Evaluation of second order and parallel second order approaches to model temperature variation in chlorine decay modelling
All drinking water receives some form of disinfection and a minimum residual should remain at the customer’s tap. Most popular disinfectant of all is chlorine. Chlorine reacts with compounds in water and hence leads to decay. Temperature is one of the important factors that control the rate of decay...
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| Format: | Journal Article |
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Desalination Publications
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/24607 |
| _version_ | 1848751477644853248 |
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| author | Jabari Kohpaei, Ahmad Sathasivan, Arumugam Aboutalebi, Hanieh |
| author_facet | Jabari Kohpaei, Ahmad Sathasivan, Arumugam Aboutalebi, Hanieh |
| author_sort | Jabari Kohpaei, Ahmad |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | All drinking water receives some form of disinfection and a minimum residual should remain at the customer’s tap. Most popular disinfectant of all is chlorine. Chlorine reacts with compounds in water and hence leads to decay. Temperature is one of the important factors that control the rate of decay. Annual water temperature variations of more than 20°C are common in distribution systems, so that dosing needs to be adjusted substantially between seasons to maintain residuals within desired limits. Arrhenius equation has been successfully used to estimate the temperature effects on chlorine decay reactions, especially when temperature is below 30°C. The temperature dependence parameter estimated is activation energy (E)/universal gas constant (R). A number of chlorine decay tests were conducted, by varying temperature from 15–50°C. Resulting chlorine measurements were input into AQUASIM, data fitting was performed using the parallel second order model (PSOM) proposed by Kastl et al. [1] and second order model (SOM) proposed by Clark [2]. The model parameters for all modelling approaches were estimated using AQUASIM. PSOM has two reactants and two respective decay coefficients. Results showed that PSOM fitted the data very well when either single or two E/Rs were used. On the contrary, the SOM did not show a good fit to the experimental chlorine decay profile for the same data sets. The results, therefore, indicated PSOM is more convenient to describe chlorine decay profile over a wide range of temperature. |
| first_indexed | 2025-11-14T07:53:21Z |
| format | Journal Article |
| id | curtin-20.500.11937-24607 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:53:21Z |
| publishDate | 2011 |
| publisher | Desalination Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-246072017-09-13T15:51:05Z Evaluation of second order and parallel second order approaches to model temperature variation in chlorine decay modelling Jabari Kohpaei, Ahmad Sathasivan, Arumugam Aboutalebi, Hanieh Chlorine decay Disinfection Parallel second order model (PSOM) Parameter estimation Temperature Second order model (SOM) All drinking water receives some form of disinfection and a minimum residual should remain at the customer’s tap. Most popular disinfectant of all is chlorine. Chlorine reacts with compounds in water and hence leads to decay. Temperature is one of the important factors that control the rate of decay. Annual water temperature variations of more than 20°C are common in distribution systems, so that dosing needs to be adjusted substantially between seasons to maintain residuals within desired limits. Arrhenius equation has been successfully used to estimate the temperature effects on chlorine decay reactions, especially when temperature is below 30°C. The temperature dependence parameter estimated is activation energy (E)/universal gas constant (R). A number of chlorine decay tests were conducted, by varying temperature from 15–50°C. Resulting chlorine measurements were input into AQUASIM, data fitting was performed using the parallel second order model (PSOM) proposed by Kastl et al. [1] and second order model (SOM) proposed by Clark [2]. The model parameters for all modelling approaches were estimated using AQUASIM. PSOM has two reactants and two respective decay coefficients. Results showed that PSOM fitted the data very well when either single or two E/Rs were used. On the contrary, the SOM did not show a good fit to the experimental chlorine decay profile for the same data sets. The results, therefore, indicated PSOM is more convenient to describe chlorine decay profile over a wide range of temperature. 2011 Journal Article http://hdl.handle.net/20.500.11937/24607 10.5004/dwt.2011.2684 Desalination Publications restricted |
| spellingShingle | Chlorine decay Disinfection Parallel second order model (PSOM) Parameter estimation Temperature Second order model (SOM) Jabari Kohpaei, Ahmad Sathasivan, Arumugam Aboutalebi, Hanieh Evaluation of second order and parallel second order approaches to model temperature variation in chlorine decay modelling |
| title | Evaluation of second order and parallel second order approaches to model temperature variation in chlorine decay modelling |
| title_full | Evaluation of second order and parallel second order approaches to model temperature variation in chlorine decay modelling |
| title_fullStr | Evaluation of second order and parallel second order approaches to model temperature variation in chlorine decay modelling |
| title_full_unstemmed | Evaluation of second order and parallel second order approaches to model temperature variation in chlorine decay modelling |
| title_short | Evaluation of second order and parallel second order approaches to model temperature variation in chlorine decay modelling |
| title_sort | evaluation of second order and parallel second order approaches to model temperature variation in chlorine decay modelling |
| topic | Chlorine decay Disinfection Parallel second order model (PSOM) Parameter estimation Temperature Second order model (SOM) |
| url | http://hdl.handle.net/20.500.11937/24607 |