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Automated monitoring stations for water quality

Nowadays, on-line sensors are largely used for water quality monitoring of different water bodies to reach different goals. Data acquisition systems can provide high measuring frequencies allowing better description of the dynamics in reactive water bodies (river, combined sewer, etc.) compared to grab or composite samples. Consequently, a large amount of data is produced with uncertain quality. Unfortunately manual data validation is very tedious. Therefore, automatic data quality assessment tools (ADQATs) are necessary to validate time series and to use them for their meant application. In that sense, poor quality data could drastically affect the results of their application, namely water quality models, WWTP control rules, etc. 

In this project, ADQATs are beeing developed and applied to a real case to evaluate their performance in terms of producing good experimental data quality. They are applied to an in-situ monitoring station, monEAU, measuring the water quality dynamics during rain events affecting a small urban river which is highly influenced by a storm sewer system. With the quality-controlled data, a water quality model is to be built to evaluate the influence of controlled outlet detention ponds on urban river water quality.

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Faculty of Science and Engineering - Université Laval
Peter Vanrolleghem - Department of civil engineering and water engineering - Pavillon Adrien-Pouliot - 1065, Médecine avenue, Office 2974
Québec (Québec) - Canada - G1V 0A6 - Telephone : +1-418-656-5085 Email : peter.vanrolleghem@gci.ulaval.ca
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