Quantitative analysis of temporal variations on shoreline change pattern along Ganjam district, Odisha, east coast of India

Markose, Vipin Joseph; Rajan, B.; Kankara, R. S.; Selvan, S. Chenthamil; Dhanalakshmi, S.

doi:10.1007/s12665-016-5723-1

Cited by 22 publications

(6 citation statements)

References 49 publications

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“…The shoreline ideally coincides with the physical interface between the sea and land or the wet/dry line [48]. Meanwhile, in this study shoreline is identified with a proxy in the form of High-Water Level (HWL) which is the boundary between the water surface (specific at high tide) and the land.…”

Section: Shoreline Data Extractionmentioning

confidence: 93%

Beach slope distribution mapping using UAV in the Cirebon coastal area

Abdurrahman¹,

Pratyaksa²,

Suprijo

et al. 2021

E3S Web Conf.

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The beach slope is usually estimated using the conventional ground survey, causing the availability of this parameter data to be limited in some areas. Meanwhile, this parameter is considered crucial in the study of shoreline changes and coastal area protection as well as other coastal morphodynamic research. The aim of this study is to demonstrate an efficient technique to calculate the beach slope as well as its distribution in an area. In the daily intertidal period, the beach profile is assumed to be a static planar beach state which does not change due to the insignificant effect of erosion and accretion process. First, the shoreline data set was delineated from the tidal-varied orthomosaic using the UAV. The beach slope is then calculated by comparing the difference in tide level with the difference in the horizontal distance of shoreline points along a cross-shore transect at different times. The utilization of UAV allows mapping the shoreline in an area in several different tidal conditions, allowing the distribution of the beach slope also be mapped. This technique was then applied in the Cirebon Coastal Area and found an average beach slope of 0.105 with 0.100 being the slope class with the highest number of distributions. It was also found that due to the presence of mangroves and coastal structures, no slope conditions dominated this area. The result of beach slope calculation using this technique shows suitability with other studies and reveals UAVs’ potential in mapping the beach slope distribution more efficiently.

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Section: Shoreline Data Extractionmentioning

confidence: 93%

Beach slope distribution mapping using UAV in the Cirebon coastal area

Abdurrahman¹,

Pratyaksa²,

Suprijo

et al. 2021

E3S Web Conf.

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“…Coastal protection structures can result in coastline changes. The coastline is the boundary line between land and seawater where the position is not fixed and can move depending on the tides [3,4].…”

Section: Introductionmentioning

confidence: 99%

Simulation on coastline change impacted by a groyne as shore protection

Yuni,

Halfiani,

Maufiza

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The existence of groynes can affect the morphology of seashore. Groynes are structures that are mainly built to prevent erosion and enable sediment transport forming accretion on the shore. In the long term, erosion and sediment transport will cause a change in coastline. This paper aims to observe how the coastline will change due to the installment of a groyne on the shore. The coastline curves were simulated by using mathematical modeling. The coastline change equation which was derived from the continuity equation was solved by using the Laplace transform. The results indicate that erosion takes place on the downdrift side of the groyne while accretion takes place on the updrift side. The magnitudes of erosion and accretion increase over time. The increase rates was observed by applying variation to the value of the parameter such as breaking wave speed.

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“…Analysis of the satellite derived shoreline change analysis indicates about 24% of the world's sandy beaches are eroding (> -0.5 m/year), 28% are accreting (> 0.5 m/year), and 48% are stable (− 0.5 to 0.5 m/year) resulting for a profound knowledge about nearshore processes to mitigate coastal erosion (Luijendijk et al 2018). Shorelines are highly dynamic due to complex hydrodynamic processes (wave, tide, and sea level rise), meteorological-geophysical events (cyclones, wind, rainfall, earthquake, tsunami), natural processes (littoral drift, sediment and water discharge), and anthropogenic activities (coastal protection structures and urbanization) (Mishra et al 2019;Markose et al 2016). Beach is the most dynamic zone due to the nearshore processes like reflection, refraction, bottom friction, shoaling and breaking of waves (Jesbin et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Implication of shoreline and nearshore morphological changes on sediment budget of wave-dominated Chennai beach, India

Shetty

Kankara²,

Dhanalakshmi³

et al. 2022

Environ Earth Sci

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The study examines the shoreline and nearshore morphological changes (seasonal) to understand the littoral drift and sediment budget variability. Shoreline change rate depicts erosion (-0.06 m/yr) in the northern sector and accretion (+0.12 m/yr) in the southern sector. Seasonal nearshore morphological changes from nonmonsoon to monsoon period signifies net erosion (-1.8x10 4 m 3 ) in northern sector and net accretion (+2.5x10 4 m 3 ) in the southern sector. Although the lost sediment during monsoon is regained in non-monsoon period, the quantity of sediment gain is reduced in areas with human interventions. The results of the investigation depict the dominance of littoral drift towards north from February to October, when wave approach from east-southeast to south-southeast direction and southwards from November to January when the wave direction was from east-northeast to eastsoutheast. The net longshore sediment transport rate estimated during the study period was 2.6x10 5 m 3 /year in the northern sector and 1.5x10 5 m 3 /year in the southern sector with higher rate attributed to monsoon than the nonmonsoon. Sediment budget results in deciphering the causes of erosion (-1.27×10 4 m 3 /yr) in northern sector and accretion (3.91×10 4 m 3 /yr) in southern sector in the wave-dominated Chennai beach.

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Quantitative analysis of temporal variations on shoreline change pattern along Ganjam district, Odisha, east coast of India

Cited by 22 publications

References 49 publications

Beach slope distribution mapping using UAV in the Cirebon coastal area

Beach slope distribution mapping using UAV in the Cirebon coastal area

Simulation on coastline change impacted by a groyne as shore protection

Implication of shoreline and nearshore morphological changes on sediment budget of wave-dominated Chennai beach, India

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