PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 2, 2026Frontiers in Marine Science0 citationsOpen Access

Multi-decadal analysis of shoreline dynamics and coastal vulnerability along the Duba coast (Red Sea, Saudi Arabia): interaction of natural and anthropogenic factors in a context of rapid development

EAEman Rafi AlameryMMMohamed Nejib El MelkiKFKhadeijah Yahya Faqeih

Key Points

Key points are not available for this paper at this time.

Abstract

Introduction Shorelines in dry regions are increasingly threatened by climate change and rapid human development. This study provides a comprehensive overview of shoreline change along the 130 km Duba coast on the north Saudi Arabian Red Sea. Methods We analyzed 39 years (1985–2024) of satellite imagery, including 15 Landsat and 8 Sentinel-2 scenes, using the Digital Shoreline Analysis System (DSAS v5. 1) with enhanced temporal resolution and spatially adaptive uncertainty values. Key regression analyses and statistical tools were applied to assess natural and anthropogenic drivers of shoreline change. Results The shoreline shifts rapidly, averaging -0. 73 0. 18 m/year, more than 2. 4 times the global average for dry coasts. A significant change occurred around 2004, marking a transition from stable to accelerated shoreline movement. Erosion dominated 68. 2% of the coastline, reaching -2. 34 0. 28 m/year in the densely built northern sector, while accretion occurred in southeast bays. Regression analysis attributed 58% of variance to natural causes (e. g. , wave energy, sea level anomalies) and 42% to human activities (e. g. , building density, port construction). The Coastal Vulnerability Index identified 62% of the coast at high or very high risk. Discussion Our integrated approach, combining multi-temporal remote sensing with advanced statistical and uncertainty analysis, provides reproducible results and actionable insights for coastal management. The findings support Saudi Arabia’s Vision 2030 and NEOM goals and can be applied to monitor other rapidly changing dry coastlines worldwide.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Alamery et al. (2026) studied this question.

synapsesocial.com/papers/6a22f7a7d72a377c8660cff6https://doi.org/10.3389/fmars.2026.1789802
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill2012 · 538 citations
  2. 2Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices2019 · 815 citations
  3. 3The Diurnal Cycle of Rainfall and the Convectively Coupled Equatorial Waves over the Maritime Continent2020 · 66 citations
  4. 4The ERA5 global reanalysis2020 · 32,086 citations
  5. 5Comparing Mean High Water and High Water Line Shorelines: Should Proxy-Datum Offsets be Incorporated into Shoreline Change Analysis?2006 · 159 citations