https://scholars.lib.ntu.edu.tw/handle/123456789/438191
標題: | A stochastic framework for modeling random-sized batch arrivals of sediment particles into open channel flows | 作者: | Tsai, C.W. Hung, S.Y. Oh, J. WAN-SHAN TSAI |
關鍵字: | Particle tracking model; Random arrival processes; Risk assessment; Sediment transport; Stochastic method | 公開日期: | 2018 | 卷: | 32 | 期: | 7 | 起(迄)頁: | 1939-1954 | 來源出版物: | Stochastic Environmental Research and Risk Assessment | 摘要: | Arrivals of sediment particles into open channel flows are typically simulated deterministically. However, there are random quantities of sediment particles brought into the open channel by natural phenomena such as rainfalls, landslides, mudflows, and dam breaches. As such, sediment particles may arrive at channel flow at random times in probabilistic quantities. Such arrival processes of sediment particles cannot be fully described without using probability. A stochastic framework that can account for the arrivals of random-sized batches of sediment particles into receiving waters is proposed. In this work, the random-sized batch arrival process of sediment particles is introduced to evaluate comprehensively the effects of particle arrival patterns, including random occurrences and random quantities of incoming sediment particles, on particle transport rates and sediment concentrations. Random arrivals are simulated as a Poisson process and the number of sediment particles in each arriving batch is described by a stochastic process that is specified in terms of binomially distributed random variables herein. The stochastic diffusion particle tracking model is used to simulate random trajectories of moving particles. Particle deposition and resuspension processes are considered. A probabilistic description of discrete sediment transport based on ensemble statistics of sediment concentrations and transport rates is presented. Simulation results are validated with experimental observations. Finally, time-dependent risks (i.e., probability of exceeding a pre-established turbidity standard with respect to time) are provided for decision makers to have a more comprehensive assessment for water quality management. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/438191 | DOI: | 10.1007/s00477-018-1529-x | SDG/關鍵字: | Decision making; Landslides; Quality management; Random processes; Risk assessment; Sediment transport; Sedimentation; Stochastic models; Stochastic systems; Water conservation; Water management; Water quality; Arrival process; Comprehensive assessment; Distributed random variables; Particle tracking models; Probabilistic descriptions; Sediment concentration; Stochastic framework; Stochastic methods; Open channel flow; model validation; numerical model; open channel flow; particle motion; risk assessment; sediment transport; stochasticity; tracking |
顯示於: | 土木工程學系 |
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