Assessing the effect of catchment characteristics to enhanced coagulation in drinking water treatment: RSM models and sensitivity analysis
| Autor: | Marta Verdaguer, Ll. Godo-Pla, J. Suquet, L. Ferràndez, Manel Poch, Hèctor Monclús, Maria J. Martin, M. Valentí |
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| Přispěvatelé: | Agencia Estatal de Investigación |
| Rok vydání: | 2021 |
| Předmět: |
Total organic carbon
geography Environmental Engineering geography.geographical_feature_category Drinking Water Environmental engineering Drainage basin Drinking water -- Purification Pollution Water Purification Disinfection Rivers Water Quality Environmental Chemistry Environmental science Coagulation (water treatment) Water treatment Water quality Response surface methodology Turbidity Aigua potable -- Depuració Waste Management and Disposal Surface water Water Pollutants Chemical |
| Zdroj: | Science of The Total Environment, 2021, vol. 799, art. núm.149398 Articles publicats (D-EQATA) DUGiDocs – Universitat de Girona instname |
| ISSN: | 0048-9697 |
| DOI: | 10.1016/j.scitotenv.2021.149398 |
| Popis: | Coagulation is the main process for removing natural organic matter (NOM), considered to be the major disinfection by-products (DBPs) precursor in drinking water production. In this work, k-means clusters analysis were used to classify influent waters from two different surface drinking water treatment plants (DWTPs) located in the Mediterranean region. From this, enhanced coagulation models based on response surface methodology (RSM) were then developed to optimise coagulation at two water catchments (river and reservoir). The cluster analysis classified the water quality of the raw waters into two groups related to baseline and peak organic loads. The developed enhanced coagulation models were based on the turbidity, total organic carbon (TOC) and UV254 removals. Sensitivity analysis applied to the models (after predictors selection) determined the factors relative individual contributions for each DWTP scenario. Then, profile plots for enhanced coagulation were studied to identify the optimal levels for each case. Models mean R2 were 0.85 and 0.86 in baseline and 0.85 and 0.84 in peak scenario for river and reservoir catchments, respectively. Results of this study indicate that the surface water quality variation in river DWTP is seasonal and is expressed by an increase of turbidity, while in the reservoir DWTP is related to extreme weather events showing high levels of dissolved organic load (TOC and UV254). During baseline cases, where raw waters present low levels of organics, the three factors optimal adjustment should be ensured to optimise coagulation. Then, during peak scenarios, where influent waters present high organics, the optimal for enhanced coagulation relies on the correct adjustment of Cd. The presented work provides models for drinking water production aimed to propose the optimum conditions for enhanced coagulation, considering the influent water characteristics under different weather conditions This research was funded by the Ministerio de Economía, Industria y Competitividad, Gobierno de España: Retos de la Sociedad Projects (CTM2017-83598-R & PID2020-112615RA-I00). In addition, this study was supported by the Universitat de Girona through the PhD student grants IFUdG2018-69 (Jordi Suquet) and 2020 FISDU 00330 (Meritxell Valentí), and by the Spanish Ministry of Science and Innovation (MICINN) for the Ramon y Cajal research fellowship (RYC2019-026434-I) (Hèctor Monclús). LEQUIA has been recognized as consolidated research group by the Catalan Government (2017-SGR-1552) Open Access funding provided thanks to the CRUE-CSIC agreement with Elsevier |
| Databáze: | OpenAIRE |
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