Change Point Detection in Time Series Data of Annual Maximum Daily Rainfall in Mamminasata Region of South Sulawesi, Indonesia
- 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.
Cite this article
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 -