COMBINED SEWER OVERFLOW ASSESSMENT IN SLOVAKIA
Daniel Sztruhar, Marek Sokac, Stefan Stanko, Adrian Holiencin, *Andrej Markovic, *Ingrid Labska
Slovak Technical University, Department of Sanitary Engineering, Radlinského 11, 813 68 Bratislava, Slovakia
*Water Research Institute, nabr. a.g. L. Svobodu 5, 812 49 Bratislava, Slovakia
INTRODUCTION
In the majority of towns in Slovakia combined sewer systems prevail. Because waste water treatment facilities are usually designed to handle only dry weather flows but not storm water runoff it is necessary to provide diversion or overflow structures within the sewer systems. Combined sewer overflows (CSO) are designed to reliese some part of storm discharges during heavy rainfalls into the receiving waters or to storm tanks. An inventory and structural evaluation of CSOs in towns with more than 30,000 inhabitants was carried out during a three years joint research (1996-1999) of the Water Research Institute and the Department of Sanitary Engineering of the Slovak Technical University in Bratislava (Markovic, 1999). As part of the research, detailed monitoring of eight storm events in four towns was carried out. Waste water samples were taken and analysed for common constituents and storm flow and pollution transport modelling was carried out by MOUSE (Sokac and Markovic, 2000). Also, recommendations for the use of limiting rainfall for CSO design have been worked out (Rusnak and Stanko, 2000). This paper describes results of the CSO structural evaluation and wet weather monitoring program.
Under the umbrella of state funded water authorities over 700 CSOs are registered. The most common types of CSO structures are the following:
| 1. | CSOs with one side weir | 45% |
| 2. | CSOs with transverse weir | 36% |
| 3. | CSOs with two side weirs | 8% |
| 4. | CSOs with elevated transverse weir | 2% |
| 5. | CSOs with leaping weir | 1% |
| 6. | Other types (e.g. shaft overflows, release structures at the inflow to treatment plants, etc.) | 8% |
It was the aim of the research project to provide detailed information on the existing CSOs, including description of their structural condition. The results of evaluation of general condition and structural defects of CSOs are summarised below:
The above findings demonstrate the most frequently observed defects at combined sewer overflow structures in Slovakia. It has to be stated, however, that the structural condition of the majority of overflows were found in satisfactory state and in over 80% of CSOs there were not reported any noticeable problems.
WET WEATHER MONITORING
The objective of the wet weather monitoring program was to collect rainfall, flow and concentration data, which could be used to calculate CSO volumes and pollutant loads as well as for calibration of mathematical models. Three locations were selected for the field campaign, Liptovský Mikuláš, Lučenec and Trnava. The selected sewer systems represent different sizes and geographic conditions (varying from hilly regions to typical low-land regions).
Rainfall was measured by an ISCO tipping-bucket raingauge located in the towns’ centres. Measurements were maid in different seasons of the year (spring, summer, autumn), thus, we recorded rainfalls with different peak intensities and duration. Typical return periods of measured rainfalls were one year or lower.
Flow levels were measured by ISCO ultrasonic flowmeters located at sewer manholes upstream of CSO chambers. Special attention was taken to avoid improper installation of the ultrasonic probes (e.g. in sections with backwater effects, sections with relevant curvature or places with large amount of sediments, were calibration could have lead to incorrect calculated flows). All instruments were equipped with data loggers, which were fully synchronised and set for 1-minute recording intervals.
