Abstract
Recent developments in on-line sensor technology supplying high temporal resolution data and advanced data quality control (DQC) tools ease the task of understanding in-sewer processes, allowing for better integrated management of sewer systems and wastewater treatment plants (WWTP). The present study illustrates how data with high temporal resolution and advanced DQC tools can be
used to: (i) detect unexpected shock loads during dry weather due to an on/off pumping strategy, (ii) understand the processes in upstream sewer systems under wet weather, and (iii) take the necessary actions to reduce the shock loads at the WWTP. The results for a selected week show that the on/off pumping strategy creates unnecessary peaks with 50-200% increased flows. This affects the water quality arriving at the WWTP, particularly with respect to the total suspended solids concentrations, which increased by 150-200%, making up a TSS-load increase by up to 400%. The dissolved concentrations increased only by 10-20%. The data from on-line sensors, upgraded by DQC procedures, are currently forming an information-dense basis for calibration of a sewer water quality
model, which will be used to better understand the processes taking place upstream the plant and to reduce their impact on the performance of the WWTP.
used to: (i) detect unexpected shock loads during dry weather due to an on/off pumping strategy, (ii) understand the processes in upstream sewer systems under wet weather, and (iii) take the necessary actions to reduce the shock loads at the WWTP. The results for a selected week show that the on/off pumping strategy creates unnecessary peaks with 50-200% increased flows. This affects the water quality arriving at the WWTP, particularly with respect to the total suspended solids concentrations, which increased by 150-200%, making up a TSS-load increase by up to 400%. The dissolved concentrations increased only by 10-20%. The data from on-line sensors, upgraded by DQC procedures, are currently forming an information-dense basis for calibration of a sewer water quality
model, which will be used to better understand the processes taking place upstream the plant and to reduce their impact on the performance of the WWTP.
| Original language | English |
|---|---|
| Publication date | 2013 |
| Number of pages | 8 |
| Publication status | Published - 2013 |
| Event | 7th International Conference on Sewer Processes and Networks - Sheffield, United Kingdom Duration: 28 Aug 2013 → 30 Aug 2013 Conference number: 7 http://www.shef.ac.uk/spn7 |
Conference
| Conference | 7th International Conference on Sewer Processes and Networks |
|---|---|
| Number | 7 |
| Country/Territory | United Kingdom |
| City | Sheffield |
| Period | 28/08/2013 → 30/08/2013 |
| Internet address |
Keywords
- Data quality assurance
- Dry weather
- On-line sensors
- Operations
- Sewer processes
- Wastewater composition
- Wet weather