Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment
Challenges, Processes and Strategies
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Beschreibung
These proceedings of the IAMG 2014 conference in New Delhi explore the current state of the art and inform readers about the latest geostatistical and space-based technologies for assessment and management in the contexts of natural resource exploration, environmental pollution, hazards and natural disaster research. The proceedings cover 3D visualization, time-series analysis, environmental geochemistry, numerical solutions in hydrology and hydrogeology, geotechnical engineering, multivariate geostatistics, disaster management, fractal modeling, petroleum exploration, geoinformatics, sedimentary basin analysis, spatiotemporal modeling, digital rock geophysics, advanced mining assessment and glacial studies, and range from the laboratory to integrated field studies.
Mathematics plays a key part in the crust, mantle, oceans and atmosphere, creating climates that cause natural disasters, and influencing fundamental aspects of life-supporting systems and many other geological processes affecting Planet Earth. As such, it is essential to understand the synergy between the classical geosciences and mathematics, which can provide the methodological tools needed to tackle complex problems in modern geosciences.
The development of science and technology, transforming from a descriptive stage to a more quantitative stage, involves qualitative interpretations such as conceptual models that are complemented by quantification, e.g. numerical models, fast dynamic geologic models, deterministic and stochastic models. Due to the increasing complexity of the problems faced by today’s geoscientists, joint efforts to establish new conceptual and numerical models and develop new paradigms are called for.
These proceedings of the IAMG 2014 conference in New Delhi explore the current state of the art and inform readers about the latest geostatistical and space-based technologies for assessment and management in the contexts of natural resource exploration, environmental pollution, hazards and natural disaster research. The proceedings cover 3D visualization, time-series analysis, environmental geochemistry, numerical solutions in hydrology and hydrogeology, geotechnical engineering, multivariate geostatistics, disaster management, fractal modeling, petroleum exploration, geoinformatics, sedimentary basin analysis, spatiotemporal modeling, digital rock geophysics, advanced mining assessment and glacial studies, and range from the laboratory to integrated field studies.
Mathematics plays a key part in the crust, mantle, oceans and atmosphere, creating climates that cause natural disasters, and influencing fundamental aspects of life-supporting systems and many other geological processes affecting Planet Earth. As such, it is essential to understand the synergy between the classical geosciences and mathematics, which can provide the methodological tools needed to tackle complex problems in modern geosciences.
The development of science and technology, transforming from a descriptive stage to a more quantitative stage, involves qualitative interpretations such as conceptual models that are complemented by quantification, e.g. numerical models, fast dynamic geologic models, deterministic and stochastic models. Due to the increasing complexity of the problems faced by today’s geoscientists, joint efforts to establish new conceptual and numerical models and develop new paradigms are called for.
Constitutes a laboratory for integrated field studies of mathematical geosciences Includes methodological tools to tackle the complex problems in modern geosciences Introduces 3D visualization models used to address geomathematical issues
Autor*in
N. Janardhana Raju
Themen in »Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment«
Digital Rock Gephysics and Natural Resources Research Geoinformatics and Mathematical Geosciences IAMG 2014I Spatiotemporal Modeling and Mathematical Geosciences Time-series Analysis and Natural Resources quantitative geology hydrogeology mineral resources
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“The editor has to be commended for the non-trivial task of editing this large compilation of chapters of diverse studies. The book is an abundant source of case studies of quantitative analyses of scientific issues relevant to characterization and assessment of natural resources and processes. The book is suitable for postgraduate research students with advanced knowledge of mathematics and statistics, as well as for junior and senior researchers.” (John Carranza, Natural Resources Research, October, 2016)
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