In order to properly plan, design, and operate groundwater resources projects, it is necessary to measure - over time or distance - pertinent groundwater variables such as drawdown and discharge in the field. Applied Hydrogeology for Scientists and Engineers shows how to assess and interpret these data by subsurface geological setup and processing. The book helps readers estimate relevant groundwater parameters such as storativity, transmissivity, and leakage coefficient. The text addresses many interrelated disciplines such as geology, hydrology, hydrogeology, engineering, petroleum geology, and water engineering. Traditional and current models for application are presented. One of the unique features of the book is the inclusion of new and previously unpublished ideas, concepts, techniques, approaches, and procedures developed by the author. Among these are hydrogeophysical concepts, slope matching techniques, volumetric approach solution for complicated groundwater flows, non-Darcian flow law applications, aquifer sample functions, dimensionless-type straight line methods, non-linear flow-type curves, discharge calculations from early time-drawdown data, storage coefficient estimation procedure for quasi-steady state flow, and much more. The pitfalls in aquifer test analysis are also detailed. Fractured medium flow adds yet another dimension to the book. Each method is supplemented by actual field data applications from worldwide case studies. Applied Hydrogeology for Scientists and Engineers covers the topics of groundwater reservoirs, the evaluation of aquifer parameters, aquifer and flow properties, flow properties and bore hole tests, aquifer tests in porous and fractured media, well hydraulics, groundwater flow and aquifer tests, and field measurements and their interpretations. This new reference also works well as a post-graduate textbook on the subject. Applied Hydrogeology for Scientists and Engineers expands the reader's knowledge by providing valuable information not found in any other publication.
This is a revised and updated second edition, including new chapters on temporal and point uncertainty model, as well as on sampling and deterministic modeling. It is a comprehensive presentation of spatial modeling techniques used in the earth sciences, outlining original techniques developed by the author. Data collection in the earth sciences is difficult and expensive, but simple, rational and logical approaches help the reader to appreciate the fundamentals of advanced methodologies. It requires special care to gather accurate geological, hydrogeological, meteorological and hydrological information all with risk assessments. Spatial simulation methodologies in the earth sciences are essential, then, if we want to understand the variability in features such as fracture frequencies, rock quality, and grain size distribution in rock and porous media. This book outlines in a detailed yet accessible way the main spatial modeling techniques, in particular the Kriging methodology. It also presents many unique physical approaches, field cases, and sample interpretations. Since Kriging’s origin in the 1960s it has been developed into a number of new methods such as cumulative SV (CSV), point CSV (PCSV), and spatial dependence function, which have been applied in different aspects of the earth sciences. Each one of these techniques is explained in this book, as well as how they are used to model earth science phenomena such as geology, earthquakes, meteorology, and hydrology. In addition to Kriging and its variants, several alternatives to Kriging methodology are presented and the necessary steps in their applications are clearly explained. Simple spatial variation prediction methodologies are also revised with up-to-date literature, and the ways in which they relate to more advanced spatial modeling methodologies are explained. The book is a valuable resource for students, researchers and professionals of a broad range of disciplines including geology, geography, hydrology, meteorology, environment, image processing, spatial modeling and related topics. Keywords »Data mining - Geo-statistics - Kriging - Regional uncertainty - Spatial dependence - Spatial modeling - geographic data - geoscience - hydrology - image processing
The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic application. Providing readers with the first book to cover fuzzy logic modeling as it relates to water science, the author takes an approach that incorporates verbal expert views and other parameters that allow
The literature of hydrology abounds with texts on the hydrological and water resource problems in humid regions. However, this is not the case for the arid or semi arid regions. The situation is exemplified by the fact a concrete definition for the termwadi as accepted by UNESCO for describing these areas, is difficult to find.Arguably the
This book presents the methods of quantitative determination of solar irradiation incident amount on a surface on the Earth. It brings together information not found elsewhere in a single source, and includes an innovative exposition of expert system methodologies used in the domain of solar irradiation and energy. The book provides a background to the underlying physical principles of solar irradiation and energy, with explanations as to how these can be modelled and applied.
FUZZY LOGIC AND SYSTEM MODELS IN WATER SCIENCES Kitabı İçindekiler Introduction Fuzzy Sets and Water Sciences Fuzzy Relationships in Water Sciences Approximate Reasoning Fuzzy Logic System Models Applications in Hydrology
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