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Titlebook: Water Resources Engineering Risk Assessment; Jacques Ganoulis Conference proceedings 1991 Springer-Verlag Berlin Heidelberg 1991 Hydrologi

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Consideration of Reliability in System Design for Ground Water Remediationditions of uncertainty. The remedial action design method is based on the ability to evaluate system alternatives within the framework of a multiple-objective decision making scheme. The methodology considers uncertainty in system performance as an element of the decision making process by using geo
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Conference proceedings 1991ysis in waterresources and environmental engineering remains slow. One ofthe reasons seems to be the lack of training of engineerswith phenomena of statistical nature, including optimum costand benefit decisions under uncertainty. This book presents,in a unified and comprehensive framework, the vari
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Conference proceedings 1991lity data,stochasticsimulation of hydrosystems, decision theory underuncertaintyand case studies. Methods for risk analysis ofextremes in hydrology, groundwater clean-up, river andcoastal pollution as well as total risk management arepresented.
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0258-1256 ty and quality data,stochasticsimulation of hydrosystems, decision theory underuncertaintyand case studies. Methods for risk analysis ofextremes in hydrology, groundwater clean-up, river andcoastal pollution as well as total risk management arepresented.978-3-642-76973-3978-3-642-76971-9Series ISSN 0258-1256
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Risk in Coastal Pollutionhe methodology is illustrated for the design of the optimum sewage treatment and disposal scheme in the bay of Thessaloniki, where currents and water quality characteristics have been monitored during the period 1984-90.
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Risk in Coastal Pollutionhe methodology is illustrated for the design of the optimum sewage treatment and disposal scheme in the bay of Thessaloniki, where currents and water quality characteristics have been monitored during the period 1984-90.
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The Contribution of Long-Term Records of Hydrologic Extremes to Risk Analysesin or region during the last several centuries to millennia. Through the adaptation of existing methodologies, these records serve as prior information within the Bayesian framework and substantially improve the estimated parameters of the probability distribution functions of extreme phenomena.
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The Contribution of Long-Term Records of Hydrologic Extremes to Risk Analysesin or region during the last several centuries to millennia. Through the adaptation of existing methodologies, these records serve as prior information within the Bayesian framework and substantially improve the estimated parameters of the probability distribution functions of extreme phenomena.
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