Quantitative Information Fusion for Hydrological Sciences by Xing Cai (English)

Description: Quantitative Information Fusion for Hydrological Sciences by Xing Cai, T.-C. Jim Yeh In this rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? Here, two highly qualified scientists edit a volume that takes the angle of computational hydrology and envision one of the science s future directions namely, the quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description In a rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? This book takes the angle of computational hydrology and envisions one of the future directions, namely, quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.Intelligent computation and information fusion are the key words. The aim is to provide both established scientists and graduate students with a summary of recent developments in this topic. The chapters of this edited volume cover some of the most important ingredients for quantitative hydrological information fusion, including data fusion techniques, interactive computational environments, and supporting mathematical and numerical methods. Real-life applications of hydrological information fusion are also addressed. Notes Well edited overview about quantitative information fusion in hydrology Back Cover In a rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? This book takes the angle of computational hydrology and envisions one of the future directions, namely, quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences. Intelligent computation and information fusion are the key words. The aim is to provide both established scientists and graduate students with a summary of recent developments in this topic. The chapters of this edited volume cover some of the most important ingredients for quantitative hydrological information fusion, including data fusion techniques, interactive computational environments, and supporting mathematical and numerical methods. Real-life applications of hydrological information fusion are also addressed. Table of Contents Data Fusion Methods for Integrating Data-driven Hydrological Models.- A New Paradigm for Groundwater Modeling.- Information Fusion using the Kalman Filter based on Karhunen-Loève Decomposition.- Trajectory-Based Methods for Modeling and Characterization.- The Role of Streamline Models for Dynamic Data Assimilation in Petroleum Engineering and Hydrogeology.- Information Fusion in Regularized Inversion of Tomographic Pumping Tests.- Advancing the Use of Satellite Rainfall Datasets for Flood Prediction in Ungauged Basins: The Role of Scale, Hydrologic Process Controls and the Global Precipitation Measurement Mission.- Integrated Methods for Urban Groundwater Management Considering Subsurface Heterogeneity. Long Description In a rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? This book takes the angle of computational hydrology and envisions one of the future directions, namely, quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences. Intelligent computation and information fusion are the key words. The aim is to provide both established scientists and graduate students with a summary of recent developments in this topic. The chapters of this edited volume cover some of the most important ingredients for quantitative hydrological information fusion, including data fusion techniques, interactive computational environments, and supporting mathematical and numerical methods. Real-life applications of hydrological information fusion are also addressed. Feature Well edited overview about quantitative information fusion in hydrology Details ISBN3540753834 Short Title QUANTITATIVE INFO FUSION FOR H Pages 218 Series Studies in Computational Intelligence Language English ISBN-10 3540753834 ISBN-13 9783540753834 Media Book Format Hardcover Series Number 79 Year 2008 Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany Edited by T.-C. Jim Yeh Edition 2008th Author T.-C. Jim Yeh Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description 2008 ed. Publication Date 2008-01-03 Alternative 9783642094613 DEWEY 551.480285 Audience Undergraduate Illustrations IX, 218 p. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131034858;

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