Analysis of Drought in the Sekayam Watershed during a Very Strong El Niño Event (1997)
DOI:
https://doi.org/10.35799/jis.v24i2.56109Keywords:
Rainfall, drought, el niño, standardized precipitation indexAbstract
Low rainfall and limited surface water availability during El Niño events leave significant portions of Indonesia highly susceptible to drought. As a mitigation strategy to address the impacts of the El Niño phenomenon, a comprehensive analysis of drought characteristics in affected regions is essential. This study aims to assess the characteristics of meteorological drought using the Standardized Precipitation Index (SPI) method, and hydrological drought through the Standardized Streamflow Index (SSI) method, within the Sekayam Watershed. The data utilized in this study includes rainfall and streamflow data from the period of the exceptionally strong El Niño event in 1997.The findings indicate that meteorological drought in the Sekayam Watershed was predominantly classified as moderately dry, with the most severe drought conditions observed in January, March, and December, affecting a small portion of the upstream area of the watershed. In contrast, hydrological drought was primarily categorized as dry, with the most severe conditions occurring in July. Moreover, the correlation between SPI and SSI during the 1997 El Niño event was found to be strong, with a correlation coefficient of 0.77.
Keywords: Rainfall; drought; el niño; standardized precipitation index
References
Algadri, A.P., Donny Harisuseno, & Sri Wahyuni. (2024). Analisa Indeks Kekeringan Menggunakan Metode Standardized Precipitation Index (SPI) di Sub DAS Grindulu. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 4(1), 1151–1159. https://doi.org/10.21776/ub.jtresda.2024.004.01.097.
Ariyani, R. N., Muliadi, M., & Adriat, R. (2022). Analisis Kecenderungan Hujan Ekstrem Berbasis Indeks Iklim Ekstrem Periode Tahun 1990-2019 di Kalimantan Barat. Positron, 12(1), 49–59. https://doi.org/10.26418/positron.v12i1.47312.
Bertan, C.V., Dundu, A.K.T., & Mandagi, R.J.M. (2016). Pengaruh Pendayagunaan Sumber Daya Manusia (Tenaga kerja) Terhadap Hasil Pekerjaan (Studi Kasus Perumahan Taman Mapanget Raya (Tamara). Jurnal Sipil Statik, 4(1), 13–20.
Fau, S.W., Ihwan, A., & Adriat, R. (2023). Analisis Kekeringan Lahan di Kayong Utara pada Saat El-Niño Tahun 2019. Jurnal Sains & Teknologi Modifikasi Cuaca, 24(2), 93–100.
Firdaus, A., Harisuseno, D., & Suhartanto, E. (2021). Studi Analisa Kekeringan Metode Standardized Precipitation Index (SPI) dan Palmer Drought Severity Index (PDSI) di DAS Kemuning Kabupaten Sampang. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 1(2), 535–548. https://doi.org/10.21776/ub.jtresda.2021.001.02.17.
Ihwan, A., Pawitan, H., Hidayat, R., Latifah, A.L., & Taufik, Muh. (2019). Analisis Karakteristik Kekeringan DAS Kapuas Kalimantan Barat Berdasarkan Luaran Global Climate Model. Positron, 9(2), 74. https://doi.org/10.26418/positron.v9i2.35072.
Ihwan, A., Tsabitaa, T. K., & Adriat, R. (2024). Analisis Kekeringan Meteorologi di Wilayah Iklim Hutan Hujan Tropis pada Saat El Niño Kuat Tahun 2015. Jurnal Agrotek Tropika, 12(1), 310–314.
Jadmiko, S.D., Murdiyarso, D., & Faqih, A. (2017). Koreksi Bias Luaran Model Iklim Regional untuk Analisis Kekeringan. Jurnal Tanah Dan Iklim, 41(1), 25–36. https://doi.org/10.21082/jti.v41n1.2017.25-35.
McKee, T.B., Doesken, N.J., & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology, 17(22), 179–183.
Muarifah, A.R., Harisuseno, D., & Suhartanto, E. (2021). Studi Perbandingan Metode Standardized Precipitation Index (SPI) dan Rainfall Anomaly Index (RAI) untuk Mengestimasi Kekeringan pada DAS Welang. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 1(2), 489–500. https://doi.org/10.21776/ub.jtresda.2021.001.02.13
Nkiaka, E., Nawaz, N.R., & Lovett, J.C. (2017). Using standardized indicators to analyse dry/wet conditions and their application for monitoring drought/floods: a study in the Logone catchment, Lake Chad basin. Hydrological Sciences Journal, 62(16), 2720–2736. https://doi.org/10.1080/02626667.2017.1409427.
