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1
Mosselman, Erik. "Studies on River Training." Water 12, no. 11 (November 4, 2020): 3100. http://dx.doi.org/10.3390/w12113100.
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This editorial regards a Special Issue of Water on river training. It introduces five papers in a framework of history, fundamentals, case studies and future. Four papers result from decades of experience with innovation, planning, design and implementation of river training works on rivers in Colombia, the Rhine branches in the Netherlands and the Brahmaputra-Jamuna River in Bangladesh. A fifth paper reviews the state-of-the-art in predicting and influencing the formation and behavior of river bars. The editorial argues that the future lies in more flexible river training, using a mix of innovative permanent structures and recurrent interventions such as dredging, sediment nourishment, vegetation management and low-cost temporary structures.
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Carling, P. A., F. Kohmann, and E. Gölz. "River hydraulics, sediment transport and training works: their ecological relevance to European rivers." River Systems 10, no. 1-4 (September 18, 1996): 129–46. http://dx.doi.org/10.1127/lr/10/1996/129.
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Markovic, Milica, and Jelena Markovic-Brankovic. "Environmental assessment of the hydraulic structures by various artificialization parameters." Facta universitatis - series: Architecture and Civil Engineering 12, no. 2 (2014): 121–32. http://dx.doi.org/10.2298/fuace1402121m.
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The natural rivers and their flood areas are among the most complex and diverse ecosystems in the world. Traditional structural solutions in river training works are focused on basic requirements as flood protection, littoral zone protection, river bed protection, providing the space for economic development. In this study a method of anticipated assessment of certain physical impact of designed river training works is presented, perceived as global effect of river bed artificialization. The method mainly serves to compare the various possible solutions of river training works, based on the ?artificialization parameter? also named ?global impact GI?.
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Oberhagemann, Knut, A. M. Aminul Haque, and Angela Thompson. "A Century of Riverbank Protection and River Training in Bangladesh." Water 12, no. 11 (October 27, 2020): 3018. http://dx.doi.org/10.3390/w12113018.
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Protecting against riverbank erosion along the world’s largest rivers is challenging. The Bangladesh Delta, bisected by the Brahmaputra River (also called the Jamuna River), is rife with complexity. Here, an emerging middle-income country with the world’s highest population density coexists with the world’s most unpredictable and largest braided, sand-bed river. Bangladesh has struggled over decades to protect against the onslaught of a continuously widening river corridor. Many of the principles implemented successfully in other parts of the world failed in Bangladesh. To this end, Bangladesh embarked on intensive knowledge-based developments and piloted new technologies. After two decades, successful, sustainable, low-cost riverbank protection technology was developed, suitable for the challenging river conditions. It was necessary to accept that no construction is permanent in this morphologically dynamic environment. What was initially born out of fund shortages became a cost-effective, systematic and adaptive approach to riverbank protection using improved knowledge, new materials, and new techniques, in the form of geobag revetments. This article provides an overview of the challenges faced when attempting to stabilize the riverbanks of the mighty rivers of Bangladesh. An overview of the construction of the major bridge crossings as well as riverbank protection schemes is detailed. Finally, a summary of lessons learned concludes the impressive progress made.
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Wang, Lei, Sui Gao Ye, Jian Hua Ye, and Fang Chun Lu. "Construction of Plant Communities for Ecological River Training and their Impacts on Biological Diversity." Applied Mechanics and Materials 744-746 (March 2015): 2367–71. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.2367.
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River play a very important role in regional landscape structure as an ecological element and corridor, and vegetation is very important for the healthy eco-system of a river. The advances of the research and application of near nature river training and vegetation measures were reviewed. The concept, content and function of ecological river training and near natural river training were discussed.. According to the principle of landscape biology, the positive influence of river vegetation on biodiversity was analyzed through edge effects, corridor effects and interference effects. On the basis of in-site experiments of more then ten sample rivers for years, it was concluded that to meet the needs of biodiversity conservation and maintain river ecosystem healthy and steady, in the design and construction of a river, the ecological function should take into due account, proper habitat conditions for plants and plant communities should be created through suitable plan layout, cross section, slope structure and construction material.
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Kulkarni, V. K., and B. U. Nayak. "FAILURES OF RIVER TRAINING MEASURES." ISH Journal of Hydraulic Engineering 2, no. 2 (January 1996): 52–60. http://dx.doi.org/10.1080/09715010.1996.10514592.
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Chan, S. N., and Joseph H. W. Lee. "Impact of river training on the hydraulics of Shenzhen river." Journal of Hydro-environment Research 4, no. 3 (October 2010): 211–23. http://dx.doi.org/10.1016/j.jher.2010.08.001.
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Li, Linqi, Hongwu Zhang, Lin Hou, and Haobo Li. "An Improved Method and the Theoretical Equations for River Regulation Lines." Sustainability 15, no. 3 (January 19, 2023): 1965. http://dx.doi.org/10.3390/su15031965.
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The regulation of wandering rivers is a universal problem that attracts significant attention. To effectively control the dynamic state of river course, it is necessary to adjust and construct river training works, which can be regarded as inseparable parts of the planning of river regulation lines. In this study, by comprehensively analyzing the water and sediment discharge in the wandering river of the Yellow River over the period 1952–2020, the large change in water and sediment conditions will inevitably affect the change in river regimes. By analyzing the river regime evolution process from 1990 to 2020 and calculating the river change index, it is found that the wandering channel of the Yellow River has gradually been stabilized, and there is no longer a large channel change, but a small amplitude swing still occurs frequently since 2010. Therefore, these phenomena highlight an urgent need for improving the planning of river regulation lines. According to the properties of parabola, circular arcs, elliptical arcs and curvature arcs, these curves are used to describe the flow path of the river. The theoretical equations of river regulation line with four curve forms are developed based on the latest river regimes and the location of the existing training works as the basis. Four groups of theoretical equations were verified by selecting typical river bends or reaches. The innovative practices from this study may assist in providing technical references, which control the frequent changes that occurred in river regime, as well as guaranteeing the healthy and sustainable development of rivers.
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Li, Xiaonan, Deyu Zhong, Y. Joseph Zhang, Yanjun Wang, Yongqiang Wang, and Hongwu Zhang. "Wide river or narrow river: Future river training strategy for Lower Yellow River under global change." International Journal of Sediment Research 33, no. 3 (September 2018): 271–84. http://dx.doi.org/10.1016/j.ijsrc.2018.04.001.
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Earchi, E., G. Roth, and F. Siccardi. "The Po: Centuries of river training." Physics and Chemistry of the Earth 20, no. 5-6 (October 1995): 475–78. http://dx.doi.org/10.1016/s0079-1946(96)00009-2.
