Field validation of a new low-cost method for determining occurrence and duration of combined sewer overflows

Montserrat, Angel Duarte; Gutiérrez, Oriol; Poch, M.; Corominas, Lluís

doi:10.1016/j.scitotenv.2013.06.010

Cited by 22 publications

(26 citation statements)

References 28 publications

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“…Schroeder et al (2011) used real data to study the relationship between rainfall height and overflow activity, but the data were from only a few CSO structures within a network. More recently, Montserrat et al (2013) developed and validated a low-cost method to measure the occurrence and duration of overflows using temperature sensors, which makes measuring all of the CSO structures within a CSS economically feasible.…”

Section: G R a P H I C A L Abstractmentioning

confidence: 99%

“…The recent development of low-cost CSO-monitoring methods (e.g. Montserrat et al, 2013) offers an excellent opportunity for the thorough evaluation of CSSs. The insight gained from such an evaluation can be used to improve their overall performance while reducing the negative impacts of overflows.…”

Section: G R a P H I C A L Abstractmentioning

confidence: 99%

“…CSO Structures 1 through 14 were monitored using low-cost temperature sensors, as described by Montserrat et al (2013). Briefly, an abrupt shift of temperature from a sensor installed at the overflowing structure indicates the start of a CSO event, and the recovery of the signal back to the baseline temperature corresponds to the end of the event.…”

Section: Data Collectionmentioning

confidence: 99%

“…Data in the file 'Rain_CSO_Information.xlsx'. More information about the materials and methods used to collect the data is given in Montserrat et al (2013). Of the 14 CSO structures that were monitored, we analyzed data from 12 structures; data from Structures 9 and 13 were not considered in the study due to the poor quality (high background noise) of the gathered data.…”

Section: Data Collectionmentioning

confidence: 99%

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Using data from monitoring combined sewer overflows to assess, improve, and maintain combined sewer systems

Montserrat

Bosch

Kiser

et al. 2015

Science of The Total Environment

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Using low-cost sensors, data can be collected on the occurrence and duration of overflows in each combined sewer overflow (CSO) structure in a combined sewer system (CSS). The collection and analysis of real data can be used to assess, improve, and maintain CSSs in order to reduce the number and impact of overflows. The objective of this study was to develop a methodology to evaluate the performance of CSSs using low-cost monitoring. This methodology includes (1) assessing the capacity of a CSS using overflow duration and rain volume data, (2) characterizing the performance of CSO structures with statistics, (3) evaluating the compliance of a CSS with government guidelines, and (4) generating decision tree models to provide support to managers for making decisions about system maintenance. The methodology is demonstrated with a case study of a CSS in La Garriga, Spain. The rain volume breaking point from which CSO structures started to overflow ranged from 0.6. mm to 2.8. mm. The structures with the best and worst performance in terms of overflow (overflow probability, order, duration and CSO ranking) were characterized. Most of the obtained decision trees to predict overflows from rain data had accuracies ranging from 70% to 83%. The results obtained from the proposed methodology can greatly support managers and engineers dealing with real-world problems, improvements, and maintenance of CSSsSupport for this project was provided by the ENDERUS Project (CTM-2009-13018) and the predoctoral grant FPI BES-2010-039247, founded by the Spanish Ministry of Science and Innovation. Lluís Corominas received the postdoctoral Juan de la Cierva grant (JCI-2009-05604) from the Government of Spain and the Career Integration Grant (PCIG9-GA-2011-293535) from the EU. The authors also acknowledge the support from the Economy and Knowledge Department of the Catalan Government through the Consolidated Research Group (2014 SGR 291)–Catalan Institute for Water Researc

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Section: G R a P H I C A L Abstractmentioning

confidence: 99%

Section: G R a P H I C A L Abstractmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

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Using data from monitoring combined sewer overflows to assess, improve, and maintain combined sewer systems

Montserrat

Bosch

Kiser

et al. 2015

Science of The Total Environment

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“…Furthermore, such expensive equipment may be needed and used just few days per year, when SSO occur. Alternatively, there are surrogate methods that can be used for the monitoring of the SSO events: motion, moisture, temperature and water quality sensors; video image analysis; sampling of human specific contaminants like caffeine in the receiving waters; electrical contacts closing during SSO events; as well as various modelling approaches [9][10][11][12][13]. These methods have drawbacks of potential false detections (motion, moisture, temperature, electrical sensors), moderate to high investment, running and maintenance costs (water quality sensors, video image analysis, caffeine sampling), or the lack of long-term monitoring data and a calibrated model for the modelling approaches [10,12].…”

Section: Introductionmentioning

confidence: 99%

The feasibility of using flap gates as constriction flow meters for estimating sanitary sewer overflows (SSO)

Panasiuk¹,

Hedström²,

Ashley³

et al. 2019

Desalination and Water Treatment

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a b s t r a c tIncreased awareness of the negative effects of sanitary sewer overflow (SSO) events on human health and aquatic life led to the development of various control measures, of which implementation is impeded by the lack of information on SSO occurrences, flows and volumes. The collection of such information requires data acquisition systems, which can be costly and are fully utilized just during limited time periods of the year. In search for inexpensive approaches to SSO monitoring, the feasibility of using existing flap gate installations, serving for prevention of back-up flows into sewers, as constriction flow meters was investigated, with promising results. An experimental pilotscale setup was designed to allow steady water flow through a flap gate built into a partition wall between two chambers. The stabilized water heads in the chambers and the flow rate through the flap gate were measured, for both dry and submerged flap gate conditions, and five flap gate sizes (200, 300, 400, 500 and 600 mm), with relatively heavy covers (6-102 kg). The measured data were used to develop flow rating curves, by non-linear regression, in the form Q = f (ΔH), where Q is the discharge through the flap gate and ΔH is the pressure differential upstream and downstream of the gate. The regression curves fitted the experimental data with high precision (R 2 >0.99). The use of flow rating curves for estimation of the SSO volume was discussed. This study demonstrated that the water head measurements upstream and downstream of the flap gate can provide a reliable, accurate and inexpensive method for quantification of the SSO discharges and volumes.

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Real-Time Control of Rainwater Harvesting Systems: The Benefits of Increasing Rainfall Forecast Window

Fletcher

Burns

et al. 2020

Preprint

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Field validation of a new low-cost method for determining occurrence and duration of combined sewer overflows

Cited by 22 publications

References 28 publications

Using data from monitoring combined sewer overflows to assess, improve, and maintain combined sewer systems

Using data from monitoring combined sewer overflows to assess, improve, and maintain combined sewer systems

The feasibility of using flap gates as constriction flow meters for estimating sanitary sewer overflows (SSO)

Real-Time Control of Rainwater Harvesting Systems: The Benefits of Increasing Rainfall Forecast Window

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