Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management
- ISBN-10
- 0323886159
- ISBN-13
- 9780323886154
- Category
- Computers
- Pages
- 704
- Language
- English
- Published
- 2021-09-22
- Publisher
- Elsevier
- Author
- Hamid Reza Pourghasemi
Description
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
Get the book
Other editions
-
- 2021-09-22
- 702 pages
- Paperback
- Elsevier
Similar books
-
Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges
By Zhiming Zhao, Margareta Hellström(2012), statistical tests by Vickers and Mahrt (1997) and by Foken and Wichura (1996) for data quality control, ... by each raw file (min) The number of records per second in raw files (10 or 20 Hz) Specify the format of raw files ...
-
Mechanics in the Earth and Environmental Sciences
By Gerard V. Middleton, Peter R. Wilcock10.6 Lava The Bingham plastic model has also been applied to lava flows , notably by Johnson ( 1970 ) and Hulme ( 1974 ) . For a recent review see Huppert ( 1986 ) . The following evidence suggests that lava 356 Flow of natural ...
-
Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels
By William W. HsiehA graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
-
Computational Intelligence for Water and Environmental Sciences
By Omid Bozorg-Haddad, Babak Zolghadr-AsliIn M. Abrunhosa, A. Chambel, S. Peppoloni, & H. I. Chaminé (Eds.) Advances in geoethics and groundwater management: Theory and practice for a sustainable development. Proceedings of the 1st Congress on Geoethics and Groundwater ...
-
Spatial Modeling in GIS and R for Earth and Environmental Sciences
By Hamid Reza Pourghasemi, Candan GokceogluThe book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes.
-
Phase Change: The Computer Revolution in Science and Mathematics
By Douglas S. Robertson, Adjunct Professor in Department of Geological Sciences a Fellow of the Institute for Research in Environmental Sciences and a Member of the Colorado Center for Chaos and Complexity Douglas S RobertsonPhase Change builds on and deepens his assessment of the role of the computer as a tool driving profound change by examining the role of computers in changing the face of the sciences and mathematics.
-
Statistics for Earth and Environmental Scientists
By John H. Schuenemeyer, Lawrence J. DrewThis measure of correlation is sometimes called Pearson's correlation coefficient, to distinguish it from a nonparametric measure called Spearman's correlation coefficient, which will be introduced shortly.
-
Sustainable Development in Changing Complex Earth Systems
By Attila Kerényi, Richard William McIntoshEarthscan Publications, London Courtillot V, Davaille A, Besse J et al (2003) Three distinct types of hotspots in the Earth's ... Glob Ecol Biogeogr19:589–606. https://doi. org/10.1111/j.1466-8238.2010.00540.x Elser J, Bennett E (2011) ...
-
Environmental Science: Understanding Our Changing Earth
By The American Geological InstituteImportant Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
-
High Performance Computing for Geospatial Applications
By Shaowen Wang, Wenwu TangThis volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications.