%0 Conference Paper %1 Dittmer.2014 %A Dittmer, Ulrich %A Bachmann, Anna %A Meyer, Daniel %B 13th International Conference on Urban Drainage %D 2014 %E IWA/IAHR, %K (CSO);Retention Analysis Combined Filter;Sensitivity Overflow Sewer Soil dittmer iswa lsww %T Integrating retention soil filters into sewer quality models %X Planted filter beds (also called Retention Soil Filters - RSF) have proven to be an effective measure to mitigate negative impacts of CSO discharges on receiving waterbodies. NH4-concentration or load, frequency of event with critical organic loads and long-term loads of suspended solids are the most important CSO characteristics considering the ecological status of the receiving waterbody. To assess the effect of a RSF on these characteristics in the planning process combined long-term simulations of the RSF are required. This paper presents a simulation study which aims at identifying the most crucial processes and parameters determining the result uncertainties of the combined model of the sewer system and filter bed. It was found that uncertainties of the integrated simulation mainly originate from the input parameters of the sewer model. The connected area and its runoff coefficient, quality of stormwater runoff and sedimentation efficiency were identified as the main influencing model parameters.

@inproceedings{Dittmer.2014, abstract = {Planted filter beds (also called Retention Soil Filters - RSF) have proven to be an effective measure to mitigate negative impacts of CSO discharges on receiving waterbodies. NH4-concentration or load, frequency of event with critical organic loads and long-term loads of suspended solids are the most important CSO characteristics considering the ecological status of the receiving waterbody. To assess the effect of a RSF on these characteristics in the planning process combined long-term simulations of the RSF are required. This paper presents a simulation study which aims at identifying the most crucial processes and parameters determining the result uncertainties of the combined model of the sewer system and filter bed. It was found that uncertainties of the integrated simulation mainly originate from the input parameters of the sewer model. The connected area and its runoff coefficient, quality of stormwater runoff and sedimentation efficiency were identified as the main influencing model parameters.}, added-at = {2018-10-13T10:52:23.000+0200}, author = {Dittmer, Ulrich and Bachmann, Anna and Meyer, Daniel}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2abc7e2e70a51c16ca9a4c17c01281e7c/dhahn}, booktitle = {13th International Conference on Urban Drainage}, editor = {IWA/IAHR}, interhash = {79a1af7daf26fd6f85eab0d5550bff4a}, intrahash = {abc7e2e70a51c16ca9a4c17c01281e7c}, keywords = {(CSO);Retention Analysis Combined Filter;Sensitivity Overflow Sewer Soil dittmer iswa lsww}, timestamp = {2018-10-13T08:54:53.000+0200}, title = {Integrating retention soil filters into sewer quality models}, year = 2014 }