Data-mining analysis of in-sewer infiltration patterns: seasonal characteristics of clear water seepage into Brussels main sewers

Ville, Nicolas de; Le, Hong Minh; Schmidt, Logan; Verbanck, Michel

doi:10.1080/1573062x.2017.1363252

Cited by 11 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…I/I-water expressed in terms of absolute volume (m 3 ), volume per unit length (m 3 /km), or as the portion of total wastewater flow (%) are key performance indicators (KPI) commonly used to describe how well the sewerage system serves its intended purpose [13]. Previous research efforts have shown that the share of I/I-water varies between systems (usually ranging from 10% to 70%) and depends on a multitude of factors such as the location and the technical state of a given system, weather and hydrogeological conditions during the time of the study, and quantification method used [6,[14][15][16][17][18][19][20]. In Latvia, data regarding drinking water and wastewater utilities are annually aggregated by The Public Utilities Commission (PUC); during the 2016-2020 period, the share of I/I-water was reported to be between 1% and 74%, with an average of 35% [21].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Infiltration from Private Sewer Laterals: Case Study in Jurmala, Latvia

Dakša

Dejus

Rubulis

2022

Water

View full text Add to dashboard Cite

The presence of excess water in centralized sewerage systems is known to have a multitude of unfavorable effects on the daily operation of the wastewater infrastructure. The additional volume of I/I-water decreases the hydraulic capacity of wastewater collection networks, reduces the efficiency of wastewater treatment processes, and increases the costs of transporting and treating the wastewater. Currently, most I/I studies in Latvia are conducted on the scale of the wastewater treatment plant service area and determine only the common performance indicators for a given year. However, data of such resolution are not sufficient to identify problem areas within the networks and to introduce cost-effective measures. The contribution of private sewer laterals to the overall I/I volume is an area of particular interest. Although it is possible to locate and quantify I/I from individual house connections, in practice, given the financial and time constraints, it is not feasible to apply a case-by-case approach. Thus, a simple method to predetermine the problematic parts of the system before conducting on-site inspections is needed. This study investigates the link between groundwater levels and observed night-time wastewater flows on a sub-catchment scale by performing a linear regression analysis (940 data points in total). The results show a direct correlation (R > 0.70 in all cases) between said parameters and highlight the impacts of poorly built and ill-maintained house connections. The presented approach can be widely adopted by system operators to help identify potential sources of diluted wastewater and to aid in the development of priority-based renovation plans.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessment of Infiltration from Private Sewer Laterals: Case Study in Jurmala, Latvia

Dakša

Dejus

Rubulis

2022

Water

View full text Add to dashboard Cite

show abstract

“…Despite the emerging use of radar sensors, precipitation observations remain uncertain, mostly due to their heterogenous spatial distribution (Campisano et al, 2013). Infiltration from the surface and the groundwater can contribute significantly to the total inflow in dry weather, and generally requires long series of data to be quantified (de Ville et al, 2017).…”

Section: Data and Modelsmentioning

confidence: 99%

From soft sensing to anomaly detection in combined sewer systems

Palmitessa

View full text Add to dashboard Cite

show abstract

Assessment of extraneous water inflow in separate sewerage system by different quantitative methods

2022

View full text Add to dashboard Cite

Extraneous water that inflow to the sewage system is basically divided into two streams—accidental water (mainly rainwater) and infiltration water. The aim of the research was to assess the amount of extraneous water inflow to the considered system. Five different quantitative approaches were applied. Three well-known methods were used: the triangle method, the minimum night flow method, and the moving minimum method. The annual balance of water consumption and sewage supply to the wastewater treatment plant were calculated. Also, some analysis of sewage discharge during wet and dry weather was carried out. The study covered data from 6 years from 2014 to 2019. It was established that the main source of extraneous water was infiltration, because three methods which concern both streams (triangle method, minimum night flow, variability in wet and dry weather) confirm the conclusion. Merely the moving minimum method results differ from the others. In this investigation, accidental water (basically rainwater inflow) poses a significantly less share in the total volume of sewage compared to infiltration water. The total amount of extraneous water was estimated as in the range from 38 to 53% of annual sewage supply to wastewater treatment plant, depending on the year. Share of infiltration and accidental water is changing in different methods. Share of infiltration was in a range between 18 and 68%, depending on the year and the method used. Share of accidental water was in a range between 7 and 22%.

show abstract

Data-mining analysis of in-sewer infiltration patterns: seasonal characteristics of clear water seepage into Brussels main sewers

Cited by 11 publications

References 22 publications

Assessment of Infiltration from Private Sewer Laterals: Case Study in Jurmala, Latvia

Assessment of Infiltration from Private Sewer Laterals: Case Study in Jurmala, Latvia

From soft sensing to anomaly detection in combined sewer systems

Assessment of extraneous water inflow in separate sewerage system by different quantitative methods

Contact Info

Product

Resources

About