Evaluation of spatio-temporal variability of ocean wave power resource around Sri Lanka
Harshinie Karunarathna,Pravin Maduwantha,Bahareh Kamranzad,Harsha Rathnasooriya,Kasun De Silva +4 more
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In this paper, the authors presented a detailed analysis of the spatio-temporal variability of wave power resource around Sri Lanka, using computationally simulated 25 years of wave data that represents the prevailing ocean climate in the region.About:
This article is published in Energy.The article was published on 2020-06-01 and is currently open access. It has received 17 citations till now. The article focuses on the topics: Wave power & Waves and shallow water.read more
Figures
Fig. 1: (a) Map of Sri Lanka and its location in the Indian Ocean; (b) Sea bed contours around Sri Lanka showing the narrow continental shelf with a steep slope. 
Figure 10 - A spatial map of average wave power distribution (averaged over the projected 25- year period between 1979 and 2003) for the entire coastline of Sri Lanka. 
Figure 6 – A selection of modelled wave spectral densities Sf (m2/Hz) against frequency f (Hz) in year 2000 at a model grid point (80°21'E, 5°54'N), located closest to the Galle wave buoy location. 
Table 1: Details of all data locations used for wave model validation 
Figure 13 (b) – Wave power distribution at the selected nearshore locations (PN-1 to PN-9) around the south-west to south-east coastline of Sri Lanka. ![Fig. 5: Comparison of modelled [at GMO, (5.93° N 80.23° E)] (green), ERA-Interim Reanalysis [at GE (6.0N, 80.250E) (yellow) and measured [at GM (5.93 N, 80.23E)] (red) waves. (a) wave height time series; (b) Monthly averaged significant wave height; and (c) Monthly averaged wave period (Tm02 for GM and GMO, mean period for GE). Monthly averaging is done taking the data for the period of 1989-1992.](/figures/fig-5-comparison-of-modelled-at-gmo-5-93deg-n-80-23deg-e-2y2o9yjs.png)
Fig. 5: Comparison of modelled [at GMO, (5.93° N 80.23° E)] (green), ERA-Interim Reanalysis [at GE (6.0N, 80.250E) (yellow) and measured [at GM (5.93 N, 80.23E)] (red) waves. (a) wave height time series; (b) Monthly averaged significant wave height; and (c) Monthly averaged wave period (Tm02 for GM and GMO, mean period for GE). Monthly averaging is done taking the data for the period of 1989-1992.
![Fig. 5: Comparison of modelled [at GMO, (5.93° N 80.23° E)] (green), ERA-Interim Reanalysis [at GE (6.0N, 80.250E) (yellow) and measured [at GM (5.93 N, 80.23E)] (red) waves. (a) wave height time series; (b) Monthly averaged significant wave height; and (c) Monthly averaged wave period (Tm02 for GM and GMO, mean period for GE). Monthly averaging is done taking the data for the period of 1989-1992.](/figures/fig-5-comparison-of-modelled-at-gmo-5-93deg-n-80-23deg-e-2y2o9yjs.webp)
Citations
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Journal ArticleDOI
Wave resource characterization at regional and nearshore scales for the U.S. Alaska coast based on a 32-year high-resolution hindcast
TL;DR: A wave resource characterization was performed for the southern coast of Alaska based on a 32-year hindcast covering the period from 1979 to 2010 as mentioned in this paper, which closely followed International Electrotechnical Commission (IEC) Technical Specifications.
Journal ArticleDOI
Sustainability of wave energy resources in the South China Sea based on five decades of changing climate
Bahareh Kamranzad,Pengzhi Lin +1 more
TL;DR: In this article, 55 years of simulated waves using SWAN were utilized to investigate the long-term change of the resources in the South China Sea as a new measure for locating suitable areas for wave energy extraction.
Journal ArticleDOI
High bycatch rates of manta and devil rays in the "small-scale" artisanal fisheries of Sri Lanka.
TL;DR: In this article, the authors report on mobulid fishery landings over nine years between 2011 and 2020 across 38 landing sites in Sri Lanka and find that catch rates have declined an order of magnitude for all species across the study period.
Journal ArticleDOI
Combining methodologies on the impact of inter and intra-annual variation of wave energy on selection of suitable location and technology
TL;DR: Based on 55 years' worth of high-resolution simulated wave data using numerical modeling off the southern coasts of China, intra-annual and decadal variations of the wave climate and wave energy were evaluated in this paper.
Journal ArticleDOI
Impacts of Global Climate Change on the Future Ocean Wave Power Potential: A Case Study from the Indian Ocean
Harshinie Karunarathna,Pravin Maduwantha,Bahareh Kamranzad,Harsha Rathnasooriya,Kasun De Silva +4 more
TL;DR: In this article, the impacts of global climate change on the future wave power potential, taking Sri Lanka as a case study from the northern Indian Ocean, were investigated, and the results revealed that there will be a 12-20% reduction in average available wave power along the south-west and south-east coasts of Sri Lanka in future.
References
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