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Crosato, Alessandra, and Erik Mosselman. "An Integrated Review of River Bars for Engineering, Management and Transdisciplinary Research." Water 12, no. 2 (February 21, 2020): 596. http://dx.doi.org/10.3390/w12020596.
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River training and river restoration often imply modifying the patterns and dimensions of bars, channels, and pools. Research since the 1980s has greatly advanced and matured our knowledge on the formation and behavior of river bars, thanks to field work, laboratory experiments, theoretical analyses, and numerical modelling by several research groups. However, this knowledge is not easily accessible to design engineers, river managers, and ecologists who need to apply it. This is mainly due to confusing differences in terminology as well as to difficult mathematical theories. Moreover, existing scientific publications generally focus on specific aspects, so an overall review of the findings and their applications is still lacking. In many cases, the knowledge achieved so far would allow minimizing hard engineering interventions and thus obtaining more natural rivers. We present an integrated review of the major findings of river bar studies. Our aim is to provide accessible state-of-the-art knowledge for nature-based bar management and successful river training and river restoration. To this end we review the results from analytical, numerical, experimental, and field studies, explain the background of bar theories, and discuss applications in river engineering and river restoration.
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Erskine, Wayne D. "Channel response to large-scale river training works: hunter river, Australia." Regulated Rivers: Research & Management 7, no. 3 (September 1992): 261–78. http://dx.doi.org/10.1002/rrr.3450070305.
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Shields, F. Douglas. "Fate of lower Mississippi river habitats associated with river training dikes." Aquatic Conservation: Marine and Freshwater Ecosystems 5, no. 2 (June 1995): 97–108. http://dx.doi.org/10.1002/aqc.3270050203.
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Vorogushyn, S., and B. Merz. "Flood trends along the Rhine: the role of river training." Hydrology and Earth System Sciences 17, no. 10 (October 10, 2013): 3871–84. http://dx.doi.org/10.5194/hess-17-3871-2013.
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Abstract. Several previous studies have detected positive trends in flood flows in German rivers, among others, at Rhine gauges over the past six decades. The presence and detectability of the climate change signal in flood records has been controversially discussed, particularly against the background of massive river training measures in the Rhine. In the past the Rhine catchment has been heavily trained, including the construction of the Rhine weir cascade, flood protection dikes and detention basins. The present study investigates the role of river training on changes in annual maximum daily flows at Rhine gauges starting from Maxau down to Lobith. In particular, the effect of the Rhine weir cascade and of a series of detention basins was investigated. By homogenising the original flood flow records in the period from 1952 till 2009, the annual maximum series were computed that would have been recorded had river training measures not been in place. Using multiple trend analysis, relative changes in the homogenised time series were found to be from a few percentage points to more than 10 percentage points smaller compared to the original records. This effect is attributable to the river training measures, and primarily to the construction of the Rhine weir cascade. The increase in Rhine flood discharges during this period was partly caused by an unfavourable superposition of the Rhine and Neckar flood waves. This superposition resulted from an acceleration of the Rhine waves due to the construction of the weir cascade and associated channelisation and dike heightening. However, at the same time, tributary flows across the entire Upper and Lower Rhine, which enhance annual maximum Rhine peaks, showed strong positive trends. This suggests the dominance of another driver or drivers which acted alongside river training.
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Zhou, Yin Jun, Sheng Qian, and Ning Ning Sun. "Application of Permeable Spur Dike in Mountain River Training." Applied Mechanics and Materials 641-642 (September 2014): 236–40. http://dx.doi.org/10.4028/www.scientific.net/amm.641-642.236.
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Based on the investigation and indoor experiment, the flow structure and properties of erosion or deposition associated with permeable spur dike were researched. According to the new demands about engineering structure in mountain rivers regulation, the potential action of permeable spur dike in mountain river training was analyzed. The results can be showed that, as the permeable structure, the influence of permeable spur dike to main flow and flood level is less than the solid one, and the local scour depth is less too, so the permeable spur dike has larger safety. In the back of permeable spur dike, it can form a slow flow field, instead of a circumfluence field, and the deposition volume is less than solid one, so the steady slow flow field can benefit to the small aquatic animal lives. The pervious rate can be adjusted to complete training goals when the project faces to different training demands. And the material of spur dike is not limited, it can use the local materials to build, which can reduce the construction cost. The permeable spur dike have a good applicability in the control of mountain river, it can meet the requirements of flood prevention, ecology, environment, cost saving and so on, it have a greatly application prospect.
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Vorogushyn, S., and B. Merz. "What drives flood trends along the Rhine River: climate or river training?" Hydrology and Earth System Sciences Discussions 9, no. 12 (December 7, 2012): 13537–67. http://dx.doi.org/10.5194/hessd-9-13537-2012.
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Abstract. The Rhine River catchment was heavily trained over the past decades and faced the construction of the Rhine weir cascade, flood protection dikes and detention basins. For the same time period, several studies detected positive trends in flood flows and faced the challenge of flood trend attribution, i.e. identifying the drivers of observed change. The presented study addresses the question about the responsible drivers for changes in annual maximum daily flows at Rhine gauges starting from Maxau down to Lobith. In particular, the role of river training measures including the Rhine weir cascade and a series of detention basins in enhancing Rhine floods was investigated. By applying homogenisation relationships to the original flow records in the period from 1952 till 2009, the annual maximum series were computed that would have been recorded had river training measures not been in place. Using multiple trend analysis, the relative changes in the homogenised time series were found to be smaller up to about 20% points compared to the original records. This effect is attributable to the river training measures and primarily to the construction of the Rhine weir cascade. The increase in Rhine flood discharges was partly caused by the unfavourable superposition of the Rhine and Neckar flood waves. It resulted from the acceleration of the Rhine waves due to construction of the weir cascade. However, at the same time, the tributary flows across the entire Upper and Lower Rhine, which enhance annual Rhine peaks, showed very strong positive trends. This suggests the dominance of a large-scale driver such as climate variability/change which acted along with river training. In particular, the analysis suggests that the river training measures fell in a period with increasing flood trends driven by factors other than river training of the Rhine main channel.
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Le, T. B., A. Crosato, and A. Montes Arboleda. "Revisiting Waal River Training by Historical Reconstruction." Journal of Hydraulic Engineering 146, no. 5 (May 2020): 05020002. http://dx.doi.org/10.1061/(asce)hy.1943-7900.0001688.
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Freeman, Mary C. "Training the Next Generation of River Warriors." BioScience 63, no. 6 (June 2013): 499–500. http://dx.doi.org/10.1525/bio.2013.63.6.12.
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Fošumpaur, Pavel, Martin Horský, and Tomáš Kašpar. "Historical River Training Works on the Lower Elbe." IOP Conference Series: Materials Science and Engineering 1203, no. 2 (November 1, 2021): 022015. http://dx.doi.org/10.1088/1757-899x/1203/2/022015.
