https://scholars.lib.ntu.edu.tw/handle/123456789/597985
標題: | Development of a backward–forward stochastic particle tracking model for identification of probable sedimentation sources in open channel flow | 作者: | Liu C.C.-H Tsai C.W Huang Y.-Y. WAN-SHAN TSAI |
關鍵字: | Concentration distribution;Diffusivity;Particle tracking model;Probable source;Sediment particle movement;Stochastic model | 公開日期: | 2021 | 卷: | 9 | 期: | 11 | 來源出版物: | Mathematics | 摘要: | As reservoirs subject to sedimentation, the dam gradually loses its ability to store water. The identification of the sources of deposited sediments is an effective and efficient means of tack-ling sedimentation problems. A state-of-the-art Lagrangian stochastic particle tracking model with backward–forward tracking methods is applied to identify the probable source regions of deposited sediments. An influence function is introduced into the models to represent the influence of a particular upstream area on the sediment deposition area. One can then verify if a specific area might be a probable source by cross-checking the values of influence functions calculated backward and forward, respectively. In these models, the probable sources of the deposited sediments are considered to be in a grid instead of at a point for derivation of the values of influence functions. The sediment concentrations in upstream regions must be known a priori to determine the influence functions. In addition, the accuracy of the different types of diffusivity at the water surface is dis-cussed in the study. According to the results of the case study of source identification, the regions with higher sediment concentrations computed by only backward simulations do not necessarily imply a higher likelihood of sources. It is also shown that from the ensemble results when the ensemble mean of the concentration is higher, the ensemble standard deviation of the concentration is also increased. ? 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107903496&doi=10.3390%2fmath9111263&partnerID=40&md5=2da27f077835666b13bc46e5626cea66 https://scholars.lib.ntu.edu.tw/handle/123456789/597985 |
ISSN: | 22277390 | DOI: | 10.3390/math9111263 |
顯示於: | 土木工程學系 |
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