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Advances in geosciences (a 4-volume set) - volume 29 : hydrological science (hs).

This invaluable volume set of Advances in Geosciences continues the excellent tradition of the Asia-Oceania scientific community in providing the most up-to-date research results on a wide range of geosciences and environmental science. The information is vital to the understanding of the effects of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lin, Gwo-Fong
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific, 2012.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Advances in geosciences (a 4-volume set) - volume 29 :  |b hydrological science (hs). 
260 |a Singapore :  |b World Scientific,  |c 2012. 
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520 |a This invaluable volume set of Advances in Geosciences continues the excellent tradition of the Asia-Oceania scientific community in providing the most up-to-date research results on a wide range of geosciences and environmental science. The information is vital to the understanding of the effects of climate change and extreme weather on the most populated regions and fastest moving economies in the world. Besides, these volumes also highlight original papers from many prestigious research institutions which are conducting cutting-edge studies in atmospheric physics, hydrogical science and wate. 
505 0 |a Reviewers; Editors; Preface; Preface to HS Volume; CONTENTS; 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. 
505 8 |a 2. Method2.1. 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. 
505 8 |a Climate Change and Socio-Hydrological Dynamics: Adaptations and Feedbacks Yali E. Woyessa and Worku A. Welderufael1. 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. 
505 8 |a 2.1. Restoration networks2.2. 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. 
505 8 |a 4. ConclusionReferences; 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. 
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