Bambang Bakri, - and Khaeryna Adam, - and Amran Rahim, - Spatio‐Temporal Model of Extreme Rainfall Data in the Province of South Sulawesi for a Flood Early Warning System. GEOMATICS AND ENVIRONMENTAL ENGINEERING • Volume 15 • Number 2 • 2021.
geom.2021.15.2.5.pdf
Restricted to Repository staff only
Download (2MB)
Abstract (Abstrak)
In this study, we model extreme rainfall to study the high rainfall events in the province of South Sulawesi, Indonesia. We investigated the effect of the El Nino South Oscillation (ENSO), Indian Ocean Dipole Mode (IOD), and Mad‐ den–Julian Oscillation (MJO) on extreme rainfall events. We also assume that events in a location are affected by events in other nearby locations. Using rain‐ fall data from the province of South Sulawesi, the results showed that extreme rainfall events are related to IOD and MJO.
Item Type: | Article |
---|---|
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Depositing User: | - Andi Anna |
Date Deposited: | 03 Nov 2022 05:27 |
Last Modified: | 03 Nov 2022 05:27 |
URI: | http://repository.unhas.ac.id:443/id/eprint/22911 |