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.

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 from 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 standard modeling and simulation methodologies in the interdisciplinary fields of environmental research. From the Foreword by Robert Costanza (Gund Institute of Ecological Economics, Burlington, VT, USA): "As a teacher of environmental modeling, I've been searching for many years for the perfect text to use courses. My search has ended with the publication of Ralf Seppelt's book and I intend to use it as a core text in modeling courses."

Personal computers have made life convenient in many ways, but what about their impacts on the environment due to production, use and disposal? Manufacturing computers requires prodigious quantities of fossil fuels, toxic chemicals and water. Rapid improvements in performance mean we often buy a new machine every 1-3 years, which adds up to mountains of waste computers. How should societies respond to manage these environmental impacts? This volume addresses the environmental impacts and management of computers through a set of analyses on issues ranging from environmental assessment, technologies for recycling, consumer behaviour, strategies of computer manufacturing firms, and government policies. One conclusion is that extending the lifespan of computers (e.g. through reselling) is an environmentally and economically effective strategy that deserves more attention from governments, firms and the general public.

An integration of the fascinating stream of computers with an equally fascinating domain of environmental studies has given birth to the new branch of science we call, Computer-aided Environmental Management (CAEM). This book provides us with glimpses of the power CAEM can wield. It gives us insights into the innumerable ways in which CAEM can solve intricate practical problems of environmental pollution in a sophisticated yet inexpensive manner. Contents: COBAS: Cost Benefit Analysis of Anaerobic Digester Systems, Water Quality Modelling: Approaches to Water Pollution Forecasting and Management, Modelling of Buckingham Canal Water Quality, Modelling and Simulation of Heavy Gas Dispersion on the Basis of Modification in Plume Path Theory, Case Study: Modelling and Simulation of Heavy Gases Released by Petrochemical Industries, HAZDIG: A new Software Package for Assessing Accidental Release and Dispersion Characteristics, Attenuation of Gaseous Pollutants by Greenbelts, TORAP A New Tool for Conducting Rapid Risk Assessment in Petroleum Refineries and Petrochemical Industries, Case Study: Application of a New Computer Automated Tool TORAP in Conducting Risk Assessment of a Petrochemical Industry, Models for Domino Effect Analysis in Chemical Process Industries, Studies on the Probabilities are Likely Impacts of Chains of Accident (Domino Effect) in a Fertilizer Industry.

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

The present book is a pioneering work on environmental management for sustainable development. This up-to-date and comprehensive textbook integrates the concepts of environmental science with environmental management dealing with different management tools for achieving sustainable development. The text is suitable for environmental science and management, MBA and BBA students both at undergraduate and postgraduate levels.

This book consolidates and summarizes smart technologies like IoT, edge computing, and AI used in different aspects of waste material management, mitigation, and recycling for a sustainable environment. One of the cases explains how IoT-based systems and wireless sensors can be used to continuously detect common pollutants such as volatile organic compounds (VOCs), carbon monoxide, and particulate matter (PM) and how the data collected are used to assess the overall air quality and determine actions for improvements. A collection of practical case studies, this book provides a comprehensive knowledge in smart waste management to readers in universities, research centers, and industries.

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering

Environmental informatics is a field of applied computer science that develops and uses the techniques of information processing for environmental protection, research and engineering. The multidisciplinary nature of environmental problems needs environmental informatics as a bridge and mediator between many disciplines and institutions. The present book presents a wide range of topics currently being pursued in the area, including basic methodological issues and typical applications. A significant number of recognised experts have contributed to the volume, discussing the methodology and application of environmental monitoring, environmental databases and information systems, GIS, modeling software, environmental management systems, knowledge-based systems, and the visualisation of complex environmental data. For scholarly and professional practitioners of environmental management who wish to acquire well-founded knowledge of environmental information processing and specialists in applied computer science who wish to learn more about the contribution of their field to the solution of our urgent environmental problems.