Subsurface Environmental Modelling Between Science and Policy, Scheer Dirk, Class Holger, Flemisch Bernd
Автор: Scheer Dirk, Class Holger, Flemisch Bernd Название: Subsurface Environmental Modelling Between Science and Policy ISBN: 3030511804 ISBN-13(EAN): 9783030511807 Издательство: Springer Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a broad overview of essential features of subsurface environmental modelling at the science-policy interface, offering insights into the potential challenges in the field of subsurface flow and transport, as well as the corresponding computational modelling and its impact on the area of policy- and decision-making.
Автор: P. Schulz; Rainer Helmig Название: Multiphase Flow and Transport Processes in the Subsurface ISBN: 3642645453 ISBN-13(EAN): 9783642645457 Издательство: Springer Рейтинг: Цена: 15957.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One important precondition for modeling multiphase flow and transport processes in the hydrosystem "subsurface" is the general formulation of a model.
Автор: Caers Название: Quantifying Uncertainty in Subsurface Systems ISBN: 1119325838 ISBN-13(EAN): 9781119325833 Издательство: Wiley Рейтинг: Цена: 25019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Under the Earth's surface is a rich array of geological resources, many with potential use to humankind. However, extracting and harnessing them comes with enormous uncertainties, high costs, and considerable risks. The valuation of subsurface resources involves assessing discordant factors to produce a decision model that is functional and sustainable. This volume provides real-world examples relating to oilfields, geothermal systems, contaminated sites, and aquifer recharge.
Volume highlights include:
A multi-disciplinary treatment of uncertainty quantification
Case studies with actual data that will appeal to methodology developers
A Bayesian evidential learning framework that reduces computation and modeling time
Quantifying Uncertainty in Subsurface Systems is a multidisciplinary volume that brings together five major fields: information science, decision science, geosciences, data science and computer science. It will appeal to both students and practitioners, and be a valuable resource for geoscientists, engineers and applied mathematicians.
Read the Editors' Vox: https: //eos.org/editors-vox/quantifying-uncertainty-about-earths-resources
Reviews, The Leading Edge, SEG, May 2020
The subsurface medium created by geologic processes is not always well understood. The data we collect in an attempt to characterize the subsurface can be incomplete and inaccurate. However, if we understand the uncertainty of our data and the models we generate from them, we can make better decisions regarding the management of subsurface resources. Modeling and managing subsurface resources, and properly characterizing and understanding the uncertainties, requires the integration of a variety of scientific and engineering disciplines.
Five case studies are outlined in the introductory chapter, which are used to demonstrate various methods throughout the book. The second chapter introduces the basic notions in decision analysis. Uncertainty quantification is only relevant within the decision framework used. Models alone do not quantify uncertainty, but do allow the determination of key variables that influence models and decisions. Next, an overview of the various data science methods relevant to uncertainty quantification in the subsurface is provided. Sensitivity analysis is then covered, specifically Monte Carlo-based sensitivity analysis. The next three chapters develop the Bayesian approach to uncertainty quantification, and this is the focus of the book.
All of this is brought together in Chapter 8, which describes a solution regarding quantifying the uncertainties for each of the problems presented in the first chapter. The authors admit that it is not the only solution. No single solution fits all problems of uncertainty quantification. The results in this chapter allow the reader to see the previously described methods applied and how choices influence models and decisions. The final two chapters discuss various software components necessary to implement the strategies presented in the book and challenges faced in the future of uncertainty quantification.
The book uses a number of relevant subsurface problems to explore the various aspects of uncertainty quantification. Understanding uncertainty, and how it affects modeling and decision outcomes, is not always straightforward. However, it is necessary in order to make good, consistent decisions. The book is not an easy read. Some portions require good mathematical understanding of the underlying principles. However, the book is well documented and organized. I would say that is not a good book for a beginner, but it is a good resource for someone to get a grounding to go further into the subject. I appreciate the authors putting together this book on a complex problem that is important to our industry.
-- Da
Автор: Bhattacharya Shuvajit Название: A Primer on Machine Learning in Subsurface Geosciences ISBN: 3030717674 ISBN-13(EAN): 9783030717674 Издательство: Springer Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences.
