DEVELOPMENT OF REMOVAL EFFICIENCY-DRIVEN MULTIPLE REGRESSION MODELS FOR 2-MIB AND GEOSMIN PREDICTION

Abstract

2-Methylisoborneol (2-MIB) and geosmin, two primary taste and odor compounds in drinking water, cause significant quality concerns due to their algal origin and extremely low odor thresholds. This study aims to develop multiple linear regression (MLR) models to estimate 2-MIB and geosmin concentrations using total organic carbon (TOC) and chlorophyll-a as explanatory variables. Experimental data were obtained from water samples collected from Altınapa Dam and treated through various processes, including activated carbon adsorption, sulfonic acid-modified activated carbon adsorption, integrated activated carbon and peroxone process, and integrated sulfonic acid-modified activated carbon and peroxone process. Both classical linear regression and log-log models based on natural logarithmic transformations were constructed and comparatively evaluated. The results showed that sulfonic acid-modified activated carbon exhibited higher removal efficiencies for TOC, chlorophyll-a, 2-MIB, and geosmin compared to unmodified activated carbon. Maximum removal efficiencies of 91% for 2-MIB and 83% for geosmin were achieved using 8 mg/L of sulfonic acid-modified activated carbon combined with a 0.3 peroxone ratio. The log-log regression models yielded lower root mean square error (RMSE) and mean absolute percentage error (MAPE) values compared to classical linear models, indicating improved predictive capability. TOC was identified as a consistently significant predictor, while chlorophyll-a had a stronger influence on 2-MIB prediction and a more limited effect on geosmin. The findings suggest that statistical regression modeling—particularly log-log approaches—can serve as effective decision-support tools for optimizing treatment strategies to control taste and odor events in drinking water systems.

Keywords

• 2-MIB
• Activated carbon
• Drinking water quality
• Geosmin
• Multilinear regression
• Peroxone.

Project Number

TUBITAK, project no. 123Y447

Thanks

This study was financially supported by the Scientific and Technological Research Council of Turkey (TUBITAK, project no. 123Y447) and is gratefully acknowledged by the authors.

References

1. H. M. Franklin, R. Podduturi, N. O. Jørgensen, D. T. Roberts, L. Schlüter and M. A. Burford, “Potential sources and producers of 2-methylisoborneol and geosmin in a river supplying a drinking water treatment plant”, Chemical Engineering Journal Advances, vol. 14, no. 100455, pp. 1-12, May 2023, https://doi.org/10.1016/j.ceja.2023.100455.
2. S. Mustapha, J. O. Tijani, M. M. Ndamitso, A. S. Abdulkareem, D. T. Shuaib and A. K. Mohammed, “A critical review on geosmin and 2-methylisoborneol in water: sources, effects, detection, and removal techniques”, Environmental Monitoring and Assessment, vol. 193, no. 204, pp. 1-34, March 2021. https://doi.org/10.1007/s10661-021-08980-9.
3. Y. Shuai, K. Zhang, H. Zhu, J. Lou and T. Zhang, “Toward the upgrading quality of drinking water from flavor evaluation: taste, feeling, and retronasal odor issues”, ACS ES&T Engineering, vol. 3, no. 3, pp. 308-321, February 2023. https://doi.org/10.1021/acsestengg.2c00354.
4. R. Akcaalan, R. Devesa-Garriga, A. Dietrich, M. Steinhaus, A. Dunkel, V. Mall, M. Manganelli, S. Scardala, E. Testai, G. A. Codd, F. Kozisek, M. Antanopoulou, A. R. L. Riberio, M. J. Sampaio, A. Hiskia, T. M. Triantis, D. D. Dionysiou, G. L. Puma, L. Lawton, C. Edwards, H. R. Andersen, D. Fatta-Kassinos, P. Karaolia, A. Combes, K. Panksep, S. K. Zervou, M. Albay, L. Köker, E. Chernova, S. Iliakopoulou, E. Varga, P. M. Visser, A. I. Gialleli, Z. Zengin, N. Deftereos, P. Miskaki, C. Christophoridis, A. Paraskevopoulou, T. F. Lin, A. Zamyadi, G. Dimova and T. Kaloudis, “Water taste and odor (T&O): Challenges, gaps and solutions from a perspective of the WaterTOP network”, Chemical Engineering Journal Advances, vol. 12, no. 100409, pp. 1-9, November 2022, https://doi.org/10.1016/j.ceja.2022.100409.
5. M. de França Doria, “Factors influencing public perception of drinking water quality”, Water policy, vol. 12, no. 1, pp. 1-19, November 2010. https://doi.org/10.2166/wp.2009.051.
6. R. Srinivasan and G. A. Sorial, “Treatment of taste and odor causing compounds 2-methyl isoborneol and geosmin in drinking water: A critical review”, Journal of Environmental Sciences, vol. 23, no. (1), pp. 1-13, January 2011. https://doi.org/10.1016/S1001-0742(10)60367-1.
7. M. Manganelli, E. Testai, Z. Tazart, S. Scardala and G. A. Codd, “Co-occurrence of taste and odor compounds and cyanotoxins in cyanobacterial blooms: emerging risks to human health?”, Microorganisms, vol. 11(4), no. 872, pp. 1-35, March 2023. https://doi.org/10.3390/microorganisms11040872.
8. A. W. Mumbi and T. Watanabe, “Differences in risk perception of water quality and its influencing factors between lay people and factory workers for water management in River Sosiani, Eldoret Municipality Kenya”, Water, vol. 12(8), no. 2248, pp. 1-25, August 2020. https://doi.org/10.3390/w12082248.

