Determination of Coastal Vulnerability Level Based on CVI Method and GIS in Rupat Island, Riau Province
- DOI
- 10.2991/aer.k.210204.027How to use a DOI?
- Keywords
- Vulnerability, Coastal, Island, Rupat, CVI, GIS
- Abstract
The Rupat Island is one of the islands in Riau Province, Indonesia which generally consists of peat soil. Hence several coastal areas surrounded Rupat Island have been severely damaged due to the influence of the sea waves and tides. Meanwhile, the coastal area has been widely occupied by the local human business activities including residential areas, industrials, tourism areas and river catchment areas for fishing activities. Rupat Island is in fact, included in the National Tourism Strategic Area (KSPN) and it is also the outermost island in the territory of the Unitary State of the Republic of Indonesia bordering with Malaysia and Singapore. Hence, the conservation programs for these coastal areas become very important issues in the light of enforcing national sovereignty. This research was conducted to determine the level of vulnerability of the coast on Rupat Island abrasion using the Coastal Vulnerability Index (CVI) method and to generate a spatial map of the coastal areas on Rupat Island which are vulnerable to failure using the Geographical Information System (GIS) approach. The results obtained are that Rupat Island has low to very high coastal vulnerability index with the largest abrasion was occurred in the Pergam Village (with the coastline damage up to 3.5 m / year).
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Rizki Ramadhan Husaini AU - Novreta Ersyi Darfia AU - Ari Sandhyavitri AU - Muhammad Yazid AU - Nursetiawan AU - Daly Riandi PY - 2021 DA - 2021/02/10 TI - Determination of Coastal Vulnerability Level Based on CVI Method and GIS in Rupat Island, Riau Province BT - Proceedings of the 4th International Conference on Sustainable Innovation 2020–Technology, Engineering and Agriculture (ICoSITEA 2020) PB - Atlantis Press SP - 137 EP - 143 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.210204.027 DO - 10.2991/aer.k.210204.027 ID - Husaini2021 ER -