International Journal of River Basin Management最新文献

{"title":"The Rise of Counter Hydro-Hegemony and the Deconstruction of Old Narratives in the Eastern Nile Basin","authors":"Awol Ali","doi":"10.1080/15715124.2023.2294454","DOIUrl":"https://doi.org/10.1080/15715124.2023.2294454","url":null,"abstract":"","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"98 3","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139002179","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":"A Comparison of Eulerian and Semi-Lagrangian Approaches for Modeling Stream Water Quality","authors":"A. Sulis, T.B. Wild, D.P. Loucks","doi":"10.1080/15715124.2023.2294449","DOIUrl":"https://doi.org/10.1080/15715124.2023.2294449","url":null,"abstract":"","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"30 10","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139005035","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":"People beyond the Border in the Sandbars of Damodar River: Understanding the People’s Management in a Changing Landscape, India","authors":"Samar Kanti Chakrabartty","doi":"10.1080/15715124.2023.2289942","DOIUrl":"https://doi.org/10.1080/15715124.2023.2289942","url":null,"abstract":"","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"60 20","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138982465","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":"Occurrence, toxicity load, pollution index and health risk assessment of trace elements in drinking water of two catchments in North-western Himalayas.","authors":"Asiya Rahim, Savidh Khan, Asha Rani, Vysetti Balaram, Rayees Ahmed","doi":"10.1080/15715124.2023.2284183","DOIUrl":"https://doi.org/10.1080/15715124.2023.2284183","url":null,"abstract":"AbstractThe study focuses on the analysis of trace metals in drinking water from the Ganderbal and Budgam districts of Jammu and Kashmir. We have used high-resolution inductively coupled plasma mass spectrometry (HR-ICP-MS) to measure the concentrations of 31 trace metals in the water samples. The measured concentrations were then compared with the permissible limits set by the United States Environmental Protection Agency (USEPA), Bureau of Indian Standards (BIS), and World Health Organization (WHO). The results of the study indicate that arithmetic mean of several trace elements, including aluminum (Al = 781), chromium (Cr = 139), manganese (Mn = 41.86), nickel (Ni = 25.89), molybdenum (Mo = 1.30), cadmium (Cd = 36.86), and mercury (Hg = 67.65), in µg l-1 were found to have concentrations higher than their respective permissible limits. On the other hand, arithmetic mean of elements like beryllium (Be = 0.14), boron (B = 32.72), iron (Fe = 233), cobalt (Co = 1.79), copper (Cu = 10.71), arsenic (As = 0.93), selenium (Se = 3.13), strontium (Sr = 257), zinc (Zn = 43), antimony (Sb = 1.44), barium (Ba = 28.56), gold (Au = 0.91), and lead (Pb = 0.91) in µg l-1 were found to have concentrations below the permissible limits recommended by USEPA, BIS, and WHO. To assess the toxicity of the heavy metals in the study area, we calculated the Heavy Metal Toxicity Load (HMTL) for each metal. Based on these calculations, we concluded that only cadmium (Cd) and chromium (Cr) need to be removed from drinking water to ensure safety. The study also conducted a health risk assessment for both children and adults based on the measured concentrations of heavy metals. The assessment considered the ingestion and dermal contact routes of exposure. The Hazard Index (HI), which indicates the non-carcinogenic health effects, was found to exceed unity for only one element, cadmium (Cd), in both the children and adult groups. This suggests potential non-carcinogenic health risks associated with the ingestion of water and dermal contact. Additionally, the potential carcinogenic risk of cadmium (Cd) and arsenic (As) was identified and recommended for further attention. The study further evaluated the Heavy Metal Pollution Index (HPI) to assess the overall quality of drinking water in the study area. The HPI results indicated that the quality of drinking water was good, and the pollution levels in the study area were low. Overall, the findings of this study provide valuable information for water resource development and supply agencies. The results can be used as a baseline for future research and monitoring efforts in the region.Keywords: Heavy metaldrinking waterHealth riskGanderbal and BudgamDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production ","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"19 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134956877","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":"Floods in Dinaric Karst fields: a case study of the Dicmanjsko-Bisko Polje (Croatia)","authors":"Igor Ljubenkov","doi":"10.1080/15715124.2023.2277771","DOIUrl":"https://doi.org/10.1080/15715124.2023.2277771","url":null,"abstract":"ABSTRACTKarst areas are characterized by extreme heterogeneity and variability of geologic, morphologic, hydrogeologic, hydrologic, hydraulic, ecologic