Quantitative Information Fusion for Hydrological Sciences

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.

Publication Year: 2008
Imprint: Springer Berlin Heidelberg
Format: H
Weight (Gram): 518