Автор: Caja Thimm; Mario Anastasiadis; Jessica Einsp?nner Название: Media Logic(s) Revisited ISBN: 3030097471 ISBN-13(EAN): 9783030097479 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume provides new approaches to the concept of media logics – developed by Altheide and Snow – by drawing on theoretical and empirical perspectives from international scientists working in the field of communications, media, political science, and sociology. In an increasingly digitized and globalized world, powerful media structures and technologies influence our daily lives in many respects. It is not only mass media but ‘poly media channels’ that become more and more contextualized in everyday lives. Therefore, it is necessary to revisit the theory of media logics, which focuses on the strong intercorrelation of media technologies, media institutions and media power. Media Logic(s) Revisited attends to this by critically reflecting on the idea of media logic, a much needed input in light of current developments and strong cultural embedding of media in various social contexts.
Автор: Jean-Claude Duplessy; Marie-Therese Spyridakis Название: Long-Term Climatic Variations ISBN: 3642790682 ISBN-13(EAN): 9783642790683 Издательство: Springer Рейтинг: Цена: 19377.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Study Institute on Long-Term Climatic Variations-Data and Modelling, held at Siena, Italy, September 27-October 11, 1992
Описание: IoT-based Computational Modeling for Next Generation Agro-ecosystems: Research Issues, Emerging Trends and Challenges.- An IoT-Based Time Constrained Spectrum Trading in Wireless Communication for Tertiary Market.- 5G NB-IoT Enabled Smart Green Agriculture 4.0: A Survey.- Drones for Intelligent Agricultural Management.- Multi-Modal Sensor Nodes in Experimental Scalable Agricultural IoT Application Scenarios.- Design Architecture of Intelligent Agri-Infrastructure Incorporating IoT and Cloud: Link Budget and Socio-Economic Impact.- Remote Sensing and Soil Quality.- Enabling IoT Wireless Technologies in Sustainable Livestock Farming toward Agriculture 4.0.
Описание: The discovery and development of new computational methods have expanded the capabilities and uses of simulations. With agent-based models, the applications of computer simulations are significantly enhanced.Multi-Agent-Based Simulations Applied to Biological and Environmental Systems is a pivotal reference source for the latest research on the implementation of autonomous agents in computer simulation paradigms. Featuring extensive coverage on relevant applications, such as biodiversity conservation, pollution reduction, and environmental risk assessment, this publication is an ideal source for researchers, academics, engineers, practitioners, and professionals seeking material on various issues surrounding the use of agent-based simulations.
Описание: Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus provides a holistic, conceptual and quantitative framework for Environmental Health Modelling in space-time.
Автор: Saravanan R. Название: The Climate Demon: Past, Present, and Future of Climate Prediction ISBN: 131651076X ISBN-13(EAN): 9781316510766 Издательство: Cambridge University Press Рейтинг: Цена: 18174.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Climate predictions - and the computer models behind them - play a key role in shaping public opinion on climate change. Providing an accessible introduction to the history, science, and philosophy of climate modeling, it is for anyone with an interest in climate change and a basic knowledge of science.
Автор: Rahman Название: Advancements in Urban Environmental Studies ISBN: 3031215869 ISBN-13(EAN): 9783031215865 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Нет в наличии.
Описание: According to UN estimates, approximately nearly half of the world's population now lives in cities and that figure is expected to rise to almost 70% by 2050. Cities now account for around 70% of worldwide greenhouse gas emissions, and this percentage is predicted to rise in the near future as a result of projected increases in global urbanization patterns. It is widely acknowledged that irrational urban planning and design can increase emissions while also exacerbating threats and risks, resulting in a slew of environmental issues such as urban heat islands, air pollution, flooding, amongst other issues, as well as environmental, social, and economic losses. Therefore, these concerns must be addressed promptly in order to cope up with these rising difficulties and make urban environments safer for residents. With the advancement of remote sensing technology and the use of current remote observation systems, urban data science, remote sensing, and artificial intelligence (AI), modeling and quantifying emergent difficulties in urban regions and urban systems have become easy. They aid in the quantitative analysis of urban shape, functions, and human behavior in cities. Harvesting data, developing models, and suggesting new methodologies will be aided by combining urban ecology with new breakthroughs in data science. This book is of great value to a diverse group of academicians, scientists, students, environmentalists, meteorologists, urban planners, remote sensing and GIS experts with a common interest in geospatial sciences within the earth environmental sciences, as well as human and social sciences.
Автор: Robin Crockett Название: A Primer on Fourier Analysis for the Geosciences ISBN: 1107142881 ISBN-13(EAN): 9781107142886 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An intuitive introduction to basic Fourier theory, with an emphasis on geoscience applications. Numerous worked examples from R are used to illustrate the theory, making this an ideal practical guide for graduate students and researchers who are using time-series analysis to quantify periodic features in geoscience data.
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