Rainfall-runoff modelling in gauged and ungauged catchments
- 作者: Wagener, Thorsten.
- 其他作者: Wheater, Howard. , Gupta, Hoshin V.
- 出版: London : Imperial College Press ©2004.
- 稽核項: 1 online resource (xxv, 306 pages) :illustrations.
- 標題: SCIENCE Earth Sciences -- Hydrology. , Rain and rainfall , SCIENCE , Electronic books. , Rain gauges. , Earth SciencesHydrology. , Rain and rainfall Mathematical models. , Earth SciencesLimnology. , Mathematical models. , Electronic book. , Measurement. , Watersheds. , Runoff , SCIENCE Earth Sciences -- Limnology. , Runoff Mathematical models. , Rain and rainfall Measurement. , Runoff Measurement.
- ISBN: 1860944663 , 9781860944666
- ISBN: 1860944663
- 試查全文@TNUA:
- 附註: Includes bibliographical references (pages 273-300) and index. Rainfall -- Runoff Modelling in Gauged and Ungauged Catchments; Acknowledgements; Preface; Contents; Figures; Tables; 1. Introduction; 2. Rainfall-Runoff Modelling -- A Review; 3. A Toolkit for Rainfall-Runoff Modelling; 4. Modelling Gauged Catchments -- Local Procedures; 5. Modelling Ungauged Catchments -- Regional Procedures; 6. Discussion, Conclusions and Recommendations for Future Research; Appendix A -- Some Investigations into Regional Modelling; Appendix B -- The Rainfall-Runoff Modelling Toolbox; Appendix C -- The Monte Carlo Analysis Toolbox; Notation; Bibliography; Index; About the Authors
- 摘要: This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab® modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability ap.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=130008
- 系統號: 005321571
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab? modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability approach has been developed for the gauged catchment case. The theory underlying the application of rainfall-runoff models for predictions in ungauged catchments is studied, problems are highlighted and promising ways to move forward are investigated. Modelling frameworks for both gauged and ungauged cases are developed. This book presents the first extensive treatment of rainfall-runoff model identification in gauged and ungauged catchments.
來源: Google Book
來源: Google Book
評分