Water Quality-based Real Time Control of Integrated Urban Drainage Systems: A Preliminary Study from Copenhagen, Denmark

Vezzaro, Luca; Christensen, Morten Lykkegaard; Thirsing, Carsten; Grum, Morten; Mikkelsen, Peter Steen

doi:10.1016/j.proeng.2014.02.188

Cited by 41 publications

(28 citation statements)

References 14 publications

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“…However, above this threshold all scenarios performed similarly. A similar pattern in RTC performance was found in other studies [16,24]. This underlines how the best performance for RTC is obtained for relatively frequent rain events.…”

Section: Preliminary Results Of Control Potential Based On the M180 Gsupporting

confidence: 88%

“…This demonstrates the benefit of integrated management beyond the jurisdiction of the different water utilities. The Nymølle environmental section has low sensitivity, whereas Aalebaekken, Stades Krog, A similar pattern in RTC performance was found in other studies [16,24]. This underlines how the best performance for RTC is obtained for relatively frequent rain events.…”

Section: Event Results Summarized At the Catchment Levelsupporting

confidence: 82%

“…In this specific case study, the simple "if-then-else" control rules applied in the coordinating control approach (RBC scenario) was simpler and faster to implement than MPC, showing reasonably good results considering the total overflow volume. However, rule-based control struggles to adapt to other objectives than CSO volume reduction, such as water-quality based control strategies [24], where the pollution at each controlled point and the sensitivity of the receiving bodies change in time and cannot be described by "if-then-else" rules. Similarly, the risk factor R i (expressed in monetary units) can be linked to actual pollution levels at the discharge point if a CSO price is defined.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Coordinating Rule-Based and System-Wide Model Predictive Control Strategies to Reduce Storage Expansion of Combined Urban Drainage Systems: The Case Study of Lundtofte, Denmark

Meneses

Gaussens

Jakobsen

et al. 2018

Water

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Abstract:The environmental benefits of combining traditional infrastructure solutions for urban drainage (increasing storage volume) with real time control (RTC) strategies were investigated in the Lundofte catchment in Denmark, where an expensive traditional infrastructure expansion is planned to comply with environmental requirements. A coordinating, rule-based RTC strategy and a global, system-wide risk-based dynamic optimization strategy (model predictive control), were compared using a detailed hydrodynamic model. RTC allowed a reduction of the planned storage volume by 21% while improving the system performance in terms of combined sewer overflow (CSO) volumes, environmental impacts, and utility costs, which were reduced by up to 10%. The risk-based optimization strategy provided slightly better performance in terms of reducing CSO volumes, with evident improvements in environmental impacts and utility costs, due to its ability to prioritize among the environmental sensitivity of different recipients. A method for extrapolating annual statistics from a limited number of events over a time interval was developed and applied to estimate yearly performance, based on the simulation of 46 events over a five-year period. This study illustrates that including RTC during the planning stages reduces the infrastructural costs while offering better environmental protection, and that dynamic risk-based optimisation allows prioritising environmental impact reduction for particularly sensitive locations.

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Section: Preliminary Results Of Control Potential Based On the M180 Gsupporting

confidence: 88%

Section: Event Results Summarized At the Catchment Levelsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Coordinating Rule-Based and System-Wide Model Predictive Control Strategies to Reduce Storage Expansion of Combined Urban Drainage Systems: The Case Study of Lundtofte, Denmark

Meneses

Gaussens

Jakobsen

et al. 2018

Water

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“…Therefore, high level of coliform had the most effect on WQI score. However, temporal changes in water quality parameters can be used as a 'barometer' by which the success of pollution controls can be evaluated; this agree with the results found by Vezzaro et al (2014), Chang et al (2012), García-Barcina et al (2006) and Doering (1996).…”

Section: Discussionsupporting

confidence: 81%

Assessing the drain estuaries’ water quality in response to pollution abatement

Abukila

2015

Water Science

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To assess 12 years of pollution abatement efforts in all drain estuaries in Northern Egypt, which discharge to Northern Lakes and the Mediterranean Sea, this paper provides temporal trends in water quality indices from 2002 to 2013. For the estuary of 20 drains: one drain had insufficient data to analyze for trends (Burullus Drain), four drains had significant increase in water quality index (WQI) score (Bahr ElBaqar Drain, Drain No. 1, Tabia Drain and No. 11 Drain), one drain had significant declination in water quality score over the tested time period (Ramsis Drain). While the rest (14 drains) showed insignificant trend in either direction (improving or declining). Water quality fluctuated over that time period. On average, temporal changes in excursions of coliform count from their threshold can explain 83.3% of the temporal variability observed in water quality indicators monitored in all drain estuaries (38.9%% < R 2 < 89.2%). Therefore, the most effective water quality variables among a set of variables affecting the WQI score was total coliform.

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“…Irvinea et al (2011) have implemented a project with municipalities in Western New York State to evaluate the low-cost options for illicit discharge trackdown. In Vezzaro et al (2014), the potential for including water-quality in real time control (RTC) schemes was unveiled, providing a further option to urban water managers to improve the performance of their systems.…”

Section: Introductionmentioning

confidence: 99%

Pre-Conditioning Approach to Bayesian Decision Networks for Water Quality Sensors Positioning in Urban Drainage Systems

Sambito¹,

Cristo²,

Freni³

et al.

EPiC Series in Engineering

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In the last decades, the growth of mini-and micro-industry in urban areas has produced an increase in the frequency of xenobiotic polluting discharges in drainage systems. Such pollutants are usually characterized by low removal efficiencies in urban wastewater treatment plants and they may have an acute or cumulative impact on environment. In order to facilitate early detection and efficient containment of the illicit intrusions, the present work aims to develop a decision-support approach for positioning the water quality sensors. It is mainly based on the use of a decision-making support of the BDN type (Bayesian Decision Network), specifically looking soluble conservative pollutants, such as metals. In the application and result section the methodology is tested on two sewer systems, with increasing complexity: a literature scheme from the SWMM manual and a real combined sewer.Engineering

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Water Quality-based Real Time Control of Integrated Urban Drainage Systems: A Preliminary Study from Copenhagen, Denmark

Cited by 41 publications

References 14 publications

Coordinating Rule-Based and System-Wide Model Predictive Control Strategies to Reduce Storage Expansion of Combined Urban Drainage Systems: The Case Study of Lundtofte, Denmark

Coordinating Rule-Based and System-Wide Model Predictive Control Strategies to Reduce Storage Expansion of Combined Urban Drainage Systems: The Case Study of Lundtofte, Denmark

Assessing the drain estuaries’ water quality in response to pollution abatement

Pre-Conditioning Approach to Bayesian Decision Networks for Water Quality Sensors Positioning in Urban Drainage Systems

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