Estimating sanitary flows using neural networks Available to Purchase

The estimation of sanitary sewer flows is required to effectively plan, design, build, operate, and maintain sewerage facilities. Existing flow estimation methods are crude and often not intended to represent actual conditions but rather to act as guidelines, often for design purposes. This study proposes a neural network approach to estimating actual sanitary flows under dry weather conditions. Development as well as validation showed the neural network model to produce results with an average error less than 16% when compared to measured data.