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Abstract The paper deals with river training works built on the reach of the Elbe River between the city of Ústí nad Labem (CZ) and the Czech/German border. Downstream of the Ústí nad Labem, the Elbe in the Czech Republic and in Germany has only been made navigable through river training measures without building weirs. The goal of river training for watercourse navigability is to attain the required waterway parameters through fairway adjustments. This is primarily achieved through channel dredging and the construction of training dams to concentrate the water flow into a narrower but deeper main channel. The paper describes the historical development of river training works during the period from the Middle Ages to the present day. Initially, such works were not meant as part of a unified conceptually designed system of measures. Instead, they were local initiatives aimed to remove natural obstacles from the river bed and to build facilities and structures to aid navigation. Systematic regulation works along the Czech and German sections of the Elbe only started in the early 19th century. The research was focused on studying the original project documents and documentation of the actual design of the training dams since 1894. This historical design documentation was digitised and projected into the maps in the Czech JTSK local coordinate system through the use of advanced geographic information system (GIS) methods. The final atlas of river training works on the Elbe-Vltava Waterway (EVW) along the lower Elbe in the Czech Republic is the first of its kind, utilising geographic information systems to document the locations of technical structures built since the early 19th century in the Elbe River bed in order to make the river navigable and maintain its navigability. The collection of maps also documents the development of the river training works in time based on map data obtained from digitised design documentation from the 19th and 20th centuries, historical aerial photographs dated 1930–1946 and 1950–1964, and present-day maps and orthophotomaps of the Elbe section in question. The atlas of the Elbe-Vltava Waterway river training works is publicly available via a web-based application. The maps are a result of original research and offer a synthesis of interactions between the existing technical structures, the sediment regime of the Elbe and sites that are subject to environmental protection. The research was conducted as part of project no. DG18P02OVV004 entitled “Documentation and presentation of technical cultural heritage along the Elbe-Vltava Waterway” within a support programme for applied research and experimental development of national and cultural identity, funded by the Ministry of Culture of the Czech Republic.
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Harrison, Mandy, Sarah Banks, and Joy James. "An Evaluation of the Impact of River Guide Interpretation Training on the Client's Knowledge and Interest regarding the Environment." Journal of Interpretation Research 15, no. 1 (April 2010): 39–43. http://dx.doi.org/10.1177/109258721001500104.
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This study assesses the impact of a Headwaters Institute seminar interpretation training on a river guide's client knowledge and interest regarding the environment. The experiences of clients of river guides who had participated in the training were compared to experiences of clients of river guides who had not participated in the training. Experience in this case was measured by increase in interest in and knowledge of the river environment pre- and post-rafting trip. Regardless of guide training, all clients’ interest in and knowledge of the environment showed significant increase after the rafting experience. However, clients of guides who had participated in the training had significantly higher increases than clients of guides who did not participate in the training. This study indicates that river guide participation in interpretation training can influence the client's knowledge and interest regarding the environment. This study indicates that the embedding of interpretive messages in settings that are not traditionally interpretation platforms can encourage interest in the natural environment in a wider population.
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Dahal, Khet Raj, and Bhesh Raj Bhusal. "Evaluation and Effectiveness of River Training Works with Special Focus on Tinau River in Rupandehi District of Nepal." Journal of Lumbini Engineering College 4, no. 1 (December 7, 2022): 14–22. http://dx.doi.org/10.3126/lecj.v4i1.49359.
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Flood in Tinau River is very common since past decades. It has damaged several houses, cultivated land and live stocks in the past and continues till the date. Hundreds of hectares of cultivated lands have been deposited with sand and debris making the land unsuitable for farming. The governments of Nepal and local bodies have been launching projects for flood control. Various types of structures were built in the past. Millions of Nepalese Rupees have been invested for river training works. However, the river training works is not functioning well. This study was conducted during the period from March 2019 to April 2020. The objective of this study is to evaluation the effectiveness of river training works with especial focus on Tinau River in Rupandehi district of Nepal. Field observation, in-depth interview, focus group discussion and questionnaire survey were the major tools used for the field investigation. The study found that the extraction of river bed materials and unmanaged catchment area are also the causes of the ineffectiveness of the river training works. It also includes lack of monitoring and supervision, socio-political pressure and lack of enforcement of law and policies. Similarly, some other causes are inadequate co-ordination between line agencies, inadequate plan and policies and lack of awareness are the minor causes of ineffective river training works. Furthermore, inadequate maintenance of built up structures, irresponsible of beneficiary group, unmanaged population growth at catchment area were also found causes behind sustainability of the river training works. The study would like to suggest that the river bed extraction should be conducted in a balanced way. And, hydrological, geological and geotechnical studies should be conducted in detail before design of the river training structures.
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Sun, Alexander Y., Peishi Jiang, Zong-Liang Yang, Yangxinyu Xie, and Xingyuan Chen. "A graph neural network (GNN) approach to basin-scale river network learning: the role of physics-based connectivity and data fusion." Hydrology and Earth System Sciences 26, no. 19 (October 14, 2022): 5163–84. http://dx.doi.org/10.5194/hess-26-5163-2022.
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Abstract. Rivers and river habitats around the world are under sustained pressure from human activities and the changing global environment. Our ability to quantify and manage the river states in a timely manner is critical for protecting the public safety and natural resources. In recent years, vector-based river network models have enabled modeling of large river basins at increasingly fine resolutions, but are computationally demanding. This work presents a multistage, physics-guided, graph neural network (GNN) approach for basin-scale river network learning and streamflow forecasting. During training, we train a GNN model to approximate outputs of a high-resolution vector-based river network model; we then fine-tune the pretrained GNN model with streamflow observations. We further apply a graph-based, data-fusion step to correct prediction biases. The GNN-based framework is first demonstrated over a snow-dominated watershed in the western United States. A series of experiments are performed to test different training and imputation strategies. Results show that the trained GNN model can effectively serve as a surrogate of the process-based model with high accuracy, with median Kling–Gupta efficiency (KGE) greater than 0.97. Application of the graph-based data fusion further reduces mismatch between the GNN model and observations, with as much as 50 % KGE improvement over some cross-validation gages. To improve scalability, a graph-coarsening procedure is introduced and is demonstrated over a much larger basin. Results show that graph coarsening achieves comparable prediction skills at only a fraction of training cost, thus providing important insights into the degree of physical realism needed for developing large-scale GNN-based river network models.
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Jaafar, Qusay N., Khamis N. Sayl, and Ammar H. Kamel. "Numerical Modelling of River Training Work: A review." IOP Conference Series: Earth and Environmental Science 1222, no. 1 (August 1, 2023): 012010. http://dx.doi.org/10.1088/1755-1315/1222/1/012010.
