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Tamil Research Institute RAPID TECHNO-ECONOMIC FEASIBILITY REPORT FOR DEVELOPMENT OF COLACHEL PORT AT TAMILNADU FINAL REPORT The tidal levels are shown in the table below: HAT: Highest Astronomical Tide. The elevation of the highest predicted astronomical tide expected to occur. at 1.05 least once a year HHWS Highest High Water Spring 1.04 MHHW Mean Higher High water. The mean of the higher of the two daily high waters over a long period of 0.83 time. When only one high water occurs on a day, this is taken as a higher high water . MLHW Mean Lower High Water. The mean of the lower of two daily high waters over a long period of time. 0.67 When only one high water occurs on a day, no value is printed in the MLHW column, indicating that the tide is diurnal . MHLW Mean Higher Low Water. The mean of the higher of the two daily low waters over a long period of 0.41 time. When only one low water occurs on a day, no value is printed in the MHLW column, indicating that the tide is diurnal . MLLW Mean Lower Low Water. The mean of the lower of the daily low waters over a long period of time. When only one low water occurs a day, this is taken as the lower low water 0.25 LLWS Lowest Low Water Spring 0.02 LAT Lowest Astronomical Tide. All heights have been taken above the lowest astronomical tide 0.00 GT Great Diurnal Range The difference in height between mean higher high water (MHHW) and mean lower low water (MLLW). 0.58 4. TRANSFORMATION WAVE FROM DEEP WATER TO SHALLOW WATER Sea states are propagated using a wave propagation model (GUIH-SWAN) from deep water to shallow water areas in different points of interest. Firstly a maximum dissimilarity selection algorithm (MDA) has been applied in order to obtain a representative subset of sea states in deep water areas. The MDA has been selected 200 multivariate sea states uniformly distributed over data, covering the edges and sampling the variability of deep water climate. Secondly this subset has been propagated to shallow water. The propagation model, GUI_SWAN, consists in a numerical approximation of waves from deep water to shallow water near the coast in order to evaluate the variability of the wave climate. It is a GUI which facilitates pre-processing and postprocessing of the information needed to implement the SWAN model (Booij et al. 1999) (Simulating Waves Nearshore, Cicle III version 40.91). SWAN is a third-generation wave model, developed at Delft University of Technology that computes random, short-crested wind-generated waves in coastal regions and inland waters. This model can be CP1832-FR-AX-02-CP-WaveClimate-Ed1.docx AX02 - 11 www.tamilri.com
Tamil Research Institute RAPID TECHNO-ECONOMIC FEASIBILITY REPORT FOR DEVELOPMENT OF COLACHEL PORT AT TAMILNADU FINAL REPORT used in any geographical scale for all processes related to the generation of gravity waves by surface wind. Finally the reconstruction of time series of wave parameters near shore has been carried out by an interpolation technique based on radial basis functions (RBFs). The RBF technique has proves to be a powerful technique to reconstruct time series of sea state parameters being each sea state at deep water . Figure 4. Bathymetry and grids(General grid and Detail grid) A number of points of interest are located near the coast (P1,P2....P21). Figure 5. Points of interest CP1832-FR-AX-02-CP-WaveClimate-Ed1.docx AX02 - 12 www.tamilri.com
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