Network topology and rainfall controls on the variability of combined sewer overflows and loads

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1029/2019WR025336.

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Authors

Gavan McGrath , Thoma Kaeseberg, Julian David Reyes Silva, James Jawitz, Frank Blumensaat, Dietrich Borchardt, Kyungrock Paik, Per-Erik Mellander, Peter Krebs, P. Suresh C. Rao

Abstract

Water and pollutant fluxes from combined sewer overflows (CSO) have a significant impact on receiving waters. The random nature of rainfall forcing dominates the variability of sewer discharges, pollutant loads, and concentrations. An analytical model developed here, shows how sewer network topology and rainfall properties variously impact the stochasticity of CSO functioning. Probability distributions of sewer discharge and concentration compare well with the results from a calibrated Storm Water Management Model in an application to a sewershed located in Dresden, Germany. The model is determined by only four parameters, three of which can be predicted a priori, two from the rainfall record and one from the network topology using geomorphological flow recession theory, while the fourth can be estimated from a short discharge time series. The sensitivity of CSO and wastewater treatment loads to network structure suggests simple topologies may be more vulnerable to poor performance. The analytical model is useful for evaluating various CSO management strategies to reduce adverse impacts on receiving waters in a probabilistic setting.

DOI

https://doi.org/10.31223/osf.io/gc8wf

Subjects

Civil and Environmental Engineering, Engineering, Environmental Engineering

Keywords

hydrology, stormwater, network, Combined Sewer, Sewer

Dates

Published: 2019-10-24 09:12

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License

GNU Lesser General Public License (LGPL) 2.1

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