Granulometric analysis at Lampulo Fishing Port (LFP) substrate, Banda Aceh, Indonesia

Purnawan, Syahrul; Setiawan, Ichsan; Haridhi, Haekal A.; Irham, Muhammad

doi:10.1088/1755-1315/106/1/012070

Cited by 5 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, many research attempts have been made with physical and numerical models to investigate sediment transport in harbor basins for the purpose of mitigating sedimentation issues [2,6,[16][17][18][19][20][21][22][23][24][25]. Physical modeling methodologies strive to incorporate diverse influences for assessing and determining harbors' sedimentation quantities.…”

Section: Introductionmentioning

confidence: 99%

Harbor Sedimentation Management Using Numerical Modeling and Exploratory Data Analysis

Elnabwy,

Elbeltagi,

El Banna

et al. 2024

Advances in Civil Engineering

View full text Add to dashboard Cite

Sedimentation in the harbors’ basins is an environmental phenomenon that frequently disrupts safe shipping and necessitates costly dredging operations. The layout of harbors and the permeability of protective structures such as breakwaters influence sediment transport within harbor basins. Thus, through a multistep framework, this study investigates the sedimentation management issues for the Egyptian proposed Ezbet Elborg fishing harbor based on field measurements and a numerical morphodynamic coastal modeling system (CMS). First, field measurements were analyzed and evaluated for acquiring a full grasp of the research area’s bathymetry and hydrodynamics. Second, a two-dimensional (2D) numerical simulation CMS model was set up and calibrated against field measurements wherein the developed CMS model highly correlated with actual measurements by 97%. CMS results demonstrate that the predominant NNW wave with the formed longshore current on both the harbor’s sides affects sediment accumulation within the harbor’s basin. Third, 100 simulations for the proposed harbor including different structural modulation scenarios affecting the sedimentation issue were investigated via the calibrated CMS model. Finally, an exploratory data analysis (EDA) is performed via correlation matrix and ANOVA test for the CMS’s scenarios’ results to gain an in-depth view of the relation between the harbors’ layout and the structural characteristics with the sedimentation volumes. Results showed that breakwaters’ orientation affects sediment accumulation more than its length. Also, breakwater permeability and basin width are significantly affecting sediment accumulation. Ultimately, the current study makes a substantial contribution to integrated coastal structure management (ICSM) by helping coastal stakeholders to mitigate the negative impacts of the harbors’ sediment deposition aiming at sustaining both environmental and economic aspects.

show abstract

Section: Introductionmentioning

confidence: 99%

Harbor Sedimentation Management Using Numerical Modeling and Exploratory Data Analysis

Elnabwy,

Elbeltagi,

El Banna

et al. 2024

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…In this regard, coastal sedimentology plays an important role in documenting the depositional history of an aquatic environment [14], [23], [24]. A granulometric study of the Aceh coast has been carried out by several researchers [25], [26]. However, as an area bordering the Indian Ocean, the condition of the west coast of Aceh has a fairly large seasonal variation [27].…”

Section: Introductionmentioning

confidence: 99%

Grain size variation in the swash zone of Lhoong Beach, Aceh Besar

2022

View full text Add to dashboard Cite

The spatio-temporal texture characteristics are key parameters for understanding the dynamics of the sedimentary environment. This study was conducted to determine the sediment characteristics in swash zone of Lhoong Beach, Aceh Besar Regency. The analysis emphasizes the seasonal variation of sediment mean grain size (MGS) based on vertical stratification. Sediment samples were taken during November 2018, January 2019 and March 2019, from 3 stations. Samples from station 3 had the coarsest grain characteristics, where the highest MGS value at station 3 was recorded in the mid-layer (5-10 cm) in November. The grain size was found to vary with changing seasons and the depth of the sediment layer. Based on depth stratification, the highest standard deviation was obtained by the mid-layer (5-10 cm); while by period, the highest standard deviation of the MGS value was generated during November.

show abstract