Quantitative Information Fusion for Hydrological Sciences

• Corporate Author: SpringerLink (Online service)
• Other Authors: Cai, Xing (Editor), Yeh, T. -C. Jim (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Studies in Computational Intelligence, 79
• Subjects: Earth sciences.; Hydrology.; Hydrogeology.; Geotechnical engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Earth Sciences.; Appl.Mathematics/Computational Methods of Engineering.; Hydrology/Water Resources.; Geotechnical Engineering & Applied Earth Sciences.; Artificial Intelligence (incl. Robotics).

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,...