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.
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