scholarly journals Stability of a micro-tidal inlet using semi-numerical approach

2017 ◽  
Vol 8 (3) ◽  
pp. 113-125
Author(s):  
R Senthilkumar ◽  
K Murali ◽  
V Sundar
Keyword(s):  
East Coast ◽  
Wave Model ◽  
Numerical Approach ◽  
Wave Climate ◽  
Tidal Range ◽  
Tidal Inlets ◽  
Littoral Drift ◽  
East Coast Of India ◽  
Longshore Sediment Transport ◽  
The Stability

Tidal inlets get disconnected depending on the seasons due to the formation of sand bars near its mouth are termed as “seasonally open tidal inlets.” These inlets are usually small of width of about 100 m and occur in micro-tide (tidal range not exceeding 1 m). Since the east coast of India experiences a net littoral drift of up to about 0.8 Mm3/annum, which is one of the largest in magnitudes that needs to be considered in the analysis of modeling of the sand bar formation and the associated phenomena. Kondurpalem inlet situated along the South east coast of India is considered as a case study. A frequency domain wave model (STeady-state spectral WAVE) has been used to compute the nearshore wave climate. The wave-induced currents have been obtained, and the longshore sediment transport rate is obtained through empirical relations. The tidal prism is found from measured depth and tidal velocity by solving shallow water equations. The stability of the inlet is investigated by applying the criteria developed by Bruun (1986). The effect of a pair of training walls on maintaining the stability of the mouth is reassessed over the periods.

scholarly journals Nearshore Waves and Littoral Drift Along a Micro-Tidal Wave-Dominated Coast Having Comparable Wind-Sea and Swell Energy

2020 ◽  
Vol 8 (1) ◽  
pp. 55
Author(s):  
Jesbin George ◽  
V. Sanil Kumar ◽  
R. Gowthaman ◽  
Jai Singh
Keyword(s):  
Sediment Transport ◽  
Wave Model ◽  
Model Data ◽  
Wave Direction ◽  
Littoral Drift ◽  
Relative Contribution ◽  
Wave Parameters ◽  
Longshore Sediment Transport ◽  
Wind Sea ◽  
Small Change

The nearshore wave characteristics and variations in littoral drift (longshore sediment transport; LST) are estimated based on different approaches for four years along the Vengurla coast, with comparable wind-sea and swell energy assessed. The waverider buoy-measured data at 15 m water depth is utilized as the input wave parameters along with the reanalysis model data, and the numerical wave model Delft-3D is used for estimating the nearshore wave parameters. The relative contribution of wind-seas and swells on LST rates are specifically examined. The clear prevalence of west-southwest waves implies the prevalence of south to north longshore sediment transport with net transport varying from 0.19–0.37 × 105 m3/yr. LST is strongly dependent on the breaker angle and a small change in the wave direction substantially alters the LST, and hence reanalysis/model data with coarse resolutions produce large errors (~38%) in the LST estimate. The annual gross LST rate based on integral wave parameters is only 58% considering the wind-seas and swells separately, since the wind-sea energy is comparable to swell energy, and the direction of these two systems differs significantly.

Littoral drift by alongshore flow at Visakhapatnam – East Coast of India

2010 ◽  
Vol 4 (4) ◽  
pp. 317-327 ◽  
Author(s):  
J.K. Panigrahi ◽  
V. Sathish Kumar ◽  
J.K. Tripathy
Keyword(s):  
East Coast ◽  
Littoral Drift ◽  
East Coast Of India

scholarly journals Nearshore waves and longshore sediment transport along Rameshwaram Island off the east coast of India

2015 ◽  
Vol 7 (6) ◽  
pp. 939-950 ◽  
Author(s):  
Rajamanickam Gowthaman ◽  
V. Sanil Kumar ◽  
Gowdagere Siddaramaish Dwarakish ◽  
P.R. Shanas ◽  
Basanta Kumar Jena ◽  
...  
Keyword(s):  
Sediment Transport ◽  
East Coast ◽  
East Coast Of India ◽  
Longshore Sediment Transport ◽  
Nearshore Waves

scholarly journals COMPREHENSIVE MONITORING OF A BEACH RESTORATION PROJECT

1976 ◽  
Vol 1 (15) ◽  
pp. 86
Author(s):  
O.H. Shemdin ◽  
H.K. Brooks ◽  
Z. Ceylanli ◽  
S.L. Harrell
Keyword(s):  
East Coast ◽  
Wind Waves ◽  
Monitoring Program ◽  
Barrier Island ◽  
Beach Nourishment ◽  
Wave Climate ◽  
Littoral Drift ◽  
Restoration Project ◽  
Two Stages

