Activities per year
Abstract
In drinking water treatment, disinfection is a key step to ensure the safety of water quality and people’s health but little is known of the relationship between chlorine consumption and water matrix properties from varied sources (BWM). In this study, we measured the fluorescence from fractions of NOM (FFN) for the relevant BWM. This included the evaluation of three components: the chlorine-dependence factor (CDF) (DOC and NH3-N), the BWM (such as NO3−, NO2− and turbidity), and FFN (I-V fluorescence fractions). Multi-linear regression model was used to fit the data. Results showed that when using the CDF, BWM and FNN, in the prediction of chlorine consumption showed the (R2) values were 0.72, 0.71 and 0.41, respectively. While the FNN did not fit the model well it did enhance the model using CDF by 11.26%. The FNN is not effective in enhancement of the BWM response to the model. Combination of the CDF, BWM and FNN or that of the CDF and BWM were both effective in prediction of chlorine consumption.
Original language | English |
---|---|
Article number | 200402 |
Number of pages | 7 |
Journal | Environmental Engineering Research |
Volume | 26 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2 Sept 2020 |
Keywords
- chlorine consumption
- fluorescence
- model
- water
Fingerprint
Dive into the research topics of 'Multi-linear regression model for chlorine consumption by waters'. Together they form a unique fingerprint.Activities
- 1 Types of Award - Fellowship awarded competitively
-
High End Expert Scholarship – Hunan Regional Government
Hursthouse, A. (Recipient)
2016 → 2019Activity: Other › Types of Award - Fellowship awarded competitively
Prizes
-
Liancheng Friendship Award of Xiangtan City, Hunan.
Hursthouse, A. (Recipient), 12 Dec 2017
Prize: Prize (including medals and awards)