“…Flooding during cold season is very important, therefore determination of the moments of ice formation that could possibly eliminate flooding, due to the decisions taken is also an important task in modelling. For ice formation and based on data availability a 1-D model is sufficient to be used; however, for the determination of the flood extent and time of flood occurrence, a more complex model, such as a 1D-2D, needs to be made available (Gichamo et al, 2013;Shen et al, 2008).…”
Abstract. During winter the Yellow River in China is frequently subjected to ice flood disasters. Possible dike breaking due to ice floods poses a serious threat to the part of the region located along the river, in particular the NingMeng reach (including Ningxia Hui and the Inner Mongolia autonomous regions). Due to its special geographical location and river flow direction, the ice dams and jams lead to dike breaking and overtopping on the embankment, which has resulted in huge casualties and property losses throughout history. Therefore, there is a growing need to develop capability in forecasting and analysing river ice floods. Research into ice floods along the river is taking place at the Yellow River Conservancy Commission (YRCC). A numerical model is one of the essential parts of the current research going on at the YRCC, which can be used to supplement the inadequacies in the field and lab studies which are being carried out to help understand the physical processes of river ice on the Yellow River. Based on the available data about the Ning-Meng reach of the Yellow River, the YRCC river ice dynamic model (YRIDM) has been tested for capabilities to conduct ice flood forecasting. The YRIDM can be applied to simulate water level, discharge, water temperature, and ice cover thickness under unsteady-state conditions. Different scenarios were designed to explore the model uncertainty for two bounds (5 and 95 %) and probability distribution. The YRIDM is an unsteady-state flow model that can show the basic regular pattern of ice floods; hence it can be used as an important tool to support decision making. The recommendation is that data and research should be continued in order to support the model and to measure improvements.
“…Flooding during cold season is very important, therefore determination of the moments of ice formation that could possibly eliminate flooding, due to the decisions taken is also an important task in modelling. For ice formation and based on data availability a 1-D model is sufficient to be used; however, for the determination of the flood extent and time of flood occurrence, a more complex model, such as a 1D-2D, needs to be made available (Gichamo et al, 2013;Shen et al, 2008).…”
Abstract. During winter the Yellow River in China is frequently subjected to ice flood disasters. Possible dike breaking due to ice floods poses a serious threat to the part of the region located along the river, in particular the NingMeng reach (including Ningxia Hui and the Inner Mongolia autonomous regions). Due to its special geographical location and river flow direction, the ice dams and jams lead to dike breaking and overtopping on the embankment, which has resulted in huge casualties and property losses throughout history. Therefore, there is a growing need to develop capability in forecasting and analysing river ice floods. Research into ice floods along the river is taking place at the Yellow River Conservancy Commission (YRCC). A numerical model is one of the essential parts of the current research going on at the YRCC, which can be used to supplement the inadequacies in the field and lab studies which are being carried out to help understand the physical processes of river ice on the Yellow River. Based on the available data about the Ning-Meng reach of the Yellow River, the YRCC river ice dynamic model (YRIDM) has been tested for capabilities to conduct ice flood forecasting. The YRIDM can be applied to simulate water level, discharge, water temperature, and ice cover thickness under unsteady-state conditions. Different scenarios were designed to explore the model uncertainty for two bounds (5 and 95 %) and probability distribution. The YRIDM is an unsteady-state flow model that can show the basic regular pattern of ice floods; hence it can be used as an important tool to support decision making. The recommendation is that data and research should be continued in order to support the model and to measure improvements.
“…According to Shen et al . (, ), the formation of an ice jam is a result of congestion of ice due to the convergence of ice flow. In the 1980s thought, that a critical velocity criterion is commonly used to determine the limiting thickness of frazil depositions.…”
Section: Introductionmentioning
confidence: 97%
“…A number of international authors argue, on the basis of both laboratory analyses and field studies, that the sinuosity of a river's channel is a significant parameter in the process of ice accumulation and development of ice jams (Johnson and Kotras, 1980;Urroz and Ettema, 1994). According to Shen et al (1990Shen et al ( , 2008, the formation of an ice jam is a result of congestion of ice due to the convergence of ice flow. In the 1980s thought, that a critical velocity criterion is commonly used to determine the limiting thickness of frazil depositions.…”
“…Therefore, it is equipped with unique advantages of tracking various free surfaces with large deformation and it provides a very promising technique to study the spillway hydraulics. Since its early application in free surface flows [5], SPH has been widely used in the coastal hydraulics [6,7], fluid-structure interactions [8][9][10], multi-phase flows [11,12], dam-break flows [13][14][15], porous flows [16][17][18], and river ice dynamics [19][20][21]. It was found that the SPH method meets with some limitations for the flow with high Reynolds numbers in dam break application but there is no information available on the threshold Re value.…”
Abstract:In this paper, we use the parallel open source code parallelSPHysics based on the weakly compressible Smoothed Particle Hydrodynamics (WCSPH) approach to study a spillway flow over stepped stairs. SPH is a robust mesh-free particle modelling technique and has great potential in treating the free surfaces in spillway hydraulics. A laboratory experiment is carried out for the different flow discharges and spillway step geometries. The physical model is constructed from a prototype reservoir dam in the practical field. During the experiment, flow discharge over the weir crest, free surface, velocity and pressure profiles along the spillway are measured. In the present SPH study, a straightforward push-paddle model is used to generate the steady inflow discharge in front of the weir. The parallelSPHysics model is first validated by a documented benchmark case of skimming flow over a stepped spillway. Subsequently, it is used to reproduce a laboratory experiment based on a prototype hydraulic dam project located in Qinghai Province, China. The detailed comparisons are made on the pressure profiles on the steps between the SPH results and experimental data. The energy dissipation features of the flows under different flow conditions are also discussed. It is shown that the pressure on the horizontal face of the steps demonstrates an S-shape, while on the vertical face it is negative on the upper part and positive on the lower part. The energy dissipation efficiency of the spillway could reach nearly 80%.
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