University of Twente Student Theses
Predicting the Formation of Disinfection Byproducts Using Environmental Parameters in Chlorinated Drinking Water
Kersten, J. (2024) Predicting the Formation of Disinfection Byproducts Using Environmental Parameters in Chlorinated Drinking Water.
|
PDF
3MB |
| Abstract: | Safe drinking water is crucial, yet 2.2 billion people lacked access to it in 2022. Chlorination, a common disinfection method, can produce harmful disinfection by-products (DBPs) like trihalomethanes (THMs) and halo-acetic acids (HAAs). These DBPs pose health risks, but only 30% of over 700 identified DBPs have been quantified, emphasizing the need for better predictive models. This project aims to further understand the relationship between water parameters such as, pH, alkalinity, DOC/TOC and SUVA/UVA, and the concentration of DBPs after chlorination; by doing a data analysis on publicly accessible data from the EPA and trying to fit various regression models for it. The best fit model achieved an R2 of 0.5 which was a Ridge Regression model for the bromoform DBP. The findings reveal the challenges to making accurate predictive models without enough good quality data. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 30 exact sciences in general, 35 chemistry, 43 environmental science, 54 computer science |
| Programme: | Creative Technology BSc (50447) |
| Link to this item: | https://purl.utwente.nl/essays/102565 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page