HydroResearchPub Date : 2025-01-01DOI: 10.1016/j.hydres.2025.04.001
Jinyang Zhou , Huihui Yin , Yeling Liu , Baoshan Cui , Qing Wang
{"title":"Relationships between hydrological connectivity and river-lake ecospace in urban-rural areas","authors":"Jinyang Zhou , Huihui Yin , Yeling Liu , Baoshan Cui , Qing Wang","doi":"10.1016/j.hydres.2025.04.001","DOIUrl":"10.1016/j.hydres.2025.04.001","url":null,"abstract":"<div><div>Hydrological connectivity refers to a water-mediated transfer of matter, energy, and organisms in the hydrological cycle and plays a key role in shaping river-lake ecospace and their relevant functions. However, the river-lake ecospace is usually used to indicate static land units such as rivers, lakes, and riparian zones, which lack deep exploration of their relationships and connotations. As a functional space, the river-lake ecospace correlate with variations in hydrological connectivity in terms of structural and functional diversity along the unban-rural gradient. To better understand the relationship between hydrological connectivity and the river-lake ecospace, we first analyzed the characteristics and driving factors of hydrological connectivity in urban-rural areas and then summarized the distribution and functions of the river-lake ecospace. Based on these, we discussed the relationship between the variations in both of them in river-lake system from the aspects of structure, process, and function. Finally, we propose implications for regulating and optimizing the river-lake connectivity to expand the ecospace and enhance its functions.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 374-383"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869434","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}
HydroResearchPub Date : 2025-01-01DOI: 10.1016/j.hydres.2024.11.004
Meserecordias Wilfred Lema
{"title":"Contamination of urban waterways: A mini-review of water pollution in the rivers of East Africa's major cities","authors":"Meserecordias Wilfred Lema","doi":"10.1016/j.hydres.2024.11.004","DOIUrl":"10.1016/j.hydres.2024.11.004","url":null,"abstract":"<div><div>This study performs a mini-review, and provides sustainable solutions for water pollution challenges affecting major rivers flowing through urban areas in East Africa. Through a synthesis of 100 peer-reviewed publications between 2010 and 2023, the research examines deteriorating water quality in rivers; Tana, Nakivubo, Kafue, Ruaha, Ruvu and Mara from untreated municipal and industrial wastewater discharges from expanding cities. Results show that BOD, COD, nutrients, heavy metals and bacteria levels exceed national and international standards, degrading riverine environments and posing public health risks. Key constraints to effective pollution management are identified as overlapping governance responsibilities, outdated legal frameworks, lack of clear discharge standards, weak monitoring and compliance, and financing shortfalls. A suite of integrated solutions is proposed, emphasizing upgraded wastewater infrastructure, industrial effluent controls, and enabling policy reforms with strong multi-stakeholder coordination. The study aims to highlight urban river pollution challenges to guide evidence-based mitigation by East African water managers and policymakers.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 307-315"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154700","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 : 2025-01-01DOI: 10.1016/j.hydres.2024.12.006
Fariha Khatun, Ovi Ranjan Saha, Naila Matin
{"title":"Morphological changes in the offshore islands of Meghna estuary: Analysis of the erosion and accretion dynamics","authors":"Fariha Khatun, Ovi Ranjan Saha, Naila Matin","doi":"10.1016/j.hydres.2024.12.006","DOIUrl":"10.1016/j.hydres.2024.12.006","url":null,"abstract":"<div><div>This study examines the morphological changes of ten offshore islands in the Meghna estuary of Bangladesh over thirty years, from 1989 to 2019, utilizing remote sensing and Geographic Information System (GIS) techniques. The study area, characterized by ever-changing hydrodynamic conditions due to the substantial discharge from the Ganges, Jamuna, and Meghna rivers, experiences significant sediment deposition and erosion. Our findings highlight a complex interplay between erosion and accretion processes across the estuary. Despite 1100 km<sup>2</sup> of land being eroded, accretion processes were slightly more predominant, totaling 1210 km<sup>2</sup>, resulting in a net increase of 110 km<sup>2</sup> in land area. Notably, islands like Swarna Dwip and Moulovi Char exhibited substantial land gains, while Manpura and the eastern part of Bhola experienced significant reductions, underlining the urgent need for targeted erosion mitigation strategies. The study also identifies significant sediment deposition near tidal confluence zones around Sandwip, Jahazer Char, and Urir Char, suggesting that these are key areas for conservation efforts. The research contributes valuable insights into the geomorphological dynamics within the Meghna estuary. It offers foundational knowledge for informed coastal management and sustainable development planning in one of the world's most dynamically evolving coastal environments.