Surface wave dynamics off Mumbai coast, north-eastern Arabian Sea

Kumar, V. Sanil; George, Jesbin; Dora, Udhaba; Naseef, Muhammed

doi:10.1007/s10236-018-1230-0

Cited by 13 publications

(2 citation statements)

References 19 publications

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“…These observations are consistent with the earlier studies along this coast (Yadhunath et al 2014). The intensity and direction of the sea swell and wind might be the factors that govern near-shore wave propagation (Kumar et al 2019). This proves that the near-shore region is so dynamic with all the physical parameters that inCuence each other to form a systematic circulation.…”

Section: Field Observationsmentioning

confidence: 91%

Investigation of near-shore processes along North Goa beaches: A study based on field observations and numerical modelling

et al. 2021

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The dynamic coastal environment comprising of near-shore zone and beach continuously undergoes substantial morphological changes due to man-made and natural processes. These processes are always mutually dependent and therefore understanding their physical mechanisms is complicated. In this study, an attempt has been made to understand the physical interactions between the waves, tides and currents in the near-shore regions of four major tourist beaches of Goa using Beld measurements and numerical modelling. The state-of-the-art instruments were deployed at 6 m water depth, for a fortnight at each beach for two seasons in 2018. In-situ depth data were collected along the 8 km stretch covering Baga to Sinquerim using a mechanised boat equipped with an Echo sounder and a differential global positioning system. A coupled Delft3D model was set up with the model domain created using in-situ bathymetry soundings, beach proBles' elevation and naval hydrographic chart data. Model simulations were performed for two seasons (Jan-Feb) for calibration and (Oct-Nov) for validation by forcing the FLOW and WAVE models with timevarying water levels obtained from the TOPEX/POSEIDON global tide model, wave parameters from European Centre for Medium-range Weather Forecasting data and the measured wind data. The model results were validated by comparing the significant wave height, current speed and water level with the insitu data. From these experiments, it has been observed that near-shore parameters change significantly with the season and are mutually interactive. Especially, the near-shore currents are varying according to the wave heights and water level variations (due to tides). The Delft3D model is capable of addressing the near-shore processes with a good level of accuracy. However, Bne-tuning the model parameters with more seasonal data would help in addressing several coastal processes for any future datasets and therefore could be utilised for investigating and forecasting near-shore processes.

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Section: Field Observationsmentioning

confidence: 91%

Investigation of near-shore processes along North Goa beaches: A study based on field observations and numerical modelling

et al. 2021

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“…The analysis of short-term wave climate on the Indian coast during operational/extreme wave conditions was analysed by many researchers with the help of in situ measured data, numerical models, etc. Based on the in situ measurements for a year, the surface wave dynamics of the Mumbai coast (north-eastern Arabian Sea) were analysed by Kumar et al (2019) wherein with the help of partitioning of the wave spectrum, the seasonal variation of dominance of seas and swell waves were studied. With the help of measured and modelled data, the spectral evolution during sea breeze, and tropical cyclones was studied by Nair et al (2021) wherein a Weather Research and Forecasting (WRF) model was used for the simulation of land-sea breeze wherein wind obtained from the ERA-5 database was used for the simulation of cyclonic waves.…”

Section: Graphical Abstract Introductionmentioning

confidence: 99%

Assessment of reliable wave climate at jetty on open coasts: role of 2D spatio-temporal spectrum

Basu,

Purohit,

Chavan

2024

Journal of Water and Climate Change

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The development of coastal roads and bridges is important to overcome traffic congestion in densely populated coastal cities like Mumbai. In the present study, the importance of assessment of wave conditions required for the extension of jetties to facilitate the transportation of bridge components to build the sea link bridge during non-monsoon season is envisaged so that zero downtime for operability at jetties is ascertained. Coupled hydrodynamic spectral wave model (Telemac-2D and TOMAWAC) used to hindcast waves reveals that the application of spatio-temporal varying 2D directional spectrum (from ERA-5) over the offshore boundary as a forcing function helps in propagation of realistic wave climate of Mahim Bay, Mumbai. Coupling of the TOMAWAC-ARTEMIS model is essential to obtain reliable wave conditions near the jetties (nearshore) for predominant directions. The study reveals that under existing conditions, downtime at proposed jetties will be for 30 days wherein Hs ≥ 0.3 m. As such to achieve zero downtime, the existing bund on the seaward side of jetties was extended optimally (70 m) so that smooth operability for the entire non-monsoon is achieved. Thus, application of spatio-temporal varying 2D spectrum in optimising the length of the guide bund has been found promising for speedy transportation of proposed bridge components. The study also reveals that there is an insignificant climatological impact on wave conditions.

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Numerical assessment of climatological trends for annual and seasonal wave characteristics during recent 41 years

2021

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Surface wave dynamics off Mumbai coast, north-eastern Arabian Sea

Cited by 13 publications

References 19 publications

Investigation of near-shore processes along North Goa beaches: A study based on field observations and numerical modelling

Investigation of near-shore processes along North Goa beaches: A study based on field observations and numerical modelling

Assessment of reliable wave climate at jetty on open coasts: role of 2D spatio-temporal spectrum

Numerical assessment of climatological trends for annual and seasonal wave characteristics during recent 41 years

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