Assessment of Drought Disasters (EDI) Based on ENSO and NOAA Climate Data Using ANN in Bondowoso Regency

Authors

  • Evid Zulhaqi Master's Program of Civil Engineering, Faculty of Engineering, University of Jember
  • Gusfan Halik Civil Engineering Department, Jember University (SINTA ID : 5987519, Scopus ID : 56816987300)
  • Retno Utami Agung Wiyono Master's Program of Civil Engineering, Faculty of Engineering, University of Jember

DOI:

https://doi.org/10.21776/ub.pengairan.2023.014.01.3

Keywords:

ANN, drought, drought assessment, EDI, ENSO, NOAA

Abstract

Bondowoso Regency is declared to be at high risk for the threat of drought based on the IRBI map of the National Disaster Management Agency in 2020. This study aims to assess drought disasters based on ENSO and NOAA data. The proposed method for rainfall modeling was Statistical Downscaling (SD) using the Backpropagation Neural Network (BPNN), for which the output models were used for drought assessment using the EDI. The reliability test of the rainfall model is to compare the rainfall model with the observed rainfall. The reliability test of the EDI is to compare the results of the EDI analysis from the input rain model data with the observed rainfall data. ANN modeling results showed that monthly rainfall predictions are better. This is indicated by the R2 monthly, and 10-day base values of 0.97 and 0.83, respectively, with RMSE values of 0.05 and 0.07, and the best modeling in EDI analysis was R2 0.88 and 0.63 with RMSE 0.35 and 0.65. Based on the results of this study, it is shown that drought disaster assessment based on ENSO and NOAA climate data can be used as an alternative to support the decision-making system for drought mitigation.

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Published

2023-05-30

How to Cite

Zulhaqi, E., Halik, G., & Agung Wiyono, R. U. (2023). Assessment of Drought Disasters (EDI) Based on ENSO and NOAA Climate Data Using ANN in Bondowoso Regency. Jurnal Teknik Pengairan: Journal of Water Resources Engineering, 14(1), 25–37. https://doi.org/10.21776/ub.pengairan.2023.014.01.3

Issue

Vol. 14 No. 1 (2023)

Section

Articles

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Copyright (c) 2023 Evid Zulhaqi, Gusfan Halik, Dr., Retno Utami Agung Wiyono

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