Computers in Earth and Environmental Sciences

Computers in Earth and Environmental Sciences
Author: Hamid Reza Pourghasemi
Publisher: Elsevier
Total Pages: 726
Release: 2021-09-22
Genre: Science
ISBN: 0323886159

Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management addresses the need for a comprehensive book that focuses on multi-hazard assessments, natural and manmade hazards, and risk management using new methods and technologies that employ GIS, artificial intelligence, spatial modeling, machine learning tools and meta-heuristic techniques. The book is clearly organized into four parts that cover natural hazards, environmental hazards, advanced tools and technologies in risk management, and future challenges in computer applications to hazards and risk management. Researchers and professionals in Earth and Environmental Science who require the latest technologies and advances in hazards, remote sensing, geosciences, spatial modeling and machine learning will find this book to be an invaluable source of information on the latest tools and technologies available. - Covers advanced tools and technologies in risk management of hazards in both the Earth and Environmental Sciences - Details the benefits and applications of various technologies to assist researchers in choosing the most appropriate techniques for purpose - Expansively covers specific future challenges in the use of computers in Earth and Environmental Science - Includes case studies that detail the applications of the discussed technologies down to individual hazards

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences
Author: Zhiming Zhao
Publisher: Springer Nature
Total Pages: 375
Release: 2020-07-24
Genre: Computers
ISBN: 3030528294

This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a ‘reference model guided’ engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.

Earth Science

Earth Science
Author: Edgar Winston Spencer
Publisher: McGraw-Hill Science, Engineering & Mathematics
Total Pages: 550
Release: 2003
Genre: Science
ISBN:

Earth Science: Understanding Environmental Systemsis intended for introductory courses in Earth Science and Earth Systems Science, which place emphasis on the systems approach to earth science with special attention to the impact these systems have on the environment. It is appropriate for non-science majors with no previous college science or mathematics courses.The primary goals of this book are to provide the background the general student needs to understand the way Earth works, how knowledge of Earth relates to the environmental issues confronting our society, and how scientists go about examining these issues.

Grand Challenges in Environmental Sciences

Grand Challenges in Environmental Sciences
Author: National Research Council
Publisher: National Academies Press
Total Pages: 107
Release: 2001-05-24
Genre: Nature
ISBN: 0309072549

Scientists have long sought to unravel the fundamental mysteries of the land, life, water, and air that surround us. But as the consequences of humanity's impact on the planet become increasingly evident, governments are realizing the critical importance of understanding these environmental systemsâ€"and investing billions of dollars in research to do so. To identify high-priority environmental science projects, Grand Challenges in Environmental Sciences explores the most important areas of research for the next generation. The book's goal is not to list the world's biggest environmental problems. Rather it is to determine areas of opportunity thatâ€"with a concerted investmentâ€"could yield significant new findings. Nominations for environmental science's "grand" challenges were solicited from thousands of scientists worldwide. Based on their responses, eight major areas of focus were identifiedâ€"areas that offer the potential for a major scientific breakthrough of practical importance to humankind, and that are feasible if given major new funding. The book further pinpoints four areas for immediate action and investment.

Introduction to Python in Earth Science Data Analysis

Introduction to Python in Earth Science Data Analysis
Author: Maurizio Petrelli
Publisher: Springer Nature
Total Pages: 229
Release: 2021-09-16
Genre: Science
ISBN: 3030780554

This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.

Artificial Intelligence Methods in the Environmental Sciences

Artificial Intelligence Methods in the Environmental Sciences
Author: Sue Ellen Haupt
Publisher: Springer Science & Business Media
Total Pages: 418
Release: 2008-11-28
Genre: Science
ISBN: 1402091192

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Machine Learning Methods in the Environmental Sciences

Machine Learning Methods in the Environmental Sciences
Author: William W. Hsieh
Publisher: Cambridge University Press
Total Pages: 364
Release: 2009-07-30
Genre: Computers
ISBN: 0521791928

A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.

Environmental Science: Foundations and Applications

Environmental Science: Foundations and Applications
Author: Andrew Friedland
Publisher: Macmillan
Total Pages: 718
Release: 2011-02-25
Genre: Science
ISBN: 1429240296

Watch a video clips and view sample chapters at www.whfreeman.com/friedlandpreview Created for non-majors courses in environmental science, environmental studies, and environmental biology, Environmental Science: Foundations and Applications emphasizes critical thinking and quantitative reasoning skills. Students learn how to analyze graphs, measure environmental impact on various scales, and use simple calculations to understand key concepts.With a solid understanding of science fundamentals and how the scientific method is applied, students are able to evaluate information objectively and draw their own conclusions. The text equips students to interpret the wealth of data they will encounter as citizens, professionals, and consumers.

Atmospheres and Oceans on Computers

Atmospheres and Oceans on Computers
Author: Lars Petter Røed
Publisher: Springer
Total Pages: 293
Release: 2018-09-04
Genre: Science
ISBN: 3319938649

This textbook introduces step by step the basic numerical methods to solve the equations governing the motion of the atmosphere and ocean, and describes how to develop a set of corresponding instructions for the computer as part of a code. Today's computers are powerful enough to allow 7-day forecasts within hours, and modern teaching of the subject requires a combination of theoretical and computational approaches. The presentation is aimed at beginning graduate students intending to become forecasters or researchers, that is, users of existing models or model developers. However, model developers must be well versed in the underlying physics as well as in numerical methods. Thus, while some of the topics discussed in the modeling of the atmosphere and ocean are more advanced, the book ensures that the gap between those scientists who analyze results from model simulations and observations and those who work with the inner works of the model does not widen further. In this spirit, the course presents methods whereby important balance equations in oceanography and meteorology, namely the advection-diffusion equation and the shallow water equations on a rotating Earth, can be solved by numerical means with little prior knowledge. The numerical focus is on the finite-difference (FD) methods, and although more powerful methods exist, the simplicity of FD makes it ideal as a pedagogical introduction to the subject. The book also includes suitable exercises and computer problems.