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...

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Main Authors:	Gisen, J. I. A., Savenije, H. H. G., Nijzink, R. C.
Format:	Article
Language:	English
Published:	European Geosciences Union 2015
Subjects:	TA Engineering (General). Civil engineering (General) TC Hydraulic engineering. Ocean engineering
Online Access:	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

id	ump-9394
recordtype	eprints
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 http://dx.doi.org/10.5194/hess-19-2791-2015
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) TC Hydraulic engineering. Ocean engineering
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
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.
format	Article
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.
title	Revised Predictive Equations for Salt Intrusion Modelling in Estuaries
title_short	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_sort	revised predictive equations for salt intrusion modelling in estuaries
publisher	European Geosciences Union
publishDate	2015
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
first_indexed	2023-09-18T22:07:55Z
last_indexed	2023-09-18T22:07:55Z
_version_	1777414833141972992

Revised Predictive Equations for Salt Intrusion Modelling in Estuaries

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