Computer Generated Physical Properties (Computer Modeling for Environmental Management)

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Computer Generated Physical Properties (Computer Modeling for Environmental Management) Overview

Computer Generated Physical Properties offers the environmental scientist a basis to predict the properties of molecules and reengineer them to remove those properties that are harmful to the environment. This technology is currently used in other fields and is now becoming popular in the environmental engineering field because of its pollution prevention and waste reduction capabilities.This book, interdisciplinary in scope, treats the physical properties of matter as generated by computers. It covers a wide variety of topics pointing towards synthesizing new molecules to substitute for reactants, intermediaries, and products in industrial processes with better physical and environmental properties than the original. The author achieves this with a spreadsheet program called SYNPROPS that operates on a PC computer with optimization features. A radar type graph - one for each property - visually sorts the various groups in order of their contribution to the property, creating the necessity for a computer to obtain answers for the structure of the optimum molecules for substitution or synthesis.The author discusses applications to biologically active molecules without side effects, including antineoplatic drugs. Additionally, he demonstrates model compounds and the applications of SYNPROPS' optimization and substitution. This book has everything you need to know about deriving properties and combinational chemistry from molecular structure.

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Dynamics of Environmental Bioprocesses: Modelling and Simulation

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Dynamics of Environmental Bioprocesses: Modelling and Simulation Overview

Dynamic environmental processes are complex; the easiest and most effective way to understanding them lies through the disciplines of dynamic modelling and computer simulation.

The prerequisite modelling fundamentals are presented in the first chapter in a manner comprehensible to students as well as to practising scientists and engineers. The second chapter describes the many environmental processes that lend themselves to modelling, for example pollution and wastewater treatment. The third part of the book provides 65 simulation examples both on the page and on an accompanying diskette in the simulation language ISIM - the first time that this has been done with a teaching book in this field - ready-to-run on any DOS personal computer. Crucially, the simulation runs can be interrupted to allow rapid interactive parameter changes and easy plotting of results; this enables the reader to get a feel for the model and system behaviour.

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GIS Environmental Modelling and Engineering

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GIS Environmental Modelling and Engineering Overview

Over the past decade environmental modelling (EM) has become increasingly seen to be significant, and is now seen as an important application of GIS. Both public and private sectors are now concerned about the environment, and widely recognise the need to assess and prevent against potential impacts.

This book aims to focuses on modelling, rather than on data collection or visualisation and aims to develop critical users for GIS and EM.

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Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences (Contributions to Economics)

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Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences (Contributions to Economics) Overview

The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.

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• Agent-Based Models (Quantitative Applications in the Social Sciences)
• Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
• Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
• Simulation for the Social Scientist
• Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation