請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56826
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 游景雲 | |
dc.contributor.author | Li-Wen Huang | en |
dc.contributor.author | 黃麗文 | zh_TW |
dc.date.accessioned | 2021-06-16T05:50:56Z | - |
dc.date.available | 2017-08-12 | |
dc.date.copyright | 2014-08-12 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-08-08 | |
dc.identifier.citation | Battaglia, F. (1986). Modelli stocastici per la rappresentazione e la previsione dei deflussi: Dipartimento di statistica, probabilita e statistiche applicate, Universita di Roma La Sapienza.
Beard, L. R. (1968). Simulation of Daily Streamflow. Claps, P., Giordano, A., & Laio, F. (2005). Advances in shot noise modeling of daily streamflows. Advances in water resources, 28(9), 992-1000. Claps, P., & Murrone, F. (1994). Optimal parameter estimation of conceptually-based streamflow models by time series aggregation Stochastic and statistical methods in hydrology and environmental engineering (pp. 421-434): Springer. Claps, P., Rossi, F., & Vitale, C. (1993). Conceptual‐stochastic modeling of seasonal runoff using autoregressive moving average models and different scales of aggregation. Water Resources Research, 29(8), 2545-2559. Cullmann, J., Krausse, T., & Philipp, A. (2009). Communicating flood forecast uncertainty under operational circumstances. Journal of Flood Risk Management, 2(4), 306-314. Green, N. (1973). A synthetic model for daily streamflow. Journal of Hydrology, 20(4), 351-364. Hino, M., & Hasebe, M. (1981). Analysis of hydrologic characteristics from runoff data-A hydrologic inverse problem. Journal of Hydrology, 49(3), 287-313. Hino, M., & Hasebe, M. (1984). Identification and prediction of nonlinear hydrologic systems by the filter-separation autoregressive (AR) method: extension to hourly hydrologic data. Journal of Hydrology, 68(1), 181-210. Kron, W., Plate, E., & Ihringer, J. (1990). A model for the generation of simultaneous daily discharges of two rivers at their point of confluence. Stochastic Hydrology and Hydraulics, 4(4), 255-276. Lai, Y. G. (1997). An unstructured grid method for a pressure-based flow and heat transfer solver. Numerical Heat Transfer, 32(3), 267-281. Lai, Y. G. (2000). Unstructured grid arbitrarily shaped element method for fluid flow simulation. AIAA journal, 38(12), 2246-2252. Lai, Y. (2008). SRH-2D version 2: Theory and User’s Manual. Sedimentation and River Hydraulics–Two-Dimensional River Flow Modeling, US Department of Interior, Bureau of Reclamation, November. Moges, E. M. (2010). Evaluation of Sediment Transport Equations and Parameter Sensitivity Analysis Using the SRH-2D Model. MS Thesis in Universitat Stuttgart. Murrone, F., Rossi, F., & Claps, P. (1997). Conceptually-based shot noise modeling of streamflows at short time interval. Stochastic Hydrology and Hydraulics, 11(6), 483-510. Salas, J. D. (1993). Analysis and modeling of hydrologic time series. Handbook of hydrology, 19, 1-72. Stedinger, J. R., & Taylor, M. R. (1982). Synthetic streamflow generation: 1. Model verification and validation. Water Resources Research, 18(4), 909-918. Treiber, B., & Plate, E. J. (1977). A STOCHASTIC MODEL FOR THE SIMULATION OF DAILY FLOWS / Modele stochastique pour la simulation des debits journaliers. Hydrological Sciences Bulletin, 22(1), 175-192. doi: 10.1080/02626667709491703 Tung, Y.-K. (2002). Keynote lecture: Risk-based design of flood defense systems. Flood defence, 71-81. Wagener, T., Wheater, H. S., & Gupta, H. V. (2004). Rainfall-runoff modelling in gauged and ungauged catchments. Wang, R. J. (2013). 序率水文條件下壩體移除後河川形貌變遷之模擬分析. 臺灣大學. Available from Airiti AiritiLibrary database. (2013年) Wang, Z.-M., & Vandewiele, G. (1994). Stochastic simulation of streamflow with short time interval Coping with floods (pp. 257-269): Springer. Weiss, G. (1977). Shot noise models for the generation of synthetic streamflow data. Water Resources Research, 13(1), 101-108. doi: 10.1029/WR013i001p00101 王瀅婷. (2010). 巴陵壩潰壩後對上游河床變遷影響之研究. 臺灣大學土木工程學研究所學位論文, 1-93. 李聖文. (2011). 巴陵壩潰壩後河床形貌變遷行為之研究. 臺灣大學土木工程學研究所學位論文, 1-82. 林欣怡. (2009). 防砂壩移除對河床變遷影響之研究-以巴陵壩為例. 臺灣大學土木工程學研究所學位論文, 1-91. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56826 | - |
