Prediction of sedimentation and bank erosion due to the construction of Kahang Dam
River impoundments continue to cause changes to the hydrological regimes of its host river. Thus, assessment and development of tools for better understanding of the sediment dynamics and riverbank erosion downstream the dam will be of great benefit to researchers and policymakers. The present...
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my-uthm-ep.9162021-09-09T03:42:34Z Prediction of sedimentation and bank erosion due to the construction of Kahang Dam 2020-03 Nda, Muhammad GB1201 - 1598 Rivers. Stream measurements River impoundments continue to cause changes to the hydrological regimes of its host river. Thus, assessment and development of tools for better understanding of the sediment dynamics and riverbank erosion downstream the dam will be of great benefit to researchers and policymakers. The present research employs the use of field techniques and estimation models to improve the (i) prediction of suspended sediment concentration, (ii) monitoring riverbank erosion, and (iii) development of Riverbank Erosion Index (RbEI) for downstream Kahang Dam. This research used the Artificial Neural Network (ANN) and ANN with Autoregressive (AR) (NNETAR) in predicting suspended sediment concentration using sediment concentration, discharge and water level as inputs. Similarly, erosion pins were installed on four transects to monitor the riverbank for thirteen months. The results obtained for sediment concentration prediction clearly show that the R2 for NNETAR (0.885) have better value compared to ANN (0.695) even though the relationship between discharge and sediment concentration was weak, it outperforms the ANN. While based on the sediment rating curve (SRC) results, the same pattern was exhibited where the R2 for NNETAR show a greater value than ANN and SRC with R2 values of 0.695 and 0.451, respectively. Based on the observed results of quantified riverbank erosion, the most active transect eroded 1.747 mm/yr- while 0.657 mm/yr- is the least eroded. furthermore, the result reveals the maximum and minimum sediment contribution to the fluvial system from riverbank eroded to be 0.00743 tonnes/yr and 0.00148 tonnes/yr respectively. Lastly, by using discharge and percentage soil composition (sand and clay), a RbEI was developed by the adopted Equation 4.7 to estimate the status of riverbank erosion of River Kahang. Moreover, five classifications of erosion status were proposed, which can be used to describe the status and severity of the riverbank erosion. In conclusion, the estimates by the RbEI is expected to serve as basis for analysing and adopting river stabilisation and restoration design, which will be of importance to dam operators in making informed decisions regarding early warnings on the riverbank stability. Also, reliable sediment concentration estimation will assist in the development of catchment sediment budget which will give an insight into the effect of situating a dam on a river in terms of sediment supply and riverbank erosion 2020-03 Thesis http://eprints.uthm.edu.my/916/ http://eprints.uthm.edu.my/916/1/24p%20MUHAMMAD%20NDA.pdf text en public http://eprints.uthm.edu.my/916/3/MUHAMMAD%20NDA%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/916/2/MUHAMMAD%20NDA%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Awam dan Alam Bina |
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Universiti Tun Hussein Onn Malaysia |
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UTHM Institutional Repository |
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English English English |
| topic |
GB1201 - 1598 Rivers Stream measurements |
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GB1201 - 1598 Rivers Stream measurements Nda, Muhammad Prediction of sedimentation and bank erosion due to the construction of Kahang Dam |
| description |
River impoundments continue to cause changes to the hydrological regimes of its host river. Thus,
assessment and development of tools for better understanding of the sediment dynamics and
riverbank erosion downstream the dam will be of great benefit to researchers and policymakers.
The present research employs the use of field techniques and estimation models to improve the (i)
prediction of suspended sediment concentration, (ii) monitoring riverbank erosion, and (iii)
development of Riverbank Erosion Index (RbEI) for downstream Kahang Dam. This research used
the Artificial Neural Network (ANN) and ANN with Autoregressive (AR) (NNETAR) in
predicting suspended sediment concentration using sediment concentration, discharge and water
level as inputs. Similarly, erosion pins were installed on four transects to monitor the riverbank
for thirteen months. The results obtained for sediment concentration prediction clearly show that
the R2 for NNETAR (0.885) have better value compared to ANN (0.695) even though the
relationship between discharge and sediment concentration was weak, it outperforms the ANN.
While based on the sediment rating curve (SRC) results, the same pattern was exhibited where the
R2 for NNETAR show a greater value than ANN and SRC with R2 values of 0.695 and 0.451,
respectively. Based on the observed results of quantified riverbank erosion, the most active
transect eroded 1.747 mm/yr- while 0.657 mm/yr- is the least eroded. furthermore, the result
reveals the maximum and minimum sediment contribution to the fluvial system from riverbank
eroded to be 0.00743 tonnes/yr and 0.00148 tonnes/yr respectively. Lastly, by using discharge and
percentage soil composition (sand and clay), a RbEI was developed by the adopted Equation 4.7
to estimate the status of riverbank erosion of River Kahang. Moreover, five classifications of
erosion status were proposed, which can be used to describe the status and severity of the riverbank
erosion. In conclusion, the estimates by the RbEI is expected to serve as basis for analysing and
adopting river stabilisation and restoration design, which will be of importance to dam operators
in making informed decisions regarding early warnings on the riverbank stability. Also, reliable
sediment concentration estimation will assist in the development of catchment sediment budget
which will give an insight into the effect of situating a dam on a river in terms of sediment supply
and riverbank erosion |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Nda, Muhammad |
| author_facet |
Nda, Muhammad |
| author_sort |
Nda, Muhammad |
| title |
Prediction of sedimentation and bank erosion due to the construction of Kahang Dam |
| title_short |
Prediction of sedimentation and bank erosion due to the construction of Kahang Dam |
| title_full |
Prediction of sedimentation and bank erosion due to the construction of Kahang Dam |
| title_fullStr |
Prediction of sedimentation and bank erosion due to the construction of Kahang Dam |
| title_full_unstemmed |
Prediction of sedimentation and bank erosion due to the construction of Kahang Dam |
| title_sort |
prediction of sedimentation and bank erosion due to the construction of kahang dam |
| granting_institution |
Universiti Tun Hussein Onn Malaysia |
| granting_department |
Fakulti Kejuruteraan Awam dan Alam Bina |
| publishDate |
2020 |
| url |
http://eprints.uthm.edu.my/916/1/24p%20MUHAMMAD%20NDA.pdf http://eprints.uthm.edu.my/916/3/MUHAMMAD%20NDA%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/916/2/MUHAMMAD%20NDA%20WATERMARK.pdf |
| _version_ |
1747830713101582336 |