9. G. Wen, X. Li, X. Qiu, Y. Cheng, Y. Sun, T. Huang, “Characteristics of Water Pollution in Typical Reservoirs”, in Water Pollution and Water Quality Control of Selected Chinese Reservoir Basins. The Handbook of Environmental Chemistry, vol 38. Springer, Cham. 2016, pp. 25-94. https://doi.org/10.1007/978-3-319-20391-1_2
10. Z. Yue, Y. Chen, Z. Wu, X. Cheng, Z. Bao, X. Deng, H. Shen, J. Liu, P. Xie and J. Chen, “Thermal stratification controls taste and odour compounds by regulating the phytoplankton community in a large subtropical water source reservoir (Xin'anjiang Reservoir)”, Journal of Hazardous Materials, vol. 466, no. 133539, pp. 1-12, March 2024. https://doi.org/10.1016/j.jhazmat.2024.133539.
11. V. Sagan, K. T. Peterson, M. Maimaitijiang, P. Sidike, J. Sloan, B. A. Greeling, M. Samar and C. Adams, “Monitoring inland water quality using remote sensing: Potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing”, Earth-Science Reviews, vol. 205, no. 103187, pp. 1-31, June 2020. https://doi.org/10.1016/j.earscirev.2020.103187.
12. N. B. Chang, S. Imen and B. Vannah, “Remote sensing for monitoring surface water quality status and ecosystem state in relation to the nutrient cycle: a 40-year perspective”, Critical Reviews in Environmental Science and Technology, vol. 45(2), pp. 101-166, October 2015. https://doi.org/10.1080/10643389.2013.829981.
13. D. Machiwal and M. K. Jha, “Time series analysis of hydrologic data for water resources planning and management: a review”, Journal of Hydrology and Hydromechanics, vol. 54(3), pp. 237-257, January 2006.
14. H. R. Maier, A. Jain, G. C. Dandy and K. P. Sudheer, “Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions”, Environmental modelling & software, vol. 25(8), pp. 891-909, August 2010. https://doi.org/10.1016/j.envsoft.2010.02.003.
15. Z. Liu, J. Zhou, X. Yang, Z. Zhao & Y. L, “Research on water resource modeling based on machine learning technologies”, Water, vol. 16(3), no. 472, pp. 1-26. January 2024. https://doi.org/10.3390/w16030472.
16. P. S. Patel, D. M. Pandya and M. Shah, “A holistic review on the assessment of groundwater quality using multivariate statistical techniques”, Environmental Science and Pollution Research, vol. 30(36), pp. 85046-85070, January 2023. https://doi.org/10.1007/s11356-023-27605-x.
17. M. Valentini, G. B. dos Santos and B. Muller Vieira, “Multiple linear regression analysis (MLR) applied for modeling a new WQI equation for monitoring the water quality of Mirim Lagoon, in the state of Rio Grande do Sul—Brazil”, SN Applied Sciences, vol. 3, pp. 1-11, January 2021. https://doi.org/10.1007/s42452-020-04005-1.
18. S. Bruder, M. Babbar-Sebens, L. Tedesco and E. Soyeux (2014). Use of fuzzy logic models for prediction of taste and odor compounds in algal bloom-affected inland water bodies. Environmental monitoring and assessment, vol. 186, pp. 1525-1545, January 2014. https://doi.org/10.1007/s10661-013-3471-1.
19. K. Chen, H. Chen, C. Zhou, Y. Huang, X. Qi, R. Shen, F. Liu, M. Zuo, X. Zou, J. Wang, Y. Zhang, D. Chen, X. Chen, Y. Deng and H. Ren, “Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data”, Water research, vol. 171, no. 115454, pp. 1-10, March 2020. https://doi.org/10.1016/j.watres.2019.115454 .
