Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/25334
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dc.contributor.authorLatha, G-
dc.contributor.authorMahadevan, R.-
dc.date.accessioned2014-01-07T12:13:00Z-
dc.date.available2014-01-07T12:13:00Z-
dc.date.issued2000-06-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/25334-
dc.description89-95en_US
dc.description.abstractThis paper reports the sensitivity and predictive capability studies carried out on the finite element model for storm surge simulation along the east coast of India. In this model, an explicit finite element scheme with 9-noded Lagrangian quadratic isoparametric elements was used to discretize the study area and the governing equations. The integration of dependent variables over an element was performed using two-dimensional Simpson's rule, which leads to uncoupling of the system of equations and yields an explicit scheme for determining the flow parameters evolving with time. In the present work, the model has been benchmarked using an International software MIKE21. Sensitivity studies are carried out to evaluate the influence of the length of the ocean shelf and its depth at the coast in predicting the storm surges along the coast. The results show that the model is not sensitive to these parameters. Then the model is calibrated by simulating the storm surges induced by the 1977- Andhra cyclone, which is one of the severe cyclones in recent years along the east coast of India. The predictive capability of the calibrated model is assessed by simulating the surges for a few past cyclonic storms, which have crossed the east coast of India.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.29(2) [June 2000]en_US
dc.titleSensitivity and predictive capability studies on a finite element surge simulation modelen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.29(2) [June 2000]

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