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Sukanya Ramesh Babu

Bio: Sukanya Ramesh Babu is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Longshore drift & Shore. The author has co-authored 3 publications.

Papers
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Journal ArticleDOI
TL;DR: In this article, the authors investigated a shoreline stretch of about 6 km (protected by transitional groynes), north of Chennai Port by dividing it into three segments and assessed the rate of shoreline changes over a period of about 12 years across three different segments.
Abstract: Chennai Port (13.099872° N, 80.297407° E), located along the southeast coast of India, has been a hub for maritime trade since the fifteenth century. An artificial harbour was initially constructed in 1881 which underwent numerous expansions in the following years. The breakwaters of the harbour intercepted the heavy sediment-laden littoral drift along the coast, resulting in the formation of the world's second-longest urban beach south of the port, i.e. on its up-drift side. Meanwhile, the coast north of the port, i.e. the down-drift side, experienced intense erosion due to a lack of sediment supply and forces induced on the coast due to waves and currents. The shoreline change study in this paper investigates a shoreline stretch of about 6 km (protected by transitional groynes), north of Chennai Port by dividing it into three segments. The rate of shoreline changes over a period of about 12 years across three different segments was assessed using statistical parameters by employing remote sensing techniques complemented with geographical information system (GIS) and digital shoreline analysis system (DSAS) tool. It is inferred that the coast has witnessed accretion and sizable growth in beach width has been observed post the construction of groyne field.

3 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a protection measure for any stretch of a coastline when it experiences an erosion rate beyond a threshold value, and when the seasonal littoral drift changes fail to restore equilibrium.
Abstract: Any stretch of a coastline warrants protection measure when it experiences an erosion rate beyond a threshold value, and when the seasonal littoral drift changes fail to restore equilibrium. The ca...

1 citations


Cited by
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Journal ArticleDOI
08 Mar 2023-Eng
TL;DR: In this article , a review of the literature on a combination of both natural and artificial models using mangrove trees and polymer-based models' configurations and their efficiency in coastal flooding is presented.
Abstract: Any stretch of coastline requires protection when the rate of erosion exceeds a certain threshold and seasonal coastal drift fluctuations fail to restore balance. Coast erosion can be caused by natural, synthetic, or a combination of the two. Severe storm occurrences, onshore interventions liable for sedimentation, wave action on the coastlines, and rising sea levels caused by climate change are instances of natural factors. The protective methods used to counteract or prevent coastal flooding are categorized as hard and soft engineering techniques. This review paper is based on extensive reviews and analyses of scientific publications. In order to establish a foundation for the selection of appropriate adaptation measures for coastal protection, this research compiles literature on a combination of both natural and artificial models using mangrove trees and polymer-based models’ configurations and their efficiency in coastal flooding. Mangrove roots occur naturally and cannot be manipulated unlike artificial model configuration which can be structurally configured with different hydrodynamic properties. Artificial models may lack the real structural features and hydrodynamic resistance of the mangrove root it depicts, and this can reduce its real-life application and accuracy. Further research is required on the integration of hybrid configuration to fully optimize the functionality of mangrove trees for coastal protection.

3 citations

Journal ArticleDOI
TL;DR: In this paper , the authors analyzed the overall shoreline morphodynamics in response to the recent development of port and other related infrastructure for annual and decadal scale using two-dimensional (2D) shoreline changes along with detailed 3-D beach profile volumetric changes for different studied zones along the Gopalpur coast.

3 citations

Journal ArticleDOI
TL;DR: This research presented a new module for DSAS to detect uncertain data in shoreline change rate measurements using statistical methods: adjusted boxplot, Grubbs’ test, standard deviation tests, median test, modified Z-score test, and voting method.

1 citations

Journal ArticleDOI
TL;DR: In this article , a revetment structure is proposed to combat siltation within a trained micro-tidal inlet at Karaikal (10[Formula: see text]52]N; 79]N, 79]E), India is discussed.
Abstract: Tidal inlets are an ecologically sensitive and significant constituent of the coastal environment, where an opening along the shoreline permits the free exchange of fresh and seawater. Predominant longshore currents along the shore result in the formation of sandbars, spits and shoals. Frequent occurrence of such sediment depositions acts as barriers, preventing the ingress of tidal flow. Conventionally training walls are constructed at the inlet to prevent sandbar and spit formations. The volume of water exchanged at the inlet mouth and ebb tidal currents primarily govern the inlet dimensions and the rate of littoral transport, respectively. The case study of a trained micro-tidal inlet at Karaikal (10[Formula: see text]52[Formula: see text]N; 79[Formula: see text]E), India is discussed in this paper. A numerical model using the finite volume method is applied to estimate the siltation rate and distribution within the study domain, driven by tide-induced currents and riverine discharge. A revetment structure is proposed to combat siltation within the inlet to facilitate smooth navigation. The study highlights the notable changes in the presence and absence of the proposed revetment.