20. M. Goswami and P. Phukan, “Enhanced adsorption of cationic dyes using sulfonic acid modified activated carbon”, Journal of Environmental Chemical Engineering, vol. 5(4), pp. 3508-3517, August 2017. https://doi.org/10.1016/j.jece.2017.07.016.
21. V. Uyak, K. Ozdemir and I. Toroz, “Multiple linear regression modeling of disinfection by-products formation in Istanbul drinking water reservoirs”, Science of the Total Environment, vol. 378(3), pp. 269-280, June 2007. https://doi.org/10.1016/j.scitotenv.2007.02.041.
22. G. Civelekoğlu, N.Ö. Yiğit, E. Diamadopoulos and M. Kitiş, “Prediction of Bromate Formation Using Multi-Linear Regression and Artificial Neural Networks”, Ozone: Science and Engineering, vol. 29(5), pp. 353–362, October 2007. https://doi.org/10.1080/01919510701549327.
23. R. Song, R. Minear, P. Westerhoff, G.L. Amy, ‘‘Modeling and Risk Analysis of Bromate Formation from Ozonation of Bromide-Containing Waters’’, Water Sci. Technol., vol. 34(7–8), pp. 79–85, October 1996. https://doi.org/10.2166/wst.1996.0604.
24. T. L. Adewoye, O. O. Ogunleye, A. S. Abdulkareem, T. O. Salawudeen and J. O. Tijani, “Optimization of the adsorption of total organic carbon from produced water using functionalized multi-walled carbon nanotubes”, Heliyon, vol. 7(1), no. e05866, pp. 1-15, January 2021. https://doi.org/10.1016/j.heliyon.2020.e05866.
25. A. Bhatnagar, W. Hogland, M. Marques and M. Sillanpää, “An overview of the modification methods of activated carbon for its water treatment applications”, Chemical Engineering Journal, vol. 219, pp. 499-511, March 2013. https://doi.org/10.1016/j.cej.2012.12.038.
26. Z. Jeirani, C. H. Niu and J. Soltan, “Adsorption of emerging pollutants on activated carbon”, Reviews in Chemical Engineering, vol. 33(5), pp. 491-522, December 2017. https://doi.org/10.1515/revce-2016-0027.
27. N. Cheng, B. Wang, P. Wu, X. Lee, Y. Xing, M. Chen and B. Gao, “Adsorption of emerging contaminants from water and wastewater by modified biochar: A review”, Environmental Pollution, vol. 273, no. 116448, pp. 1-14, March 2021. https://doi.org/10.1016/j.envpol.2021.116448.
28. Y. Sun and P. A. Webley, “Preparation of activated carbons from corncob with large specific surface area by a variety of chemical activators and their application in gas storage”, Chemical Engineering Journal, vol. 162(3), pp. 883-892, September 2010. https://doi.org/10.1016/j.cej.2010.06.031.
29. S. Hokkanen, A. Bhatnagar and M. Sillanpää, “A review on modification methods to cellulose-based adsorbents to improve adsorption capacity”, Water research, vol. 91, pp. 156-173, March 2016. https://doi.org/10.1016/j.watres.2016.01.008.
30. Y. Matsui, S. Nakao, A. Sakamoto, T. Taniguchi, L. Pan, T. Matsushita and N. Shirasaki, “Adsorption capacities of activated carbons for geosmin and 2-methylisoborneol vary with activated carbon particle size: Effects of adsorbent and adsorbate characteristics”, Water Research, vol. 85, pp. 95-102, November 2015. https://doi.org/10.1016/j.watres.2015.08.017.
31. J. Yuan and R. Hofmann, “Adsorption and biodegradation of 2-methylisoborneol and geosmin in drinking water granular activated carbon filters: A review and meta-analysis”, Journal of Hazardous Materials, vol. 440, no. 129838, pp. 1-11, October 2022. https://doi.org/10.1016/j.jhazmat.2022.129838.
32. C. Ozgur, “The analytic hierarchy process method to design applicable decision making for the effective removal of 2-MIB and geosmin in water sources”, Environmental Science and Pollution Research, vol. 31(8), pp. 12431-12445, January 2024. https://doi.org/10.1007/s11356-024-31848-7.
