CONTENTS -- Editors -- Reviewers -- Preface -- Preface to HS Volume -- Support Vector Machine-Based Model for Daily Evaporation Estimation Gwo-Fong Lin and Hsuan-Yu Lin -- 1. Introduction -- 2. Support Vector Machines -- 3. Application -- 3.1. The study area and data -- 3.2. Model development and input determination -- 3.3. Performance measures -- 4. Results and Discussions -- 5. Summary and Conclusions -- References -- Rainfall Forecast with Ensemble Performance of Translation Model and Numerical Weather Prediction Ngoc Son Nguyen, Shan He, Srivatsan V. Raghavan, Chi Dung Doan and Shie-Yui Liong -- 1. Introduction -- 2. Method -- 2.1. Translation model -- 2.2. Numerical weather prediction -- 2.3. Ensemble rainfall forecasting: coupling TM and NWP -- 3. Results -- 4. Conclusions -- References -- Impact of Climate Variability and Change on Crop Water Consumption Chavalit Chaleeraktrakoon and Surasit Punyawansiri -- 1. Introduction -- 2. A Statistical Downscaling Approach -- 2.1. A global climate parameters and station daily temperature linkage using SDSM -- 2.2. A temperature and crop-water-consumption linkage using Hargreaves formula and crop coefficient -- 3. Numerical Application -- 4. Conclusions -- References -- Climate Change and Socio-Hydrological Dynamics: Adaptations and Feedbacks Yali E. Woyessa and Worku A. Welderufael -- 1. Introduction -- 2. Procedure -- 3. Conceptual Socio-Hydrological Model -- 4. Hydrological Simulation -- 5. Conclusions -- References -- Towards River Rehabilitation as an Integrated Approach to Flood Management in Asian Cities David L. Higgitt -- 1. The Challenge of Sustainable Flood Management -- 1.1. Introduction -- 1.2. Rehabilitation: A reframing for integrated river basin management -- 1.3. Are conventional solutions sustainable? -- 2. River Rehabilitation as an Alternative Paradigm -- 2.1. Restoration networks.

2.2. Reframing rehabilitation -- 2.3. Reflection, experience and learning -- 3. Summary -- Acknowledgments -- References -- Flow Structure and Erosion Supress by Vegetation in Overflow on Levees Motoyasu Sato, Takeshi Note, Akira Mano and Keiko Udo -- 1. Introduction -- 2. Experiment -- 2.1. Experimental setup -- 2.2. Experimental cases -- 2.3. Results -- 2.3.1. A measuring point comparison -- 2.3.2. A flow velocity suppressant effect due to the vegetation -- 2.3.3. A characteristic of the layer in the vegetation -- 3. Mathematical Model -- 3.1. A calculation method -- 3.2. Calculation result -- 4. Conclusion -- References -- Auto-Calibration by Evolutionary Algorithm in Decision Support System for Flood Warning Jongkon Chongwilaikasem, Suwatana Chittaladakorn and Sompop Sucharit -- 1. Introduction -- 2. Methodology -- 2.1. Distributed rainfall-runoff model -- 2.2. Evolutionary optimization algorithms -- 2.3. Auto-calibration procedure -- 3. Case Study -- 4. Result and discussion -- 5. Conclusion -- References -- Decision Support for Periodical Optimum of Water Delivery from Reservoir by Decision Tree Eakawit Jornpradit and Suwatana Chittaladakorn -- 1. Introduction -- 1.1. The dynamic data of the supply side -- 1.2. The dynamic data of the demand side -- 1.3. The dynamic data of the operational rule -- 2. Methodologies -- 2.1. Decision trees -- 2.2. Bayes' theorem -- 2.2.1. Definition of terms -- 2.2.2. The example of Bayes' Theorem in a simple application -- 2.3. Mass conservation law of the water balance -- 2.4. Short term operation system -- 2.5. Decision tree model formulation for alternatives creation -- 2.5.1. Probability values -- 2.5.2. Expected values -- 2.5.3. Effective rainfall volume in the field -- 2.5.4. Effect of hedge policy -- 2.5.5. Calculation method -- 2.5.6. Alternatives (µn) -- 2.6. Model simulation and optimization algorithm.

2.6.1. The optimization model formulation -- 3. Results and Discussion -- 3.1. PAPAYOM reservoir irrigation project, the case study -- 3.1.1. Stochastic operational rule -- 3.1.2. Average inflow series -- 3.1.3. Average demand series -- 3.2. Required field data -- 3.3. Result of decision tree and optimization driven -- 3.4. Decision making for short term operation -- 4. Conclusions -- References -- Decision Support System for Coastal Protection Layout Design (DSS4CPD) Using Genetic Algorithm (GA) and Multicriteria Analysis (MCA) Phinai Jinchai and Suwatana Chittaladakorn -- 1. Introduction -- 2. Objectives -- 3. Methodology -- 4. Data Base -- 5. Model Base -- 5.1. Wave hind-casting model -- Model description -- 5.2. Wave transformations model -- Model description -- 5.3. Shoreline change model -- 6. Structural Methods for Shore Protection -- 6.1. Seawalls -- 6.2. Breakwaters -- 6.3. Groins -- 7. Rock Size Calculation -- 8. Basis of Genetic Algorithms (GA) -- 9. The Coastal Structure Layout Design Using GA -- 9.1. Model development -- 10. Multicriteria Analysis (MCA) -- 10.1. Wind wave protection factor -- 10.2. Impact on safety of navigation -- 10.3. Utilization area along the beach -- 10.4. Construction cost -- 10.5. Scenery harmonization and tourism -- 10.6. Environmental impact -- 10.7. Maintenance cost -- 10.8. Local participation -- 11. Dialog Base -- 11.1. Geographical information systems (GIS) -- 11.2. DSS4CPD -- 12. Application -- 13. Conclusion -- References -- Decision Support System for Water Supply Planning Chatree Ruangthanunrak and Suwatana Chittaladakorn -- 1. Introduction -- 2. Water Treatment Process -- 2.1. Operation unit -- 2.2. Hydraulic grade line -- 2.3. Simple model and complex model -- 2.4. Bottleneck and unsuitable hydraulic profile problem -- 3. Methodology -- 3.1. Data base -- 3.2. Model base -- 3.3. Dialog base.

4. Conclusions -- References -- Three-Source Dynamical Model for Estimating Parameters for Irregularly Spouting Geysers Induced by Gas Inflow Hiroyuki Kagami -- 1. Introduction -- 2. Model -- 2.1. The former model -- 2.2. Extended two-source dynamical model -- 2.3. Three-source dynamical model -- 2.4. Results of numerical simulation based on the above model and discussion -- 3. Comparison of Results of a Numerical Simulation Based on the Three-Source Dynamical Model with Observation Data on an Irregularly Spouting Geyser Induced by Gas Inflow -- 4. Conclusions and Future Work -- References.