Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)

Flood Vulnerability Analysis on Paddy Fields Using the Spatial Multi-criteria Evaluation Method: A Case Study of Bantul Regency-Indonesia

Authors
Sulistiawan Fajar Nugroho1, Anindya Hias Bestari1, Azizah Nurkhalifah1, Yadug Restuaji1, Andung Bayu Sekaranom1, *
1Department of Environmental Geography, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, Indonesia
*Corresponding author. Email: andung.geo@ugm.ac.id
Corresponding Author
Andung Bayu Sekaranom
Available Online 22 May 2023.
DOI
10.2991/978-94-6463-122-7_11How to use a DOI?
Keywords
Bantul Regency; Flood; Paddy Fields; Spatial Multi-Criterial Evaluation; Vulnerability
Abstract

Bantul Regency is one of the areas with highest agricultural productivity in Yogyakarta Province-Indonesia, particularly for paddy fields. This region is also vulnerable to floods, which has negative impacts on the local community, particularly farmers. This study aims to determine the level of flood vulnerability of paddy fields in the study area. Spatial Multi-Criteria Evaluation (SMCE) method was conducted to determine the priority value of flood vulnerability factors on paddy fields. The parameters used for determining flood vulnerability are rainfall, slope, elevation, land use, geology, soil type, landform, and distance to the river. Based on the results, flood vulnerability in paddy fields was classified into five classifications, namely very low, low, moderate, high, and very high. Almost half of the total paddy fields area is moderately vulnerable (49.78%). Most of the moderately vulnerable area is close to urban areas and had higher precipitation. It also located on a higher elevation than central Bantul. The southeast side (Imogiri Subdistrict) and southwest side (Srandakan, Pandak, and Sanden Subdistricts) of Bantul Regency are categorized as highly vulnerable. Compared to historical flood data, the SMCE modelling show a similarity. Therefore, it can be used as basis for disaster management in the study area.

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 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
Series
Advances in Biological Sciences Research
Publication Date
22 May 2023
ISBN
10.2991/978-94-6463-122-7_11
ISSN
2468-5747
DOI
10.2991/978-94-6463-122-7_11How 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  - Sulistiawan Fajar Nugroho
AU  - Anindya Hias Bestari
AU  - Azizah Nurkhalifah
AU  - Yadug Restuaji
AU  - Andung Bayu Sekaranom
PY  - 2023
DA  - 2023/05/22
TI  - Flood Vulnerability Analysis on Paddy Fields Using the Spatial Multi-criteria Evaluation Method: A Case Study of Bantul Regency-Indonesia
BT  - Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
PB  - Atlantis Press
SP  - 113
EP  - 123
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-122-7_11
DO  - 10.2991/978-94-6463-122-7_11
ID  - Nugroho2023
ER  -