Bayesian methods for analysing climate change and water resource uncertainties
Article Abstract:
Bayesian methods used for analyzing climate change uncertainties and their effects on water resource systems are more practical and easier to understand as compared to alternative paradigms for analyzing uncertainty. Bayesian analysis is capable of yielding inferences and recommendations for decisions which conform to these inferences. The methods have a comprehensive and coherent framework based on normatively appealing theoretical assumptions. The methods are capable of including different sources of information, such as subjective opinions, historical observations, and model outputs.
Publication Name: Journal of Environmental Management
Subject: Environmental issues
ISSN: 0301-4797
Year: 1997
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Source tracking fecal bacteria in water: A critical review of current methods
Article Abstract:
The evaluation of various molecular and biochemical methods used in watersheds and some advantages and disadvantages of each method is presented. The source tracking methodologies that are in current use for source tracking fecal bacteria in the environment, like ribotyping, pulse-field gel electrophoresis, denaturing-gradient gel electrophoresis, repetitive DNA sequences (Rep-PCR), host-specific 16S rDNA genetic markers, and antibiotic resistance analysis, are given.
Publication Name: Journal of Environmental Management
Subject: Environmental issues
ISSN: 0301-4797
Year: 2004
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Non-point source water quality management under input information uncertainty
Article Abstract:
A simple simulation model is the best approach to describe the relationship between farming practices and water quality. The linked simulation-optimization Sediment Economic Simulation and Optimization (SEDEC) model is described, and the Monte Carlo Simulation and Generalized Sensitivity and Regret Analyses are used for accounting for uncertainty in SEDEC model inputs. A case-study based on the Highland Silver Lake Watershed in Illinois is discussed.
Publication Name: Journal of Environmental Management
Subject: Environmental issues
ISSN: 0301-4797
Year: 1999
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