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.
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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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Key Phrases - Statistically Improbable Phrases (SIPs):
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satellite rainfall data, sedimentary structure types, tomographic pumping tests, single flow simulation, production data integration, hydrologic process controls, radar attributes, generalized travel time, regularization relative, hydraulic tomography, log hydraulic conductivity field, streamline formulation, smoothing spline model, streamline models, construction site drainages, head covariance, regularized inversion, rainfall error, travel time inversion, pressure head measurements, radar velocity, streamline simulation, assimilation step, drawdown differences, groundwater flow regime Key Phrases - Capitalized Phrases (CAPs): (learn more)
Water Resour, Information Fusion, Monte Carlo, Ground Water, Springer-Verlag Berlin Heidelberg, Computational Intelligence, Journal of Hydrology, Academic Press, Hydrological Sciences Journal, Monthly Weather Review, San Diego, New York, Journal of Hydrometeorology, Journal of Geophysical Research, Reservoir Simulation Symposium, The Netherlands, Prentice Hall, River Ouse, Bay Marchand, Englewood Cliffs, Geological Society Spec Publ, Oxford University Press, Sed Geol, Michigan State University, National Science Foundation Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Surprise Me!
satellite rainfall data, sedimentary structure types, tomographic pumping tests, single flow simulation, production data integration, hydrologic process controls, radar attributes, generalized travel time, regularization relative, hydraulic tomography, log hydraulic conductivity field, streamline formulation, smoothing spline model, streamline models, construction site drainages, head covariance, regularized inversion, rainfall error, travel time inversion, pressure head measurements, radar velocity, streamline simulation, assimilation step, drawdown differences, groundwater flow regime Key Phrases - Capitalized Phrases (CAPs): (learn more)
Water Resour, Information Fusion, Monte Carlo, Ground Water, Springer-Verlag Berlin Heidelberg, Computational Intelligence, Journal of Hydrology, Academic Press, Hydrological Sciences Journal, Monthly Weather Review, San Diego, New York, Journal of Hydrometeorology, Journal of Geophysical Research, Reservoir Simulation Symposium, The Netherlands, Prentice Hall, River Ouse, Bay Marchand, Englewood Cliffs, Geological Society Spec Publ, Oxford University Press, Sed Geol, Michigan State University, National Science Foundation Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Surprise Me!
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