Risk-based Water Quality Management in River System

摘要

Presence of uncertainties and varieties in the model input variables and parameters is one major challenge in the river water quality management practice. A risk-based framework is developed to address the problems derived from uncertainties and varieties in the river water quality management work and assess the performance risk of waste load allocation strategies in compliance with the water quality management goal. Monte Carlo simulation technique is applied to take the different uncertainties into account. Regional sensitivity analysis using a task-based Hornberger-Spear-Young (HSY) algorithm is conducted to identify the sensitive point sources, sort them according to their sensitivities and produce available strategies of waste load allocation for the pollution sources.