Rainfall-runoff modelling in gauged and ungauged catchments / Thorsten Wagener, Howard S. Wheater, Hoshin V. Gupta.

By:

Wagener, Thorsten

Contributor(s):

Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

1860945392
9781860945397
9781860944666
1860944663

Other title:

Rainfall-runoff modeling in gauged and ungauged catchments

Subject(s): Genre/Form:

Additional physical formats: Print version:: Rainfall-runoff modelling in gauged and ungauged catchments.DDC classification:

551.488 22

LOC classification:

QC925 .W33 2004eb

Other classification:

P332. 1

Online resources:

Click here to access online

Contents:

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

Summary: 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.

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Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references (pages 273-300) and index.

Print version record.

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.

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