scholarly journals Study on the effects of wave-induced setup on coastal evolution of the Cua Dai beach, Hoi An

2021 ◽  
Vol 21 (3) ◽  
pp. 247-257
Author(s):  
Ngoc The Nguyen ◽  
Thanh Tung Tran ◽  
Trung Viet Nguyen
Keyword(s):  
Coastal Dunes ◽  
Weather Conditions ◽  
Beach Erosion ◽  
Storm Event ◽  
Coastal Evolution ◽  
Level Data ◽  
Water Level Data ◽  
Set Up ◽  
Wave Induced ◽  
Hydrodynamic Factors

Over the past years, there have been several studies on the hydrodynamic regime, beach erosion, and accretion at the Cua Dai beach in Hoi An city. However, there is still a lack of in-depth research on the effects of hydrodynamic factors on beach evolution in extreme weather conditions such as a storm event or during the Northeast monsoons, characterized by large waves mainly, especially. The wave set-up directly impacts on the evolution of upper beaches and coastal dunes, consequently causing beach erosion. This paper presents the results of nearshore wave propagation and transformation and the distribution of wave set-up during storms in the coastal area of Cua Dai, Hoi An, using the SWAN model and the XBEACH model. The models have been calibrated and validated using measured wave and water level data observed in the study area in October 2016. The simulation results have shown the overall picture of the influence of wave set-up on the morphology evolution of beach profiles in the study area.

scholarly journals Research on wave set-up during storms along the coast of Cua Dai, Hoi An

2019 ◽  
Vol 19 (3) ◽  
pp. 337-347
Author(s):  
Nguyen Nguyen Ngoc The The ◽  
Duong Cong Dien ◽  
Tran Thanh Tung
Keyword(s):  
Water Level ◽  
Research Output ◽  
Storm Surges ◽  
Data Series ◽  
Storm Event ◽  
Level Data ◽  
Study Results ◽  
Planning Development ◽  
Coast Of Vietnam ◽  
Set Up

The central coast of Vietnam is frequently prone to storms and floods. Aside from wind damages during storms, the effect of storm surges, which includes wave set-up, on the coast and coastal infrastructures is very severe. Therefore calculation and prediction of wave set-up and storm surges are significant, both scientifically and practically, to serve as scientific bases for sustainable coastal planning, development and protection. This paper presents the study results on nearshore wave propagation and transformation, as well as the distribution of wave set-up during storms in the coastal area of Cua Dai, Hoi An, using SWAN and SWASH models. The models are thoroughly tested against wave and water level data series collected during a campaign in the project framework. The simulation results show the overall picture of the nearshore wave field and the surge height induced by waves during a storm event along Cua Dai, Hoi An coast. The research output also indicates that wave set-up contributes an important part to the extreme water level of the local nearshore area during storms.

scholarly journals Compaction parameter estimation using surface movement data in Southern Flevoland

2015 ◽  
Vol 372 ◽  
pp. 183-187 ◽  
Author(s):  
P. A. Fokker ◽  
J. Gunnink ◽  
G. de Lange ◽  
O. Leeuwenburgh ◽  
E. F. van der Veer
Keyword(s):  
Parameter Estimation ◽  
Water Level ◽  
Forward Models ◽  
Integrated Method ◽  
Movement Data ◽  
Multiple Data ◽  
Level Data ◽  
Water Level Data ◽  
Set Up ◽  
Bjerrum Model

Abstract. The Southern part of the Flevopolder has shown considerable subsidence since its reclamation in 1967. We have set up an integrated method to use subsidence data, water level data and forward models for compaction, oxidation and the resulting subsidence to estimate the driving parameters. Our procedure, an Ensemble Smoother with Multiple Data Assimilation, is very fast and gives insight into the variability of the estimated parameters and the correlations between them. We used two forward models: the Koppejan model and the Bjerrum model. In first instance, the Bjerrum model seems to perform better than the Koppejan model. This must, however, be corroborated with more elaborate parameter estimation exercises in which in particular the water level development is taken into account.