33. S. Chong, H. Lee and K. G. An, “Predicting taste and odor compounds in a shallow reservoir using a three–dimensional hydrodynamic ecological model”, Water, vol. 10(10), no. 1396, pp. 1-19, September 2018. https://doi.org/10.3390/w10101396.
34. A. R. Dzialowski, V. H. Smith, D. G. Huggins, F. Denoyelles, N. C. Lim, D. S. Baker and J. H. Beury, “Development of predictive models for geosmin-related taste and odor in Kansas, USA, drinking water reservoirs”, Water Research, vol. 43(11), pp. 2829-2840, June 2009. https://doi.org/10.1016/j.watres.2009.04.001.
35. A. Saravanan, V. C. Deivayanai, P. S. Kumar, G. Rangasamy, R. V. Hemavathy, T. Harshana, N. Gayathri and K. Alagumalai, “A detailed review on advanced oxidation process in treatment of wastewater: Mechanism, challenges and future outlook”, Chemosphere, vol. 308, no. 136524, pp. 1-11, December 2022. https://doi.org/10.1016/j.chemosphere.2022.136524.
36. R. Lin, Y. Li, T. Yong, W. Cao, J. Wu and Y. Shen, “Synergistic effects of oxidation, coagulation and adsorption in the integrated fenton-based process for wastewater treatment: A review”, Journal of Environmental Management, vol. 306, no. 114460, pp. 1-15, March 2022. https://doi.org/10.1016/j.jenvman.2022.114460.
37. T. R. Fonseca, A. P. N. das Neves, D. A. Castro and G. S. Cavallini, “Pre-oxidation with peracetic acid to degradation of chlorophyll-a from drinking water: A comparative study with calcium hypochlorite”, Journal of Water Process Engineering, vol. 38, no. 101643, pp. 1-5, December 2020. https://doi.org/10.1016/j.jwpe.2020.101643.
38. G. Xue, H. Liu, Q. Chen, C. Hills, M. Tyrer and F. Innocent, “Synergy between surface adsorption and photocatalysis during degradation of humic acid on TiO2/activated carbon composites”, Journal of Hazardous Materials, vol. 186(1), pp. 765-772, February 2011. https://doi.org/10.1016/j.jhazmat.2010.11.063.
39. S. de Boer, J. González-Rodríguez, J. J. Conde and M. T. Moreira, “Benchmarking tertiary water treatments for the removal of micropollutants and pathogens based on operational and sustainability criteria”, Journal of Water Process Engineering, vol. 46, no. 102587, pp. 1-25, April 2022. https://doi.org/10.1016/j.jwpe.2022.102587.
40. J. Lamouroux, C. Meyer, S. Leblond and I. Albert, “Spatial extrapolation of cadmium concentration in terrestrial mosses using multiple linear regression model predictions across French biogeographical regions”, Environmental Science and Pollution Research, vol. 32, pp. 5276–5292, January 2025. https://doi.org/10.1007/s11356-025-35985-5.
41. C. Wang, C. Dong, J. Gao and J. Zhou. “Comparative Environmental Analysis of 2-MIB Removal via Powdered Activated Carbon Adsorption and Enhanced Biofiltration from a Life Cycle Perspective”, ACS ES&T Water, vol. 5(2), pp. 749-760, January 2025. https://doi.org/10.1021/acsestwater.4c00815.
42. H. Cheng, W. Li, C. Zhang, Z. Dai, H. Dai, H. Chen, C. Wen, F. Cheng and X. Lu, “Innovation of a biofilm system for odor mitigation and enhanced nitrogen removal in decentralized sewage treatment: Performance and microbial community analysis”, Journal of Water Process Engineering, vol. 69, no. 106767, pp. 1-10, January 2025. https://doi.org/10.1016/j.jwpe.2024.106767.