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Here, the author provides professionals in environmental research and management with the information they need with respect to computer modeling: An understanding of the mathematical fundamentals and the choice of the optimal approach and corresponding software for their particular task. Numerous illustrations, flowcharts and graphs, partly in color, as well as worked examples help in comprehending complex mathematical tasks and their solutions without the use of confusing mathematical formalism. Case studies form various fields of environmental research, such as landscape ecology, environmental assessment, population ecology, hydrology, and agroecology, facilitate the application of simulation models to the solution of real-world problems. Contains a detailed summary of currently available software tools and the application in spatially explicit simulation based on geographic information systems. The worked examples and case studies cover a broad range of environmental systems and processes, adopting such modern mathematical methodology as partial differential equations, fuzzy logic, hybrid Petri nets, and optimum control theory. The result is a unique presentation of applications for high standards modeling and simulation methodologies in the interdisciplinary fields of environmental research.
The purpose behind Computer Models in Environmental Planning is to provide a practical and applied guide to the use of these models in environmental planning and environmental impact analysis. Models concerning water quality, air quality, stormwater runoff, land capabil ity evaluationfland information systems, and hazardous waste dis posal are reviewed and critiqued. I have tried to emphasize the practical problems with data, computer capabilities, and other analyt ical questions that must be faced by the practitioner attempting to use these models. Thus, I do not delve too deeply into the theoretical underpinnings of the models, referring the reader instead to specialized references in this area. For each environmental area, I review the major models and methods, comparing their assumptions, ease of use, and other characteristics. Practical examples illustrate the benefits and problems of using each model. Computer models are increasingly being used by planning and engineering professionals for locating and planning public works, and industrial, commercial, and residential projects, while evaluating their environmental impacts. The requirements of the National Environ mental Policy Act and related state laws as well as separate state and federal laws concerning air and water quality, stormwater runoff, land use, and hazardous waste disposal have made the use of these methods mandatory in many circumstances. Yet, explanations of both the benefits and problems associated with supposedly easy-to-use com puter versions of these models and methods remain, at best, difficult to retrieve and, at worst, incomplete.
This book will help decision makers model nature-based solutions to the complex problem of sustainable development, locally and globally.
Many regulations issued by the U.S. Environmental Protection Agency (EPA) are based on the results of computer models. Models help EPA explain environmental phenomena in settings where direct observations are limited or unavailable, and anticipate the effects of agency policies on the environment, human health and the economy. Given the critical role played by models, the EPA asked the National Research Council to assess scientific issues related to the agency's selection and use of models in its decisions. The book recommends a series of guidelines and principles for improving agency models and decision-making processes. The centerpiece of the book's recommended vision is a life-cycle approach to model evaluation which includes peer review, corroboration of results, and other activities. This will enhance the agency's ability to respond to requirements from a 2001 law on information quality and improve policy development and implementation.
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.
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
An overview of issues involved in visualization technologies used in landscape and environmental planning. Covers a classification of the technology as well as a number of specialized applications across agricultural, industrial and urban planning.
This up-to-date and comprehensive reference presents the fundamentals of environmental planning, incorporating theory, practice and case studies. The book includes balanced coverage and real world examples to illustrate the concepts. Political, ethical, and societal considerations are all addressed. Presents the fundamentals of environmental planning and methodological material for analysis. Real world examples are provided to illustrate concepts. Political, ethical and societal considerations are addressed. Coverage is balanced between theoretical and practical.
Understanding the advancement of sustainable development is critical to managing human activities to avoid the overexploitation of resources and pollution of the environment beyond tolerable levels. Sustainable development involves not only preservation and care of the environment, but also recognition of the complex relations between economic, social and living systems. Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods presents processing methods and their applications, which are practical for decision making and task management at the regional level as well as for scientific studies in sustainable development assessment. This book serves as a reference guide for post-graduate students in the field of management as well as a critical guide for managers, government officials, and information professionals.
This book is open access under a CC BY-NC 4.0 license. This revised, updated textbook presents a systems approach to the planning, management, and operation of water resources infrastructure in the environment. Previously published in 2005 by UNESCO and Deltares (Delft Hydraulics at the time), this new edition, written again with contributions from Jery R. Stedinger, Jozef P. M. Dijkman, and Monique T. Villars, is aimed equally at students and professionals. It introduces readers to the concept of viewing issues involving water resources as a system of multiple interacting components and scales. It offers guidelines for initiating and carrying out water resource system planning and management projects. It introduces alternative optimization, simulation, and statistical methods useful for project identification, design, siting, operation and evaluation and for studying post-planning issues. The authors cover both basin-wide and urban water issues and present ways of identifying and evaluating alternatives for addressing multiple-purpose and multi-objective water quantity and quality management challenges. Reinforced with cases studies, exercises, and media supplements throughout, the text is ideal for upper-level undergraduate and graduate courses in water resource planning and management as well as for practicing planners and engineers in the field.