| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 593775 | Colloids and Surfaces A: Physicochemical and Engineering Aspects | 2013 | 7 Pages |
A jar test is commonly used to determine the chemical coagulation conditions in water treatment plants (WTPs). However, due to the frequent and intermittent turbidity measurements, and time-consuming determination for achieving optimal coagulation conditions, the jar test is not appropriate for the samples which are rapidly changing water turbidities. As an alternative, a streaming current detector (SCD) can be used by achieving electrically neutral conditions. A SCD can quantify the negatively charged particles by measuring the current of water samples. In this study, SCD titration was conducted to rapidly determine the optimal coagulation dosage for highly turbid waters (50 ∽ 600 NTU) prepared with suspensions of kaolin (100 ∽ 1000 mg/L). Polyaluminum chloride (PAC) and poly-diallyldimethylammonium chloride (poly-DADMAC) were added as coagulants. To estimate the optimal dose, a SCD titration-coagulation model was constructed, and its suitability was verified statistically by multiple linear regression analysis. In both homogeneous (PAC-PAC) and heterogeneous (poly-DADMAC-PAC) titration-coagulation models, the residual turbidity of highly turbid kaolin samples was successfully lowered to less than 1 NTU. The homogeneous model and the jar test showed a maximum difference of 3 mg/L for the suggested coagulant dose. Our results suggest that SCD can be applied to rapidly and accurately determine the coagulation dosage for highly turbid waters in water treatment plant even during rainy season.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► Streaming current detector (SCD) was used to determine optimal coagulation dosage. ► PAC and poly-DADMAC were added as coagulants. ► High turbidity water samples were lowered to <1 NTU after SCD titration. ► SCD titration model was verified statistically by multiple linear regression. ► SCD accurately determined the coagulation dosage for highly turbid water.
