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

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Drought Analysis Using Standardized Precipitation Index (SPI) Based on Representative Concentration Pathways (RCPs) in Bantul and Gunung Kidul Regencies, DI Yogyakarta

Authors
Abi Wijaya Angga Prahatma1, Wini Prayogi Abdila1, *, Bayu Dwi Apri Nugroho1
1Agricultural and Biosystem Engineering Department, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia
*Corresponding author. Email: wini.prayogi.a@mail.ugm.ac.id
Corresponding Author
Wini Prayogi Abdila
Available Online 22 May 2023.
DOI
10.2991/978-94-6463-122-7_40How to use a DOI?
Keywords
drought; Standardized Precipitation Index (SPI); Representative Concentration Pathways (RCP); precipitation
Abstract

One of the natural disasters that is increasing in frequency due to the phenomenon of climate change and very detrimental to agriculture is drought. Future drought events need to be known so that adaptation and mitigation can be carried to avoid large losses. The purpose of this study is to determine the amount of future precipitation in the next 25 years (2025–2049) and to determine the drought category of the SPI based on climate change scenarios RCP2.6, RCP4.5, and RCP 8.5. The initial stage of the study was carried out by calculating future precipitation with a 5-year period during 2024–2049 based on the RCP2.6, RCP4.5, and RCP 8.5 scenarios. This calculation is done using SDSM software version 4.2. The next step is to calculate the 3-month SPI from future precipitation data for each scenario. The results show that the worst 3-month SPI drought index shows extreme dry conditions in the RCP2.6 scenario during the 2040–2044 period, in the RCP4.5 scenario during the 2035–2039, and in the RCP8.5 scenario during the 2030–2034 period.

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
978-94-6463-122-7
ISSN
2468-5747
DOI
10.2991/978-94-6463-122-7_40How 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

risenwbib
TY  - CONF
AU  - Abi Wijaya Angga Prahatma
AU  - Wini Prayogi Abdila
AU  - Bayu Dwi Apri Nugroho
PY  - 2023
DA  - 2023/05/22
TI  - Drought Analysis Using Standardized Precipitation Index (SPI) Based on Representative Concentration Pathways (RCPs) in Bantul and Gunung Kidul Regencies, DI Yogyakarta
BT  - Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
PB  - Atlantis Press
SP  - 424
EP  - 434
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-122-7_40
DO  - 10.2991/978-94-6463-122-7_40
ID  - Prahatma2023
ER  -