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Stochastic Subsurface Hydrogeology is the study of subsurface, geological heterogeneity, and its effects on flow and transport process, using probabilistic and geostatistical concepts. This book presents a rational, systematic approach for analyzing and modeling subsurface heterogeneity, and for modeling flow and transport in the subsurface, and for prediction and decision-making under uncertainty. The book covers the fundamentals and practical aspects of geostatistics and stochastic hydrogeology, coupling theoretical and practical aspects, with examples, case studies and guidelines for applications, and provides a summary and review of the major developments in these areas.
Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise.A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management.The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems.
This book communicates some contemporary mathematical and statistical developments in river basin hydrology as they pertain to space-time rainfall, spatial landform and network structures and their role in understanding averages and fluctuations in the hydrologic water balance of river basins. While many of the mathematical and statistical nations have quite classical mathematical roots, the river basin data structure has led to many variations on the problems and theory. Contents:Stochastic Spatial-Temporal Models for Rain (D R Cox & V Isham)On Scaling Theories of Space-Time Rainfall: Some Recent Results and Open Problems (E Foufoula-Georgiou)Modeling of Drop Size Distribution and Its Applications to Rainfall Measurements from Radar (J M Porrà et al.)Spatial Channel Network Models in Hydrology (B M Troutman & M R Karlinger)Some Mathematical Aspects of Rainfall, Land-Forms, and Floods (V K Gupta & E C Waymire)Efficient Extraction of River Networks and Hydrologic Measurements from Digital Elevation Data (S D Peckham) Readership: Statisticians. Keywords:River Networks;Scaling Random Fields;Fractals;Floods;Space-Time Variability;Stochastic Point Processes;Geomorphology;Hydrometeorology;Multiscaling;Space-Time Rainfall;Stochastic Hydrology;Digital Elevation Maps;Self-Similar Networks;Ungauged River Basin;Point Process Models;Multiplicative Cascades;Statistical Hydrology;Surface Water HydrologyReviews: “This book presents an exciting review of developments in stochastic hydrology (with a helpful index) and includes many useful references.” International Statistical Institute
Fully Updated Hydrology Principles, Methods, and Applications Thoroughly revised for the first time in 50 years, this industry-standard resource features chapter contributions from a “who’s who” of international hydrology experts. Compiled by a colleague of the late Dr. Chow, Chow’s Handbook of Applied Hydrology, Second Edition, covers scientific and engineering fundamentals and presents all-new methods, processes, and technologies. Complete details are provided for the full range of ecosystems and models. Advanced chapters look to the future of hydrology, including climate change impacts, extraterrestrial water, social hydrology, and water security. Chow’s Handbook of Applied Hydrology, Second Edition, covers: · The Fundamentals of Hydrology · Data Collection and Processing · Hydrology Methods · Hydrologic Processes and Modeling · Sediment and Pollutant Transport · Hydrometeorologic and Hydrologic Extremes · Systems Hydrology · Hydrology of Large River and Lake Basins · Applications and Design · The Future of Hydrology
Advanced-level view of the tools of random processes and field theory as applied to the analysis and synthesis of hydrologic phenomena. Topics include time-series analysis, optimal estimation, optimal interpolation (Kriging), frequency-domain analysis of signals, and linear systems theory. Techniques and examples chosen to illustrate the latest advances in hydrologic signal analysis. Useable as graduate-level text in water resource systems, stochastic hydrology, random processes and signal analysis. 202 illustrations.

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