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Assessing reaeration rate equations for modelling dissolved oxygen of Pusu river in Malaysia

Many authors reported high variability in the prediction of reaeration rates by various equations, leading to uncertainty in the estimation of the reaeration rate for a river. Due to this uncertainty, it is essential to identify a suitable equation to predict the dissolved oxygen (DO) concentration...

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Main Authors: Mamun, Abdullah Al, Nuruzzaman, M., Salleh, M.N.
Format: Article
Language:English
Published: Akademi Sains Malaysia 2023
Subjects:
TD172 Environmental pollution
Online Access:http://irep.iium.edu.my/109837/7/109837_Assessing%20reaeration%20rate%20equations.pdf
http://irep.iium.edu.my/109837/
https://www.akademisains.gov.my/asmsj/?mdocs-file=7753
https://doi.org/10.32802/asmscj.2023.1193
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spelling my.iium.irep.1098372024-01-09T08:42:43Z http://irep.iium.edu.my/109837/ Assessing reaeration rate equations for modelling dissolved oxygen of Pusu river in Malaysia Mamun, Abdullah Al Nuruzzaman, M. Salleh, M.N. TD172 Environmental pollution Many authors reported high variability in the prediction of reaeration rates by various equations, leading to uncertainty in the estimation of the reaeration rate for a river. Due to this uncertainty, it is essential to identify a suitable equation to predict the dissolved oxygen (DO) concentration of the river in concern. Pusu River in Malaysia receives sewage discharges and suffers from land-clearing activities and stormwater-related pollution. Pusu River is a small river, but highly important in terms of demography and geographic location. As such, it is required to identify a suitable reaeration rate equation for predicting its DO concentration, which indicates the overall health of a river. The purpose of this study is to assess the suitability of reaeration rate equations to predict Dissolved Oxygen (DO) concentrations of the Pusu River. The water quality analysis simulation program (WASP) model was employed to model the DO of the Pusu River. Reaeration rates calculated from the available 31 equations were given input in the model, and errors in prediction were calculated in terms of Root Mean Square (RMS) error and R2 for every equation. It was revealed that Neguluscu and Rojanski (1969) equation using depth and velocity as the variables performed best among all the equations. It produced a minimum RMS error of 0.17 and 0.09 mg/L in calibration and validation data, respectively. R2 values for predicted-observed plots were 0.98 and 0.97 in these two data sets using the equation. Based on overall Performance Indicator Values (PIVs), reaeration rate equations with depth and velocity as the variables performed better than the other equations with more variables for Pusu River. This study provided important information to accurately model the DO of the Pusu River for future simulation of different scenarios Akademi Sains Malaysia 2023-12-29 Article PeerReviewed application/pdf en http://irep.iium.edu.my/109837/7/109837_Assessing%20reaeration%20rate%20equations.pdf Mamun, Abdullah Al and Nuruzzaman, M. and Salleh, M.N. (2023) Assessing reaeration rate equations for modelling dissolved oxygen of Pusu river in Malaysia. ASM Science Journal, 18. pp. 1-14. ISSN 1823-6782 E-ISSN 2682-8901 https://www.akademisains.gov.my/asmsj/?mdocs-file=7753 https://doi.org/10.32802/asmscj.2023.1193
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TD172 Environmental pollution
spellingShingle TD172 Environmental pollution
Mamun, Abdullah Al
Nuruzzaman, M.
Salleh, M.N.
Assessing reaeration rate equations for modelling dissolved oxygen of Pusu river in Malaysia
description Many authors reported high variability in the prediction of reaeration rates by various equations, leading to uncertainty in the estimation of the reaeration rate for a river. Due to this uncertainty, it is essential to identify a suitable equation to predict the dissolved oxygen (DO) concentration of the river in concern. Pusu River in Malaysia receives sewage discharges and suffers from land-clearing activities and stormwater-related pollution. Pusu River is a small river, but highly important in terms of demography and geographic location. As such, it is required to identify a suitable reaeration rate equation for predicting its DO concentration, which indicates the overall health of a river. The purpose of this study is to assess the suitability of reaeration rate equations to predict Dissolved Oxygen (DO) concentrations of the Pusu River. The water quality analysis simulation program (WASP) model was employed to model the DO of the Pusu River. Reaeration rates calculated from the available 31 equations were given input in the model, and errors in prediction were calculated in terms of Root Mean Square (RMS) error and R2 for every equation. It was revealed that Neguluscu and Rojanski (1969) equation using depth and velocity as the variables performed best among all the equations. It produced a minimum RMS error of 0.17 and 0.09 mg/L in calibration and validation data, respectively. R2 values for predicted-observed plots were 0.98 and 0.97 in these two data sets using the equation. Based on overall Performance Indicator Values (PIVs), reaeration rate equations with depth and velocity as the variables performed better than the other equations with more variables for Pusu River. This study provided important information to accurately model the DO of the Pusu River for future simulation of different scenarios
format Article
author Mamun, Abdullah Al
Nuruzzaman, M.
Salleh, M.N.
author_facet Mamun, Abdullah Al
Nuruzzaman, M.
Salleh, M.N.
author_sort Mamun, Abdullah Al
title Assessing reaeration rate equations for modelling dissolved oxygen of Pusu river in Malaysia
title_short Assessing reaeration rate equations for modelling dissolved oxygen of Pusu river in Malaysia
title_full Assessing reaeration rate equations for modelling dissolved oxygen of Pusu river in Malaysia
title_fullStr Assessing reaeration rate equations for modelling dissolved oxygen of Pusu river in Malaysia
title_full_unstemmed Assessing reaeration rate equations for modelling dissolved oxygen of Pusu river in Malaysia
title_sort assessing reaeration rate equations for modelling dissolved oxygen of pusu river in malaysia
publisher Akademi Sains Malaysia
publishDate 2023
url http://irep.iium.edu.my/109837/7/109837_Assessing%20reaeration%20rate%20equations.pdf
http://irep.iium.edu.my/109837/
https://www.akademisains.gov.my/asmsj/?mdocs-file=7753
https://doi.org/10.32802/asmscj.2023.1193
_version_ 1789424037379702784
score 13.211869

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