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Please use this identifier to cite or link to this item: http://drs.nio.org/drs/handle/2264/4177

Title: Estimation of flushing time in a monsoonal estuary using observational and numerical approaches
Authors: Manoj, N.T.
Citation: Natural Hazards, vol.64; 2012; 1323-1339
Issue Date: 2012
Publisher: Springer
Abstract: Estimation of flushing time (T sub(F)) in an estuary is important for water quality analysis, and it is one of the major transport time scales used in estuaries to quantify the hydrodynamic processes and for water resources management strategies. T sub(F) in the Mandovi estuary (a monsoonal estuary) on the west coast of India was studied. Field observations of salinity (FOS) and a numerical model were used to describe the T sub(F) during the south-west monsoon (heavy river discharge), post-monsoon (moderate river discharge) and pre-monsoon (negligible river discharge). T sub(F) was calculated for 12 (months) river discharge scenarios (the calculation was done under monthly mean flow conditions). The T sub(F) calculated from FOS and numerical model showed good matches during the periods of heavy river discharge and moderate river discharge. The results from FOS (numerical model) showed that the T sub(F) was 1.12 (1.11) days for a river flow of 506.6 m sup(3) s sup(-1) (during the south-west monsoon), and the T sub(F) reached 251.28 (592.38) days under extreme low flow of 0.8 m sup(3) s sup(-1) (during the pre-monsoon). Regression equations fitted by power and exponential functions were derived from FOS and numerical model simulations to correlate T sub(F) with monthly mean river discharges. The power regression equation can be used for the rapid evaluation of the impact of drought (during the pre-monsoon) and flood (during the SW monsoon) scenarios in the estuary.
Document type: Journal Article
Copyright: An edited version of this paper was published by Springer. This paper is for R & D purpose and Copyright [2012] Springer.
URI: http://drs.nio.org/drs/handle/2264/4177
Appears in Collections:Physical Sciences

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