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GIS and Geostatistical Techniques for Groundwater Science provides a detailed synthesis of the application of GIS and geostatistics in groundwater studies. As the book illustrates, GIS can be a powerful tool for developing solutions for water resource problems, assessing water quality, and managing water resources. Beginning with an introduction to the history of GIS and geostatistical techniques in groundwater studies, the book then describes various spatial techniques, including case studies for various applications, from quality assessment, to resource management. This book assembles the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, one of our most important natural resources. - Provides details on the application of GIS and statistics in groundwater studies - Includes practical coverage of the use of spatial analysis techniques in groundwater science - Bridges the gap between geostatistics and GIS as it relates to groundwater science and management - Offers worldwide case studies to illustrate various techniques and applications in addressing groundwater issues
This monograph on integrated computer systems is one in a series of monographs published by the Expert Systems on Artificial Intelligence Committee of the ASCE Technical Council on Computer Practices. The purpose of the monograph series is to address issues in the use of expert system technology in civil engineering problem solving. Many of the publications and tools available to implement expert systems are generalized environments. The application of these environments is best achieved with an understanding of how others have succeeded or failed in using them to solve problems in the civil engineering domain. ,EM>Expert Systems for Civil Engineers: Integration Issues, broadens the scope of the monograph series from a focus on expert systems to a more general use of Artificial Intelligence (AI) techniques. The scope is also broadened by considering integration of computer programs more generally, rather than only on combining expert systems with other packages. The reason for expanding the scope of the series is to consider the role of AI in civil engineering computer environments rather than being limited to the implementation of expert systems. This follows a general trend in research and practice, to find the right tool for the problem being addressed, rather than to a priori assume an expert system approach. This report specifically describes the technical and pragmatic issues in developing integrated or distributed computer systems in which AI techniques are used and how these issues were resolved in civil engineering research and practice.
Scientific Study from the year 2013 in the subject Geography / Earth Science - Physical Geography, Geomorphology, Environmental Studies, grade: Masters and undergraduates, , language: English, abstract: Groundwater is a commodity which is intended to be used judiciously whilst protecting its serenity and sanctity in terms of quality and quantity. Ubiquitous utilization in sectors such as industrial, municipal, commercial, agricultural and residential makes groundwater contaminated and converting it as a vulnerable entity. Population growth is in the forefront to create enhanced water demand due to everlasting shortage of surface water and overweening industrialization. Geographic Information Systems (GIS) initiated a beneficial symbiotic relationship with environmental concerns and natural resources in recent times.
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example
This book offers essential information on geospatial technologies for water resource management and highlights the latest GIS and geostatistics techniques as they relate to groundwater. Groundwater is inarguably India's single most important natural resource. It is the foundation of millions of Indian farmers' livelihood security and the primary source of drinking water for a vast majority of Indians in rural and urban areas. The prospects of continued high rates of growth in the Indian economy will, to a great extent, depend on how judiciously we can manage groundwater in the years to come. Over the past three decades, India has emerged as by far the single largest consumer of groundwater in the world. Though groundwater has made the country self-sufficient in terms of food, we face a crisis of dwindling water tables and declining water quality. Deep drilling by tube wells, which was once part of the solution to water shortages, is now in danger of becoming part of the problem. Consequently, we urgently need to focus our efforts on the sustainable and equitable management of groundwater. Addressing that need, this book presents novel advances in and applications of RS–GIS and geostatistical techniques to the research community in a precise and straightforward manner.
This volume is the first book-length treatment of model-based geostatistics. The text is expository, emphasizing statistical methods and applications rather than the underlying mathematical theory. Analyses of datasets from a range of scientific contexts feature prominently, and simulations are used to illustrate theoretical results. Readers can reproduce most of the computational results in the book by using the authors' software package, geoR, whose usage is illustrated in a computation section at the end of each chapter. The book assumes a working knowledge of classical and Bayesian methods of inference, linear models, and generalized linear models.
The science of geostatistics is now being employed in an increasing number of disciplines in environmental sciences. This book surveys the latest applications of Geostatistics in a broad spectrum of fields including air quality, climatology, ecology, groundwater hydrology, surface hydrology, oceanography, soil contamination, epidemiology and health, natural hazards, and remote sensing.
This volume contains 40 selected full-text contributions from the Sixth European Conference on Geostatistics for Environmental Applications, geoENV IV, held in Rhodes, Greece, October 25-26, 2006. The objective of the editors was to compile a set of papers from which the reader could perceive how geostatistics is applied within the environmental sciences. A few selected theoretical contributions are also included.