Comparison of Design Wave Heights Determined on the Basis of Long- and Short-term Measurement Data

Szmytkiewicz, Marek; Szmytkiewicz, Piotr; Marcinkowski, Tomasz

doi:10.1515/heem-2018-0009

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…The design wave can be acquired using Gumbel and Weibull distributions. According to Szmytkiewicz et al (2018), these distributions are commonly used as they provide agreeable arguments and probability in extreme events. Therefore, the design wave was used as a downstream boundary along with HHWL to represent the coinciding event.…”

Section: Sea Levelmentioning

confidence: 99%

Coastal and River Embankment Performance at Cengkareng Drain Estuary Under Compound Hazards Conditions Using HEC-RAS 2D

Hastomo,

Anggraheni,

Prasetyo

et al. 2023

jcef

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Jakarta is prone to pluvial, fluvial, and coastal flooding due to its geographical location and topography. In response to this problem, the Indonesian government has implemented several master plans, including the National Capital Integrated Coastal Development (NCICD). This ongoing program encompasses the construction of coastal and river embankment that stretch all over the coast of Jakarta. Since many coastal areas in Jakarta are residential or industrial, evaluating this performance of embankment has become crucial for effective flood management. The findings of this research can also support the development of other locations where NCICD embankment plan and enhance coastal resilience. Therefore, this research assessed the effectiveness of coastal and river embankment at Cengkareng Drain, a vital floodway in Jakarta, during extreme events that occur simultaneously. To simulate flooding events, two-dimensional HEC-RAS features were used to numerically calculate the area and depth of inundation. The simulation required geometry, terrain, land cover, and unsteady flow data. For the flow boundary conditions, a 100-year design rainfall, HHWL (Highest High Water Level), and 100-year design wave were considered to represent estuary conditions accurately. The simulation result showed that the maximum water level influenced by these factors was +3.145 mMSL, while the planned embankment top elevation was +3.40 mMSL. Furthermore, without the NCICD embankment, the simulation showed an inundation area of 1212.37 ha, which was reduced to 1111.22 ha after their implementation, leading to a decrease of 101.15 ha. This reduction significantly decreases potential damage to property and infrastructure, particularly in densely populated areas. The simulation also showed a reduction of 86.49 hectares or 66.22% in the inundation area with a depth exceeding 1 meter. These findings demonstrate the effectiveness of embankment in reducing the inundation area without any overtopping incidents.

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Section: Sea Levelmentioning

confidence: 99%

Coastal and River Embankment Performance at Cengkareng Drain Estuary Under Compound Hazards Conditions Using HEC-RAS 2D

Hastomo,

Anggraheni,

Prasetyo

et al. 2023

jcef

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show abstract

“…Nevertheless, in each case, before any of those methods could be reliably used, their robustness is nearly universally tested by their agreement with the same platforms [1][2][3][4][5]. A host of studies are naturally directly performed using buoy measurements [6][7][8][9], and thus, the fidelity and completeness of buoy measurements are of paramount importance as their data is extremely valuable. For small island developing states (SIDS) that possess neither the financial resources nor technical expertise to deploy and maintain large numbers of buoys, it is of even greater importance to fully use available buoy observations and to find methods to convert those observations into additional variables of interest.…”

Section: Introductionmentioning

confidence: 99%

Bidirectional Modeling of Surface Winds and Significant Wave Heights in the Caribbean Sea

Bethel

Zhou

Cao

2021

JMSE

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Though the ocean is sparsely populated by buoys that feature co-located instruments to measure surface winds and waves, their data is of vital importance. However, due to either minor instrumentation failure or maintenance, intermittency can be a problem for either variable. This paper attempts to mitigate the loss of valuable data from two opposite but equivalent perspectives: the conventional reconstruction of significant wave height (SWH) from Caribbean Sea buoy-observed surface wind speeds (WSP) and the inverse modeling of WSP from SWH using the long short-term memory (LSTM) network. In either direction, LSTM is strongly able to recreate either variable from its counterpart with the lowest correlation coefficient (r2) measured at 0.95, the highest root mean square error (RMSE) is 0.26 m/s for WSP, and 0.16 m for SWH. The highest mean absolute percentage errors (MAPE) for WSP and SWH are 1.22% and 5%, respectively. Additionally, in the event of complete instrument failure or the absence of a buoy in a specific area, the Simulating WAves Nearshore (SWAN) wave model is first validated and used to simulate mean and extreme SWH before, during, and after the passage of Hurricane Matthew (2016). Synthetic SWH is then fed to LSTM in a joint SWAN—LSTM model, and the corresponding WSP is reconstructed and compared with observations. Although the reconstruction is highly accurate (r2 > 0.9, RMSE < 1.3 m/s, MAPE < 0.8%), there remains great room for improvement in minimizing error and capturing high-frequency events.

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Comparison of Design Wave Heights Determined on the Basis of Long- and Short-term Measurement Data

Cited by 2 publications

References 6 publications

Coastal and River Embankment Performance at Cengkareng Drain Estuary Under Compound Hazards Conditions Using HEC-RAS 2D

Coastal and River Embankment Performance at Cengkareng Drain Estuary Under Compound Hazards Conditions Using HEC-RAS 2D

Bidirectional Modeling of Surface Winds and Significant Wave Heights in the Caribbean Sea

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