[Risk assessment of river water quality under accidental pollution based on Bayesian networks].

Abstract

Risk assessment for accidental pollution plays an important role in river water quality management. Bayesian networks can be applied to represent the relationship between pollution sources and river water quality intuitively. A time sequential Monte Carlo algorithm, integrated with pollution sources model, water quality model and Bayesian reasoning, is… (More)

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