Risk, Reliability, Uncertainty, and Robustness of Water Resource SystemsJanos J. Bogardi, Zbigniew W. Kundzewicz Cambridge University Press, 2002 M01 28 Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems is based on the Third George Kovacs Colloquium organized by the International Hydrological Programme (UNESCO) and the International Association of Hydrological Sciences. Thirty-five leading scientists with international reputations provide reviews of topical areas of research on water resource systems, including aspects of extreme hydrological events: floods and droughts; water quantity and quality dams; reservoirs and hydraulic structures; evaluating sustainability and climate change impacts. As well as discussing essential challenges and research directions, the book will assist in applying theoretical methods to the solution of practical problems in water resources. The authors are multi-disciplinary, stemming from such areas as: hydrology, geography, civil, environmental and agricultural engineering, forestry, systems sciences, operations research, mathematics, physics and geophysics, ecology and atmospheric sciences. This review volume will be valuable for graduate students, scientists, consultants, administrators, and practising hydrologists and water managers. |
From inside the book
Results 1-5 of 43
Page ix
... Techniques for interactive decision processes in IRRASM 8 2.5 The use of DSS for integrated risk assessment studies 8 2.6 The use of GIS technology for IRRASM 13 2.7 The Kovers approach 15 2.8 Conclusions 21 3 Risk analysis: The ...
... Techniques for interactive decision processes in IRRASM 8 2.5 The use of DSS for integrated risk assessment studies 8 2.6 The use of GIS technology for IRRASM 13 2.7 The Kovers approach 15 2.8 Conclusions 21 3 Risk analysis: The ...
Page xi
... techniques 15.6 Analysis of relative contributions of uncertainties 15.7 Concluding remarks Managing water quality under uncertainty: Application of a new stochastic branch and bound method B. J. Lence and A. Ruszczyn ́ski 16.1 ...
... techniques 15.6 Analysis of relative contributions of uncertainties 15.7 Concluding remarks Managing water quality under uncertainty: Application of a new stochastic branch and bound method B. J. Lence and A. Ruszczyn ́ski 16.1 ...
Page 5
... techniques, decision analysis and engineering-economic systems, physical models for pollutant dispersion, etc., databases and knowledge bases. In Figure 2.2, a detailed representation is achieved in order to portray the hierarchical ...
... techniques, decision analysis and engineering-economic systems, physical models for pollutant dispersion, etc., databases and knowledge bases. In Figure 2.2, a detailed representation is achieved in order to portray the hierarchical ...
Page 8
... TECHNIQUES FOR INTERACTIVE DECISION PROCESSES IN IRRASM New techniques are available today in order to assist the integration of models, citizens, and the potential decision makers. One of these techniques is known as the cooperative ...
... TECHNIQUES FOR INTERACTIVE DECISION PROCESSES IN IRRASM New techniques are available today in order to assist the integration of models, citizens, and the potential decision makers. One of these techniques is known as the cooperative ...
Page 9
... techniques known as decision analysis, which are close to the field of management science. There are, in general, positive and negative aspects associated with decision making. Indeed, many decisions are made intuitively by experts and ...
... techniques known as decision analysis, which are close to the field of management science. There are, in general, positive and negative aspects associated with decision making. Indeed, many decisions are made intuitively by experts and ...
Contents
1 | |
4 | |
The unbearable cleverness of bluffing | 22 |
4 Aspects of uncertainty reliability and risk in flood forecasting systems incorporating weather radar | 30 |
5 Probabilistic hydrometeorological forecasting | 41 |
Risk cartography for objective negotiations | 47 |
7 Responses to the variability and increasing uncertainty of climate in Australia | 54 |
8 Developing an indicator of a communitys disaster risk awareness | 62 |
13 Hydrological risk under nonstationary conditions changing hydroclimatological input | 111 |
14 Fuzzy compromise approach to water resources systems planning under uncertainty | 122 |
15 System and component uncertainties in water resources | 133 |
Application of a new stochastic branch and bound method | 143 |
17 Uncertainty in risk analysis of water resources systems under climate change | 153 |
theory and practice | 162 |
19 Quantifying system sustainability using multiple risk criteria | 169 |
20 Irreversibility and sustainability in water resources systems | 181 |
9 Determination of capture zones of wells by Monte Carlo simulation | 70 |
10 Controlling three levels of uncertainties for ecological risk models | 76 |
11 Stochastic precipitationrunoff modeling for water yield from a semiarid forested watershed | 86 |
12 Regional assessment of the impact of climate change on the yield of water supply systems | 101 |
21 Future of reservoirs and their management criteria | 190 |
22 Performance criteria for multiunit reservoir operation and water allocation problems | 199 |
23 Risk management for hydraulic systems under hydrological loads | 209 |
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Common terms and phrases
alternatives amount analysis annual application approach assessment average calculated climate climate change components consequences considered cost criteria decision defined demand dependent described determined distribution drought duration economic effect Engineering environmental equation estimate evaluation example expressed failure Figure flood flow forecast function future fuzzy given hydrological increase indicator input integrated interval involved mean measure method natural needs objective observed obtained operation parameters performance period planning pollutant possible practical precipitation present probability problem procedure produce protection rainfall random range REFERENCES regional relative reliability represent Research reservoir respectively risk river scenarios selected shows simulation solution standard statistical stochastic storage structure sustainability Table techniques temperature tion uncertainty University values variables vulnerability water resources water resources systems water supply weights yield zone