Quantitative interpretation of risk potential of beach erosion due to coastal zone development

Abstract

Abstract. Coastal erosion is more severe due to human-induced coastal zone development in addition to natural climate change. Anthropogenic development affecting coastal erosion is divided into three areas; watersheds, coastal waters, and coastal land areas. In this study, the ultimate effect of anthropogenic development on changes in the amount of sand, changes in the littoral drift, and changes in shoreline variability in these three planar areas is expressed as quantitative risk potential of beach erosion damage, defined as a change in the planar surface of the sand beach. The change in the amount of sand is due to the law of conservation of matter, and the littoral drift characteristic of sand is interpreted as a change in the main crest line at the breaking point, and the response characteristics of shoreline position is interpreted as change in the erodibility and recovery characteristics of beach sand. This quantitative method was applied to Bongpo-Cheonjin Beach of erosion grade D (frequency of erosion damage within 5 years) in Gangwon-do, Korea to identify the cause of erosion and evaluate the detailed applicability of this method. It was interpreted using a series of aerial photographs taken from 1972 to 2017 and survey data obtained from the erosion rating project started in 2010. In the erosion rating project, the GPS shoreline survey of 4 times per year and the sand sampling at the swash zones of base line at 150 m intervals are mainly carried out. We showed the feasibility of methodology evaluating the risk potential for beach erosion proposed in this study, and it can be expected that this method will be applicable to eroded beaches elsewhere.

Coastal Monitoring Using Unmanned Aerial Vehicles (UAVs) for the Management of the Spanish Mediterranean Coast: The Case of Almenara-Sagunto

“…The sedimentary transport by waves and storm surges was estimated. The wave climate in the area was established [40][41][42][43][44] using different data sources. Tide data were obtained from Valencia tide gauge (REDMAR network) managed by Organismo Público Puertos del Estado (OPPE), which is an hourly data series provided by the Maritime Climate Program including data collected since 1992.…”

“…Relationships between the different sea reference levels were considered. Wind conditions (mean and extreme annual conditions) were determined, obtained through dynamic downscaling using the WRF-ARW 3.1.1 model (weather research and forecasting and advanced research dynamical solver) from the ERA-interim atmospheric reanalysis [40], developed by the European Center for Medium-Range Weather Forecasts (ECMWF). Wave data at deep water conditions were obtained, which are also from the GOW 2.1 (Global Ocean Waves 2.…”

Analysis of Long-Term Shoreline Observations in the Vicinity of Coastal Structures: A Case Study of South Bali Beaches

“…In Southeast Asia, for instance, over the last 15 years (2000-2015), the coastline has experienced 5% deposition and 6% retreat, based on remote sensing data extraction [7]. In South Korea, coastal erosion has occurred since at least the 1990s as a result of the infrastructure influence, amount of river sediment flow, and other factors [11][12][13].…”

“…The high demand for residency in coastal areas has also led to the widespread coastal construction [13], such as the Pengambengan fishing port in the western part of Bali. These coastal harbors hinder longshore transport from the Indian Ocean, causing erosion in the downcoast area, as indicated by the collapsed seawall and scarp erosion [14].…”