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 294-306"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154669","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":"Hydrogeochemical characterization and human health risks associated with groundwater nitrate concentrations in the Saiss basin, Morocco","authors":"Abdelhakim Lahjouj , Abdellah El Hmaidi , Hafid Achtak , Chafik Nakhcha , Karima Bouhafa","doi":"10.1016/j.hydres.2024.11.006","DOIUrl":"10.1016/j.hydres.2024.11.006","url":null,"abstract":"<div><div>Groundwater has been facing not only prolonged climate change-induced groundwater shortage but also severe deterioration of groundwater quality from natural and/or anthropogenic sources. This study aims to determine the hydrogeochemical processes controlling groundwater chemistry in the Saiss basin, Morocco, and to assess seasonal changes in groundwater quality using the entropy-weighted water quality index (EWQI). In addition, human health risks associated with groundwater nitrate (NO<sub>3</sub><sup>−</sup>) contamination/pollution were investigated using the hazard quotient (HQ). Groundwater chemistry in the Saiss basin was mainly controlled by mineral dissolution/precipitation and direct cation exchange, with slight seasonal variations in the saturation indices (SIs). The EWQI suggested slight groundwater quality deterioration in the dry season due to increased NO<sub>3</sub><sup>−</sup> concentrations. In fact, children were over two times exposed to non-carcinogenic issues associated with groundwater NO<sub>3</sub><sup>−</sup> concentrations when compared with adults. The current study provides further insights into the hydrogeochemical characteristics of groundwater to ensure safe regional water supplies.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 223-236"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154656","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 : 2024-11-19DOI: 10.1016/j.hydres.2024.11.005
Sina Sam, Mehmet Özger
{"title":"A multi-method and multi-duration trend analysis of temperature and precipitation in Istanbul, Turkey, by using meteorological records, MERRA-2 reanalysis, and IMERG estimations","authors":"Sina Sam, Mehmet Özger","doi":"10.1016/j.hydres.2024.11.005","DOIUrl":"10.1016/j.hydres.2024.11.005","url":null,"abstract":"<div><div>In this study, temperature and precipitation trends in Istanbul were analyzed using data from a ground-based station for the 1960–2019 interval, Integrated Multi-SatellitE Retrievals for Global Precipitation Measurement (GPM IMERG) for 2000–2019, and Modern-Era Retrospective Analysis for Research and Applications (MERRA-2) temperature reanalysis for 1980–2019. Single-duration analysis revealed significant increasing temperature trends with minor downward and major upward tendencies in precipitation. Multi-duration analysis resulted with dominant decreasing and increasing temperature trends, respectively, in 1980–1999 and 2000–2019, alongside decreasing precipitation trends in 1980–1999 winter and 2000–2019 spring, which were undetected in the single-duration analysis. As a novel attempt, trends based on MERRA-2 and IMERG data were compared with ground-based records in Istanbul and revealed better compatibility in MERRA-2, especially in 2000–2019 compared to IMERG data. By comparing various statistical methods and data sources, this study offers valuable insights into hydrometeorological trend analysis and aids transition from conventional to novel data sources.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 209-222"},"PeriodicalIF":0.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701658","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 : 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":"2024-11-08","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}
{"title":"Soil archaea response to the water table drawdown in freshwater wetlands in the Yellow River Estuary","authors":"Qingqing Zhao, Yujie Huang, Wen Zhang, Fanyong Song, Tianyuan Li, Leilei Wang","doi":"10.1016/j.hydres.2024.11.001","DOIUrl":"10.1016/j.hydres.2024.11.001","url":null,"abstract":"<div><div>Water table dynamics affect the diversity and community structure of archaea in coastal wetlands. However, how the soil archaeal community responds to the water table drawdown remains unexplored. Here, soil samples from flooded freshwater wetlands (FFW) and saturated freshwater wetlands (SFW) were collected to investigate the impact of the water table drawdown on the soil archaeal community. The results showed that the alpha diversity index values in FFW soils were significantly higher than those in SFW soils (<em>p</em> < 0.05). The beta diversity indices indicated significant differences between of the FFW and SFW soils (<em>p</em> < 0.05). Crenarchaeota, Bathyarchaeia, and unidentified_Bathyarcaeia were the most dominant phylum, class and family in both the FFW and SFW soils, respectively, but they showed significantly higher proportions in the SFW soils (<em>p</em> < 0.05). The water table drawdown lowered the archaeal community richness and diversity, and significantly altered the archaeal community structure.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 194-201"},"PeriodicalIF":0.0,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652734","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 : 2024-11-03DOI: 10.1016/j.hydres.2024.11.002