This paper outlines the results obtained from monitoring the Beach Nourishment Project at Jupiter Island, Florida. Jupiter Island is a 16 mile long barrier island on the east coast of Florida. Five miles of the beach were nourished in two stages in 1973 and 1974. A total of 3.4 million cubic yards of sand were dredged from an offshore borrow area and placed on the beach. The monitoring program included: seasonal hydrographic surveys of beach and offshore profile to 3000 feet offshore; climatological monitoring of wind, waves, tides and currents over a oneyear period; tracer and dye studies; and sand sampling and coring at selected beach and offshore locations. The results indicate that beach restoration has a groin effect in the sense of producing favorable changes in littoral drift due to shore alignment changes. A net accretion updrift of the restored area occurs. The results demonstrate the importance of the offshore profile in accounting for the total sedimentary balance. Shoreline recession coupled by a build up in the offshore profile may reflect accretion rather than erosion. Finally, the results show that the littoral drift formula using the wave climate as input provides inadequate prediction estimates for erosion or deposition following construction of a beach restoration project.

Nearshore Wave Climate and Sediment Dynamics along South East Coast of India

2014 ◽  
Vol 43 (2) ◽  
pp. 415-427 ◽  
Author(s):  
Usha Natesan ◽  
P. R. Rajalakshmi ◽  
M. V. Ramana Murthy ◽  
Vincent A Ferrer
Keyword(s):  
East Coast ◽  
Wave Climate ◽  
Sediment Dynamics ◽  
East Coast Of India

Alongshore Sediment Transport Near Tidal Inlets of Chilika Lagoon; East Coast of India

2017 ◽  
Vol 40 (2-3) ◽  
pp. 187-203 ◽  
Author(s):  
Subhasis Pradhan ◽  
Sujit Kumar Mishra ◽  
Rakesh Baral ◽  
Rabindro Nath Samal ◽  
Pratap Kumar Mohanty
Keyword(s):  
Sediment Transport ◽  
East Coast ◽  
Chilika Lagoon ◽  
Tidal Inlets ◽  
East Coast Of India ◽  
Alongshore Sediment Transport

scholarly journals Classification of Tidal Inlets Along the Central East Coast of India

2015 ◽  
Vol 116 ◽  
pp. 922-931 ◽  
Author(s):  
N. Amaranatha Reddy ◽  
M. Vikas ◽  
Subba Rao ◽  
Jaya Kumar Seelam
Keyword(s):  
East Coast ◽  
Tidal Inlets ◽  
East Coast Of India

Sediment transport and shoreline shifts in response to climate change at the tidal inlets of Chilika, India

2018 ◽  
Vol 233 (1) ◽  
pp. 372-387 ◽  
Author(s):  
B Gopikrishna ◽  
MC Deo
Keyword(s):  
Climate Change ◽  
Sediment Transport ◽  
Climate Model ◽  
Regional Climate ◽  
Shoreline Change ◽  
Tidal Inlets ◽  
Littoral Drift ◽  
The Past ◽  
Longshore Sediment Transport ◽  
Other Information

The shoreline adjoining Chilika Lake, situated along India’s east coast, has multiple tidal inlets which connect the lake with Bay of Bengal. The shoreline behavior near such inlets is generally studied with the help of a suitable numerical model. Such models are run on the basis of historical data of waves and other information. However, the waves in future may show different strength and pattern than the past as a result of the climate change induced by global warming. It is thus necessary that the model input should correspond to future or projected data of wind and waves. In this work, we have used the wind information from a state-of-the-art regional climate model, CORDEX RegCM-4, of future 25 years in order to run a shoreline evolution model and have derived the longshore sediment transport rate as well as the shoreline change rate around Chilika inlets. These future values are compared with corresponding ones of the past 25 years. It is found that at the given location, mean wind might go up by 20%, and this could raise the mean significant wave height strongly by 32%. The direction and frequency of occurrence of waves would also change, and this in turn will cause an increase in the net littoral drift by 41% and net accumulated drift over the entire cross-shore width by 84%. Interestingly, the present site where accretion was prevalent in the past may see erosion in future at the rate of about 1 m per year.

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