A modified laboratory approach to determine reaeration rate for river water
It is reported that reaeration rates determined from laboratory investigation may not suit well in predicting reaeration rate of natural streams. Sampling method during reaeration experiment is a potential source of error in laboratory estimation of reaeration rate coefficient for river waters,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English English English |
| Published: |
Springer Berlin Heidelberg
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/59537/ http://irep.iium.edu.my/59537/ http://irep.iium.edu.my/59537/ http://irep.iium.edu.my/59537/1/Online%20version%20of%20Paper.pdf http://irep.iium.edu.my/59537/7/59537_A%20modified%20laboratory%20approach%20to%20determine%20reaeration_article.pdf http://irep.iium.edu.my/59537/8/59537_A%20modified%20laboratory%20approach%20to%20determine%20reaeration_scopus.pdf http://irep.iium.edu.my/59537/19/59537_A%20Modified%20Laboratory%20Approach%20to%20Determine%20Reaeration%20Rate%20for%20River%20Water_WOS.pdf |
| Summary: | It is reported that reaeration rates determined
from laboratory investigation may not suit well in predicting
reaeration rate of natural streams. Sampling method during
reaeration experiment is a potential source of error in
laboratory estimation of reaeration rate coefficient for river
waters, which has been addressed in this research. A modified
method based on sampling procedure in a flume was
adopted to develop a reaeration rate equation for Pusu River
in Malaysia,which is demographically a very important river.
An important feature including several culverts along the
course of the river was also considered to model dissolved
oxygen (DO) concentration.DOwas calibrated and validated
using water quality analysis simulation program (WASP)
considering appropriate kinetic rate coefficients for Pusu
River. Performance of the new reaeration rate equation and
other process equations in the calibration and validation data
was assessed in terms of root-mean-square error (RMSE),
mean error between observed and predicted data and R2
value. Study results revealed that the equation developed in
B Abdullah Al-Mamun
mamun@iium.edu.my
Md Nuruzzaman
suvo.ruet@gmail.com
http://waterzaman.weebly.com/
Md Noor Bin Salleh
mdnoor@iium.edu.my
1 Department of Civil Engineering, Rangpur Engineering
College, Rangpur 5403, Bangladesh
2 Department of Civil Engineering, Kulliyyah of Engineering,
International Islamic University Malaysia (IIUM), 53100
Kuala Lumpur, Malaysia
3 Bioenvironmental Engineering Research Center (BERC),
Kulliyyah of Engineering, International Islamic University
Malaysia (IIUM), 53100 Kuala Lumpur, Malaysia
this research considering the impact of culverts on reaeration
rate predicted DO in Pusu River with improved accuracy as
compared to the other equations. RMSEs were found to be
0.083 and 0.067 mg/L for calibration and validation data,
respectively. Mean errors of observed and model-predicted
data were 0.06 and 0.05 mg/L for calibration and validation,respectively. The R2 value was 0.99 in both cases. The study results facilitate accuracy in future studies on DO of Pusu River. |
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