and other parameters in space and time. Therefore, the occurrence of floods under such condition manifests in different forms, intensities, and durations. Heavy precipitation in karst areas leads to a considerable increase in groundwater levels and the activation of temporary springs. Karst fields that have not been properly meliorated are particularly vulnerable to such phenomena and, can remain flooded for several weeks. In Dalmatia, in the southern Croatian region, there are 12 karst poljes with an area larger than 1000 ha, including Dicmanjsko-Bisko polje (1700 ha). Our study presents a conceptual model of the interaction of underground and surface water in the Dicmanjsko-Bisko polje, as well as the process of flooding. The input data were geological mapping and measured precipitation. The paper describes the December 2021 flood in detail. The average 11-day precipitation recorded in the field catchment area was 292 mm, which led to the flooding of 230 ha (approximately 14% of the field area). The main cause of the flooding in the western part of the field was a large amount of surface runoff, resulting in insufficient capacity of the existing drainage channels. In the eastern lowest part of the field, flooding was even more intense due to the insufficient capacity of the sinkhole. The flood caused damage to agricultural lands, infrastructure, and economic facilities. The paper proposes flood mitigation measures. The study is an example of the practical application of karst research, that can be used for different purposes (spatial planning, hydrologic monitoring, modeling hydrogeological processes).KEYWORDS: KarstfloodpoljeprecipitationDalmatia AcknowledgementsI would like to thank the mayor of Dicmo Petar Maretic for his help in collecting data, and colleagues Ivo Hrste and Emil Tomasovic for visiting the area. I also express my gratitude to my colleague, Zdravko Brajkovic, for his help in collecting and interpreting geological and hydrogeological maps. In addition, I thank Meteorological and Hydrological Institute of Croatia (DHMZ) and Croatian waters for providing the climate and hydrological data necessary to conduct this research. The study has one author, Igor Ljubenkov, who created its conception and design. Material preparation, data collection and analysis were performed by Igor Ljubenkov. The first draft of the manuscript was written by Igor Ljubenkov. The author read and approved the final manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s ).Data availability statementThe datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"26 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957158","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":"An innovative hydrological model for the sparsely-gauged Essequibo River basin, northern Amazonia","authors":"Daryl Hughes, Steve Birkinshaw, Geoff Parkin, C. Isabella Bovolo, Brighid Ó Dochartaigh, Alan MacDonald, Angela L. Franklin, Garvin Cummings, Ryan Pereira","doi":"10.1080/15715124.2023.2278678","DOIUrl":"https://doi.org/10.1080/15715124.2023.2278678","url":null,"abstract":"Tropical river basins – crucial components of global water and carbon cycles – are threatened by logging, mining, agricultural conversion, and climate change. Thus, decision-makers require hydrological impact assessments to sustainably manage threatened basins, such as the ∼68,000 km2 Essequibo River basin in Guyana. Emerging global data products offer the potential to better understand sparsely-gauged basins. We combined new global meteorological and soils data with established in situ observations to build the first physically-based spatially-distributed hydrological model of the Essequibo. We developed new, open source, methods to translate global data (ERA5-Land, WFDE5, MSWEP, and IMERG) into a grid-based SHETRAN model. Comparing the performance of several global and local precipitation and evaporation datasets showed that WFDE5 precipitation, combined with ERA5-Land evaporation, yielded the best daily discharge simulations from 2000 to 2009, with close water balances (PBIAS = −3%) and good discharge peaks (NSE = 0.65). Finally, we tested model sensitivity to key parameters to show the importance of actual to potential evapotranspiration ratios, Strickler runoff coefficients, and subsurface saturated hydraulic conductivities. Our data translation methods can now be used to drive hydrological models nearly anywhere in the world, fostering the sustainable management of the Earth’s sparsely-gauged river basins.