Estimating extreme water level probabilities: A comparison of the direct methods and recommendations for best practise

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

Extreme Water Level Simulation and Component Analysis in Delaware Estuary during Hurricane Isabel

2021 ◽  
Author(s):  
Dongxiao Yin ◽  
David F. Muñoz ◽  
Roham Bakhtyar ◽  
Z. George Xue ◽  
Hamed Moftakhari ◽  
...  
Keyword(s):  
Water Level ◽  
Component Analysis ◽  
Delaware Estuary ◽  
Extreme Water Level ◽  
Hurricane Isabel

Study of Storm Surge Numerical Simulation in the Bohai Sea

2014 ◽  
Vol 989-994 ◽  
pp. 2288-2291 ◽  
Author(s):  
Yong Qiang Zhang ◽  
Qian Lan Leng ◽  
Ze Jian Hu ◽  
Zi Chen Zhu ◽  
Wan Jun Zhang ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Spatial Distribution ◽  
Water Level ◽  
Storm Surge ◽  
Bohai Sea ◽  
Current Field ◽  
Extreme Water Level ◽  
The Bohai Sea ◽  
Astronomical Tide ◽  
Significant Difference

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.

scholarly journals EXTREME WATER LEVEL EXCEEDANCE PROBABILITIES AROUND AUSTRALIA

2012 ◽  
Vol 1 (33) ◽  
pp. 53
Author(s):  
Leigh MacPherson ◽  
Ivan David Haigh ◽  
Matthew Mason ◽  
Sarath Wijeratne ◽  
Charitha Pattiaratchi ◽  
...  
Keyword(s):  
Tropical Cyclone ◽  
Water Level ◽  
Return Period ◽  
Meteorological Data ◽  
Storm Surges ◽  
Value Theory ◽  
Water Levels ◽  
Sea Levels ◽  
Extreme Water Level ◽  
Extreme Water Levels

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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