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Abstract The construction of river training structures has a local influence on hydraulic and sediment regimes. River training is simply to modify the dimensions and patterns of channels, bars, and pools. Many scientists have applied and developed methods to identify suitable techniques for river training. In this paper 60 scientific papers were reviewed, and through this review, the researchers were divided according to the method of using the model and according to the problem that the researcher addressed, as 22% of the researchers tended to solve the sediment problem using the HEC-RAS model, and 45% of the researchers tended to solve the problem floods using the HEC- RAS model, as well as 23% of the researchers tended to refine the river section, while the last part of the researchers, who accounted for 10%, worked to solve the navigation problem by increasing the depth, and the most used model was obtained by the researchers, which is HEC- RAS, and reached. The percentage of researchers who used the model is 93%.
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van der Wal, Maarten. "Bank Protection Structures along the Brahmaputra-Jamuna River, a Study of Flow Slides." Water 12, no. 9 (September 16, 2020): 2588. http://dx.doi.org/10.3390/w12092588.
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The planform of the Brahmaputra-Jamuna River followed its natural path in Bangladesh until the construction of bank protection works started to save Sirajganj from bank erosion since the 1930s. Several so-called hardpoints such as groynes and revetments were constructed in the period 1980–2015 and the Jamuna Multipurpose Bridge was opened in 1998. The Brahmaputra Right Embankment and other projects had saved the western flood plain from inundation during monsoon floods. These river training works experienced severe damage by geotechnical failures, mostly flow slides. A flow slide is an underwater slope failure because of liquefaction or a breaching process in the subsoil or a combination of both. The design of most of these training works did not consider the risk of damage by flow slides. All descriptions of the observed damages show that scour phenomena in the channel close to a river training work are a cause of flow slides, besides pore water outflow. The research question was: how can the design of river training works be improved to reduce the risk of damage by flow slides? The main part of the investigation was focussed on reducing local scour holes near river training works. The most promising results are river training works with gentle bank slopes, permeable groynes, bed protections in dredged trenches with gentle side slopes, and methods to increase locally the bearing capacity of the subsoil. It is recommended to increase the knowledge of the failure mechanisms in the Brahmaputra-Jamuna River by improved monitoring in the field, the setup of a database with descriptions of all observed flow slides and the circumstances in which they occur. In addition to these recommendations, a field test facility is proposed to verify the knowledge of the failure mechanisms in that river. These activities will optimise the design of new river training structures with a very low risk of damages by flow slides and geotechnical instabilities and they will contribute to an improvement of the current design guidelines for river training structures.
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Edgar, B., N. Schofield, and A. Campbell. "Informing river management policies and programs with science." Water Science and Technology 43, no. 9 (May 1, 2001): 185–95. http://dx.doi.org/10.2166/wst.2001.0536.
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Conventional wisdom has it that we already have enough science to address the problems causing degradation of our environment, including rivers. This is not true. However it is the case that we could be using existing knowledge better, and that we could be doing more to learn the lessons from the huge sums being spent on river restoration and management. Informing good policy and practical on-ground management with R&D outputs has proven to be is difficult, but essential. This paper reviews some of the history of water and river management in Australia and how perceptions of rivers have evolved. It discusses the challenge of enhancing the linkages between science, policy and practice in river management. It outlines the knowledge exchange, R&D and capacity building strategies of the National Rivers Consortium - a new initiative whose founding partners are LWRRDC, the MDBC, CSIRO Land and Water and the Western Australian Waters and Rivers Commission. This strategic collaboration between policy makers, river managers and scientists brings together organisations with responsibility and expertise to improve the health and management of Australian rivers. The National Rivers Consortium is making a major investment in knowledge exchange and capacity building, based on direct personal contact and learning by doing. The Consortium is establishing a program of training activities targeting river managers and policy makers, based on the best available science and high quality information products. It will support river managers as they plan and implement river restoration and protection projects. The paper concludes with a discussion of the key knowledge gaps that remain impediments to the better management of Australia's unique and diverse river landscapes.
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ERSKINE, WAYNE D. "Hydrogeomorphic Effects of River Training Works: the Case of the Allyn River, NSW." Australian Geographical Studies 28, no. 1 (April 1990): 62–76. http://dx.doi.org/10.1111/j.1467-8470.1990.tb00622.x.
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Adib, A., and H. Jahanbakhshan. "Stochastic approach to determination of suspended sediment concentration in tidal rivers by artificial neural network and genetic algorithm." Canadian Journal of Civil Engineering 40, no. 4 (April 2013): 299–312. http://dx.doi.org/10.1139/cjce-2012-0373.
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Because of the interaction between tidal and fluvial flows in tidal rivers, sampling and measurement of suspended sediment concentration is very complex. Determination of suspended sediment concentration in tidal rivers is a very important problem in some countries such as Canada and United Kingdom (UK) (for example Bay of Fundy in Canada and Bristol Channel in UK). A numerical model cannot show suspended sediment concentration in tidal river accurately. Fluvial flows bring sand and gravel particles from the watershed, while tidal flow brings silt particles from the sea in flood time and returns them to the sea in ebb time. Interaction between tidal and fluvial flows, relation between suspended sediment concentration and return periods of them, correction of suspended sediment distribution coefficient for use in tidal limit of rivers, finding the best method for determination of suspended sediment concentration in tidal limit of rivers and optimization of it are major difficulties and challenges for determination of suspended sediment concentration. For overcoming these challenges in this research, a perceptron artificial neural network is trained and validated by observed data. For training of the artificial neural network (ANN), Levenberg–Marquardt training method is applied. For decreasing of the mean square error (MSE) and increasing of efficiency coefficient, parameters of ANN are optimized by genetic algorithm (GA) method. The GA method optimizes the number of nodes of hidden layers of ANN that is trained by Levenberg–Marquardt training method. Two sets of data are introduced into a network. Inputs of first network are distance from upstream of river, flood return period, and tide return period. These return periods are determined by observed data and governing stochastic distribution on them. Inputs of second network are distance from upstream of river, flood discharge, and ebb height. Output of these networks is suspended sediment concentration. Observed data show that maximum suspended sediment concentration is concerned with ebb that tidal flow and fluvial flow are in one direction. Because of a shortage of observed data especially in extreme conditions, a numerical model was developed. This model was calibrated by observed data. Results of numerical model convert to two regression relations. These relations are functions of distance from the upstream of river, discharge of flood (or flood return period) at upstream, and ebb height (or ebb return period) at downstream. Then the artificial neural network is tested with the remainder of observed data and results of the numerical model. Sensitive analysis shows that distance from the upstream of river and flood discharge are the most effective governing factors on suspended sediment concentration in first and second network, respectively. For the case study, the Karun River in south west of Iran is considered. This river is the most important tidal river in Iran.
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Hung Nguyen, The. "Philosophy in the Design of River Training Works." Acta Scientific Agriculture 4, no. 10 (August 28, 2020): 01. http://dx.doi.org/10.31080/asag.2020.04.0895.
