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Drought Analysis in East Nusa Tenggara (Indonesia) Using Regional Frequency Analysis.
Kuswanto, Heri; Puspa, Anggi Wahyu; Ahmad, Imam Safawi; Hibatullah, Fausania.
Affiliation
  • Kuswanto H; Center for Disaster Mitigation and Climate Change, Institut Teknologi Sepuluh Nopember, Jalan Raya ITS, Surabaya 60111, Indonesia.
  • Puspa AW; Department of Statistics, Institut Teknologi Sepuluh Nopember, Jalan Raya ITS, Surabaya 60111, Indonesia.
  • Ahmad IS; Department of Statistics, Institut Teknologi Sepuluh Nopember, Jalan Raya ITS, Surabaya 60111, Indonesia.
  • Hibatullah F; Departement of Actuarial Science, Institut Teknologi Sepuluh Nopember, Jalan Raya ITS, Surabaya 60111, Indonesia.
ScientificWorldJournal ; 2021: 6626102, 2021.
Article in En | MEDLINE | ID: mdl-33935598
Drought is a condition of a shortage of water that has an impact on economic activity. This research studies the severe drought area in Indonesia using Regional Frequency Analysis (RFA), based on daily precipitation data recorded at nine stations. The analysis reveals five homogeneous regions, based on discordancy and heterogeneity tests. Furthermore, the L-moment approach is applied to investigate the regional distribution and suggests that the Pearson type III distribution is the distribution that best fits the five regions. This distribution is also used to calculate the regional growth curve that is employed in the drought analysis. The drought return period analysis, for conditions of 40% of normal rainfall, concludes that the region containing the Fransiskus Xaverius, Gewayantana, and Mali stations has the highest drought risk, indicated by the fastest return period estimate of 2 years and 4 months. Moreover, the extreme drought analysis shows that two of the regions have the potential to experience the return of extreme drought, with less than 20% of normal rainfall, in less than four years.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Droughts Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: ScientificWorldJournal Journal subject: MEDICINA Year: 2021 Document type: Article Affiliation country: Indonesia Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Droughts Type of study: Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: ScientificWorldJournal Journal subject: MEDICINA Year: 2021 Document type: Article Affiliation country: Indonesia Country of publication: United States