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A natural consequence of groundwater withdrawals is the removal of water from subsurface storage, but the overall rates and magnitude of groundwater depletion in the United States are not well characterized. This study evaluates long- term cumulative depletion volumes in 40 separate aquifers or areas and one land use category in the United States, bringing together information from the literature and from new analy- ses. Depletion is directly calculated using calibrated ground- water models, analytical approaches, or volumetric budget analyses for multiple aquifer systems. Estimated groundwater depletion in the United States during 1900-2008 totals approx- imately 1,000 cubic kilometers (km3). Furthermore, the rate of groundwater depletion has increased markedly since about 1950, with maximum rates occurring during the most recent period (2000-2008) when the depletion rate averaged almost 25 km3 per year (compared to 9.2 km3 per year averaged over the 1900-2008 timeframe).
Remote sensing offers the potential for large scale, high-resolution, multi-temporal, multi-sensor measurements, with the possibility of large amounts of data stretching over space and time. This book presents numerous examples of how remote sensing can be applied in a way to aid in the study of some areas of the terrestrial water cycle.
Methods and guidelines for developing and using mathematical models Turn to Effective Groundwater Model Calibration for a set of methods and guidelines that can help produce more accurate and transparent mathematical models. The models can represent groundwater flow and transport and other natural and engineered systems. Use this book and its extensive exercises to learn methods to fully exploit the data on hand, maximize the model's potential, and troubleshoot any problems that arise. Use the methods to perform: Sensitivity analysis to evaluate the information content of data Data assessment to identify (a) existing measurements that dominate model development and predictions and (b) potential measurements likely to improve the reliability of predictions Calibration to develop models that are consistent with the data in an optimal manner Uncertainty evaluation to quantify and communicate errors in simulated results that are often used to make important societal decisions Most of the methods are based on linear and nonlinear regression theory. Fourteen guidelines show the reader how to use the methods advantageously in practical situations. Exercises focus on a groundwater flow system and management problem, enabling readers to apply all the methods presented in the text. The exercises can be completed using the material provided in the book, or as hands-on computer exercises using instructions and files available on the text's accompanying Web site. Throughout the book, the authors stress the need for valid statistical concepts and easily understood presentation methods required to achieve well-tested, transparent models. Most of the examples and all of the exercises focus on simulating groundwater systems; other examples come from surface-water hydrology and geophysics. The methods and guidelines in the text are broadly applicable and can be used by students, researchers, and engineers to simulate many kinds systems.
The refereed and edited proceedings of the symposium Schlomo P. Neuman: Recent Advances After 30 Years of Exceptional Contributions to Well Hydraulics, Numerical Modeling, and Field Investigations, which was held in Tucson, Arizona, in October 1998. Among the topics are four decades of inverse problems in hydrogeology, a connected-network paradigm for the alluvial aquifer system, the influence of multi-scale structure in non-ergodic solute transport in heterogeneous porous media, the Gaussian analysis of one-dimensional unsaturated flow in randomly heterogeneous soils, and the type-curve interpretation of transient single-hole pneumatic injection tests in unsaturated fractured tuffs at the Apache Leap Research Site. Annotation copyrighted by Book News Inc., Portland, OR