Evaluation of salt water intrusion in the Kuantan Estuary with the application of a 1-D analytical salt intrusion model integrating the predictive equations for dispersion and Van der Burgh’s coefficients
Salt water intrusion in the Kuantan Estuary has become crucial due to the extreme El-Nino event that occurred from the end of year 2015 to early 2016. This phenomena has caused water supply disruption in the area as the sea water has reached the water abstraction station at Kobat. Conducting detaile...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2017
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/17653/ http://umpir.ump.edu.my/id/eprint/17653/1/Evaluation%20of%20salt%20water%20intrusion%20in%20the%20Kuantan%20Estuary%20with%20the%20application%20of%20a%201-D%20analytical%20salt%20intrusion%20model%20integrating%20the%20predictive%20equations%20for%20dispersion%20and%20Van%20der%20Burgh%E2%80%99s%20coefficients.pdf |
| id |
ump-17653 |
|---|---|
| recordtype |
eprints |
| spelling |
ump-176532018-07-16T07:22:42Z http://umpir.ump.edu.my/id/eprint/17653/ Evaluation of salt water intrusion in the Kuantan Estuary with the application of a 1-D analytical salt intrusion model integrating the predictive equations for dispersion and Van der Burgh’s coefficients Gisen, J. I. A. Ahmad Amirul Faiz, Ahmad Tajudin Wafty, Abdul Rahman TA Engineering (General). Civil engineering (General) Salt water intrusion in the Kuantan Estuary has become crucial due to the extreme El-Nino event that occurred from the end of year 2015 to early 2016. This phenomena has caused water supply disruption in the area as the sea water has reached the water abstraction station at Kobat. Conducting detailed salt intrusion study will require substantial field surveys and it is time consuming. Hence, this study adopted a predictive measure to simulate the longitudinal salinity distribution in the Kuantan Estuary using a 1-D analytical salt intrusion model integrated with an empirically derived predictive equations for the dispersion and Van Der Burgh coefficients. The performance of the predictive model was evaluated by comparing the calibrated salinity curve against the measured data obtained from the previous study in 1977. From the analysis, the result in Figure 1 indicates that the performance of the predictive model is nearly equivalent to the study in 1977 with the root-mean squared error of 1.59 ppt and 1.57 ppt, respectively. The Nash–Sutcliffe efficiency coefficients of 0.95 are obtained for both methods. However, for the salinity at 8000 m (from mouth) onwards, the predictive model shows a significantly high efficiency with the Nash–Sutcliffe efficiency coefficients of 0.99 compare to 0.92 from the previous study. The root-mean squared error is as low as 0.38 ppt. Hence, it is proven that the empirically derived predictive model is applicable in predicting the longitudinal salinity distribution in the Kuantan Estuary. 2017 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/17653/1/Evaluation%20of%20salt%20water%20intrusion%20in%20the%20Kuantan%20Estuary%20with%20the%20application%20of%20a%201-D%20analytical%20salt%20intrusion%20model%20integrating%20the%20predictive%20equations%20for%20dispersion%20and%20Van%20der%20Burgh%E2%80%99s%20coefficients.pdf Gisen, J. I. A. and Ahmad Amirul Faiz, Ahmad Tajudin and Wafty, Abdul Rahman (2017) Evaluation of salt water intrusion in the Kuantan Estuary with the application of a 1-D analytical salt intrusion model integrating the predictive equations for dispersion and Van der Burgh’s coefficients. In: The 2nd International Conference on Fluids and Chemical Engineering (FLUIDSCHE 2017), 4-6 April 2017 , Kota Kinabalu, Sabah, Malaysia. . (Unpublished) |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
TA Engineering (General). Civil engineering (General) |
| spellingShingle |
TA Engineering (General). Civil engineering (General) Gisen, J. I. A. Ahmad Amirul Faiz, Ahmad Tajudin Wafty, Abdul Rahman Evaluation of salt water intrusion in the Kuantan Estuary with the application of a 1-D analytical salt intrusion model integrating the predictive equations for dispersion and Van der Burgh’s coefficients |
| description |
Salt water intrusion in the Kuantan Estuary has become crucial due to the extreme El-Nino event that occurred from the end of year 2015 to early 2016. This phenomena has caused water supply disruption in the area as the sea water has reached the water abstraction station at Kobat. Conducting detailed salt intrusion study will require substantial field surveys and it is time consuming. Hence, this study adopted a predictive measure to simulate the longitudinal salinity distribution in the Kuantan Estuary using a 1-D analytical salt intrusion model integrated with an empirically derived predictive equations for the dispersion and Van Der Burgh coefficients. The performance of the predictive model was evaluated by comparing the calibrated salinity curve against the measured data obtained from the previous study in 1977. From the analysis, the result in Figure 1 indicates that the performance of the predictive model is nearly equivalent to the study in 1977 with the root-mean squared error of 1.59 ppt and 1.57 ppt, respectively. The Nash–Sutcliffe efficiency coefficients of 0.95 are obtained for both methods. However, for the salinity at 8000 m (from mouth) onwards, the predictive model shows a significantly high efficiency with the Nash–Sutcliffe efficiency coefficients of 0.99 compare to 0.92 from the previous study. The root-mean squared error is as low as 0.38 ppt. Hence, it is proven that the empirically
derived predictive model is applicable in predicting the longitudinal salinity distribution in the Kuantan Estuary. |
| format |
Conference or Workshop Item |
| author |
Gisen, J. I. A. Ahmad Amirul Faiz, Ahmad Tajudin Wafty, Abdul Rahman |
| author_facet |
Gisen, J. I. A. Ahmad Amirul Faiz, Ahmad Tajudin Wafty, Abdul Rahman |
| author_sort |
Gisen, J. I. A. |
| title |
Evaluation of salt water intrusion in the Kuantan Estuary with the application of a 1-D analytical salt intrusion model integrating the predictive equations for dispersion and Van der Burgh’s coefficients |
| title_short |
Evaluation of salt water intrusion in the Kuantan Estuary with the application of a 1-D analytical salt intrusion model integrating the predictive equations for dispersion and Van der Burgh’s coefficients |
| title_full |
Evaluation of salt water intrusion in the Kuantan Estuary with the application of a 1-D analytical salt intrusion model integrating the predictive equations for dispersion and Van der Burgh’s coefficients |
| title_fullStr |
Evaluation of salt water intrusion in the Kuantan Estuary with the application of a 1-D analytical salt intrusion model integrating the predictive equations for dispersion and Van der Burgh’s coefficients |
| title_full_unstemmed |
Evaluation of salt water intrusion in the Kuantan Estuary with the application of a 1-D analytical salt intrusion model integrating the predictive equations for dispersion and Van der Burgh’s coefficients |
| title_sort |
evaluation of salt water intrusion in the kuantan estuary with the application of a 1-d analytical salt intrusion model integrating the predictive equations for dispersion and van der burgh’s coefficients |
| publishDate |
2017 |
| url |
http://umpir.ump.edu.my/id/eprint/17653/ http://umpir.ump.edu.my/id/eprint/17653/1/Evaluation%20of%20salt%20water%20intrusion%20in%20the%20Kuantan%20Estuary%20with%20the%20application%20of%20a%201-D%20analytical%20salt%20intrusion%20model%20integrating%20the%20predictive%20equations%20for%20dispersion%20and%20Van%20der%20Burgh%E2%80%99s%20coefficients.pdf |
| first_indexed |
2023-09-18T22:24:31Z |
| last_indexed |
2023-09-18T22:24:31Z |
| _version_ |
1777415876854677504 |