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Aberle, Jochen. "River training and sediment management with submerged vanes." Journal of Hydraulic Research 48, no. 4 (August 2010): 553–54. http://dx.doi.org/10.1080/00221686.2010.491700.
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Vermeulen, Bart, Matthijs Boersema, Ton Hoitink, Arjan Sieben, Kees Sloff, and Maarten van der Wal. "Scale model of a training dam using lightweight granulates." E3S Web of Conferences 40 (2018): 05074. http://dx.doi.org/10.1051/e3sconf/20184005074.
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Longitudinal training dams (LTDs) are a promising alternative for river groynes. Here we summarize findings of a recent study focused on the along river transition from a series of river groynes to an LTD, where the flow divides between the fairway and the side channel between the LTD and the river bank. A scale model is setup using lightweight granulates made of polystyrene to create conditions that are dynamically similar to a prototype situation in the River Waal. The key advantage of using lightweight granulates is that both the Shields number and the Froude number are similar in the model and the prototype. A high flow and a low flow experiment were carried out. The bedforms in the physical model have dimensions that correspond to theoretical dune height predictions, and also the channel incision due to width reduction is in accordance with expectations. The scour holes that develop near the tip of the groynes, however, are too deep, which may relate to improper scaling of the local turbulent vortices, initiated at the groynes. The morphodynamic developments in the flow divergence zone are subtle, and are overwhelmed by the mobile bed response to the presence of groynes. Considering that the physical model over-predicts the erosion caused by groynes, this suggests that the LTD configuration subject to study results in a comparatively stable bed morphology.
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Zhou, Nie, Sheng Sheng, Li-Ying He, Bing-Ru Tian, Hua Chen, and Chong-Yu Xu. "An Integrated Approach for Analyzing the Morphological Evolution of the Lower Reaches of the Minjiang River Based on Long-Term Remote Sensing Data." Remote Sensing 15, no. 12 (June 13, 2023): 3093. http://dx.doi.org/10.3390/rs15123093.
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Understanding the evolution of river morphology is crucial for comprehending changes in water resources and implementing development projects along rivers. This study proposes an integrated approach utilizing remote sensing image data combined with deep learning and visual interpretation algorithms to analyze continuous-type changes in river morphology. This research focuses on the lower reaches of the Minjiang River in China and comprehensively analyzes the river’s morphological evolution from 1986 to 2021. The results show that the proposed method of river water identification in this study demonstrates high accuracy and effectiveness, with an F1 score and Kappa coefficient greater than 0.96 and 0.91, respectively. The morphology of the river channel remains stable in the upstream and estuarine sections of the study region while undergoing substantial alterations in the middle section. Additionally, this study also identifies several factors that significantly impact the evolution of river morphology, including reservoir construction, river sediment mining, river training measures, geological conditions, and large flood events. The findings of this study can provide some insights into the management and conservation of water resources.
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Rahmiyanti, Sitti, Rosmini Maru, Nathaniel Lucky Mangngesak, Alya Nurul Mutmainnah, and Rini Handayani. "Pemanfaatan Tanaman Eceng Gondok Menjadi Kerajinan Anyaman Sebagai Upaya Dalam Mengurangi Pencemaran Sungai Di Kecamatan Pammana." Panrita Inovasi: Jurnal Pengabdian Kepada Masyarakat 1, no. 1 (June 1, 2022): 17. http://dx.doi.org/10.56680/pijpm.v1i1.36912.
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In Pammana Subdistrict there are very many water hyacinth plants and have the potential to damage the environment. In this study, we intend to clean the river from water hyacinth plants as well as to process these plants into something useful. For this reason, the researchers carried out this activity with the objectives of: 1.) socializing the Pammana residents about the importance of protecting the environment, especially the rivers in Pammana, 2) Conducting training to the community regarding the use of water hyacinth into wickerwork, 3) Knowing the use of water hyacinth plants as woven crafts in reducing river pollution in Pammana District. The methods used to solve this problem are descriptive analysis, observation, interviews, discussions, and training assistance in making water hyacinth woven crafts with the target group. The processing processes are: Drying water hyacinth, making patterns, weaving, sewing, and finishing. The results of the activities achieved were: 1.) Increased awareness of Pammana residents regarding the importance of protecting the environment, especially rivers in Pammana, 2.) There was an increase in community creativity, especially in managing water hyacinth into woven crafts, 3.) Utilization of water hyacinth into woven crafts was very effective in reducing growth of water hyacinth in the river Pammana District
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Witek-Kasprzak, Matylda, Łukasz Kasprzak, and Joanna Remisz. "The influence of river training on the location of erosion and accumulation zones (Kłodzko County, South West Poland)." Open Geosciences 12, no. 1 (December 2, 2020): 637–55. http://dx.doi.org/10.1515/geo-2020-0031.
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AbstractThe channels of the main rivers in the Kłodzko County, South West Poland, have been strongly influenced by human activities since the end of the nineteenth century. The reasons, type, and time frame of these changes are very similar to those which occurred in other European mountain regions but the magnitude is different. Kłodzko County is an area with a well-developed river network. Since the Middle Ages, human activities were noticed in the river valleys of this region. The main cause of the most anthropogenic transformations of the river channels was changes in the volume of sediment supply and, thus, the channel load and its erosive and transport capacities. The ultimate effects of human impact are manifested in the changes of channel pattern, depth and sinuosity, and the location of erosion and accumulation zones. Morphological transformations are most intensive immediately after the regulation works. The influence of channel training is noticeable; however, there is no clear correlation between the occurrence of engineering structures and the development of channel forms. The channel changes are mostly local. The highest efficiency of channel processes is observed in the direct vicinity of the damming objects and in the peripheral fragments of bank-protection structures. Below the damming structures, the rate of channel downcutting increases because of sediment retention in dam and weir reservoirs, and above the transversal structures bed aggradation takes place; lateral erosion intensifies below the bank reinforcements, and sediment shadows are common below the transversal structures. The types of morphological changes observed in the regulated channels of the Kłodzko County are in most cases similar to the effects of training works in other mountain river systems in Poland and around the world; however, the scale of morphological influence is much smaller, which indicates greater stability of the river channels of the Sudetes than the Carpathian and Alpine river channels.
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Gorczyca, Elżbieta, Kazimierz Krzemień, and Krzysztof Jarzyna. "The Evolution of Gravel-Bed Rivers during the Post-Regulation Period in the Polish Carpathians." Water 12, no. 1 (January 16, 2020): 254. http://dx.doi.org/10.3390/w12010254.
