Repository logo
Article

Spatio-temporal model of extreme rainfall data in the province of South Sulawesi for a flood early warning system

creativeworkseries.issn1898-1135
dc.contributor.authorBakri, Bambang
dc.contributor.authorAdam, Khaeryna
dc.contributor.authorRahim, Amran
dc.date.available2025-04-07T06:37:25Z
dc.date.issued2021
dc.descriptionBibliogr. s. 13-15.
dc.description.abstractIn 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 Madden-Julian Oscillation (MJO) on extreme rainfall events. We also assume that events in a location are affected by events in other nearby locations. Using rainfall data from the province of South Sulawesi, the results showed that extreme rainfall events are related to IOD and MJO.en
dc.description.placeOfPublicationKraków
dc.description.versionwersja wydawnicza
dc.identifier.doihttps://doi.org/10.7494/geom.2021.15.2.5
dc.identifier.eissn2300-7095
dc.identifier.issn1898-1135
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/111955
dc.language.isoeng
dc.publisherWydawnictwa AGH
dc.relationhttps://journals.bg.agh.edu.pl/GEOMATICS/2021.15.2/geom.2021.15.2.5.pdf
dc.relation.ispartofGeomatics and Environmental Engineering
dc.rightsAttribution 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjectspatio‑temporal modelen
dc.subjectextreme rainfallen
dc.subjectprovince of South Sulawesien
dc.subjectEl Nino South Oscillationen
dc.subjectIndian Ocean Dipole Modeen
dc.subjectMadden-Julian Oscillationen
dc.titleSpatio-temporal model of extreme rainfall data in the province of South Sulawesi for a flood early warning systemen
dc.title.relatedGeomatics and Environmental Engineeringen
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 2
publicationissue.paginationpp. 5-15
publicationvolume.volumeNumberVol. 15
relation.isJournalIssueOfPublicationc67a0458-6470-4b6a-869e-2d45b4d55d87
relation.isJournalIssueOfPublication.latestForDiscoveryc67a0458-6470-4b6a-869e-2d45b4d55d87
relation.isJournalOfPublication102998b2-3fd0-4247-98bf-973d6a9ba2d9

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
geom.2021.15.2.5.pdf
Size:
1.98 MB
Format:
Adobe Portable Document Format