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 scienceas future directions a 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.Shu-Guang Li and Qun Liu Department of Civil and Environmental Engineering, Michigan State University Summary. A 1987 landmark National Science Foundation report on scientific computing and visualization (McCormick et al., 1987)anbsp;...
| Title | : | Quantitative Information Fusion for Hydrological Sciences |
| Author | : | Xing Cai, T.-C. Jim Yeh |
| Publisher | : | Springer Science & Business Media - 2008-01-03 |
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