Refine your search
Collections
Co-Authors
Journals
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Avula, Aruna Kumar
- Simulated Wave Climate and Variability Over the North Indian Ocean
Abstract Views :236 |
PDF Views:77
Authors
Affiliations
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
Source
Current Science, Vol 118, No 11 (2020), Pagination: 1746-1752Abstract
The wave parameters and long-term statistics of wave height are important parameters required for coastal/ offshore engineering design and analysis. The 20-year wave simulation has been carried out using MIKE-21 spectral wave model developed by the Danish Hydraulic Institute. The model was forced with the wind data from ECMWF operational archive wind data from 1998 to 2017. The MIKE C-MAP bathymetry data for less than 250 m depth in the North Indian Ocean and ETOPO1 for above 250 m depth were utilized for model bathymetry. The wave measurements available at various depths in the North Indian Ocean were utilized to validate model result. Wave parameters extracted at 27 locations at an interval of 1 degree at 25 m water depth were used for showing monthly variability of significant wave height, average wave period and mean wave direction. The extreme value analysis of significant wave height was carried out using Weibull analysis for 2, 5, 20 and 50 years return period. The maximum wave height of 5.7 m near Odisha coast in 50 years return period was calculated from the extreme value analysis.Keywords
Extreme Value Analysis, Numerical Model, Wave Direction, Wave Height, Wave Period.References
- Chandramohan, P., Sanilkumar, V., Nayak, B. U. and Anand, N. M., Wave Atlas for the Indian Coast, National Institute of Oceanography, Goa, 1991.
- Chin, T. M., Milliff, R. F. and Large, W. G., Basin-scale highwave number sea surface wind fields from multi-resolution analysis of scatterometer data. J. Atmos. Ocean Technol., 1998, 15, 741–763.
- Sterl, A. and Caires, S., Climatology, variability and extrema of ocean waves – the web-based KNMI/ERA-40 wave atlas. Int. J. Climatol., 2005, 25(7), 963–997; doi:10.1029/joc.1175.
- Taebi, S., Golshani, A. and Chegini, V., An approach towards wave climate study in the Persian Gulf and the Gulf of Oman: simulation and validation. J. Mar. Eng., 2008, 4(7), 2008.
- Zhang, H. M., Reynolds, R. W. and Bates, J. J., Blended and gridded high resolution global sea surface wind speed and climatology from multiple satellites: 1987 – Present. In 2006 Annual Meeting, American Meteorological Society, Atlanta, GA, 29 January–2 February 2006.
- Barstow, S. et al., World waves: fusion of data from many sources in a user-friendly software package for timely calculation of wave statistics in global coastal waters. In 13th International Offshore and Polar Engineering Conference, ISOPE2003, Honolulu, Hawaii, USA, 2003.
- Young, I. R. and Holland, G. J., Atlas of the Oceans: Wind and Wave Climate, Pergamon, 1996.
- Vethamony, P., Rao, L. V. G., Rajkumar, Sarkar, A., Mohan, M. Sudheesh, K. and Karthikeyan, S. B., Wave climatology of the Indian Ocean derived from altimetry and wave model. In PORESEC Proceedings, Goa, India, 5–8 December 2000, vol. 1, pp. 301–304.
- Sivakholundu, K. M., Jossia, K. and Jena, B. K., Wave Atlas of the Indian Coast, ESSO-NIOT, ISBN:81-901338-4-5.
- MIKE 21 Spectral Wave Model User Guide, 2011.
- Shore Protection Measures along Indian Coast – Design to Implementation Based on Two Case Studies
Abstract Views :235 |
PDF Views:80
Authors
M. V. Ramana Murthy
1,
Vijaya Ravichandran
1,
Mullai Vendhan
1,
A. S. Kiran
1,
Satya Kiran Raju
1,
Aruna Kumar Avula
1,
Shyamala Varthini
1,
T. Abhishek
1
Affiliations
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
1 National Institute of Ocean Technology, Ministry of Earth Sciences, Chennai 600 100, IN
Source
Current Science, Vol 118, No 11 (2020), Pagination: 1768-1773Abstract
Coastal areas of the country are subjected to shoreline erosion due to natural and anthropogenic activities. Climate change-induced effects like sea level rise, extreme waves and increased storm activity exacerbate the erosion and causes the shoreline to retreat landwards. In India, mostly conventional concepts like sea walls and groins are used which protects the shoreline but cannot restore the lost beaches. This article discusses success stories of two novel concepts implemented for restoration of beach along the east coast of India – Kadalur Periyakuppam, a fishing village with gentle slope and Puducherry with steep slope protected by seawall.Keywords
Beach Restoration, Geo-Textile, Kadalur Village, Puducherry, Submerged Reef.References
- Durusoju, H. P. and Nandyala, D. K., Coastal erosion studies – a review. Int. J. Geosci., 2014, 5, 341–345.
- Natesan, U., Parthasarathy, A., Vishnunath, R., Edwin Jeba Kumar, G. and Vincent, A. F., Monitoring long term shoreline changes along Tamil Nadu, India using geospatial techniques. In International Conference on Water Resources, Coastal and Ocean Engineering, 2015, vol. 4, pp. 325–332.
- Kankara, R. S., Ramana Murthy, M. V. and Rajeevan, M., National assessment of shoreline changes along Indian Coast – A status report for 26 years 1990–2016, NCCR Publication, 2018.
- Sriganesh, J., Management of coastal erosion along Pondicherry Coast, India – EU Workshop III: Coastal Zone Management and Impacts on Society, 2014.
- Gummadi, A. K., Satya Kiran Raju, A. and Ramana Murthy, M. V., Estimation of nearshore wave climate along Pondicherry coast using numerical modelling, OSICON 2017, August 2017.
- Kiran, A. S., Vijaya, R. and Aruna, K. A., Design of an environmental friendly shore protection measure for Kadalur Periyakuppam, Tamil Nadu using hydrodynamic model studies. Indian J. Geo-Mar. Sci., 2014, 43(7), 1306–1310.
- Kiran, A. S., Prince, P. J., Vijaya, R. and Abhishek, T., Detached segmented submerged breakwater made of geosynthetic tubes for Kadalur Periyakuppam coast, Tamil Nadu: A sustainable shoreline management solution. Int. J. Earth Sci. Eng., 2016, 9, 2688–2694.