Josephine Kawa Maximus
{"title":"Assessing watershed vulnerability to erosion and sedimentation: Integrating DEM and LULC data in Guyana's diverse landscapes","authors":"Josephine Kawa Maximus","doi":"10.1016/j.hydres.2024.11.002","DOIUrl":"10.1016/j.hydres.2024.11.002","url":null,"abstract":"<div><div>This study assesses watershed vulnerability to erosion and sedimentation in Guyana using Digital Elevation Model (DEM) and Land Use/Land Cover (LULC) classification. It aims to assess erosion risk by examining rainfall erosivity, soil types, and spatial variability. The integration of DEM-derived slope data with LULC and rainfall erosivity shows a strong correlation between high rainfall (20,809.02–31,262.35 mm) and erosivity (21,433.29–32,200.22 MJ mm ha<sup>−1</sup> h<sup>−1</sup> yr<sup>−1</sup>), indicating increased erosion potential, particularly in southwestern regions. Soil analysis reveals Plinthic Acrisols, with high clay content, are more prone to erosion, whereas Orthic Ferralsols are less vulnerable. Slope analysis suggests flat terrain (89.16 %) has low erosion risk, but steeper slopes require interventions. Conservation strategies like reforestation, sustainable agriculture, contour plowing, and terracing are recommended to reduce erosion impacts. This integrated assessment provides insights for prioritizing soil conservation and adaptive management to address erosion risks in Guyana.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 178-193"},"PeriodicalIF":0.0,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701657","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 : 2024-10-28DOI: 10.1016/j.hydres.2024.10.003
Zeda Yin, Arturo S. Leon
{"title":"Riverine flood hazard map prediction by neural networks","authors":"Zeda Yin, Arturo S. Leon","doi":"10.1016/j.hydres.2024.10.003","DOIUrl":"10.1016/j.hydres.2024.10.003","url":null,"abstract":"<div><div>Severe flooding can pose significant risks to human lives, result in substantial economic losses, and contribute to environmental problems such as soil salinization. An accurate early flood prediction system can effectively minimize these losses. Numerical method was the dominant approach for predicting flood inundation maps in the past decades. However, high-fidelity two-dimensional numerical methods are typically time-consuming. Machine learning methods have gained popularity in recent years, but generating a flood map directly with a small sample of boundary conditions remains challenging and largely unexplored. In this paper, we have developed a machine learning framework capable of directly predicting the maximum flood inundation map from boundary conditions. In our model, time-series boundary conditions are embedded into a higher-dimensional shape and then processed by a transformer encoder. The feature maps, post-processed by the transformer encoder, will be coupled with geophysical information such as a digital elevation map and Manning's coefficient map before being passed to the U-Net structure to obtain the final results. Our proposed model demonstrated notably high accuracy when tested with historical hurricane events. The mean absolute error of our proposed method on all test sets is 0.00717 ft., and the root mean squared error is 0.03974 ft. Furthermore, we conducted parametric studies on the model architecture and observed that they are not as sensitive as input features. Lastly, we provided explanations on why some certain geophysical features are necessary to accurately predict flood inundation maps in this paper.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 139-151"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142577849","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":"Flood susceptibility analysis to sustainable development using MCDA and support vector machine models by GIS in the selected area of the Teesta River floodplain, Bangladesh","authors":"Shapla Akhter , Md. Mostafizur Rahman , Md. Moniruzzaman Monir","doi":"10.1016/j.hydres.2024.10.004","DOIUrl":"10.1016/j.hydres.2024.10.004","url":null,"abstract":"<div><div>Managing flood risks to ensure sustainable development, this research analyses the flood susceptibility in the selected area of the Teesta River floodplain in Bangladesh using the MCDA model with the SVM model. The different geological and climatic flood vulnerability factors used in this study were collected from USGS, BMD, BARC, BWDB, and BBS. This study reveals that the channel pattern changed, drainage density decreased by 42.28 %, and TWI became high during the study period (2000−2020). This study shows that the very high, high, and medium flood-susceptible zones increased by 5.66 %, 2.7 %, and 7.74 %, and the low-risk zone decreased by 10.79 % during the study period. The drainage system was found to be a significant flood conditioning factor, and the waterbody and river area decreased by 5.31 %. From the flood inventory prediction rate curve analysis 70 % of validation points agreed with field data. According to AUC, the average success rate is 91.51 %.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 127-138"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142577847","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}