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This study provides a conceptual model of the functioning of gravel-bed rivers during the post-regulation period in Poland and forecasts their subsequent evolution. The main difference between fluvial processes during the pre-regulation and post-regulation period is that they are limited to a zone that is currently several times narrower and trapped in a deep-cut channel. During the river post-regulation period, the construction of additional river training works was significantly limited in river channels. Moreover, all forms of economic activity were significantly reduced in the channel free migration zone, particularly bed gravel extraction operations. As a result of these changes, a limited recovery of the functioning and hydromorphology of the river channel occurred via a return to conditions in effect prior to river regulation. In recovering sections of river, the channel gradually broadens, and its sinuosity and number of threads increase. The overall process can be called spontaneous renaturalization, which yields a characteristic post-regulation river channel. The conceptual model was developed on the basis of the evolution of the gravel-bed river, the Raba River, during the post-regulation period in the Polish Carpathian Mountains.
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Junairiah, Junairiah, Tri Nurhariyati, and Listijani Suhargo. "INNOVATION OF MEDICINE PLANTS PROPAGATION WITH VERTICULTURE TECHNIQUES IN EFFORTS TO OVERCOME LAND DYSFUNCTIONAL IN EAST SURABAYA AREA." Darmabakti Cendekia: Journal of Community Service and Engagements 2, no. 2 (April 28, 2021): 58. http://dx.doi.org/10.20473/dc.v2.i2.2020.58-61.
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Background: Keputih Village is located in eastern Surabaya. The boundary of this village is the river. Areas on the river banks are overgrown with wild plants and poorly maintained. One way to overcome the dysfunctional land around the river is by cultivating medicinal plants with verticulture techniques. Purpose: The implementation of this program is to overcome the dysfunctional land around the Keputih Village’s river by cultivating medicinal plants in verticulture techniques and provide training in the manufacture of herbal products from the cultivation of medicinal plants and provide financial management training to the local residents. Methods: This activity was carried out in 4 stages. Phase I was training in making pots and verticulture shelves as well as planting medicinal plants, Phase II was mentoring in the field, Phase III was training on making herbal products from plants and training on simple bookkeeping, Phase IV was product display. Results: Based on the results of this training showed that the knowledge of the participants related to the training material has increased which shown from the results of the posttest with average of 79,31 and product display. Conclusion: In this activity, beside gaining knowledge, participants can apply this knowledge to increase family income.
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Fabiawari, Fomsi Esther, and Charles-Ogan Gladys Ibibo. "Professional Development of Women in Information and Communication Technologies (ICTS) Centres in Universities in Rivers State." Journal of Advances in Education and Philosophy 7, no. 03 (March 27, 2023): 100–109. http://dx.doi.org/10.36348/jaep.2023.v07i03.007.
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Professional development of women in ICT is very crucial for sustainable development of a nation. However, the gender divide in terms of digital technologies has always been a problem. The aim of this study is to determine if women who work in University ICT centres in Rivers State are given the opportunity to develop themselves professionally. The study adopts the descriptive survey research design. The sample size constitutes twenty women from the three Universities in River State namely: University of Port Harcourt, River State University (RSU), and Ignatius Ajuru University of Education (IAUOE). The instrument for data collection was a questionnaire that assessed the professional development of women in ICT in terms of trainings attended, age and educational qualifications. The face and content validity of the questionnaire was determined by experts in ICT and the field of measurement and evaluation. The reliability of the questionnaire was analysed using the Cronbach alpha technique with an overall reliability of 0.83. The research questions were answered using simple percentages, mean and standard deviation. While the hypotheses were analysed using Chi square. Findings revealed that more of middle-aged women attend ICT training (ages 36-45), followed by younger women (ages 25 – 35) and then 46 above, gender does not significantly influence attendance to ICT trainings, but males and females attending ICT training is dependent on age. It is thus recommended that all women who work in ICT centres in Universities should be given equal opportunities to attend trainings for professional development irrespective of their age and educational qualifications.
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Liu, Rui, Er Rui Peng, and Qiang Fan. "Research and Application in Ecological Revetment of the Mountain River." Advanced Materials Research 955-959 (June 2014): 3130–33. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.3130.
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According to the characteristics of the mountain river, we explore new methods of river ecological studies in mountain revetment application. As the existing river training measures based mainly on engineering, it makes the linear shape of the river, the rules section of the river, revetment material hardening of the river. While increasing the river's flood drainage capacity, it destroyed the river's natural ecosystem. This paper presents an ecological revetment method combine chain-typed concrete with sash concrete, achieving better results in the application of Shikui River training works, it not only meets the requirements of flood control embankment, but also reduces soil erosion, while keeping biological diversity, and sustaining use of water resources. It has a good prospect in the maintenance of ecologically sustainable development in the environment engineering construction.
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Flores, NatashaY, Frank P. L. Collas, and Rob S. E. W. Leuven. "3D upstream passability of novel river training structures by migratory fish in the river Waal." Knowledge & Management of Aquatic Ecosystems, no. 423 (2022): 22. http://dx.doi.org/10.1051/kmae/2022019.
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Longitudinal training dams (LTDs) are novel river training structures that divide a river into a main navigation channel and protected shore channels. High velocities at the inflows of shore channels constructed in the river Waal (The Netherlands) pose a potential bottleneck for migratory fish species swimming upstream. This study assessed the passability of the inflows using flow velocity datasets from governmental monitoring campaigns collected with an ADCP during high river discharges (Q = 3489–5066 m3/s at Lobith monitoring station). The swimming performance of several migratory fish species were estimated from their total lengths (TLs). A new 3D approach to visualize the flow velocity data using Voxler® software is presented. Gasterosteus aculeatus aculeatus was the only fish species with an adult life stage unable to pass the 9 cases tested due to its small size. The juvenile European eel and thicklip grey mullet passed 1 and 0 of the cases, respectively. The most upstream inflow, located in the inner bend of the river, was the most passable. We recommend maximizing the cross-sectional area of the inflow sills in order to reduce the flow velocities experienced by migrating fish during high river discharges. This approach may be useful to assess passability at other locations and training structures.
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Firat, M. "Artificial Intelligence Techniques for river flow forecasting in the Seyhan River Catchment, Turkey." Hydrology and Earth System Sciences Discussions 4, no. 3 (June 6, 2007): 1369–406. http://dx.doi.org/10.5194/hessd-4-1369-2007.
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Abstract. The use of Artificial Intelligence methods is becoming increasingly common in the modeling and forecasting of hydrological and water resource processes. In this study, applicability of Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) methods, Generalized Regression Neural Networks (GRNN) and Feed Forward Neural Networks (FFNN), for forecasting of daily river flow is investigated and the Seyhan catchment, located in the south of Turkey, is chosen as a case study. Totally, 5114 daily river flow data are obtained from river flow gauges station of Üçtepe (1818) on Seyhan River between the years 1986 and 2000. The data set are divided into three subgroups, training, testing and verification. The training and testing data set include totally 5114 daily river flow data and the number of verification data points is 731. The river flow forecasting models having various input structures are trained and tested to investigate the applicability of ANFIS and ANN methods. The results of ANFIS, GRNN and FFNN models for both training and testing are evaluated and the best fit forecasting model structure and method is determined according to criteria of performance evaluation. The best fit model is also trained and tested by traditional statistical methods and the performances of all models are compared in order to get more effective evaluation. Moreover ANFIS, GRNN and FFNN models are also verified by verification data set including 731 daily river flow data at the time period 1998–2000 and the results of models are compared. The results demonstrate that ANFIS model is superior to the GRNN and FFNN forecasting models, and ANFIS can be successfully applied and provide high accuracy and reliability for daily River flow forecasting.
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Li, Zongyu, Zhilin Sun, Jing Liu, Haiyang Dong, Wenhua Xiong, Lixia Sun, and Hanyu Zhou. "Prediction of River Sediment Transport Based on Wavelet Transform and Neural Network Model." Applied Sciences 12, no. 2 (January 10, 2022): 647. http://dx.doi.org/10.3390/app12020647.
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The sedimentation problem is one of the critical issues affecting the long-term use of rivers, and the study of sediment variation in rivers is closely related to water resource, river ecosystem and estuarine delta siltation. Traditional research on sediment variation in rivers is mostly based on field measurements and experimental simulations, which requires a large amount of human and material resources, many influencing factors and other restrictions. With the development of computer technology, intelligent approaches have been applied to hydrological models to establish small information in river areas. In this paper, considering the influence of multiple factors on sediment transport, the validity of predicting sediment transport combined with wavelet transforms and neural network was analyzed. The rainfall and runoff cycles are extracted and decomposed into time series sub-signals by wavelet transforms; then, the data post-processing is used as the neural network training set to predict the sediment model. The results show that wavelet coupled neural network model effectively improves the accuracy of the predicted sediment model, which can provide a reference basis for river sediment prediction.
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TERAGUCHI, Hiroshi, Hajime NAKAGAWA, Kenji KAWAIKE, Yasuyuki BABA, and Hao ZHANG. "ALTERNATIVE METHOD FOR RIVER TRAINING WORKS: BANDAL-LIKE STRUCTURES." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 67, no. 4 (2011): I_151—I_156. http://dx.doi.org/10.2208/jscejhe.67.i_151.
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Field-Juma, Alison, and Nancy Roberts-Lawler. "Using Partnerships and Community Science to Protect Wild and Scenic Rivers in the Eastern United States." Sustainability 13, no. 4 (February 16, 2021): 2102. http://dx.doi.org/10.3390/su13042102.
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The Musconetcong (New Jersey) and the Sudbury-Assabet-Concord (Massachusetts) are federally-designated Partnership Wild and Scenic Rivers, a model for river conservation under the Wild and Scenic Rivers Act. These two rivers are embedded in a patchwork of private and public land ownership. The Act has been used to facilitate partnerships among municipal, state, federal and local non-profit actors to implement river conservation plans. These partnerships have supported community science-based monitoring to make the case for dam removal and stricter water pollution controls. Two case studies examine using community science to provide actionable data to decision-makers. In New Jersey, a documented increase in macroinvertebrates post-dam removal supported additional dam removals, leading to the return of American shad to the river. Quality controls and training proved to be key components. In Massachusetts, stricter effluent discharge permits reduced instream Total Phosphorus from 0.8 mg/L in 1999 to the eutrophication threshold of 0.023–0.05 mg/L. Community engagement in river science and stewardship was an important co-benefit. As many US rivers evolve from generating hydropower and conveying waste into major recreational resources, local organizations are uniquely positioned to engage the public and generate quality-controlled data to use in advocating for major improvements in water and habitat quality. Useful policy and regulatory frameworks for broader applicability are suggested.
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Cardi, Jean, Antony Dussel, Clara Letessier, Isa Ebtehaj, Silvio Jose Gumiere, and Hossein Bonakdari. "Modeling Hydrodynamic Behavior of the Ottawa River: Harnessing the Power of Numerical Simulation and Machine Learning for Enhanced Predictability." Hydrology 10, no. 9 (August 24, 2023): 177. http://dx.doi.org/10.3390/hydrology10090177.
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The Ottawa River Watershed is a vast area that stretches across Ontario and Quebec and holds great importance for Canada’s people, economy, and collective history, both in the present and the future. The river has faced numerous floods in recent years due to climate change. The most significant flood occurred in 2019, surpassing a 100-year flood event, and serves as a stark reminder of how climate change impacts our environment. Considering the limitations of machine learning (ML) models, which heavily rely on historical data used during training, they may struggle to accurately predict such “non-experienced” or “unseen” floods that were not encountered during the training process. To tackle this challenge, our study has utilized a combination of numerical modeling and ML to create an integrated methodology. Indeed, a comprehensive dataset of river flow discharge was generated using a numerical model, encompassing a wide range of potential future floods. This significantly improved the ML training process to generalize the accuracy of results. Utilizing this dataset, a novel ML model called the Expanded Framework of Group Method of Data Handling (EFGMDH) has been developed. Its purpose is to provide decision-makers with explicit equations for estimating three crucial hydrodynamic characteristics of the Ottawa River: floodplain width, flow velocity, and river flow depth. These predictions rely on various inputs, including the location of the desired cross-section, river slope, Manning roughness coefficient at different river sections (right, left, and middle), and river flow discharge. To establish practical models for each of the aforementioned hydrodynamic characteristics of the Ottawa River, different input combinations were tested to identify the most optimal ones. The EFGMDH model demonstrated high accuracy throughout the training and testing stages, achieving an R2 value exceeding 0.99. The proposed model’s exceptional performance demonstrates its reliability and practical applications for the study area.
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Faghihirad, Shervin, Mohammad Kolahdoozan, and Hossein Sharifimanesh. "Economic evaluation on cost of river training works (case study: Qezel-Ozan river in Iran)." International Journal of River Basin Management 18, no. 4 (April 5, 2019): 415–20. http://dx.doi.org/10.1080/15715124.2019.1599006.
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Firat, M. "Comparison of Artificial Intelligence Techniques for river flow forecasting." Hydrology and Earth System Sciences 12, no. 1 (January 30, 2008): 123–39. http://dx.doi.org/10.5194/hess-12-123-2008.
