A Bootstrap Approach and Reliability of Time Varying Design
Abstract
A pollution control strategy encourages better management of wastewater discharges to the receiving streams. This is necessary to protect the aquatic species against high levels of toxic contaminants. The primary concern is to prevent violation of water quality objectives. Protection has been based on controls using frequency of extreme minimum flows and a constant design load. A statistical method to evaluate reliability of a stream under varying design loads is proposed. In it, we applied a Bootstrap compute-intensive technique to investigate the use of extreme-value probability distribution on seasonal flows. The Weibull Type-3 model is demonstrated to be suitable for design purposes. It was possible to link this approach to a system reliability concept, to assess the vulnerable nature of a stream.
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