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Books > Earth & environment > Earth sciences > General
This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESSs such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references. This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr. Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (...) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (...) will find it an invaluable guide to neural network methods. (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada) Vladimir Krasnopolsky has been the founding father of applying computation intelligence methods to environmental science; (...) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding of best modeling practices in environmental science. (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA)
This fascinating work makes the link between the rarified world of maths and the down-to-earth one inhabited by engineers. It introduces and explains classical and modern mathematical procedures as applied to the real problems confronting engineers and geoscientists. Written in a manner that is understandable for students across the breadth of their studies, it lays out the foundations for mastering difficult and sometimes confusing mathematical methods. Arithmetic examples and figures fully support this approach, while all important mathematical techniques are detailed. Derived from the author's long experience teaching courses in applied mathematics, it is based on the lectures, exercises and lessons she has used in her classes.
This PhD thesis details the development of a new 1D ionospheric model to describe the upper atmospheres of extrasolar giant plants. The upper atmospheres of Hot Jupiters are subject to extreme radiation conditions that can result in rapid atmospheric escape. The composition and structure of these planets' upper atmospheres are affected by high-energy emissions from the host star. The nature of these emissions depends on the stellar type and age, making them important factors in understanding the behaviour of exoplanetary atmospheres.
This book describes the relationship between the atmosphere and the external plasma of Earth in an unconventional manner. While the main mechanical energy is located in the dense atmosphere, the presence of Earth's plasma environment, which is immersed in the magnetosphere, causes a number of very interesting effects on the atmosphere. A list of such effects includes magnetic substorms, magnetic storms and aurora to the dynamics of the upper atmosphere, heating, thermal expansion, and vertical and horizontal winds. Particle precipitation produces excess ionization and electric currents, causes electric fields, affects recombination and modifies chemical reactions. These are processes which may become important in the climate. The collected articles provide an overview of these effects. This volume is aimed at graduate students and researchers active in the areas of atmospheric science and space science. Previously published in Space Science Reviews, Vol. 168/1-4, 2012.
The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.
The book is intended for people (graduates, researchers, but also
undergraduates with a good mathematical background) involved in the
study of (static) optimization problems (in finite-dimensional
spaces). It contains a lot of material, from basic tools of convex
analysis to optimality conditions for smooth optimization problems,
for non smooth optimization problems and for vector optimization
problems.
Failure by the international community to make substantive progress in reducing CO2 emissions, coupled with recent evidence of accelerating climate change, has brought increasing urgency to the search for additional remediation approaches. This book presents a selection of state-of-the-art geoengineering methods for deliberately reducing the effects of anthropogenic climate change, either by actively removing greenhouse gases from the atmosphere or by decreasing the amount of sunlight absorbed at the Earth's surface. These methods contrast with more conventional mitigation approaches which focus on reducing emissions of greenhouse gases, especially carbon dioxide. Geoengineering technologies could become a key tool to be used in conjunction with emissions reduction to limit the magnitude of climate change. Featuring authoritative, peer-reviewed entries from the Encyclopedia of Sustainability Science and Technology, this book presents a wide range of climate change remediation technologies.
"INSTRUCTORS," interested in requesting a review copy?
This book covers various aspects of spatial data modelling specifically regarding three-dimensional (3D) modelling and structuring. The realization of "true" 3D geoinformation spatial systems requires a high input, and the developmental process is taking place in various research centers and universities around the globe. The development of such systems and solutions, including the modelling theories are presented in this book.
This book focuses on visualization modules of GI software and systems, and tries to answer the specific question "How commonly is stereoscopic visualization supported in GI systems?." To achieve this, first whether such support exits or not in mainstream GI software is documented. The study is further detailed to assess which type of stereoscopic operations and viewing methods are supported. Motivated by improving efficiency of stereoscopic visualizations in cartographic do-main, within this survey, it is also examined whether these systems and software offer level of detail management support for stereoscopic data-sets. Findings from the study meant as a guide to researchers and practitioners to assess the cur-rent state of True 3D support in cartography and GI Systems.
Here, the authors present modern mathematical methods to solve problems of differential-operator inclusions and evolution variation inequalities which may occur in fields such as geophysics, aerohydrodynamics, or fluid dynamics. For the first time, they describe the detailed generalization of various approaches to the analysis of fundamentally nonlinear models and provide a toolbox of mathematical equations. These new mathematical methods can be applied to a broad spectrum of problems. Examples of these are phase changes, diffusion of electromagnetic, acoustic, vibro-, hydro- and seismoacoustic waves, or quantum mechanical effects. This is the second of two volumes dealing with the subject.
Based on lectures given in the First Russian School-Seminar on
electromagnetic soundings of the Earth held in Moscow on 15th
November, 2003, this book acquaints scientists and technologists
with the latest achievements in theory, techniques and practical
applications of the methods of electromagnetic sounding. This three
part text covers the methods considered for Earth electromagnetic
sounding on a global, regional, and local scale; modern methods for
solving forward and inverse problems of geoelectrics, particularily
contemporary approaches to the EM data modeling and interpretation
in the class of three-dimensional models; and the results of
regional EM on-land and sea soundings
Precision farming is an agricultural management system using global navigation satellite systems, geographic information systems, remote sensing, and data management systems for optimizing the use of nutrients, water, seed, pesticides and energy in heterogeneous field situations. This book provides extensive information on the state-of-the-art of research on precision crop protection and recent developments in site-specific application technologies for the management of weeds, arthropod pests, pathogens and nematodes. It gives the reader an up-to-date and in-depth review of both basic and applied research developments. The chapters discuss I) biology and epidemiology of pests, II) new sensor technologies, III) applications of multi-scale sensor systems, IV) sensor detection of pests in growing crops, V) spatial and non-spatial data management, VI) impact of pest heterogeneity and VII) precise mechanical and chemical pest control. |
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