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Book Details
Abstract
River Basin Restoration and Management is the result of two workshops that took place at the 4th IWA World Water Congress: The Restoration of Degraded River Basins and River Basin Management Using Machine Learning. The Restoration of Degraded River Basins set out to share experience in the institutional, policy, and public participation elements of restoration programmes, the 'soft' issues surrounding restoration of a degraded river basin and the development of the river basin plan. The resulting papers include a number of case studies from a variety of river basins in Israel, South Africa, United Kingdom, Australia and Central Europe. The River Basin Management Using Machine Learning workshop highlighted and compared the two different approaches to watershed management: the physically based modelling approach relying on the system physics versus the data driven modelling approach based on exploring the system 'data behaviour'. The workshop was motivated by the recent rapid advance in information processing systems. These have pushed the hydrological research community to explore the possibilities of using intelligent systems aimed at automatically-evolving models of natural phenomena. This is the discipline of machine learning (ML), the study of computer algorithms that improve automatically through experience.
Table of Contents
| Section Title | Page | Action | Price |
|---|---|---|---|
| Contents | 5 | ||
| Author and Keyword Index | 100 | ||
| Restoration and Management of Degraded River Basins - Alexander River Case Study | 8 | ||
| Abstract | 8 | ||
| Introduction | 8 | ||
| The organisational and institutional concept of dealing with the degraded Alexander River Basin | 10 | ||
| The Establishment and Activity of the Alexander River Restoration Administration. | 10 | ||
| An Overall Master Plan for the River Basin, as the Main Basis for Implementation Programs. | 11 | ||
| Outline Scheme as an Important Legal Basis for Implementation and Economic Feasibility. | 11 | ||
| Multidisciplinary and Comprehensive Implementation of the River Restoration. | 11 | ||
| Maintenance, River Operation and Monitoring. | 12 | ||
| The Role of the Project in Establishing Real Cooperation between Israelis and Palestinians and Solving Ecological Problems that Know No Geo-Political Borders. | 12 | ||
| The Project's Role in the Change of Attitude to Rivers in Israel and Within the River Basin. | 14 | ||
| Real Public Participation. | 14 | ||
| Openness, Accountability, and Regular Reporting of Achievements. | 15 | ||
| The Development of a Catchment Management Agency for the Breede River, Western Cape, South Africa | 19 | ||
| Abstract | 19 | ||
| Background | 19 | ||
| Requirements for a viable Breede River CMA | 20 | ||
| Institutional and technical viability | 20 | ||
| Financial viability | 21 | ||
| Social viability | 22 | ||
| Implementation plan for CMA establishment | 22 | ||
| Internal Strategic Perspective (ISP) | 25 | ||
| Conclusions | 25 | ||
| References | 25 | ||
| Mersey Basin Campaign: partnership approach to river basin management | 26 | ||
| Abstract | 26 | ||
| INTRODUCTION | 26 | ||
| Background to the creation of Mersey Basin Campaign | 26 | ||
| The objectives of Mersey Basin Campaign | 27 | ||
| The location of Mersey Basin Campaign | 27 | ||
| THE EMERGENCE OF THE PARTNERSHIP | 27 | ||
| GOVERNANCE, MANAGEMENT AND DECISION-MAKING | 28 | ||
| The organisational structure of the Mersey Basin Campaign | 28 | ||
| The partnership approach | 28 | ||
| The decision makers and the Campaign managers | 29 | ||
| BUILDING TRUST AND DEVELOPING A LONG-TERM PARTNERSHIP | 30 | ||
| IMPLEMENTING ACTION | 31 | ||
| How do we take forward decisions and put our actions into practice? | 31 | ||
| CHALLENGES OF WORKING IN PARTNERSHIPS | 31 | ||