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"32 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957564","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":"Drainage area is not enough: multivariate hydraulic geometry in the Southern Blue Ridge Mountains, USA","authors":"Jacob M. Bateman McDonald, D. S. Leigh","doi":"10.1080/15715124.2023.2274463","DOIUrl":"https://doi.org/10.1080/15715124.2023.2274463","url":null,"abstract":"AbstractRegional hydraulic geometry curves, which relate drainage area to channel morphology, are powerful tools for river restoration and watershed management. While there is a strong correlation between channel morphology and drainage area, the importance of watershed slope and relief on channel-forming flow, especially in mountainous regions, cannot be ignored. This research used single variable power functions along with multiple regression to determine which network- and or local-scale variables are influencing channel morphology in the Southern Blue Ridge Mountains. Within this region, watershed topography (i.e., relief and slope) and or local-scale characteristics (e.g., channel slope and sinuosity) are better predictors of channel morphology than drainage area. Additionally, the importance of local-scale characteristics in the multiple regression models provide strong evidence that site-specific conditions can be just as important as watershed characteristics in determining channel morphology. While multiple regression has been used to create hydraulic geometry equations in other regions, this is the first study that determined whether non-drainage area multiple regression models perform better than models that include drainage area. With the increasing ease with which network- and local-scale characteristics can be calculated, this research shows a clear need to incorporate additional network- and or site-specific characteristics into hydraulic geometry equations.Keywords: hydraulic geometrymultiple regressionfluvial geomorphologywatershedlocal-scaleGISDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. 7. DISCLOSURE STATEMENTThe authors report there are no competing interests to declare.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"52 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135365322","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":"Towards the selection of a longer record of quantitative precipitation forecast dataset from TIGGE ensembles for India during the monsoon season","authors":"Ankit Singh, Akshay Singhal, R. Ashwin, Nibedita Samal, Ripunjay Pandey, Sanjeev Kumar Jha","doi":"10.1080/15715124.2023.2270971","DOIUrl":"https://doi.org/10.1080/15715124.2023.2270971","url":null,"abstract":"AbstractChanging precipitation patterns and increased extreme events make a reliable forecast of summer monsoon precipitation crucial in India. We need a longer record of forecast data to develop a streamflow forecasting system. To select a suitable dataset from the THORPEX Interactive Grand Global Ensemble (TIGGE) archives, we applied two criteria: (i) the length of the dataset should be at least 10 years of continuous record, and (ii) the forecast product should have at least 20 ensemble members for a lead time of minimum 5 days. We evaluate the ensemble quantitative precipitation forecasts (QPFs) obtained from the four selected international agencies over the Indian region throughout the monsoon season (June to September) from 2011 to 2020. We specifically looked at the accuracy of QPFs in 22 river basins in forecasting normal and extreme precipitation events. Data from the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG) is used as observation data for the same period. We aim to assign the best QPF in each river basin. The proficiency of QPFs is evaluated using six criteria from deterministic, dichotomous, and probabilistic error statistics. The error values are classified into three categories – low, moderate, and high. A Forecast Reliability Index is formulated using the given four QPFs, and three categories for each of the six error statistics to answer (a) which QPF shows better performance in which river basin and (b) whether any conclusion can be made on the overall performance of a QPF for all the River Basins of India.Keywords: Quantitative Precipitation ForecastsTIGGE archiveForecast Reliability IndexExtreme precipitationRiver basinsDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. AcknowledgementsWe thank to the Editor, Associate Editor, and two anonymous Reviewers for their comments and suggestions on this manuscript. This research was completed thanks to the support of the Science and Engineering Research Board (SERB). Department of Science and Technology, Government of India (project number CRG/2022/004006) awarded to Sanjeev Kumar Jha.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"13 20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135616265","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":"Sequential riparian vegetation alteration in Japanese river landscapes","authors":"Takashi Asaeda, Diego García de Jalón, Matthew O’Hare, Mizanur Rahman","doi":"10.1080/15715124.2023.2273843","DOIUrl":"https://doi.org/10.1080/15715124.2023.2273843","url":null,"abstract":"AbstractBare gravel bed channels have been a common landscape feature of the middle reaches of rivers throughout Japan. They are disappearing these days because of vegetation colonization. Vegetation coverage of the riparian zones in the midstream reaches of rivers distributed throughout Japan was investigated using aerial photo images taken