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.M5 Model Trees (M5) M5 model trees are a machine-learning technique that divides the solution space into ... M5 model trees were applied to a hydrological modeling problem for the Sieve catchment in Italy (Solomatine and Dulal, 2003).
|Title||:||Quantitative Information Fusion for Hydrological Sciences|
|Author||:||Xing Cai, T.-C. Jim Yeh|
|Publisher||:||Springer Science & Business Media - 2008-01-03|