Literature DB >> 33925612

A Low-Cost Water Depth and Electrical Conductivity Sensor for Detecting Inputs into Urban Stormwater Networks.

Baiqian Shi1, Stephen Catsamas1, Peter Kolotelo1, Miao Wang1, Anna Lintern1, Dusan Jovanovic1,2, Peter M Bach3,4, Ana Deletic5, David T McCarthy1.   

Abstract

High-resolution data collection of the urban stormwater network is crucial for future asset management and illicit discharge detection, but often too expensive as sensors and ongoing frequent maintenance works are not affordable. We developed an integrated water depth, electrical conductivity (EC), and temperature sensor that is inexpensive (USD 25), low power, and easily implemented in urban drainage networks. Our low-cost sensor reliably measures the rate-of-change of water level without any re-calibration by comparing with industry-standard instruments such as HACH and HORIBA's probes. To overcome the observed drift of level sensors, we developed an automated re-calibration approach, which significantly improved its accuracy. For applications like monitoring stormwater drains, such an approach will make higher-resolution sensing feasible from the budget control considerations, since the regular sensor re-calibration will no longer be required. For other applications like monitoring wetlands or wastewater networks, a manual re-calibration every two weeks is required to limit the sensor's inaccuracies to ±10 mm. Apart from only being used as a calibrator for the level sensor, the conductivity sensor in this study adequately monitored EC between 0 and 10 mS/cm with a 17% relative uncertainty, which is sufficient for stormwater monitoring, especially for real-time detection of poor stormwater quality inputs. Overall, our proposed sensor can be rapidly and densely deployed in the urban drainage network for revolutionised high-density monitoring that cannot be achieved before with high-end loggers and sensors.

Entities:  

Keywords:  distributed sensing; electric conductivity; illegal discharge detection; low cost; low power; real-time environmental monitoring; water IoT; water level measurement

Year:  2021        PMID: 33925612     DOI: 10.3390/s21093056

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  13 in total

1.  Temperature-electrical conductivity relation of water for environmental monitoring and geophysical data inversion.

Authors:  Masaki Hayashi
Journal:  Environ Monit Assess       Date:  2004 Aug-Sep       Impact factor: 2.513

2.  Stormwater quality models: performance and sensitivity analysis.

Authors:  C B S Dotto; M Kleidorfer; A Deletic; T D Fletcher; D T McCarthy; W Rauch
Journal:  Water Sci Technol       Date:  2010       Impact factor: 1.915

3.  Understanding heavy metal and suspended solids relationships in urban stormwater using simulated rainfall.

Authors:  Lars Herngren; Ashantha Goonetilleke; Godwin A Ayoko
Journal:  J Environ Manage       Date:  2005-04-02       Impact factor: 6.789

4.  Locating illicit connections in storm water sewers using fiber-optic distributed temperature sensing.

Authors:  O A C Hoes; R P S Schilperoort; W M J Luxemburg; F H L R Clemens; N C van de Giesen
Journal:  Water Res       Date:  2009-08-25       Impact factor: 11.236

Review 5.  Surface water sewer misconnections in England and Wales: Pollution sources and impacts.

Authors:  J B Ellis; D Butler
Journal:  Sci Total Environ       Date:  2015-04-26       Impact factor: 7.963

6.  Testing of new stormwater pollution build-up algorithms informed by a genetic programming approach.

Authors:  Kefeng Zhang; Ana Deletic; Peter M Bach; Baiqian Shi; Jon M Hathaway; David T McCarthy
Journal:  J Environ Manage       Date:  2019-04-10       Impact factor: 6.789

7.  Impact of dry weather discharges on annual pollution from a separate storm sewer in Toulouse, France.

Authors:  S Deffontis; A Breton; C Vialle; M Montréjaud-Vignoles; C Vignoles; C Sablayrolles
Journal:  Sci Total Environ       Date:  2013-03-26       Impact factor: 7.963

8.  Smarter Stormwater Systems.

Authors:  Branko Kerkez; Cyndee Gruden; Matthew Lewis; Luis Montestruque; Marcus Quigley; Brandon Wong; Alex Bedig; Ruben Kertesz; Tim Braun; Owen Cadwalader; Aaron Poresky; Carrie Pak
Journal:  Environ Sci Technol       Date:  2016-07-08       Impact factor: 9.028

9.  StormSense: A New Integrated Network of IoT Water Level Sensors in the Smart Cities of Hampton Roads, VA.

Authors:  Derek Loftis; David Forrest; Sridhar Katragadda; Kyle Spencer; Tammie Organski; Cuong Nguyen; Sokwoo Rhee
Journal:  Mar Technol Soc J       Date:  2018       Impact factor: 0.708

10.  Uncertainties in stormwater E. coli levels.

Authors:  D T McCarthy; A Deletic; V G Mitchell; T D Fletcher; C Diaper
Journal:  Water Res       Date:  2007-11-17       Impact factor: 11.236

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