Weta Area to estimate design rainfall. Daily rainfall data of Rain Gauge and Tropical Rainfall Measuring Mission (TRMM) 3B42 over 22 years for <em>Weta</em> were obtained from the Ghana Meteorological Services and National Aeronautics and Space Administration, respectively. The Indian Meteorological Department formula was used to disaggregate the daily data into hourly synthetic series to develop the IDF curves. The combined dataset was subjected to frequency analysis to determine the distribution which best characterize the dataset. The results demonstrated that the IDF curves provided higher intensities for shorter durations (0.08-h, 0.17-h, 0.25 h, and 0.5 h) while lower intensities for longer durations (1 h, 2-h, 6-h, 12 h and 24 h). The rainfall intensities and return periods are parallel and high intensities correlated with brief durations for the same return period. TRMM overestimated rainfall compared to Rain Gauge data. The IDF curves and derived empirical equations are useful scientific tools for hydraulic infrastructure design and water resources planning and management.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 109-121"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000039/pdfft?md5=34c3466feb30395be3f54e1d5805f2cf&pid=1-s2.0-S2589757824000039-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139549119","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}