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.
| ISBN: | 9783642094613 |
| Publication date: | 20th November 2010 |
| Author: | Xing Cai, TC Jim Yeh |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 218 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Geology, geomorphology and the lithosphere Hydrology and the hydrosphere Maths for engineers Artificial intelligence Earth sciences |