Separation of Wave Setup from Water Level Data of SandyDuck ’97 Experiment

2012 ◽  
Vol 256-259 ◽  
pp. 1942-1945
Author(s):  
Shi Chao Liu ◽  
Li Huang
Keyword(s):  
Water Level ◽  
Observation Data ◽  
Residual Water ◽  
Total Water ◽  
Level Data ◽  
Water Level Data ◽  
Tide Level ◽  
Data Separation ◽  
Wave Induced ◽  
Total Water Level

The observation wave induced setup can be separated from observed total water level which combines tide level, weather induced setup and wave induced setup. SandyDuck ’97 experiment provides lots of observation data. Separation of tide level form preliminary data is using the nearest tide station’s predicted tide. The weather induced setup is given by numerical model which includes the effects of air pressure and wind blows. The residual water level, wave induced setup, seems reasonable and available, and the time series trend match with wave high trend at same location.

EPIGONE: the argus on the daily operation of throttle structures

2013 ◽  
Vol 8 (3-4) ◽  
pp. 382-389 ◽  
Author(s):  
G. Dirckx ◽  
T. Wambecq ◽  
A. Qvick ◽  
M. Weemaes
Keyword(s):  
Water Level ◽  
Large Scale ◽  
Warning System ◽  
Cost Effective ◽  
Weather Conditions ◽  
Radar Data ◽  
Text Messages ◽  
Central Controller ◽  
Level Data ◽  
Set Up

This study presents the development of an Early Warning System (EWS) called EPIGONE focusing on the detection of dry weather overflows in the vicinity of throttle structures in sewer systems. Throttle structures are considered as vital parts of a sewer system as they are control sections limiting flow rates to a designed operational value. Because these structures are by definition prone to potential clogging or blockages, a close follow-up of the daily operation by an EWS facilitates increased vigilance or even alarm. Primary goal of EPIGONE is to alert operators and thus allow fast intervention in case of suspected failures of these structures within a settled timeframe. EPIGONE combines overflow water level measurements with rainfall radar information to determine Combined Sewer Overflow (CSO) activity during dry weather as this dual condition will indicate malfunctioning. This combination of measurements was found to be the most cost effective set-up to deploy on a large scale. Water level data are recorded and logged on-site and sent to a central controller via GSM/GPRS, where an algorithm determines dry weather overflow conditions. Rainfall radar data are used as criterion to decide on dry weather conditions. From there on alarms are sent out to multiple recipients via e-mail and/or text messages (SMS). Next to this, it is obvious that this system can also be used for ‘regular’ wet weather CSO monitoring.

COMPARING VALIDATION RESULTS OF 1D VERSUS 2D MATHEMATICAL MODEL FOR BUNA RIVER

2020 ◽  
Author(s):  
Elona Abazi ◽  
Sotiraq Pandazi ◽  
Miriam Ndini
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Statistical Tests ◽  
Water System ◽  
Absolute Error ◽  
River Bed ◽  
Level Data ◽  
Water Level Data ◽  
On Line ◽  
Set Up

Mathematical models are a valuable tool to study different water related problems. 1Dimensional and 2Dimensional mathematical models are widely used in river engineering studies. 1D and 2D mathematical models are set-up for Buna River using SOBEK software developed from Deltares Institute, the Netherlands. Buna River is part of the water system of Shkodra Lake, Drini and Buna River. This water system is the largest in Albania, and receives significant amounts of annual precipitation ranging from 1600 mm to 4000 mm. This water system discharges all its waters into the Adriatic Sea through Buna River bed, which has a total length of around 44 km. Around 1.5 km from flowing out of Shkodra Lake, Buna River joins Drini River, and then meanders in a low land area before discharging into the sea. Validation is a very important step in the process of building a mathematical model for a water system. Validation of 1D and 2D mathematical models for Buna River is done by using the hourly water level data from on-line stations for an event. The results of both models are evaluated based on graphical comparison and statistical tests such as: Root Mean Square Error, Mean Absolute Error, and Correlation Coefficient. The 1D mathematical model shows a better performance for the flow inside the river banks (bankfull discharge) due to a more accurate representation of the river bathymetry

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