in 1946, 1975, and 2010. It was then compared with hydrological and water quality records, locations of dams and weirs, residential conditions of the surrounding areas, sediment yields, and forest coverage of the upstream mountainous areas. Riparian vegetation coverage has substantially increased in the last 70 years, from nearly 0 to 30-40%. Herbaceous vegetation coverage is higher than tree coverage. The total vegetation coverage did not correlate with water quality parameters. However, vegetation coverage had a significant negative correlation with the upstream basin's sediment yield and a slight negative correlation with the maximum flood peak flow rate. It was positively correlated with the terrestrial area fraction between levees. Riparian vegetation coverage was high within the 2 km downstream of dams or weirs, intercepting sediment flows. These results indicated that the gravelly sediment supplied from the upstream and deposited in the midstream at flood time has been the major contributor to keeping the vegetation coverage low rather than flushing by flood water. Reforestation since World War II has reduced the coarse sediment supply into the midstream river channels. This reforestation, together with gravel mining and intercepting sediment flow by dams and weirs, has caused the recent increase in vegetation coverage of the riparian zones. Human intervention can affect the vegetation conditions in riparian zones by decreasing sediment supply to river channels.Keywords: riparian vegetationgravelly river channelsediment yieldreforestationhuman interventionDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. 10. Data availability statementThe authors highly appreciate and state that data will be available for everyone upon reasonable request.","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135616712","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":"Identifying groundwater prospect zones through earth observation techniques in Bilate Watershed, Rift Valley Lakes Basin, Ethiopia","authors":"Demisachew Yilma, Samuel Dagalo Hatiye, Behailu Hussien, Karuturi Venkata Suryabhagavan","doi":"10.1080/15715124.2023.2264268","DOIUrl":"https://doi.org/10.1080/15715124.2023.2264268","url":null,"abstract":"AbstractGroundwater is one of the most valuable natural resources gifted to mankind, especially in surface water scarce locations. Most parts of the Ethiopia is dependent on the aminity for common needs, irrigation, etc. Lack of scientific approach in its exploitation and management makes the resource underutilized. Therefore, Remote sensing (RS) and Geographic information system (GIS) were utilized to decipher potential groundwater zones (PGWZ) existing in Bilate watershed of the nation so as to economize, speed up and technicalize the system. Ground truth of the results so obtained was verified to confirm the reliability of the techniques used. Through RS, optical and microwave data were obtained, while GIS was helpful to collect information on water points mapping and 2D resistivity survey in locating the aquifers. Especially, resistivity studies revealed the existence of both pyroclastic and rhyolite intrusions that act as water barriers and the basaltic and ignimbrite rocks that favor aquifer affluence. During the process of identification and quantification of PGWZ in the watershed, analytical hierarchy process (AHP), weighted linear combination (WLC), and digital elevation model (DEM) were employed in thematic layer formation, reclassification, overlay analysis and map production. As a result, five PGWZ having very high (19.8%), high (35.3%), moderate (22.6%), low (19.3%), and very low (2.9%) prospects were identified. Similarly, over 75% of the area was found to be moderate to high category in PGWZ. Accuracy of the qualitative groundwater inventory was proved to be 92.64 percent. Thus, combining high-resolution optical/microwave data and GPS information with AHP model has ascertained the accuracy of PGWZ identified. So ultimately, the present work lays foundation for the use of advanced spatial techniques in finding out natural resources useful for the welfare of the nation and its populace.Keywords: AHP; Bilate watershed; GPSGroundwater potentialSentinel data2D resistivityDisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. AcknowledgmentsThe authors would like to express special gratitude to Arba Minch University, Water Resources Research Center for financially supporting the study. We are also grateful to the Ethiopian National Meteorological Agency, South Water Works construction enterprise, Ethiopian Geological survey, Ethiopian Mapping Agency, and Ministry of Water, Irrigation, and Electricity for providing the relevant data. The authors also express special thanks to the European Space Agency for enabling the free use of sentinel data from the ESA Sen","PeriodicalId":14344,"journal":{"name":"International Journal of River Basin Management","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134885873","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}