Effectiveness of parallel second order model over second and first order models
The chlorine decay is usually described by the first order model (FOM) due to its easiness, although its weaknesses are well known. In this work, two better models, second order model (SOM) and parallel second order model (PSOM), are compared for their accuracy to predict chlorine residuals for a si...
| Main Authors: | , , |
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| Format: | Journal Article |
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Desalination Publications
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/5425 |
| _version_ | 1848744793261211648 |
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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 | The chlorine decay is usually described by the first order model (FOM) due to its easiness, although its weaknesses are well known. In this work, two better models, second order model (SOM) and parallel second order model (PSOM), are compared for their accuracy to predict chlorine residuals for a single dosing scenario. Results showed that SOM model provided a better prediction compared to FOM. However, SOM had two important shortcomings. Firstly, it overly predicted residuals in the lower end of chlorine decay curve, implying false sense of security in achieving secondary disinfection goals. Secondly, when higher initial dose was practiced, chlorine residual prediction was poorer. PSOM on the other hand provided the best fit for the experimental data in the initial as well as the later part of the decay curve for any doses. Compared to SOM which had two parameters, PSOM is more complex as it uses four parameters. Comparing to the advantages, complexity of PSOM is not an issue as EPANET-MSX can be used for full scale system simulation. |
| first_indexed | 2025-11-14T06:07:06Z |
| format | Journal Article |
| id | curtin-20.500.11937-5425 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:07:06Z |
| publishDate | 2011 |
| publisher | Desalination Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-54252017-09-13T16:02:18Z Effectiveness of parallel second order model over second and first order models Jabari Kohpaei, Ahmad Sathasivan, Arumugam Aboutalebi, Hanieh Chlorine decay Disinfection Parallel second order model (PSOM) First order model (FOM) Parameter estimation EPANET-MSX Second order model (SOM) The chlorine decay is usually described by the first order model (FOM) due to its easiness, although its weaknesses are well known. In this work, two better models, second order model (SOM) and parallel second order model (PSOM), are compared for their accuracy to predict chlorine residuals for a single dosing scenario. Results showed that SOM model provided a better prediction compared to FOM. However, SOM had two important shortcomings. Firstly, it overly predicted residuals in the lower end of chlorine decay curve, implying false sense of security in achieving secondary disinfection goals. Secondly, when higher initial dose was practiced, chlorine residual prediction was poorer. PSOM on the other hand provided the best fit for the experimental data in the initial as well as the later part of the decay curve for any doses. Compared to SOM which had two parameters, PSOM is more complex as it uses four parameters. Comparing to the advantages, complexity of PSOM is not an issue as EPANET-MSX can be used for full scale system simulation. 2011 Journal Article http://hdl.handle.net/20.500.11937/5425 10.5004/dwt.2011.2685 Desalination Publications restricted |
| spellingShingle | Chlorine decay Disinfection Parallel second order model (PSOM) First order model (FOM) Parameter estimation EPANET-MSX Second order model (SOM) Jabari Kohpaei, Ahmad Sathasivan, Arumugam Aboutalebi, Hanieh Effectiveness of parallel second order model over second and first order models |
| title | Effectiveness of parallel second order model over second and first order models |
| title_full | Effectiveness of parallel second order model over second and first order models |
| title_fullStr | Effectiveness of parallel second order model over second and first order models |
| title_full_unstemmed | Effectiveness of parallel second order model over second and first order models |
| title_short | Effectiveness of parallel second order model over second and first order models |
| title_sort | effectiveness of parallel second order model over second and first order models |
| topic | Chlorine decay Disinfection Parallel second order model (PSOM) First order model (FOM) Parameter estimation EPANET-MSX Second order model (SOM) |
| url | http://hdl.handle.net/20.500.11937/5425 |