Revised Predictive Equations for Salt Intrusion Modelling in Estuaries
For one-dimensional salt intrusion models to be predictive, we need predictive equations to link model parameters to observable hydraulic and geometric variables. The one-dimensional model of Savenije (1993b) made use of predictive equations for the Van der Burgh coefficient K and the dispersion at...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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European Geosciences Union
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/9394/ http://umpir.ump.edu.my/id/eprint/9394/1/Revised%20predictive%20equations%20for%20salt%20intrusion%20modelling%20in%20estuaries.pdf |
| _version_ | 1848818480169615360 |
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| author | Gisen, J. I. A. Savenije, H. H. G. Nijzink, R. C. |
| author_facet | Gisen, J. I. A. Savenije, H. H. G. Nijzink, R. C. |
| author_sort | Gisen, J. I. A. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | For one-dimensional salt intrusion models to be predictive, we need predictive equations to link model parameters to observable hydraulic and geometric variables. The one-dimensional model of Savenije (1993b) made use of predictive equations for the Van der Burgh coefficient K
and the dispersion at the seaward boundary D0. Here we have
improved these equations by using an expanded database, including new previously un-surveyed estuaries. Furthermore,
we derived a revised predictive equation for the dispersion
at tidal average condition and with the boundary situated at the well identifiable inflection point where the estuary
changes from wave-dominated to tide-dominated geometry.
We used 89 salinity profiles in 30 estuaries (including seven recently studied estuaries in Malaysia), and empirically derived a range of equations using various combinations of dimensionless parameters. We split our data in two separated data sets: (1) with more reliable data for calibration, and (2) with less reliable data for validation. The dimensionless parameters that gave the best performance depended on the geometry, tidal strength, friction and the Richardson number. The limitation of the equations is that the friction is generally unknown. In order to overcome this problem, a coupling has been made with the analytical hydraulic model of Cai et al. (2012), which makes use of observed tidal damping and by which the friction can be determined. |
| first_indexed | 2025-11-15T01:38:20Z |
| format | Article |
| id | ump-9394 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:38:20Z |
| publishDate | 2015 |
| publisher | European Geosciences Union |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-93942018-05-21T01:44:30Z http://umpir.ump.edu.my/id/eprint/9394/ Revised Predictive Equations for Salt Intrusion Modelling in Estuaries Gisen, J. I. A. Savenije, H. H. G. Nijzink, R. C. TA Engineering (General). Civil engineering (General) TC Hydraulic engineering. Ocean engineering For one-dimensional salt intrusion models to be predictive, we need predictive equations to link model parameters to observable hydraulic and geometric variables. The one-dimensional model of Savenije (1993b) made use of predictive equations for the Van der Burgh coefficient K and the dispersion at the seaward boundary D0. Here we have improved these equations by using an expanded database, including new previously un-surveyed estuaries. Furthermore, we derived a revised predictive equation for the dispersion at tidal average condition and with the boundary situated at the well identifiable inflection point where the estuary changes from wave-dominated to tide-dominated geometry. We used 89 salinity profiles in 30 estuaries (including seven recently studied estuaries in Malaysia), and empirically derived a range of equations using various combinations of dimensionless parameters. We split our data in two separated data sets: (1) with more reliable data for calibration, and (2) with less reliable data for validation. The dimensionless parameters that gave the best performance depended on the geometry, tidal strength, friction and the Richardson number. The limitation of the equations is that the friction is generally unknown. In order to overcome this problem, a coupling has been made with the analytical hydraulic model of Cai et al. (2012), which makes use of observed tidal damping and by which the friction can be determined. European Geosciences Union 2015-06-18 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/9394/1/Revised%20predictive%20equations%20for%20salt%20intrusion%20modelling%20in%20estuaries.pdf Gisen, J. I. A. and Savenije, H. H. G. and Nijzink, R. C. (2015) Revised Predictive Equations for Salt Intrusion Modelling in Estuaries. Hydrology and Earth System Sciences, 19. pp. 2791-2830. ISSN 1027-5606. (Published) http://dx.doi.org/10.5194/hess-19-2791-2015 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TC Hydraulic engineering. Ocean engineering Gisen, J. I. A. Savenije, H. H. G. Nijzink, R. C. Revised Predictive Equations for Salt Intrusion Modelling in Estuaries |
| title | Revised Predictive Equations for Salt Intrusion Modelling in Estuaries |
| title_full | Revised Predictive Equations for Salt Intrusion Modelling in Estuaries |
| title_fullStr | Revised Predictive Equations for Salt Intrusion Modelling in Estuaries |
| title_full_unstemmed | Revised Predictive Equations for Salt Intrusion Modelling in Estuaries |
| title_short | Revised Predictive Equations for Salt Intrusion Modelling in Estuaries |
| title_sort | revised predictive equations for salt intrusion modelling in estuaries |
| topic | TA Engineering (General). Civil engineering (General) TC Hydraulic engineering. Ocean engineering |
| url | http://umpir.ump.edu.my/id/eprint/9394/ http://umpir.ump.edu.my/id/eprint/9394/ http://umpir.ump.edu.my/id/eprint/9394/1/Revised%20predictive%20equations%20for%20salt%20intrusion%20modelling%20in%20estuaries.pdf |