Wastewater samples were taken manually; automatic sampling was ruled out due to potential vandalism and pertaining difficulties with dual synchronisation to both raingauge and flowmeter. Sampling intervals varied according to the flow rate; at the start of the storm, samples were collected every 1 to 5 minutes to characterise any potential first flush of organic constituents, but as the storm progressed, the sampling interval was increased to 15 minutes. During each time interval only one sample with a volume of 2L was collected. All analyses were carried out at the Water Research Institute according to valid Slovak standards for water quality analyses.
Altogether six rainfall events were monitored during the recent research and two additional events were added to the data from an earlier study carried out in the Town of Malacky (Sztruhar et al., 1997). Thus the current data base contains eight storm events. Waste water samples were analysed for common constituents and are summarised in Tab. 1
Tab.1 Parameters of pollution analysed in waste water samples
| Group of pollutants | Parameter |
| Standard parameters | TS, TVS, TSS, VSS, pH, chlorides, conductivity |
| Organic pollution | BOD5, COD, DOC |
| Nutrients | Ntot, N-NH4, N-NO3, N-NO2, Ptot, P-PO4 |
| Heavy metals | Zn, Pb, Ni, Cu, Cd, Cr, Hg, As |
| Bacterial pollution | total coliforms, faecal coliforms |
| Other - toxic pollutants | PAHs, non-polar extractable substances |
DATA ANALYSIS
The primary reason of data collection and analysis in urban runoff monitoring programs is to provide general data for pollution loads from combined sewer systems. One of the priorities in the current study was set, therefore, to provide event mean concentrations (EMC) for annual pollution load calculations from sewer systems in Slovakia and in other regions in Central and Eastern Europe with similar urban drainage practices (e.g. Czech Republic, Poland, Hungary, Slovenia, etc.).
A. Statistical characterisation of urban runoff quality
Data analysis has been guided by the results of the US EPA Nationwide Urban Runoff Program (NURP) (US EPA, 1983). From the general findings of this project we followed the four main and still valid points:
![]() |
(1) |
where
| EMC | event mean concentration of a particular pollutant (kg/m3) |
| Qi | discharge during time interval i (m3/min) |
| ci | concentration of pollutant during time interval i (kg/m3) |
| delta ti | length of time interval i (min). |
The mean concentration of the logarithmic transformed series (mg/l) can be calculated after Marsalek (1990) as follows
(2) where
m mean concentration of the logarithmic transformed series s standard deviation of transformed series. The log-normal distribution is completely defined by it‘s mean and standard deviation of the transformed logarithmic series.
The establishment of log-normal distribution for major constituents of urban runoff has a number of benefits:
- Concise summaries of variable data can be developed.
- Mean values can be obtained more precisely even from highly variable data bases.
- Comparison of results from different site and/or events can be made.
- The log-normal distribution provides a base for probabilistic modelling of urban runoff quality which allows to calculate concentration return periods and exceedence values for water quality and/or ecological criteria..
During the evaluation of measured data attention was devoted to the following main areas:
EMCs for each event were calculated using Eq. (1). We obtained eight different values of mean concentrations. We ranked the values in ascending order and plotted them on a probability paper. The resulting probability plots of TSS, COD, Ntot and Ptot are in Figs.1, 2, 3 and 4, respectively. Log-normal distribution was found to be relevant for all examined parameters (BOD5, COD, TSS, Ntot, N-NO3, N-NO2, N-NH4, Ptot, P-PO4). Statistical distribution of heavy metals could not be tested due to their extremely low concentrations (just at the level or below detection limits). EMCs calculated from the logarithmic transformed data are listed in tab.2.

