Online monitoring and conditional regression tree test: Useful tools for a better understanding of combined sewer network behavior

2018 ◽  
Vol 625 ◽  
pp. 336-343
Author(s):  
T. Bersinger ◽  
G. Bareille ◽  
T. Pigot ◽  
N. Bru ◽  
I. Le Hécho
Keyword(s):  
Online Monitoring ◽  
Regression Tree ◽  
Network Behavior ◽  
Sewer Network ◽  
Combined Sewer

Grain size distribution of metals and polycyclic aromatic hydrocarbons in silt trap sediments from the combined sewer network of Paris (France)

2005 ◽  
Vol 52 (3) ◽  
pp. 111-118 ◽  
Author(s):  
R. Moilleron ◽  
J. Perez ◽  
S. Garnaud
Keyword(s):  
Heavy Metals ◽  
Grain Size ◽  
Polycyclic Aromatic Hydrocarbons ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Aromatic Hydrocarbons ◽  
Sediment Samples ◽  
Sewer Network ◽  
Combined Sewer ◽  
Polycyclic Aromatic

For three years (2001–2003), sediment samples were extracted from about 100 silt traps (STs) spread out all over the combined sewer network of Paris. These STs, whose volume varied from 21 to 325 m3, were cleaned out as soon as their filling capacities were reached. All these sediment samples were analysed for physicochemical parameters (pH, organic matter (OM) content, grain size distribution), total hydrocarbons (THs), 16 polycyclic aromatic hydrocarbons (PAHs) selected from the priority list of the US-EPA, and heavy metals (Al, Ag, As, Cd, Cu, Cr, Sn, Fe, Mn, Hg, Ni, Pb, Zn). For each silt trap, six sediment samples were extracted before the clean out procedure: three samples were extracted from the sediment surface (5–10 cm depth) and three other samples were extracted from a deeper sediment layer (approximately at 1 m depth). The location of these sampling points allowed us to take into account the possible spatial fluctuation of pollutant loads in each ST. The first results showed that there were some important inter-site variations of pollutant contents. These variations have to be taken into account by the sewer manager for the fate of the ST sediments. Therefore, we decided to assess the grain size distribution of some pollutants. OM, heavy metals and PAHs have been investigated on the five grain size fractions (>20 mm, 8–20 mm, 0.5–8 mm, 50–500 μm, <50 μm) for 9 STs, which have been selected on their heavy metal content basis. This work aims at understanding the distribution of the pollutant contents and at improving the knowledge of the ST sediment pollution.

Priority substances in combined sewer overflows: case study of the Paris sewer network

2011 ◽  
Vol 63 (5) ◽  
pp. 853-858 ◽  
Author(s):  
J. Gasperi ◽  
S. Garnaud ◽  
V. Rocher ◽  
R. Moilleron
Keyword(s):  
Hazardous Substances ◽  
Local Source ◽  
Rain Event ◽  
Combined Sewer Overflows ◽  
Limit Of Quantification ◽  
Seine River ◽  
Pollutant Loads ◽  
Sewer Network ◽  
Combined Sewer ◽  
Sewer Overflows

This study was undertaken to supply data on both priority pollutant (PP) occurrence and concentrations in combined sewer overflows (CSOs). A single rain event was studied on 13 sites within the Paris sewer network. For each sample, a total of 66 substances, including metals, polycyclic aromatic hydrocarbons (PAHs), pesticides, organotins, volatile organic compounds, chlorobenzenes, phthalates and alkylphenols were analyzed. Of the 66 compounds analyzed in all, 40 PPs including 12 priority hazardous substances were detected in CSOs. As expected, most metals were present in all samples, reflecting their ubiquitous nature. Chlorobenzenes and most pesticides were never quantified above the limit of quantification, while the majority of the other organic pollutants, except DEHP (median concentration: 22 μg.l−1), were found to lie in the μg.l−1 range. For the particular rain event studied, the pollutant loads discharged by CSOs were evaluated and then compared to pollutant loads conveyed by the Seine River. Under the hydraulic conditions considered and according to the estimations performed, this comparison suggests that CSOs are potentially significant local source of metals, PAHs and DEHP. Depending on the substance, the ratio between the CSO and Seine River loads varied from 0.5 to 26, underscoring the important local impact of CSOs at the scale of this storm for most pollutants.

Long term pollution simulation in combined sewer networks

2001 ◽  
Vol 43 (7) ◽  
pp. 83-89 ◽  
Author(s):  
B. Masse ◽  
M. Zug ◽  
J. P. Tabuchi ◽  
B. Tisserand
Keyword(s):  
Conceptual Model ◽  
Combined System ◽  
Sewerage System ◽  
Sewer Network ◽  
Reference Flow ◽  
Combined Sewer ◽  
Stream System ◽  
Long Time ◽  
Sewer Networks

This paper presents results of long term pollution simulations on the example of the sewerage system of Grand-Couronne. This modelling work is part of a study where objective is to develop a method to define the reference flow of a WWTP. The model HYDROWORKS DM™ has been successfully validated in hydraulics and pollution for the sewer network, for long time simulations. A conceptual model has been built to model the pollution in the tank at the outlet of the combined system. One synthetic year of rain has been used to simulate the working of the “up stream system” of the WWTP (combined sewer + tank + separate sewer + pre-treatments) and has been successfully validated by measurements of the 1998-1999 year. If this paper is focused on the “up stream system”, the SIMBA/SIMBAD WWTP model has been successfully calibrated and validated too, and the combination represents a fully validated “Integrated Model” for the sewerage system.

