UNCERTAINTY ABOUT WATER QUALITY MATHEMATICAL MODELLING APPLIED TO AN URBAN RIVER
Abstract
Mathematical models of water quality have been used as a way to assist managers on the control of water pollution. However, the uncertainties of the input parameters affect the model predictions and therefore the decision on the management process. So, it becomes necessary to identify the input variables that directly affect the uncertainty of the output results of the simulation model. To investigate the uncertainties involved in predicting the minimum concentration of dissolved oxygen, a sensitivity analysis was carried through from using a stochastic method on a deterministic simulation model of the watercourse of depuration in an urban watershed. For this, we used the analysis of Monte Carlo method and the results interpreted with respect to meeting the water quality standards regulated by law. We have found that most affected input variables of the model were the concentration of oxygen and re-aeration coefficient. The use of stochastic method for uncertainty analysis was fundamental in check which parameters should be more careful in its determination that the responses of the simulation model do not suffer large variations when compared to monitored data. Keywords: Water quality; Self-purification; Monte Carlo Simulation.Downloads
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Published
2017-01-13
Issue
Section
Civil Engineering