Computational Modeling Applications For Climate Crisis
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Computational Modeling Applications for Climate Crisis
Computational Modeling Applications for Climate Crisis provides readers with innovative research on the applications of computational modeling to moderate climate change. The book begins with an overview and history of climate change, followed by several chapters covering the concepts of computational modeling and simulation, including parameters of climate change, modeling the effects of human activities, visualization tools, and data fusion for advanced modeling applications. It then proceeds to cover decision support systems, modeling of technological solutions for climate change, modeling of greenhouse gas emissions, tracking of climate factors, and modeling of earth resources. In the final chapters of the book, the authors cover nation-based outcomes, big data, and optimization solutions with real-world data and case studies. Climate change is one of the most pressing existential issues for humans and the planet, and this book covers leading-edge applications of computational modeling to the vast array of interdisciplinary factors and challenges posed by climate change. As life itself is a mixture of occurrences that can be mathematically modelled, it is important to work with specific parameters, which are critical for monitoring and controlling the dynamics of the earth, natural resources, technological factors, and human activities. - Illustrates how computational modeling techniques can be used for dealing with the climate crisis, including simulations, multi-mode-data, usage, and visualization-based research - Provides case studies demonstrating innovative solutions to moderate climate change, including mathematical, visual, and multi-data-based findings of applied research - Authored by leading researchers in computational modeling
Modeling and Simulation of Environmental Systems
This book presents an overview of modeling and simulation of environmental systems via diverse research problems and pertinent case studies. It is divided into four parts covering sustainable water resources modeling, air pollution modeling, Internet of Things (IoT) based applications in environmental systems, and future algorithms and conceptual frameworks in environmental systems. Each of the chapters demonstrate how the models, indicators, and ecological processes could be applied directly in the environmental sub-disciplines. It includes range of concepts and case studies focusing on a holistic management approach at the global level for environmental practitioners. Features: Covers computational approaches as applied to problems of air and water pollution domain. Delivers generic methods of modeling with spatio-temporal analyses using soft computation and programming paradigms. Includes theoretical aspects of environmental processes with their complexity and programmable mathematical approaches. Adopts a realistic approach involving formulas, algorithms, and techniques to establish mathematical models/computations. Provides a pathway for real-time implementation of complex modeling problem formulations including case studies. This book is aimed at researchers, professionals and graduate students in Environmental Engineering, Computational Engineering/Computer Science, Modeling/Simulation, Environmental Management, Environmental Modeling and Operations Research.
Computational Models in the Economics of Environment and Development
Author: A.K. Duraiappah
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Computational Models in the Economics of Environment and Development provides a step-by-step guide in designing, developing, and solving non-linear environment-development models. It accomplishes this by focusing on applied models, using real examples as case studies. Additionally, it gives examples of developing policy interventions based on quantitative model results. Finally, it uses a simple computer program, GAMS, to develop and solve models. This book is targeted towards university lecturers and students in economic modeling and sustainable development, but is also of particular interest to researchers at sustainable development research institutes and policy makers at international sustainable development policy institutions such the World Bank, UNDP, and UNEP.