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

2011 ◽  
Author(s):  
Valentin Gamerith ◽  
◽  
Dirk Muschalla ◽  
Johannes Veit ◽  
Günter Gruber ◽  
...  
Keyword(s):  
Online Monitoring ◽  
Sewer Systems ◽  
Combined Sewer

Near bed solids transport rate prediction in a combined sewer network

1997 ◽  
Vol 36 (8-9) ◽  
pp. 129-134 ◽  
Author(s):  
Scott Arthur ◽  
Richard M. Ashley
Keyword(s):  
Prediction Equation ◽  
Subject Area ◽  
Future Research ◽  
Bed Load ◽  
Sewerage System ◽  
Solids Transport ◽  
Sewer Network ◽  
Combined Sewer ◽  
Mode Of Transport ◽  
Transport Prediction

The physical and biochemical nature of the material transported near the bed (‘bed-load’) in combined sewers is established. The merits of the recent evolution of the terminology used in this field are discussed. The physical characteristics of material found in transport at three separate combined sewer field sites are described. The importance of this mode of transport, in terms of the mass transported and pollutant potential, is demonstrated based on data collected from Dundee combined sewerage system sites. The development of a novel near bed solids transport prediction equation is described. Comparisons are made between measured near bed solids transport rates obtained in the field, at sites with and without deposited beds, with predictions obtained using the new methodology. The need for future research in this subject area is emphasised.

Real time control of a combined sewer network using graph theory

1997 ◽  
Vol 36 (5) ◽  
pp. 301-308 ◽  
Author(s):  
J. Vazquez ◽  
D. Bellefleur ◽  
D. Gilbert ◽  
B. Grandjean
Keyword(s):  
Graph Theory ◽  
Real Time ◽  
Real Time Control ◽  
Dual Algorithm ◽  
Prediction Horizon ◽  
Time Control ◽  
Sewer Network ◽  
Combined Sewer ◽  
Primal Dual ◽  
Stormwater Retention

In order to reduce overflow pollution load during rainfall, a real time control strategy has been implemented for the combined sewer network of Saverne (Alsace, France). It consists of optimizing various gate and pump commands over a specified prediction horizon, using graph theory. Flows, trough collectors, weirs and stormwater retention tanks have been represented by a graph and a primal-dual algorithm has been used in order to satisfy rainfall discharge with lower overflow. This strategy has been tested successfully using 685 rainfall events collected over a decade and attractive reductions of both volume and frequency overflows have been observed.

scholarly journals Sediment transport in sewers: the Cesarina combined sewer network

2014 ◽  
Author(s):  
G. Silvagni ◽  
F. Volpi ◽  
R. Celestini
Keyword(s):  
Sediment Transport ◽  
Sewer Network ◽  
Combined Sewer

Assessment of erosion and sedimentation dynamic in a combined sewer network using online turbidity monitoring

2015 ◽  
Vol 72 (8) ◽  
pp. 1375-1382 ◽  
Author(s):  
T. Bersinger ◽  
I. Le Hécho ◽  
G. Bareille ◽  
T. Pigot
Keyword(s):  
Oxygen Demand ◽  
Small Scale ◽  
Sewer Pipe ◽  
Combined Sewer Overflows ◽  
Sediment Storage ◽  
Sewer Network ◽  
Combined Sewer ◽  
Rain Events ◽  
Sediment Layers ◽  
Short Time

Eroded sewer sediments are a significant source of organic matter discharge by combined sewer overflows. Many authors have studied the erosion and sedimentation processes at the scale of a section of sewer pipe and over short time periods. The objective of this study was to assess these processes at the scale of an entire sewer network and over 1 month, to understand whether phenomena observed on a small scale of space and time are still valid on a larger scale. To achieve this objective the continuous monitoring of turbidity was used. First, the study of successive rain events allows observation of the reduction of the available sediment and highlights the widely different erosion resistance for the different sediment layers. Secondly, calculation of daily chemical oxygen demand (COD) fluxes during the entire month was performed showing that sediment storage in the sewer pipe after a rain period is important and stops after 5 days. Nevertheless, during rainfall events, the eroded fluxes are more important than the whole sewer sediment accumulated during a dry weather period. This means that the COD fluxes promoted by runoff are substantial. This work confirms, with online monitoring, most of the conclusions from other studies on a smaller scale.

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