| Measuring success: what are the lessons learnt from partnership working? | 31 | ||
| What are the critical success factors? | 32 | ||
| CONCLUSION | 33 | ||
| REFERENCES | 33 | ||
| Development of a Daunbe River Basin Management Plan in line with the EU WFD | 34 | ||
| Introduction | 34 | ||
| The Danube River Basin | 35 | ||
| International relationships to ensure coordination | 38 | ||
| Development of The Danube River Basin Management Plan | 40 | ||
| Part A – Roof report | 40 | ||
| Part B – National reports | 41 | ||
| Conclusions | 41 | ||
| Restoration of the Hawkesbury-Nepean river system, NSW, Australia | 43 | ||
| Abstract | 43 | ||
| Introduction | 43 | ||
| Hawkesbury-Nepean River | 44 | ||
| Sydney Water Supply System | 44 | ||
| Loved Almost to Ruin | 44 | ||
| Water Reforms | 44 | ||
| Health Rivers Commission | 44 | ||
| Sydney Catchment Authority | 45 | ||
| Water Management Act | 45 | ||
| Reform of the Water Agencies | 45 | ||
| Hawkesbury-Nepean River Management Forum | 45 | ||
| BASIX | 46 | ||
| Metropolitan Water Plan | 46 | ||
| Demand Side Measures | 46 | ||
| Water Efficiency | 46 | ||
| Water Education | 47 | ||
| Pricing | 47 | ||
| Leakage Reduction | 47 | ||
| Supply Side Measures | 47 | ||
| Existing Water Supply System | 47 | ||
| Water Recycling | 47 | ||
| Groundwater | 48 | ||
| Desalination | 48 | ||
| Conclusions | 48 | ||
| References | 48 | ||
| Watershed management - a physically based approach v. data driven modelling | 54 | ||
| Abstract | 54 | ||
| INTRODUCTION | 54 | ||
| PHYSICALLY BASED MODELING | 55 | ||
| DATA DRIVEN MODELING | 56 | ||
| COMPARISON and CONCLUSIONS | 57 | ||
| References | 58 | ||
| Fuzzy Method of Assessing Sustainability in Stormwater Planning | 59 | ||
| Abstract | 59 | ||
| Introduction | 59 | ||
| A framework for sustainable stormwater management | 60 | ||
| Linguistics and membership functions | 61 | ||
| Fuzzy rule-based system | 63 | ||
| Sustainability assessment using the fuzzy rule-based system | 64 | ||
| Conclusions | 66 | ||
| References | 66 | ||
| AGNPS and SWAT Model Calibration for Hydrologic Modelling of an Ecuadorian River Basin | 76 | ||
| Abstract | 76 | ||
| Problem Definition | 76 | ||
| Methodology | 78 | ||
| Basin Division | 78 | ||
| Fit Criteria | 78 | ||
| Flow Calibration | 79 | ||
| Suspended Sediment Calibration | 80 | ||
| Results and Discussion | 80 | ||
| Flow Calibration | 80 | ||
| Suspended Sediment Calibration | 81 | ||
| Conclusions | 83 | ||
| References | 83 | ||
| Simulation of Flood Flow over Bangkok Flood Plain by using an Artificial Neural Network | 84 | ||
| Abstract | 84 | ||
| Introduction | 84 | ||
| Description of Eastern Bangkok flood plain area | 86 | ||
| Artificial Neural Network (ANN) | 86 | ||
| Model training and testing | 87 | ||
| Data collection | 88 | ||
| Model input and architecture | 88 | ||
| Simulation results of ANN and discussions | 90 | ||
| Model performance evaluation | 90 | ||
| Sensitivity analysis | 90 | ||
| Conclusions | 91 | ||
| References | 91 | ||
| The Relation between Nutrient Management in the Danube Basin and Eutrophication Problems in Receiving Black Sea Coastal Water | 92 | ||
| Introduction | 92 | ||
| Basic Characteristics of Danube River Basin | 93 | ||
| Nutrients: a challenge for trans-boundary management | 93 | ||
| Analysis of the water quality situation in Danube catchment | 95 | ||
| Possibilities for future nutrient management | 96 | ||
| Conclusions | 98 | ||
| References | 99 | ||
| A Data-Driven Model for Flow and Contaminants Runoff Predictions in Watersheds | 67 | ||
| INTRODUCTION | 67 | ||
| LITERATURE REVIEW | 68 | ||
| MODEL DEVELOPMENT | 68 | ||
| Decision trees (DT) | 68 | ||
| Genetic algorithms (GA) | 70 | ||
| The Hybrid (DT-GA) Model | 70 | ||
| APPLICATION | 72 | ||
| CONCLUSIONS | 74 | ||
| REFERENCES | 74 |