Rainfall Runoff Modelling In Gauged And Ungauged Catchments 1st Edition by Thorsten Wagener, Howard Wheater, Hoshin Vijai Gupta ISBN 1860944663 9781860944666

Rainfall Runoff Modelling In Gauged And Ungauged Catchments 1st Edition by Thorsten Wagener, Howard Wheater, Hoshin Vijai Gupta – Ebook PDF Instant Download/Delivery: 1860944663, 9781860944666
Full download Rainfall Runoff Modelling In Gauged And Ungauged Catchments 1st Edition after payment

Product details:

ISBN 10: 1860944663 
ISBN 13: 9781860944666
Author: Thorsten Wagener, Howard Wheater, Hoshin Vijai Gupta

Rainfall Runoff Modelling In Gauged And Ungauged Catchments 1st Table of contents:

1. Introduction
1.1 Rainfall-Runoff Modelling in Context
1.2 Problem Analysis
1.3 Conclusions and Resulting Research Objectives
1.4 Organization of Monograph
2. Rainfall-Runoff Modelling – A Review
2.1 Introduction
2.2 The Principle of Parsimony in Hydrological Modelling
2.3 The Rainfall-Runoff Process
2.4 Structural Representation in Parsimonious Models
2.4.1 Soil moisture accounting
2.4.2 Routing
2.5 Local Modelling Procedures
2.5.1 Model structure selection
2.5.2 Sensitivity analysis
2.5.3 Calibration
2.5.3.1 Objective function
2.5.3.2 Calibration data
2.5.3.3 Adjustment strategy
2.5.3.4 Termination criteria
2.5.4 Validation
2.5.5 Prediction – including uncertainty
2.6 Regional Modelling Procedures
2.6.1 Catchment and characteristics selection
2.6.2 Local model structure selection and calibration
2.6.3 Regional model structure selection and calibration
2.6.4 Flow prediction at an ungauged site
2.6.5 Variations on conventional regional procedures
2.6.5.1 Integrated procedure
2.6.5.2 Sequential procedure
2.6.5.3 Indirect procedure
2.7 Summary and Conclusions
3. A Toolkit for Rainfall-Runoff Modelling
3.1 Introduction
3.2 Rainfall-Runoff Modelling Toolbox
3.2.1 General
3.2.2 System architecture
3.2.3 Soil moisture accounting modules
3.2.4 Routing modules
3.2.5 Optimization modules
3.2.6 Objective functions
3.2.7 Visual analysis modules
3.2.8 Summary
3.3 Monte Carlo Analysis Toolbox
3.3.1 General
3.3.2 System architecture
3.3.3 Parameter sensitivity and identifiability
3.3.4 Model structure suitability
3.3.5 Prediction uncertainty
3.3.6 Summary
3.4 Application Example – Complexity Versus Identifiability
3.5 Summary and Conclusions
4. Modelling Gauged Catchments – Local Procedures
4.1 Introduction
4.2 Identification of Conceptual Rainfall-Runoff Models
4.2.1 Identification of model structures
4.2.2 Identification of parameters
4.3 Evaluation of Conceptual Rainfall-Runoff Models
4.3.1 Evaluation of competing model structures – Multi-objective performance and identifiability a
4.3.1.1 Measures of performance and identifiability
4.3.1.2 Multi-objective framework
4.3.2 Evaluation of individual model structures – Dynamic identifiability analysis
4.3.2.1 Failure, inference and improved hypotheses
4.3.2.2 Dynamic identifiability analysis
4.3.3 A combined framework of corroboration and rejection
4.4 Application Examples
4.4.1 Example 1 – Multi-objective performance and identifiability analysis
4.4.1.1 Data
4.4.1.2 Model structure and calibration tools
4.4.1.3 Methodology
4.4.1.4 Results and discussion
4.4.2 Example 2 – Dynamic identifiability analysis
4.4.2.1 Data
4.4.2.2 Model structure
4.4.2.3 Results and discussion
Traditional Monte Carlo sampling
Information content
Dynamic identifiability and structural failure
Inference and areas of possible model structure improvement
4.4.3 Example 3 – Application of combined framework
4.4.3.1 Data
4.4.3.2 Model structures
4.4.3.3 Methodology
4.4.3.4 Results and discussion
4.5 Summary and Conclusions
5. Modelling Ungauged Catchments – Regional Procedures
5.1 Introduction
5.2 The Idea of Regionalization
5.3 Problems and Possible Ways Forward
5.3.1 Catchments, their characteristics and clusters
5.3.2 Local model
5.3.3 Regional model
5.3.3.1 Univariate regression
5.3.3.2 ‘Correlated’ regression
5.3.3.3 Generalized regression – radial basis neural networks
5.3.3.4 Symbolic regression – genetic programming
5.3.3.5 Univariate weighted regression
5.3.3.6 Conclusions
5.3.4 Regional procedure
5.3.4.1 Combined procedure
5.3.4.2 Sequential procedure
5.3.4.3 Updating procedure
5.3.4.4 Conclusions
5.3.5 Flow prediction – including uncertainty
5.3.5.1 Monte Carlo
5.3.5.2 Fuzzy regression
5.3.5.3 Conclusions
5.3.6 Uniqueness of place
5.4 A Framework for Regionalization
5.5 Application Example
5.5.1 Data
5.5.2 Catchment characteristics
Landform
Climate and soil
Urban and suburban
5.5.3 Local model
Local modelling approach
Initial local model structure
Alternative local model structures and models
5.5.4 Regional model
5.5.4.1 Variable properties and correlation analysis
5.5.4.2 Effect of using FH and FL
5.5.4.3 Regional structures and performance criteria
5.5.4.4 Multiple univariate regression – benchmark
5.5.4.5 Multiple weighted univariate regression – considering identifiability
5.5.4.6 Generalized regression
5.5.5 Alternative regional procedure
5.5.5.1 Sequential procedure
5.5.6 Test catchment performance including flow prediction
5.5.6.1 Comparison with test catchment
5.5.6.2 Flow prediction
5.6 Summary and Conclusions
6. Discussion, Conclusions and Recommendations for Future Research
6.1 Discussion and Conclusions
6.1.1 General
6.1.2 Discussion and conclusions with respect to the toolkit
6.1.3 Discussion and conclusions with respect to local modelling
6.1.4 Discussion and conclusions with respect to regional modelling
6.2 Recommendations for Future Research
6.2.1 Recommendations with respect to the toolkit
6.2.2 Recommendations with respect to local modelling
6.2.3 Recommendations with respect to regional modelling

People also search for Rainfall Runoff Modelling In Gauged And Ungauged Catchments 1st:

rainfall runoff modelling in gauged ungauged catchments
    
rainfall runoff modelling in gauged and ungauged catchments
    
rainfall-runoff modeling of ungauged catchments
    
rainfall runoff
    
rainfall runoff simulation

Tags: Thorsten Wagener, Howard Wheater, Hoshin Vijai Gupta, Rainfall Runoff