Community and Environmental Simulations PDF Download

Author: James D. Harrison
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: James D. Harrison
Publisher:
ISBN:
Category : Nature
Languages : en
Pages : 174

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Author: R.W. Marans
Publisher: Springer Science & Business Media
ISBN: 1489911405
Category : Science
Languages : en
Pages : 334

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Book Description
This volume is intended to provide an overview and scholarly analysis of state-of-the-art developments within the field of environmental simulation research. Environmental simulation involves the presentation of scale model previews, full-scale mock-ups, and computer images of planned environments and activities taking place within them to designers and to prospective users of those settings. Environmental simulations are under taken for many purposes, including (1) the training of environmental de sign students and professionals, (2) the assessment of people's environ mental preferences, and (3) the incorporation of observers' assessments of simulated settings into the planning, design, and renovation of actual envi ronments to maximize the degree of fit between occupants' needs and the arrangement of their physical surroundings. Environmental simulation research has expanded rapidly during the past two decades as the result of increasing collaboration between behav ioral and social scientists, environmental designers, and professional plan ners. During this period, alternative conceptual and methodological ap proaches to environmental simulation have emerged, and numerous programs of simulation research have been initiated worldwide. To date, however, no attempt has been made to present a comprehensive review and assessment of these research developments and an analysis of their implications for design and public policy. Accordingly, the major objectives of this volume are to provide an overview of key conceptual and meth odological advances within the field of environmental simulation research and to place these diverse developments within a broader scientific and public policy context.

Author: Miguel F. Acevedo
Publisher: CRC Press
ISBN: 1466553898
Category : Science
Languages : en
Pages : 486

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Given the importance of interdisciplinary work in sustainability, Simulation of Ecological and Environmental Models introduces the theory and practice of modeling and simulation as applied in a variety of disciplines that deal with earth systems, the environment, ecology, and human-nature interactions. Based on the author's many years of teaching g

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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As part of the Environmental Effects for Distributed Interactive Simulations (E2DIS) Project, Science and Technology Corp. (STC) conducted a survey of the DoD environmental science community to identify cloud modeling and other environmental capabilities that support or could potentially support military modeling and simulation (M & S) efforts. STC also surveyed the DoD M & S community to determine its requirements for environmental data and models of environmental effects. The resulting data were stored in a PC-based relational database. STC organized and conducted two tri-service Cloud Impacts on DoD Operations and Systems (CIDOS) conferences to facilitate the exchange of information on cloud modeling techniques and applications for the benefit of the DoD environmental science community. STC determined the detailed requirements for weather effects products and decision aids for specific Air Force operational electro-optical systems.

Author: Miguel F. Acevedo
Publisher: CRC Press
ISBN: 1439885060
Category : Science
Languages : en
Pages : 489

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Book Description
Given the importance of interdisciplinary work in sustainability, Simulation of Ecological and Environmental Models introduces the theory and practice of modeling and simulation as applied in a variety of disciplines that deal with earth systems, the environment, ecology, and human–nature interactions. Based on the author’s many years of teaching graduate and undergraduate students in the United States, Spain, and Latin America, the textbook shows how to implement simulations and analyze the results using an open-source software platform. Learn How to Use a Broad Range of Environmental Models The textbook is organized into three parts to allow greater flexibility using the material in various countries and types of curricula. The first part provides a tutorial-style mathematical review and a gentle introduction to the basics of R software. The second part explains the fundamentals of modeling methodology through one-dimensional models. After a review of matrix algebra, the third part progresses to multidimensional models, focusing on structured populations, communities, and ecosystems. The final chapters show how simple models are hooked together to generate more comprehensive models. Build from Fundamental Concepts to Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions let students grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seem, an open-source R package developed by the author, which lets students quickly produce simulations and explore the effects of changing conditions in the model. This practical book is a comprehensive, unified presentation of ecological and environmental models. It describes the mathematical fundamentals to analyze models and the methodology to simulate them, with a focus on understanding environmental change—a key element of environmental management and problem solving.

Author: John L. Taylor
Publisher:
ISBN:
Category : Educational games
Languages : en
Pages : 118

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Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309494117
Category : Technology & Engineering
Languages : en
Pages : 109

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On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop.

Author: Richard Langdon Rowland
Publisher:
ISBN:
Category :
Languages : en
Pages : 182

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Author: Olufemi O. Osidele
Publisher: Universal-Publishers
ISBN: 1581121474
Category : Science
Languages : en
Pages : 219

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Simulation modeling is arguably the most versatile scientific tool for predicting the future environment. However, the reliability of model-based predictions is limited to the behavior domain defined by the historical data employed for conceptualizing and calibrating the model. Future changes in external inputs and internal structure tend to produce system behavior significantly different from prior predictions. To abate this seeming lack of credibility, it is now customary to qualify model predictions with uncertainty estimates. This dissertation explores the complementary approach of back-casting future scenarios. Centered on the analysis of uncertainty, a methodological framework is developed for the computational evaluation of environmental futures, driven by stakeholder participation as a means for establishing credibility in the model. The analysis reveals possible structural change between the observed past and speculated future scenarios by comparing the ranking of key sources of uncertainty in model outputs. Three sampling-based methods are employed: Regionalized Sensitivity Analysis (RSA), Tree-Structured Density Estimation (TSDE), and Uniform Covering by Probabilistic Rejection (UCPR). RSA and TSDE are tested for identifying and ranking the key factors that influence ecological behavior in Lake Oglethorpe, Georgia, and UCPR, for recovering parameters of a rainfall-runoff model of an experimental watershed near Loch Ard, Scotland. The framework is applied to an integrated assessment of ecological behavior in Lake Lanier, Georgia. Stakeholders' fears and desires for the future state of the reservoir are elicited and encoded for analysis. The results indicate: (i) that the desired future is more reachable, and accompanied by more significant structural change, than the feared future, and (ii) that sediment-water-nutrient interactions, secondary production, and microbial processes play a critical role in the future ecological behavior of the reservoir. Thus, it is possible to: (i) confirm or refute stakeholder concerns for the future environment, (ii) inform priorities for future environmental policy actions, (iii) identify critical gaps in current knowledge, in order to prioritize future scientific research, and (iv) promote adaptive community learning, through the continual mutual feedback between scenario-generation and systematic analysis. By bridging the gap between stakeholder imagination and scientific theory, through computational analysis, the framework provides a promising direction for integrated environmental assessment.