High water mark determination based on spatial continuity of swash probability

Xin Liu, Jianhong Xia, Chris Blenkinsopp, Lesley Arnold, Graeme Wright

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This study presents a model that determines the position of the high water mark (HWM) based on the spatial continuity of inundation probability due to swash for a range of HWM indicators. These indicators include mean high water (MHW), high water line (HWL), and a number of shoreline features, such as the vegetation line. HWM identifies the landward extent of the ocean and is required for cadastral boundary definition, land-use and infrastructure development along the foreshore ,and for planning associated with climate change adaptation. In this paper, shoreline indicators are extracted using an object-oriented image analysis (OOIA) approach. Ten-year hourly swash heights (shoreline excursion length) are fitted into a cumulative distribution function. The probability that swash will reach the various HWM indicators over a 10 y period is then estimated. The spatial continuity distances of the swash probability of HWM indicators are calculated using semivariogram models that measure similarity of swash probability. The spatial continuity distance is defined as the distance between the lower bound of sampling position (the most seaward HWM indicator) and the position where autocorrelation, or the similarity of swash probability of the various HWM indictors, approaches zero. The latter is considered as the HWM position in this study. This HWM determination method is evaluated at two study sites at different latitudes and with distinct coastal features.
Original languageEnglish
Article number00061.1
Pages (from-to)487-499
Number of pages13
JournalJournal of Coastal Research
Volume30
Issue number3
DOIs
Publication statusPublished - May 2014

Keywords

  • High water mark
  • semivariogram
  • swash probability distribution

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