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    Nondimensional methods to classify the tidal inlets along the Karnataka coastline, west coast of India
    (Springer, 2019) Amaranatha Reddy, N.; Mendi, V.; Seelam, J.K.; Rao, S.
    This classification of tidal inlets is essential to maintain the stability of the inlets as well as to study the changing patterns of tidal inlets in India. Tidal inlets around the world have been classified as either wave-dominated or tide-dominated or river-dominated, since the 1970s. Tidal inlet classification for 471 inlets along the coast of India was carried out by Vikas M et al., based on wave and tide information. But only 30 inlets were considered for river-based classification due to lack of discharge information. In order to consider the river-based classification, the river flood discharge was estimated using Synthetic Unit Hydrograph (SUH) methods for Karnataka coast. In this study, 29 tidal inlets along the coast of Karnataka are selected for the classification based on river discharge. The classification has been done in two aspects; without considering wave period (Formula Presented) where Qtide is peak tidal discharge, Qf is river discharge and H is wave height. The results obtained are validated with hydrological and geomorphological classifications and the dominant forces over the dynamics of the inlets are determined. © Springer Nature Singapore Pte Ltd. 2019.
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    Classification of tidal inlets along the central west coast of India
    (Elsevier Ltd, 2015) Mendi, M.; Reddy, N.A.; Rao, S.; Seelam, J.K.
    Tidal inlets along the Maharashtra coast on the central west coast of India were classified according to three methods available in the literature. Two classification methods viz., (i) Hydrodynamic classification (Hayes, 1979) and (ii) Classification based on dimensionless parameters (Vu, 2013) used for the classification are compared with the morphological classification of de Vriend et al., (1999). The hydrodynamic classification of Tidal inlets along Maharashtra coast is carried out considering mean annual significant wave height. The classification is also extended considering significant wave heights obtained for South-West monsoon, North-East monsoon and Fair Weather seasons. It has been observed that 74% of the inlets are tide dominated as per morphological classification whereas considering annual mean wave heights in Vu (2013) method, 67% of the inlets are wave dominated. © 2015 The Authors. Published by Elsevier Ltd.
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    Classification of tidal inlets along the central east coast of India
    (Elsevier Ltd, 2015) Reddy, N.A.; Mendi, M.; Rao, S.; Seelam, J.K.
    Coastal inlets are the openings along the coastline that provide a linkage between the open ocean and the hinterland water bodies. These coastal inlets are varied in nature depending on many influencing parameters such as tide, wind, river flow and waves. Amongst these parameters, the tides are the most regular while waves and freshwater flow are more seasonal. The tidal inlets have to be examined and studied to understand the nearshore coastal processes. The inlet remains stable (i.e. open) as long as the alongshore sediment bypasses the tidal inlet. Classification of coastal systems in a broader view is necessary for the management of tidal inlets. There are several methods to classify tidal inlets based on different perspectives namely geo-morphological, hydrodynamic etc. In the present study, tidal inlet classification is carried out considering the hydrodynamics and morphodynamics along the Andhra Pradesh coast, considering the classification method as in Hayes (1984) and Thuy (2013). The Hayes (1984) classification considers only the tidal range and significant wave height, whereas Thuy (2013) considers discharge due to tide (∼Tidal prism/tide duration) and wave (∼√gH5). A total of 108 tidal inlets along Andhra Pradesh coast on the east coast of India are classified considering annual mean wave height (Hs) as well as seasonal wave heights. This paper presents the methods used and results of the coastal classification along the central east coast of India. © 2015 Published by Elsevier Ltd.