Purnamasari, I., Pawitan, H., & Renggono, F. (2017). Analisis Penjalaran Kekeringan Meteorologi Menuju Kekeringan Hidrologi Pada Das Larona. Jurnal Pengelolaan Sumberdaya Alam Dan, 7(2), 163–171. https://doi.org/10.29244/jpsl.7.2.163-171.
Rahayu, S., Satria, Y., & Zulfian. (2022). Studi Daerah Rawan Kebakaran Lahan Gambut Berdasarkan Nilai Keetch Byram Drought Index di Kalimantan Barat. Prisma Fiiska, 10(3), 227–233.
Saharjo, B.H., & Ramadhania, D. (2019). Hubungan antara Hotspot Dan Kebakaran Terhadap Timbulnya Penyakit Infeksi Saluran Pernapasan Akut (ISPA) di Kabupaten Kubu Raya, Kalimantan Barat. Journal of Tropical Silviculture, 10(3), 133–139. https://doi.org/10.29244/j-siltrop.10.3.133-139.
Santoso, B.R. (2013). Penerapan Teori RUN untuk menentukan Indeks Kekeringan di Kecamatan Entikong. Jurnal PWK, Laut, Sipil, Tambang, 2(2).
Saputra, I. D.K.A., Sujana, I.W., & Manuaba, I. B. S. (2018). Korelasi Antara Kecerdasan Interpersonal dengan Hasil Belajar IPS SIiswa Kelas V. Mimbar Ilmu, 23(1), 43–52. https://doi.org/10.23887/mi.v23i1.16406.
Shamshirband, S., Hashemi, S., Salimi, H., Samadianfard, S., Asadi, E., Shadkani, S., Kargar, K., Mosavi, A., Nabipour, N., & Chau, K. W. (2020). Predicting Standardized Streamflow index for hydrological drought using machine learning models. Engineering Applications of Computational Fluid Mechanics, 14(1), 339–350. https://doi.org/10.1080/19942060.2020.1715844
Sholikhati, I., Harisuseno, D., & Suhartanto, E. (2013). Studi Identifikasi Indeks Kekeringan Hidrologis pada Daerah Aliran Sungai (DAS) Berbasis Sistem Informasi Geografis (SIG). Jurnal Teknik Pengairan, 4(2), 1–15.
Stevania, R. T., Wibowo, H., & Danial, M. (2021). Analisis Limpasan Permukaan (Runoff) Pada Bagian Hilir Das Sekayam. JeLAST: Jurnal PWK, Laut, Sipil, 1–10.
Sugandi, D., Agustiawan, D., Febriyanti, S.V., Yudi, Y., & Wahyuni, N. (2021). Identifikasi Jenis Mikroplastik dan Logam Berat di Air Sungai Kapuas Kota Pontianak. Positron, 11(2), 112–120. https://doi.org/10.26418/positron.v11i2.49355.
Swastiastuti, A.S., Mulki, G.Z., & Yuniarti, E. (2012). Keseimbangan Air Di Kecamatan Teluk Pakedai, Kabupaten Kubu Raya, Kalimantan Barat. Jurnal Teknik Sipil, 12(2). https://doi.org/10.26418/jtsft.v12i2.1353.
Telesca, L., Lovallo, M., Lopez-Moreno, I., & Vicente-Serrano, S. (2012). Investigation of scaling properties in monthly streamflow and Standardized Streamflow Index (SSI) time series in the Ebro basin (Spain). Physica A: Statistical Mechanics and Its Applications, 391(4), 1662–1678. https://doi.org/10.1016/j.physa.2011.10.023.
Wibowo, R. A., & Kurniawan, A. A. (2020). Analisis Korelasi dalam Penentuan Arah Antar Faktor Pada Pelayanan Angkutan Umum di Kota Magelang. Journal of Electrical Engineering, Computer and Information Technology, 1(2), 1–6.
Windarto, Y. E. (2020). Analisis Penyakit Kardiovaskular Menggunakan Metode Korelasi Pearson, Spearman dan Kendall. Jurnal Saintekom, 10(2), 119-127. https://doi.org/10.33020/saintekom.v10i2.149.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Ajeng Candra Indrawati, Andi Ihwan, Riza Adriat
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
LICENCE: CC-BY-NC
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
