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Books > Earth & environment > The environment > Pollution & threats to the environment
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Decision Support Systems for Risk-Based Management of Contaminated Sites (Hardcover, 1st Edition.
2nd Printing. 2008)
Loot Price: R3,140
Discovery Miles 31 400
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Decision Support Systems for Risk-Based Management of Contaminated Sites (Hardcover, 1st Edition.
2nd Printing. 2008)
Expected to ship within 10 - 15 working days
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Decision Support Systems for Risk-Based Management of Contaminated
Sites addresses decision making in environmental risk management
for contaminated sites, focusing on the potential role of decision
support systems in informing the management of chemical pollutants
and their effects. Considering the environmental relevance and the
financial impacts of contaminated sites all over the
post-industrialized countries and the complexity of decision making
in environmental risk management, decision support systems can be
used by decision makers in order to have a more structured analysis
of a problem at hand and define possible options of intervention to
solve the problem. Accordingly, the book provides an analysis of
the main steps and tools for the development of decision support
systems, namely: environmental risk assessment, decision analysis,
spatial analysis and geographic information system, indicators and
endpoints. Sections are dedicated to the review of decision support
systems for contaminated land management and for inland and coastal
waters management. Both include discussions of management problem
formulation and of the application of specific decision support
systems. This book is a valuable support for environmental risk
managers and for decision makers involved in a sustainable
management of contaminated sites, including contaminated lands,
river basins and coastal lagoons. Furthermore, it is a basic tool
for the environmental scientists who gather data and perform
assessments to support decisions, developers of decision support
systems, students of environmental science and members of the
public who wish to understand the assessment science that supports
remedial decisions.
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