River engineering

About: River engineering is a research topic. Over the lifetime, 435 publications have been published within this topic receiving 10286 citations. The topic is also known as: Channelisation.

The Impact of River Engineering Works on the Dyje River floodplain in the Czech Republic

Abstract: The article deals with changes to the lower part of the Dyje River floodplain, Czech Republic, caused by river engineering works. It investigates channel changes as well as changes in the number of cut-off meanders (cut-offs), oxbow lakes (oxbows), and pools, focusing on the impact of river engineering works on land use and specific natural conditions of the floodplain. The author begins with a history of river engineering works in the study area and their impact from the perspective of natural conditions and human activities. She then divides the study area into five sections, according to the period when the works were carried out, and examines each one using graphical methods and old maps to determine their morphometric characteristics at different periods. Her research shows a significant shortening of the Dyje, a decrease in its sinuosity, and fluctuations in its surface area and in the number of cut-offs, oxbows, and pools. As regards the natural environment, the engineering works determined a lowering of the water table and some changes in plant species. From the perspective of human activities, in the form of land use changes, the study indicates that there was a significant reduction of meadow and pastureland, an increase in recreational areas, and a decrease in forestland during the period under investigation. Some of these changes—notably the increase of the overall water surface and the decrease of forestland—are a direct result of river engineering works, while others—the ploughing of the floodplain and the spread of recreational areas around reservoirs—are an indirect consequence thereof. (Author’s abstract at The White Horse Press.)

Review on Artificial Bending Cutoff and Regulation of Distorted River Bends

Abstract: The distorted river bends often occurs in the lower reaches of the Yellow River, which poses a great threat to the life and property safety of the people in the beach area. It also brings many difficulties to the safe operation and defense of flood discharge and river regulation projects. Scholars at home and abroad have done a lot of research on the abnormal river regime, and have achieved good results by adopting artificial bending and straightening or river engineering regulation measures to control the distorted river bends. After the artificial cutting of Donglu reached the goal of lowering the Tongguan elevation, but the reasonable cutting ratio, cutting section and other conditions should be chosen to achieve successful cutting and good results. In the future, the occurrence mechanism and evolution rule of abnormal river regime should be discussed deeply, and predictive research should be carried out to eliminate or mitigate the harm of abnormal river regime.

Run of River Bulk Hydroelectric Generation from the Congo River without a Conventional Dam

Abstract: The paper discusses harvesting the Congo River for bulk hydroelectric generation based on run of river, low head generation technology, as employed at the existing Inga 2 power station in the Democratic Republic of Congo. The evolutionary approach builds on existing infrastructure.The results show that the footprint is much smaller than that which employs a conventional dam. The environmental impact is minimized. These collectively will contribute to lower capital costs. In summary, 10,000 cm³/sec of constant river flow will produce 5,000 MW of base power. On average, the constant recorded flow of the river is 30,000 cm³/sec and a total of 15,000 MW of base power generation is possible.

Modelling Stable Alluvial River Profiles Using Back Propagation-Based Multilayer Neural Networks

Abstract: Modelling stable alluvial river profile is one of the most important and challenging issues in river engineering that several studies have been dedicated to it. The main objective of this study is to evaluate the back propagation-based multilayer neural network (BP-MLNN) performance in predicting stable alluvial river profile. We used eighty-five observational datasets to train and test, three separate models to predict each of the channel width (w), flow depth (h) and longitudinal slope (s) of stable channels. The network input parameters are the flow discharge (Q), mean sediment size (d50) and affecting Shields parameter (τ*) and w, h and s parameters are the output. It is concluded from the results that the proposed models to predict the width, depth, and slope of stable channels, with a correlation coefficient (R) of 0.96, 0.886, and 0.870 respectively, perform well. The mean absolute relative error (MARE) value of 0.063 related to the width estimation model in comparison with the depth and slope estimation model with MARE value of 0.077 and 0.518 shows the superior accuracy of the BP-MLNN model. The presented BP-MLNN models in this study are therefore recommended in river engineering projects to estimate the cross-sectional dimensions of stable alluvial channels as simple and robust design tools.