IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 33rd Congress - Vancouver (2009) : Topic E: Advances in Hydroinformatics for Integrated Watershed and Coast Management : Establishing sea level anomaly patterns using mutual information theory
Establishing sea level anomaly patterns using mutual information theory
Author : R. Rao and V. Babovic
The shallow waters and narrow straits around Singapore cater to one third the navigation traffic in the world. Hence, accurate prediction of water level and currents in the region is most important part of any maritime decision support system aiming optimal ship routing, port and coastal management. The main challenge is in understanding and predicting the non-tidal anomalies (sea level anomalies; SLAs and current anomalies) which are characteristics of such narrow straits. A data driven approach based on mutual information theory has been presented here as an investigation tool to unearth the underlying temporal and spatial patterns of SLA in the Singapore region. The analysis is based on the SLA time series data for 17 locations in the region. Average Mutual Information is used to compare the overall SLA signals of different stations. Specific significant SLA events are identified and analyzed for temporal correlations.
File Size : 364,866 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 33rd Congress - Vancouver (2009)
Article : Topic E: Advances in Hydroinformatics for Integrated Watershed and Coast Management
Date Published : 09/08/2009
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