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Abstract. The use of Artificial Intelligence methods is becoming increasingly common in the modeling and forecasting of hydrological and water resource processes. In this study, applicability of Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) methods, Generalized Regression Neural Networks (GRNN) and Feed Forward Neural Networks (FFNN), and Auto-Regressive (AR) models for forecasting of daily river flow is investigated and Seyhan River and Cine River was chosen as case study area. For the Seyhan River, the forecasting models are established using combinations of antecedent daily river flow records. On the other hand, for the Cine River, daily river flow and rainfall records are used in input layer. For both stations, the data sets are divided into three subsets, training, testing and verification data set. The river flow forecasting models having various input structures are trained and tested to investigate the applicability of ANFIS and ANN and AR methods. The results of all models for both training and testing are evaluated and the best fit input structures and methods for both stations are determined according to criteria of performance evaluation. Moreover the best fit forecasting models are also verified by verification set which was not used in training and testing processes and compared according to criteria. The results demonstrate that ANFIS model is superior to the GRNN and FFNN forecasting models, and ANFIS can be successfully applied and provide high accuracy and reliability for daily river flow forecasting.
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Liu, Chao, Hui He, Xiao Hui Tan, Ai Li Gao, and Song Xue. "Establishment and Application of Water Quality Assessment Model for Jiaozhou Bay Basin." Advanced Materials Research 518-523 (May 2012): 1165–70. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.1165.
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In this paper, a comprehensive water quality assessment model for the seagoing rivers of the Jiaozhou Bay basin was established based on a BP neural network. In the situation investigation, a list of main assessment indexes was selected, comprising COD, permanganate, DO, ammonia, volatile hydroxybenzene and mineral oil. Then Environmental Quality Standards for Surface Water was used as the training sample and comprehensive assessment was conducted for the rivers. In Comparison with results from the conventional single-factor assessment method, this model not only responded to the comprehensive river water quality status, but also improved the speed and effectiveness of training, saving time and increasing accuracy of the assessment model through a series of design optimizations.
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Kirana, Ade, and Sani Sufyan Bature. "Socialization of Natural Disaster Mitigation to Minimize the Impact of the Risk of Economic Loss in the Citarum River Basin (DAS) West Bandung Regency." International Journal of Research in Community Services 3, no. 4 (November 4, 2022): 120–26. http://dx.doi.org/10.46336/ijrcs.v3i4.339.
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Flood is the flow of water at the ground surface that is relatively high and cannot be accommodated by drainage canals or rivers, causing inundation in an amount that exceeds normal and causes harm to humans. This flood disaster usually occurs in the lowlands around rivers, especially rivers that have various environmental problems such as factory waste, plastic waste, soil erosion, and so on. One of the rivers that often experience these flood events is the Citarum River, where the river has the title of the dirtiest river in the world. In order to reduce the impact caused by flooding, a Real Work Lecture (KKN) program was held by conducting community service regarding natural disaster mitigation training as an effort to minimize the impact of the risk of economic loss in the Citarum River basin, West Bandung Regency. The program is aimed at SMPN 1 CIhampelas students who are geographically close to the Citarum watershed. The method used is materialization regarding environmental problems in the Citarum watershed, the causes, and effects of flooding and its prevention, and disaster mitigation carried out when a flood occurs. After conducting the materialization, students were asked to discuss and explain how to mitigate floods when they occur at the school. Based on the results of the materials and tests carried out, it was found that students succeeded in conducting presentations on flood disaster mitigation, understanding the causes and effects of floods and how to prevent them, and understanding the importance of preserving the environment, especially in the Citarum River basin.
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Islam, A. S. "Improving flood forecasting in Bangladesh using an artificial neural network." Journal of Hydroinformatics 12, no. 3 (November 11, 2009): 351–64. http://dx.doi.org/10.2166/hydro.2009.085.
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A river stage neural network model has been developed to study and predict the water level of Dhaka city. A total of five stations located at the border area of Bangladesh on the Ganges, Brahmaputra and Meghna rivers are selected as input nodes and Dhaka on the Buriganga river is the output node for the neural network. This model is trained with river stage data for a period of 1998 to 2004 and validated with data from 2005 to 2007. The river stage of Dhaka has been predicted for up to ten days with very high accuracy. Values of R2, root mean square and mean absolute error are found ranging from 0.537 to 0.968, 0.607 m to 0.206 m and 0.475 m to 0.154 m, respectively, during training and validation of the model. The results of this study can be useful for real-time flood forecasting by reducing computational time, improving water resources management and reducing the unnecessary cost of field data collection.
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Łajczak, Adam. "Changes in flood risk impacted by river training – case study of piedmont section of the Vistula river." Annals of Warsaw University of Life Sciences, Land Reclamation 46, no. 4 (December 1, 2014): 317–35. http://dx.doi.org/10.1515/sggw-2015-0006.
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Abstract Changes in flood risk impacted by river training - case study of piedmont section of the Vistula river. Main problems concerning the flood risk in piedmont section of the Vistula, Southern Poland, are discussed. This stretch of the river is channelized since the middle of the 19th century. It is part of the mainstream discussion of the effectiveness of existing river channelization methods. The following problems are analysed: (1) current state of flood risk, (2) the rate of river flow, (3) changes in flood risk since the start of channelization efforts with respect to changing channel geometry and changing rates of river flow reflecting the effects of channelization work. Substantially increased bankfull discharge in a channelized river may be considered as a stable hydrologic feature of the river stretch analysed. This means that the river is effectively reducing the quantity of water available for flooding the inter-embankment zone. This statement is the basis for analysis of changes in flood risk in the river studied. An assessment of changes in flood risk for the piedmont section of the Vistula cannot be categorical. Some changes in discharge help reduce flood risk, while others increase it. The paper is based mainly on the State Hydrological Survey data over more than the last 100 years, a large-scale maps over the last 230 years, and fieldwork conducted by the author.
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Costa Silva, Diogo F., Arlindo R. Galvão Filho, Rafael V. Carvalho, Filipe de Souza L. Ribeiro, and Clarimar J. Coelho. "Water Flow Forecasting Based on River Tributaries Using Long Short-Term Memory Ensemble Model." Energies 14, no. 22 (November 17, 2021): 7707. http://dx.doi.org/10.3390/en14227707.
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Water flow forecasts are an essential information for energy production, management and hydropower control. Advanced actions to optimize electricity production can be taken based on predicted information. This work proposes an ensemble strategy using recurrent neural networks to generate a forecast of water flow at Jirau Hydroelectric Power Plant (HPP), installed on the Madeira River in Brazil. The ensemble strategy consists of combining three long short-term memory (LSTM) networks that model the Madeira River and two of its tributaries: Mamoré and Abunã rivers. The historical data from streamflow of the Madeira river and its tributaries are used to validate the ensemble LSTM model, where each time series of river tributaries are modeled separated by LSTM models and the result used as input for another LSTM model in order to forecast the streamflow of the main river. The experimental results present low errors for training and test sets for individual LSTM networks and ensemble model. In addition, these results were compared with the operational forecasts performed by Jirau HPP. The proposed model showed better accuracy in four of the five scenarios tested, which indicates a promising approach to be explored in water flow forecasting based on river tributaries.