Probabilistic Urban Stormwater Quantity Modeling

Analytical probabilistic models (APMs) for urban drainage systems analysis have been progressively developed by numerous researchers spanning the globe over the last four decades. The first task of this thesis is the synthesis of models for quantity analysis among these developments. Quantity models characterize the frequency of occurrence of stormwater impacts of varying magnitudes, such as peak flood flow rate or reservoir spill volume, as opposed to water quality impacts such as pollutant concentration. The second thesis task is to bridge the existing spectrum of models in a manner ensuring their seamless presentation. To this end, new models are derived to complete missing links. The third task is the improvement of a runoff volume model and a storage-treatment model. For the storage-treatment model, this constitutes an entirely reworked derivation due to prior conceptual errors. The final task is the integration of innovative approaches from related disciplines into the APM framework.M.A.S