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Author: Jane H. Hodgkinson
Genre: Nature
Publisher: CRC Press
ISBN: 9781351374712
Book Pages: 402
Format: PDF, ePub & Mobi

This self-contained handbook provides a carefully researched, compact source of key earth science information and data, logically sorted by subject matter, and then cross-referenced. Appealing to both experts and non-experts alike, the book presents earth science and environmental science as closely intertwined. It includes tables of the global distributions of fossil fuels, contrasted by tables of the distribution of non-fossil energy sources. Concise explanations cover the subject matters of geology, geophysics, oceans, atmosphere with attention to environmental implications and resources.


Author: Roy H. Williams
Genre: Nature
Publisher: CRC Press
ISBN: 9781926692579
Book Pages: 283
Format: PDF, ePub & Mobi

Earth science is a broad field of study that encompasses many different disciplines, including meteorology, climatology, and geology. The importance of the earth sciences—in predicting weather and climate, tracking pollution, drilling for petroleum, evaluating soil, and monitoring ground water—is paramount in modern society. This new work covers a broad selection of topics, including use of satellite remote sensing to track pollution and weather patterns, monitoring for pre-earthquake signals, using earthquakes to uncover new information about the earth, desalination of ground water, predicting deforestation, and much more.


Author: Catherine Vanessa Anne Duke
Genre: Science
Publisher: CRC Press
ISBN: 9781420005691
Book Pages: 248
Format: PDF, ePub & Mobi

Tackling environmental issues such as global warming, ozone depletion, acid rain, water pollution, and soil contamination requires an understanding of the underlying science and chemistry of these processes in real-world systems and situations. Chemistry for Environmental and Earth Sciences provides a student-friendly introduction to the basic chemistry used for the mitigation, remediation, and elimination of pollutants. Written and organized in a style that is accessible to science as well as non-science majors, this textbook divides its content into four intuitive chapters: Fire, Earth, Water, and Air. The first chapter explains classical concepts in chemistry that occur in nature such as atomic and molecular structures, chemical bonding and reactions, states of matter, phase transitions, and radioactivity. Subsequent chapters focus on the chemistry relating to the geosphere, hydrosphere, and atmosphere—including the chemical aspects of soil, water, and air pollution, respectively. Chemistry for Environmental and Earth Sciences uses worked examples and case studies drawn from current applications along with clear diagrams and concise explanations to illustrate the relevance of chemistry to geosciences. In-text and end-of-chapter questions with complete solutions also help students gain confidence in applying concepts from this book towards solving current, real-world problems.


Author: Ashok N. Srivastava
Genre: Computers
Publisher: CRC Press
ISBN: 9781498703888
Book Pages: 208
Format: PDF, ePub & Mobi

From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.


Author: John Cater
Genre: Science
Publisher: CRC Press
ISBN: 9781134468898
Book Pages: 144
Format: PDF, ePub & Mobi

Here is a book for everyone who has an interest in how our planet works, what has happened during its 4,550 million year history and what might happen in the future. It tells how Earth scientists study the pattern of events that have shaped the planet and guided the evolution of life on Earth. In clear and simple language it describes how the effec


Author: National Learning Corporation
Genre: Study Aids
Publisher:
ISBN: 1731870469
Book Pages: 150
Format: PDF, ePub & Mobi


Author: Angela Gorgoglione
Genre: Science
Publisher: MDPI
ISBN: 9783039282104
Book Pages: 94
Format: PDF, ePub & Mobi

heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.


Author:
Genre: Earth sciences
Publisher:
ISBN: IND:30000123967535
Book Pages:
Format: PDF, ePub & Mobi


Author: Bai Tian
Genre: Science
Publisher: CRC Press
ISBN: 9781315349855
Book Pages: 258
Format: PDF, ePub & Mobi

This book starts with an overview of GIS technology, what GIS technology is, what it can do, what software products are available, etc. Then, throughout the book, the author explains with many case studies, programs, maps, graphics, and 3D models how GIS and other related technologies can be used to automate mapping processes, collect, process, edit, store, manage, and share datasets, statistically analyze data, model, and visualize large datasets to understand patterns, trends, and relationships to make educated decisions. This book is an excellent resource for anyone who is interested in GIS and related technologies, geology, natural resource, and environmental science.


Author: United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Subcommittee on Space, Aeronautics, and Related Sciences
Genre: Climatic changes
Publisher:
ISBN: MINN:31951D03670038U
Book Pages: 38
Format: PDF, ePub & Mobi