Literature DB >> 19403959

Potential of turbidity monitoring for real time control of pollutant discharge in sewers during rainfall events.

C Lacour1, C Joannis, M-C Gromaire, G Chebbo.   

Abstract

Turbidity sensors can be used to continuously monitor the evolution of pollutant mass discharge. For two sites within the Paris combined sewer system, continuous turbidity, conductivity and flow data were recorded at one-minute time intervals over a one-year period. This paper is intended to highlight the variability in turbidity dynamics during wet weather. For each storm event, turbidity response aspects were analysed through different classifications. The correlation between classification and common parameters, such as the antecedent dry weather period, total event volume per impervious hectare and both the mean and maximum hydraulic flow for each event, was also studied. Moreover, the dynamics of flow and turbidity signals were compared at the event scale. No simple relation between turbidity responses, hydraulic flow dynamics and the chosen parameters was derived from this effort. Knowledge of turbidity dynamics could therefore potentially improve wet weather management, especially when using pollution-based real-time control (P-RTC) since turbidity contains information not included in hydraulic flow dynamics and not readily predictable from such dynamics.

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Year:  2009        PMID: 19403959     DOI: 10.2166/wst.2009.169

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  2 in total

1.  Assessment of the contribution of sewer deposits to suspended solids loads in combined sewer systems during rain events.

Authors:  A Hannouche; G Chebbo; C Joannis
Journal:  Environ Sci Pollut Res Int       Date:  2013-12-05       Impact factor: 4.223

2.  Hyperspectral sensing for turbid water quality monitoring in freshwater rivers: Empirical relationship between reflectance and turbidity and total solids.

Authors:  Jiunn-Lin Wu; Chung-Ru Ho; Chia-Ching Huang; Arun Lal Srivastav; Jing-Hua Tzeng; Yao-Tung Lin
Journal:  Sensors (Basel)       Date:  2014-11-28       Impact factor: 3.576

  2 in total

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