dc.description.abstract | 壩體移除會造成一系列的地形,地貌、泥砂運移、深槽線等變化。在研究上,應用解析方法計算泥砂量,並且提供一個概念性預測地貌變化。現今電腦科技的發達,利用一維水理以及輸砂數值模式模擬拆壩後的反應已經廣泛被接受。但一維模式在模擬當中使用平均的概念以至於無法全面的了解地形的演變。故,本研究採用二維水理輸砂模式(SRH-2D)應用在七家灣溪拆壩案例上。SRH-2D是由美國墾務局開發的二維水理輸砂軟體,數值方法使用平均深度的二維聖凡那方程式,可以計算穩態、非穩態、總輸沙量,以及提供多種輸砂公式。本研究認為壩體移除後,河川地貌影響的主要控制因素為水文條件,因此由Shot noise model建立序率水文合成序列,並結合定率水理輸砂軟體,利用過去實測流量資料找出該區域之的水文特性,基於序率水文條件探討壩體移除後河相改變,以序率的形式描述來自水文不確定性下的河川地貌變化,結果討論短、長時間下平均深度、深槽線、土方量的變化,並且用超越機率表示地形的變化。 | zh_TW |
dc.description.abstract | Dam removal will result in a series of river terrain changes, migration of sediment and other changes in river morphology. In recent, with the state of the art, utilizing one-dimensional hydraulic and sediment transport model to simulate the response after dam removal is common and widely accepted. However, it is highly limited in the model assumption and capacity and not able to provide a comprehensive analysis of channel evolution. On the other hand, an important factor dominates geomorphology after dam removal is hydrologic condition, most time is the discharge in channel. In hydrology, the uncertainty exists naturally, so cannot ideally be determined. Uncertainty is usually caused from high variance of hydrological phenomena in space, and leads to difference between simulation and real situation.
This study applies stochastic hydrological simulation and 2-dimenisonal hydraulic and sediment transport model to analysis channel morphology after dam removal. This study not only makes effort to evaluate to possibility of application of SRH-2D in dam removal simulations, which is a two-dimensional hydraulic, sediment, temperature, and vegetation model for river systems under development at the Bureau of Reclamation. We also combine with deterministic two-dimension hydraulic, sediment model and stochastic synthetic hydrologic time series. Taking the removal of the Chichiawan NO.1 dam as a case study, this study aims to quantify uncertainty of flow condition and has a stochastic prediction with probability of physical response of channel. This research provided a method to stochastically describe channel evolution after dam removal. This method contributes a better understanding in hydrology uncertainty with quantify and probability. The result analysis are compared with filed data and in express of probability, it can extend to discuss uncertainty in dam removal for better decision making. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T05:50:56Z (GMT). No. of bitstreams: 1 ntu-103-R01521311-1.pdf: 15404675 bytes, checksum: 54c0a0c42e7b8709b654d5d09f649c97 (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 中文摘要 i
ABSTRACT ii CONTENTS iv LIST OF FIGURES vi LIST OF TABLES ix Chapter 1 Introduction 1 1.1 Background 1 1.2 Research Objectives 3 1.3 Thesis Organization 5 Chapter 2 Literature Review 6 2.1 Numerical Model of Dam Break 6 2.2 Dam Removal Studies 13 2.3 Hydrological Uncertainty Analysis 14 2.4 Synthetic Hydrologic Time Series 15 Chapter 3 Methodology 18 3.1 The Introduction of Sediment and River Hydraulic-Two-Dimension model (SRH-2D) 19 3.1.1 Hydrodynamic Governing Equations 20 3.1.2 Sediment Transport Simulation Equations 22 3.2 Shot Noise Model 24 Chapter 4 Case Study 27 4.1 Background 28 4.2 Model Development 30 4.2.1 The Field Study 30 4.2.2 The Establishment of Mesh 31 4.2.3 The Hydrology Conditions 33 4.2.4 The Channel Bed Property 35 4.2.5 The Sediment Discharge 37 4.2.6 The Model Calibration 37 4.2.7 The Daily Flow Simulation 43 Chapter 5 Result of Analysis and Discussion 46 5.1 The Average of Bed Elevation 46 5.2 The Average of the Lowest Bed Elevation 48 5.3 The Stochastic Description of the Lowest Bed Elevation 50 5.4 The Comparisons with Stochastic Hydrology 54 5.5 The Variation of Thalweg 60 5.6 Sediment Transportation Quantification 61 Chapter 6 Conclusion and Recommendation 68 6.1 Conclusion 68 6.2 Recommendation 70 REFERENCES 71 APPENDIX 73 | |
dc.language.iso | en | |
dc.title | 序率水文模擬及二維水理輸砂模式於壩移除後
河川形貌變遷分析應用 | zh_TW |
dc.title | The Analysis of Channel Evolution after Dam Removal Combining Two Dimensional Hydraulic Sediment Transport Model and Stochastic Hydrology Simulation | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 孫建平,陳憲宗,施上粟 | |
dc.subject.keyword | 拆壩,不確定性分析,SRH-2D,合成水文序列, | zh_TW |
dc.subject.keyword | Dam removal,Uncertainty,SRH-2D,Synthetic hydrologic sequences, | en |
dc.relation.page | 74 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-08-08 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
顯示於系所單位: | 土木工程學系 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-103-1.pdf 目前未授權公開取用 | 15.04 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。