4.6 Article

Coastal processes and longshore sediment transport along Kundapura coast, central west coast of India

Journal

GEOMORPHOLOGY
Volume 214, Issue -, Pages 436-451

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.geomorph.2014.02.027

Keywords

Longshore currents; Sediment transport; Nearshore waves; Nearshore processes; Littoral drift

Funding

  1. Integrated Coastal and Marine Area Management Project Directorate (ICMAM PD), Ministry of Earth Sciences, New Delhi
  2. Department of Science 82 Technology, New Delhi

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Longshore sediment transport (LST) is one of the main factors influencing coastal geomorphology. This study examines the variation in the LST estimate using four well known formulae and the sensitivity of wave parameters on LST determination. The study was done along the Kundapura coast, central west coast of India. The Delft3D-wave module was used for obtaining the nearshore wave characteristics from the wave data measured using Datawell directional wave rider buoy at 12 m water depth for a period of one year. Diurnal change and seasonal variation in LST were examined. The study shows that the net LST was toward north for most of the time (non-monsoon period) during the year when predominant wave direction was between SWS and SW, whereas the LST was toward south during the monsoon season when the wave direction was from the west. It was found that the influence of breaker height was more during the non-monsoon period whereas during the monsoon period, breaker angle shows more influence on LST. Estimated annual net LSTR for the region is 3.6, 3.0, 1.6, and 2.6 x 10(5) m(3) based on the CERC, Walton and Bruno, Kamphuis and Komar formulae. The LSTR estimate based on the Kamphuis formula, which also includes the wave period, beach slope, and sediment grain size, was found to be a reliable estimate for the study region. The variation in LSTR estimate considering different data intervals was also examined and found that the difference in monthly LSTR for data intervals of 6, 12 and 24 h with respect to the 3 h interval was up to 11, 13 and 24%. For better and more accurate estimates of LSTR, the data interval should be 3 h or less. (C) 2014 Elsevier B.V. All rights reserved.

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