Fig. 1 Cumulative probability distribution TSS

Fig. 2 Cumulative probability distribution COD

Fig. 3 Cumulative probability distribution Ntot

Fig. 4 Cumulative probability distribution Ptot
Tab.2 Event mean concentrations of urban storm runoff parameters (combined sewers) in Slovakia
| Parameter | EMC (mg/L) | Parameter | EMC (mg/L) |
| TSS | 430 | Zn | 0.57 |
| COD | 445 | Cd | <0.02 |
| BOD5 | 175 | Pb | <0.20 |
| Ntot | 16.8 | Cu | <0.50 |
| N-NH4 | 6.21 | Cr | <0.20 |
| N-NO3 | 1.28 | Ni | <0.10 |
| N-NO2 | 0.10 | As (µg/l) | 3.0 |
| Ptot | 2.63 | Non-polar extractable substances | 3.97 |
| P-PO4 | 0.63 | Faecal Coliforms (*CFU/ml) | 1.3x105 |
*CFU - colony forming units
Similar to the NURP study, calculated EMCs were found to be independent from rainfall intensity and duration, geographic location, size and slope of sewer systems and runoff volumes. A comparison with the original NURP data also reveals, that higher COD, BOD5 and TSS values were obtained during this study. This could be explained by extensive sedimentation in our sewers and by their transport during storm events (see below for detailed analysis).
B. First flush
The existence or non-existence of first flush in urban storm runoff has still not been satisfactorily answered. Ellis (1986) based on a wide literature search stated that first flush is not a consistent feature of either separate or combined sewer systems. Probably each sewer system reacts individually to each storm event. Generally, the occurrence of first flush is more frequent in smaller storm sewer systems with short concentration times and without noticeable amounts of sediments. In combined sewer systems the question of first flush is more complicated. In general, there are three sources of pollution in combined sewer systems. Firstly, dry weather discharges, secondly, elevated storm discharges during wet weather, and finally, scoured bottom sediments. All three sources significantly contribute to the overall pollution of water. Near bed solids are believed to be a major source of continuous organic pollution during storm flows (Arthur and Ashley, 1998). This material has a significant portion of dry weather flow COD and BOD concentrations, whilst it only contains a modest amount of TSS. Many researchers believe that if there are no local data available, any strategy or remedial action based on the assumption of first flush could be misleading. Guidelines ATV A 128 (ATV, 1992) assume, that first flush effects are relevant on small watersheds with times of concentrations shorter than 15 minutes. In larger combined systems first flush effect is levelled out due to long transportation times and continues sediment transport.
If we define first flush with the ratio 80:30 (that is 80% of pollution is transported within the first 30% of runoff volumes), than first flush was not observed in any of the events. A milder criterion of 60:30 would lead to one observed first flush out of the eight measured events. Fig. 5 shows a typical event, where first flush has not been observed.

Fig. 5 Typical diagram of cumulative pollution transport without observed first flush effect
C. Detailed analysis of VSS as an indicator of organic content of TSS
Since many of the parameters in urban runoff are associated with suspended solids, the next step in data analysis was to compare the organic portion of suspended solids (approximately represented by VSS - volatile suspended solids) with the total load of suspended solids (expressed as TSS - total suspended solids). Such comparison could answer the nature of sediment transport during storm flows. Fig. 6 shows typical VSS and TSS concentrations during dry weather periods. As seen from the figure, VSS concentrations are well below 50 mg/L (except one peak), while TSS concentrations vary from low to almost 500 mg/L. During a storm event (Fig. 7), which started after a ca. two weeks dry period, the absolute concentrations reached 20 to 30 times higher values compared to those measured in dry weather flows. It has to be added, that this particular overflow commenced during the morning minimum discharges at 5:30. A next storm event starting the same day shortly after the first one ended did not produce higher concentrations (Fig. 8).
A look at the ratio of VSS to TSS reveals, that it varied between 10 to 20% (Fig. 9) during the dry weather period. This implies that the upper layers of sewer sediments (rich in organic material) are removed either during dry weather periods or during the first flush of storm water towards the waste water treatment plant. Sediments removed during the following periods contained as low as 10% organic materials. During the overflow the organic content started to raise and peaked at the level of 40-50% of TSS concentrations (Fig. 10). This phenomenon could be expressed by mobilisation of the deeper layers of sediments rich in faecal materials where aerobic/anaerobic decomposition processes were in progress. Flush of anaerobic decomposition products were confirmed in the Malacky study earlier (Sztruhar et al., 1997).
What is remarkable in the comparison of the ratio of VSS/TSS is that it had an increasing tendency up to 40 - 45%. This ratio did not increase during the second storm event (Fig. 11). This means, that during this particular event there was a maximum ratio of 40 - 45% of organic content in the suspended solids, which remained relatively constant during the whole storm event. Based on the above analysis we can state that the hypothesis of first flush has not been confirmed in the overflowing water due to continues mobilisation and transport of deeper horizons of sewer sediments.
CONCLUSIONS

Fig.6 Typical VSS and TSS concentrations during dry weather periods

Fig.7 Typical concentrations of VSS and TSS
during overflow after a two weeks
dry weather period

Fig.8 Typical concentrations of VSS andTSS during overflow in the second storm event

Fig.9 Typical ratio of VSS/TSS during dry weather periods

Fig.10 Typical ratio of VSS/TSS during overflow after a two weeks weather period

Fig.11 Typical ratio of VSS/TSS during overflow in the second storm event
ACKNOWLEDGEMENT
Financial support of this project by the Ministry of Land Management of the Slovak Republic is gratefully acknowledged. Financial support of part of this research (Malacky) in the form of a NATO Linkage Grant is gratefully acknowledged.
REFERENCES
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