Proceedings of the International Conference of Tropical Studies and its Applications (ICTROPS 2022)

Flood Vulnerability Analysis Using Ahp Method in Puwajaya Village, East Kalimantan, Indonesia

Authors
Resty Intan Putri1, *, Utari Alifia1, Puspa Indah Rindawati1, Retno Anjarwati1
1Geological Engineering, Faculty of Engineering, Mulawarman University, Jl. Sambaliung, Sempaja Sel., Kec. Samarinda Utara, Kota Samarinda, Kalimantan Timur, 75242, Indonesia
*Corresponding author. Email: resty.intan@ft.unmul.ac.id
Corresponding Author
Resty Intan Putri
Available Online 27 July 2023.
DOI
10.2991/978-94-6463-180-7_18How to use a DOI?
Keywords
Flood; Geographic Information System (GIS); Analytical Hierarchy Process (AHP); ArcGIS
Abstract

The analysis of flood-vulnerability areas in this study uses the help of a Geographic Information System (GIS) where GIS capabilities can be harmonized with remote sensing. This analysis uses five criteria, namely (1) Slope (2) Land Use (3) Distance to River (4) Rainfall (5) Rock Unit. By using three alternative approaches, where Scenario 1 was analyzed with five basic criteria, Scenario 2 was analyzed with 4 basic criteria except rock units, and Scenario 3 was with 4 basic criteria except rainfall. The results of the analysis of all parameters were then compared and weighted using the Analytic Hierarchy Process (AHP) Pairwise Comparison matrix. The weight value for scenario 1 is 0.278, scenario 2 is 0.436 and scenario 3 is 0.284. The highest scenario is scenario 2 with the weight criteria being 0.53 rainfall, 0.20 land use, 0.14 slope, and 0.13 distance to the river. From the slope analysis, the research area is located in plains (at a slope level of 0–13% to 21–55%). The dominant land use in the research area are forest and ex-mining areas. The closest distance to the river is a distance of <100 m. Rainfall analysis using the Ishoyet method resulted in the distribution of rainfall <13.6 mm which was included in the low category. All analysis results are combined using the Overlay Intersection method in ArcGIS 10.4 to produce a map of flood-vulnerability areas based on the 4 criteria used. It was found that 5% of the research sites is very vulnerable to flood, 25% of the research sites is vulnerable to flood and 10% of the research sites is endangered to flood.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference of Tropical Studies and its Applications (ICTROPS 2022)
Series
Advances in Biological Sciences Research
Publication Date
27 July 2023
ISBN
978-94-6463-180-7
ISSN
2468-5747
DOI
10.2991/978-94-6463-180-7_18How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Resty Intan Putri
AU  - Utari Alifia
AU  - Puspa Indah Rindawati
AU  - Retno Anjarwati
PY  - 2023
DA  - 2023/07/27
TI  - Flood Vulnerability Analysis Using Ahp Method in Puwajaya Village, East Kalimantan, Indonesia
BT  - Proceedings of the International Conference of Tropical Studies and its Applications (ICTROPS 2022)
PB  - Atlantis Press
SP  - 150
EP  - 163
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-180-7_18
DO  - 10.2991/978-94-6463-180-7_18
ID  - Putri2023
ER  -