scholarly journals Uncertainty in estuarine extreme water level predictions due to surge-tide interaction

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0206200 ◽  
Author(s):  
Charlotte Lyddon ◽  
Jenny M. Brown ◽  
Nicoletta Leonardi ◽  
Andrew J. Plater
Author(s):  
Dongxiao Yin ◽  
David F. Muñoz ◽  
Roham Bakhtyar ◽  
Z. George Xue ◽  
Hamed Moftakhari ◽  
...  

2013 ◽  
Vol 81 ◽  
pp. 51-66 ◽  
Author(s):  
A. Arns ◽  
T. Wahl ◽  
I.D. Haigh ◽  
J. Jensen ◽  
C. Pattiaratchi

2014 ◽  
Vol 989-994 ◽  
pp. 2288-2291 ◽  
Author(s):  
Yong Qiang Zhang ◽  
Qian Lan Leng ◽  
Ze Jian Hu ◽  
Zi Chen Zhu ◽  
Wan Jun Zhang ◽  
...  

In this paper, a numerical model of the coupling between astronomical tide and storm surge based on hydraulic model for estuary and coast (ECOM) is confirmed to be suitable for simulation of stormsurge in the Bohai Sea. The spatial distribution of extreme water level and storm current field caused by typhoons in October 2003 are simulated.It shows that extreme water level in deep water are smaller than shallow water and the spatial distribution of extreme water level is influenced by topography.Flow filed in Bohai Sea waters takes on an fluctuation in flow field, compensatory flow and other obvious features during storm surge, compared storm surge with astronomical tide, which is a significant difference in flow filed.


2012 ◽  
Vol 1 (33) ◽  
pp. 53
Author(s):  
Leigh MacPherson ◽  
Ivan David Haigh ◽  
Matthew Mason ◽  
Sarath Wijeratne ◽  
Charitha Pattiaratchi ◽  
...  

The potential impacts of extreme water level events on our coasts are increasing as populations grow and sea levels rise. To better prepare for the future, coastal engineers and managers need accurate estimates of average exceedance probabilities for extreme water levels. In this paper, we estimate present day probabilities of extreme water levels around the entire coastline of Australia. Tides and storm surges generated by extra-tropical storms were included by creating a 61-year (1949-2009) hindcast of water levels using a high resolution depth averaged hydrodynamic model driven with meteorological data from a global reanalysis. Tropical cyclone-induced surges were included through numerical modelling of a database of synthetic tropical cyclones equivalent to 10,000 years of cyclone activity around Australia. Predicted water level data was analysed using extreme value theory to construct return period curves for both the water level hindcast and synthetic tropical cyclone modelling. These return period curves were then combined by taking the highest water level at each return period.


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