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Quantitative Information Fusion for Hydrological Sciences

Springer Berlin,
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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.


Titel: Quantitative Information Fusion for Hydrological Sciences
Autoren/Herausgeber: Xing Cai, T.-C. Jim Yeh (Hrsg.)
Aus der Reihe: Studies in Computational Intelligence
Ausgabe: Softcover reprint of hardcover 1st ed. 2008

ISBN/EAN: 9783642094613

Seitenzahl: 218
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 355 g
Sprache: Englisch - Newsletter
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