| Issue |
BIO Web Conf.
Volume 216, 2026
The 6th Sustainability and Resilience of Coastal Management (SRCM 2025)
|
|
|---|---|---|
| Article Number | 04003 | |
| Number of page(s) | 15 | |
| Section | Climate Change Adaptation and Mitigation | |
| DOI | https://doi.org/10.1051/bioconf/202621604003 | |
| Published online | 05 February 2026 | |
Comparative analysis of shoreline dynamics in Surabaya and Sidoarjo under climate variability
1 Department of Geomatics Engineering, FTSPK, ITS, Surabaya, East Java, Indonesia
2 Maritim Meteorological Station of Tanjung Perak, BMKG, Surabaya, East Java, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study investigates the influence of hydroclimatic variability on shoreline dynamics along two contrasting coastal systems in East Java, Indonesia, Surabaya’s engineered urban coast and Sidoarjo’s natural tidal-flat coast, during 2015–2025. Shorelines were extracted from multi-temporal Landsat imagery using NDWI, shoreline change rates were calculated with DSAS, and rainfall data from BMKG were correlated with mean End Point Rate (EPR) to assess hydroclimatic impacts on coastal morphodynamics. Results reveal contrasting shoreline trajectories driven by coastal typology. Surabaya exhibits semi-cyclic shoreline adjustments controlled by reclamation barriers and restricted sediment pathways, resulting in localized accretion despite declining rainfall. In contrast, Sidoarjo shows rainfall-responsive erosion–accretion cycles, where open tidal channels enable rapid sediment redistribution during high-rainfall periods. Rainfall–EPR correlations are strong at the local scale (r = 0.76 in Surabaya; r = 0.80 in Sidoarjo) but weak when aggregated (r ≈ 0.10). This indicates that integrating hydroclimatic indicators with geomorphic context does not increase overall correlation strength, but improves interpretation of typology-specific shoreline responses obscured in aggregated analyses. The NDWI–DSAS–rainfall workflow provides a scalable framework for monitoring shoreline dynamics in tropical monsoonal environments.
Key words: shoreline dynamics / rainfall variability / NDWI / EPR / Landsat imagery / climate variability / coastal management
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

