| Issue |
MATEC Web Conf.
Volume 177, 2018
The 5th International Seminar on Ocean and Coastal Engineering, Environmental and Natural Disaster Management (ISOCEEN 2017)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/matecconf/201817701017 | |
| Published online | 04 July 2018 | |
Sea level rise impact modelling on small islands: case study gili raja island of east java
1
Department of Marine Science, Trunojoyo University of Madura, East Java Indonesia
2
Post Graduate Student, Faculty of Marine Technology, Sepuluh Nopember Institute of Technology, East Java Indonesia
* Correspondingauthor : zainulhidayah@trunojoyo.ac.id
Coastal regions and small islands are areas that will be adversely affected by the phenomenon of sea level rise globally. In general, Sea Level Rise (SLR) will result in coastal impacts as follows: increased frequency and intensity of floods, changes in ocean currents and widespread intrusion of sea water. This research was conducted in Gili Raja Island of Sumenep Madura. Objectives of this research were to demonstrate the ability of combining remote sensing and GIS method to determine the impact of SLR on a small island and to model its scale using different scenario. GIS based run-up model were performed to estimate and predict the impact of SLR to the island’s area. Three water level scenario (0.5 m, 1.0 m and 1.5 m) were applied. The results showed that in the first scenario 8.73% of the island was flooded by sea water, furthermore in two other scenario the flooded area was increase significantly (15.88% and 22.38%).
Key words: sea level rise / small island / geographic information system
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.