We noticed that you're not using the latest version of your browser. You'll still be able to use our site, but it might not work or look the way it's supposed to. We recommend upgrading your browser.
JOURNAL OF WATER MANAGEMENT MODELING JWMM
AUTHORS
REVIEWERS
ABOUT
RESOURCES
Menu SEARCH LOGIN
Software
Tap in to water management modeling that excels. PCSWMM is flexible, easy to use and streamlines your workflow – saving you time and resources.
Training
Beginner or seasoned user, our flexible training options help you understand and master the full capabilities of both EPA SWMM5 and PCSWMM.
Community
There's a whole community to support you - find solutions, view code and more.
OPEN SWMM
OPEN EPANET
Journal
Our peer-reviewed, open-access Journal of Water Management Modeling. Expand your knowledge, get insights and discover new approaches that let you work more effectively.
Conference
The International Conference on Water Management Modeling. Meet your colleagues, share your experiences and be on the forefront of advances in our profession.
Consulting
Not sure how to solve a complex water management issue? Put our experience, knowledge, and innovation to work for you.
  • AUTHORS
  • REVIEWERS
  • ABOUT
  • SEARCH
  • RESOURCES
    Software
    Training
    Community
    OPEN SWMM
    OPEN EPANET
    Journal
    Conference
    Consulting

JWMM Login

Verifying credentials  Don't have an account?
Forgot your password?

Online Monitoring of Combined Sewer Systems: Experiences and Application in Modeling

Valentin Gamerith, Dirk Muschalla, Johannes Veit and Günter Gruber (2011)
Graz University of Technology
DOI: https://doi.org/10.14796/JWMM.R241-10
Comments

Collapse all
Collapse all

Abstract

The full understanding of flow dynamics and pollutant concentrations in combined sewer systems is an important issue in the management and design of these systems.

While detailed data of water levels and discharges is often available and is used in model calibration, water quality data in sufficient quality and detail is often lacking. Conventionally obtained samples (for example from automated samplers and lab analysis) cannot account for the full dynamics of pollutant concentrations encountered in sewer systems, such as the first flush occurrence in wet weather conditions. Moreover, the lack of field data is a critical aspect in modeling, with serious consequences for model calibration (Bertrand-Krajewski, 2007).

In Graz, Austria a sewer online monitoring station has been operated at a combined sewer overflow (CSO) at the outlet of an urban catchment area since 2002. Flow meters are installed in the inflow and the overflow channel of the CSO. A submersible ultraviolet-visible spectrometer probe measures continuously chemical oxygen demand (CODeq), total organic carbon (TOCeq) and total suspended solids (TSSeq) concentrations, with intervals of 3 min during dry weather conditions and 1 min during wet weather conditions, directly in the overflow chamber (Gruber et al., 2005).

Two models of the catchment were set up in previous studies: an aggregated hydrological model in the SMUSI software and a detailed hydrodynamic model in SWMM 5.0. Both models have been coupled with an optimization algorithm based on evolutionary strategies, allowing automated model calibration (Muschalla, 2008). The SMUSI model was calibrated against discharge and pollutant concentrations (CODeq). The SWMM model, set up in late 2009, was calibrated against discharge so far.

This chapter describes the setup of the measurement station, the experiences obtained from its long term operation and the results obtained from the simulation models. The challenges in maintenance, operation and probe calibration are addressed and the limits of in situ sewer monitoring discussed. In addition the results of the discharge simulations from both models are compared, and the quality of the SMUSI model in CODeq prediction is briefly discussed.

This paper is only available in PDF Format:

  View full text PDF

Image


Expand all

PAPER INFO

Identification

CHI ref #: R241-10 743
Volume: 19
DOI: https://doi.org/10.14796/JWMM.R241-10
Cite as: CHI JWMM 2011;R241-10

Publication History

Received: N/A
First decision: N/A
Accepted: N/A
Published: February 15, 2011

Status

# reviewers: 2
Version: Final published

Copyright

© 2011 CHI. Some rights reserved.

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Water Management Modeling is an open-access (OA) publication. Open access means that articles and papers are available without barriers to all who could benefit from them. Practically speaking, all published works will be available to a worldwide audience, free, immediately on publication. As such, JWMM can be considered a Diamond, Gratis OA journal.

All papers published in the JWMM are licensed under a Creative Commons Attribution 4.0 International License (CC BY).

JWMM content can be downloaded, printed, copied, distributed, and linked-to, when providing full attribution to both the author/s and JWMM.


AUTHORS

Valentin Gamerith

Graz University of Technology, Graz, Austria
ORCiD:

Dirk Muschalla

Graz University of Technology, Graz, Austria
ORCiD:

Johannes Veit

Graz University of Technology, Graz, Austria
ORCiD:

Günter Gruber

Graz University of Technology, Graz, Austria
ORCiD:


ADDITIONAL DATA

 

COMMENTS

Be the first to comment.

RELATED PAPERS

 


TAGS

 

  JWMM content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0 DEED)


Connect With Us

Journal of Water Management Modeling
ISSN: 2292-6062

  info@chijournal.org

147 Wyndham St. N., Ste. 202
Guelph, Ontario, Canada, N1H 4E9
About JWMM

Mission and intent

Editorial board

Review process

Disclaimer

Privacy policy

For Authors

Submit paper

Author checklist

Journal paper template

Reference guide

Unit conversion table

For Reviewers

Reviewing guidelines

Criteria to be used

Standards of acceptance


Copyright 2023 by CHI