Tidal channel distribution in relation to surface sedimentary facies based on remotely sensed data

Jinah Eom, Jong Kuk Choi, Joo Hyung Ryu, Han Jun Woo, Joong Sun Won, Seok Jang

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Tidal channel networks are important factors influencing the morphodynamics of tidal flats and surface sedimentary facies. Here we investigate the relationship between channel distribution and sedimentary facies in Geunso Bay tidal flat, Korea. The tidal channel networks were extracted from a high spatial resolution aerial photograph, and for each sedimentary facies the pattern of tidal channel distribution was compared in terms of fractal analysis, channel density, and distance from the channel. The tidal channels in each sediment facies had relatively constant meandering patterns, but the density and complexity were distinguishable. The second fractal dimension was 1. 87 in the mud flat, 1. 41 in the mixed flat, and about 1. 30 in the sand flat. The channel density was 0. 036-0. 06 m/m 2 in the mud flat and 0-0. 024 m/m 2 in the mixed and sand flat areas. This implies that the tidal channels in the mud flat area represent a complex and dendritic pattern with high density compared to those in the mixed or sand flat areas. The results were used to test the applicability of adjusting sedimentary facies classification generated from interpolation of survey data. We quantitatively estimated the pattern of tidal channel distribution for each sedimentary facies based on a high spatial resolution aerial photograph. We suggest that tidal channel network features can be useful to surface sedimentary facies classification in tidal flats.

Original languageEnglish
Pages (from-to)127-137
Number of pages11
JournalGeosciences Journal
Volume16
Issue number2
DOIs
Publication statusPublished - 2012 Jun

Bibliographical note

Funding Information:
ACKNOWLEDGMENTS: This research was supported by the Functional Improvement of Korea Ocean Satellite Center project (PE98781) funded by the Korea Ocean Research & Development Institute (KORDI) and the Public Applications Research of Satellite Data project (PG47770) funded by the Korea Research Council of Fundamental Science & Technology.

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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