Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)

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Change Point Detection in Time Series Data of Annual Maximum Daily Rainfall in Mamminasata Region of South Sulawesi, Indonesia

Authors
Wahidah Sanusi1, *, Sahlan Sidjara1, Sudarmin Patahuddin2, Muhammad Danial3
1Department of Mathematics, Universitas Negeri Makassar, Makassar, Indonesia
2Department of Statistics, Universitas Negeri Makassar, Makassar, Indonesia
3Department of Chemistry, Universitas Negeri Makassar, Makassar, Indonesia
*Corresponding author. Email: wahidah.sanusi@unm.ac.id
Corresponding Author
Wahidah Sanusi
Available Online 22 August 2023.
DOI
10.2991/978-94-6463-228-6_33How to use a DOI?
Keywords
Bootstrap analysis; change point; CUSUM; rainfall
Abstract

This research aim is to detect the change point year of annual maximum daily rainfall at eight rainfall stations in the Mamminasata region for the period 1989 to 2020. The Mamminasata region covers Makassar City, Maros District, Sungguminasa/Gowa District, and Takalar District. Research data were obtained from the Water Resources Management Office of South Sulawesi Province, and the Meteorology, Climatology, and Geophysics Agency of Makassar. The change point of the mean maximum daily rainfall at the Mamminasata region is identified by the cumulative sum (CUSUM) analysis, while a bootstrap analysis is employed to determine a confidence level of the detected change point. Based on a simple linear regression analysis showed that Makassar city, Gowa district, and Panyalingan station (Maros district) have negative trends, while Takalar district and Maroangin station (Maros district) have positive trends. The study results also showed significant changes in the mean maximum daily rainfall detected in 2003 and 2007 at Makassar City, in 1996 in Gowa District, and in 2016 in Takalar District. Meanwhile, in the Maros district, a change point of annual maximum daily rainfall found no significance.

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 4th International Seminar on Science and Technology (ISST 2022)
Series
Advances in Physics Research
Publication Date
22 August 2023
ISBN
10.2991/978-94-6463-228-6_33
ISSN
2352-541X
DOI
10.2991/978-94-6463-228-6_33How 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  - Wahidah Sanusi
AU  - Sahlan Sidjara
AU  - Sudarmin Patahuddin
AU  - Muhammad Danial
PY  - 2023
DA  - 2023/08/22
TI  - Change Point Detection in Time Series Data of Annual Maximum Daily Rainfall in Mamminasata Region of South Sulawesi, Indonesia
BT  - Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)
PB  - Atlantis Press
SP  - 297
EP  - 302
SN  - 2352-541X
UR  - https://doi.org/10.2991/978-94-6463-228-6_33
DO  - 10.2991/978-94-6463-228-6_33
ID  - Sanusi2023
ER  -