Penerapan Metode SPI untuk Analisis Kekeringan di DAS Sombe - Lewara Kabupaten Sigi

Authors

  • V.W. Andiesse Jurusan Teknik Sipil, Fakultas Teknik Universitas Tadulako, Palu, Indonesia, 94112
  • S. Lipu Jurusan Teknik Sipil, Fakultas Teknik Universitas Tadulako, Palu, Indonesia, 94112
  • A. Setiawan Jurusan Teknik Arsitektur, Fakultas Teknik Universitas Tadulako, Palu, Indonesia, 94112
  • N.B. Rustiati Jurusan Teknik Sipil, Fakultas Teknik Universitas Tadulako, Palu, Indonesia, 94112
  • S.R. Oktavia Jurusan Teknik Sipil, Fakultas Teknik Universitas Tadulako, Palu, Indonesia, 94112
  • T. Amaliah Jurusan Teknik Sipil, Fakultas Teknik Universitas Tadulako, Palu, Indonesia, 94112
  • I.F. Tandiseru Jurusan Teknik Sipil, Fakultas Teknik Universitas Tadulako, Palu, Indonesia, 94112

DOI:

https://doi.org/10.22487/renstra.v5i2.669

Keywords:

standardized precipitation index (SPI), droughtness index, gamma distribution, Sombe Lewara watershed

Abstract

The level of drought and wetness is a standard in estimating conditions in an area that occur in the past, present, and future. By knowing the SPI value of an area, it can be known the drought distribution map which aims to handle drought disaster mitigation and adaptation. This research aims to see how much the level of drought, wetness, and normal conditions that occur in the Sombe Lewara Watershed, Sigi Regency so that prevention can be carried out and the basis for government policy-making in the event of a drought disaster. The method used in this research is the SPI (Standardized Precipitation Index) method which is commonly used to determine the deviation of rainfall from the norm, in a period (monthly, bi-monthly, quarterly, and so on). This method is one of the analysis methods of the many techniques to obtain the existing drought index. In this study, the data used is rainfall data for 19 years (2003 - 2021) obtained from Porame Rain Station. The rainfall data is then processed to obtain the SPI value in the Sombe Lewara watershed. For the calculation of SPI, the processed rainfall data is then transferred to the gamma distribution to obtain the SPI value. SPI-1 index (1.145) with moderately wet conditions, SPI-3 (0.640) with normal conditions, SPI-6 (-0.234) with normal conditions, SPI-9 (1.578) with dry conditions, and SPI-12 (1.017) with moderately dry conditions.From 2003 - 2021, the year that experienced the worst drought conditions was in 2014 in SPI-1 with an SPI value of -3.888 (very dry). After all SPI values are averaged, the standard SPI value of the Sombe Lewara Watershed is in normal conditions with a value of 0.829.

Downloads

Download data is not yet available.

References

R. Ardiputro, R.R.R. Hadiyani, and S. Setiono, “Prediksi Kekeringan dengan Metode Standardized Precipitation Index (SPI) Pada Daerah Aliran Sungai Wuryantoro Kabupaten Wonogiri”, Matriks Tek. Sipil, vol. 4, no. 2, p. 482, 2016.

A. Firdaus, D. Harisuseno, and E. Suhartanto, “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, vol. 1, no. 2, p. 535, 2021

M. Svoboda, M. Hayes, and D. Wood, Standarized Precipitation Index: User Guide, Lincoln: University of Nebraska, 2012.

M.I. Pratama, “Angkutan Sedimen Menggunakan Metode Yang Pada Sungai Sombe, Palu, Sulawesi Tengah”, Rekonstruksi Tadulako: Civil Engineering. Journal on Research and Development, vol. 2, no. 1, p. 33, 2021.

M. Bisri and E. Suhartanto, “Studi Teknologi Konservasi untuk Menurunkan Laju Erosi Pada Sub DAS Sombe Lewara Provinsi Sulawesi Tengah”, Jurnak Teknik Pengairan, vol. 3, no. 2, p. 204, 2012.

M. Dewita, D. Harisuseno, and E. Suhartanto, “Analisis Kekeringan Meteorologi dengan Metode Standardized Precipitation Index (SPI) dan China Z Index (CZI) Di Sub DAS Kadalpang, Kabupaten Pasuruan”, Jurnal Teknologi dan Rekayasa Sumber Daya Air, vol. 2, no. 1, p. 1, 2022.

C. Malini, Analisis Kekeringan Meteorologi Menggunakan Metode Standardized Precipitation Index di DAS Bedadung Kab. Jember, Jember: Universitas Jember, 2021.

D. Khairani, D. Harisuseno, and E. Suhartanto, “Penerapan Metode Standardized Precipitation Index (SPI) dan Effective Drought Index (EDI) untuk Mengestimasi Kekeringan di DAS Rejoso Kabupaten Pasuruan”, Jurnal Mahasiswa. Jurusan Teknik Pengairan, vol. 3, no. 2, p. 1, 2018.

I. Andika, Penerapan Metode Standardized Precipitation Index (SPI) untuk Analisa Kekeringan di DAS Ngasinan Kabupaten Trenggalek, Malang: Universitas Brawijaya, 2016.

Y. Pramudya and T. Onishi, “Assessment of the Standardized Precipitation Index (SPI) in Tegal City, Central Java, Indonesia,” IOP Conference Series Earth and Environmental Science, vol. 129, p. 1, 2018.

M.J. Hayes, M.D. Svoboda, D.A. Wilhite, and O.V. Vanyarkho, “Monitoring the 1996 Drought Using the Standardized Precipitation Index”, Bulletin of the American Meteorological Society, vol. 80, no. 3, p. 429, 1999.

A.R. Muarifah, D. Harisuseno, and E. Suhartanto, “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, vol. 1, no. 2, p. 489, 2021.

R.S. Swatika, Analisa Indeks Kekeringan dengan Metode Standardized Precipitation Index (SPI) Pada Sub DAS Widas Kabupaten Nganjuk, Malang: Universitas Brawijaya, 2014.

B. Tjahjono, B. Barus, And N.W. Darojati, “Hubungan Indeks Osilasi Selatan dan Indeks Curah Hujan terhadap Kejadian Kekeringan di Kabupaten Indramayu, Jawa Barat, Indonesia”, Journal of Regional and Rural Development Planning (Jurnal Perencanaan Pembangunan Wilayah dan Perdesaan), vol. 1, no. 1, p. 64, 2017.

D. Masruroh and C. Bowo, “Analisis Indeks Kekeringan Metode Standardized Precipitation Index (Spi) Dan Pengaruhnya Terhadap Produktivitas Padi Dan Jagung”, Jurnal Tanah dan Sumberdaya Lahan, vol. 9, no. 2, p. 277, 2022.

R. Widyastuti, “Pola Sebaran Kekeringan di Kecamatan Simpenan Menggunakan Metode SPI (Standardized Precipitation Index)”, Jurnal Geosaintek, vol. 6, no. 1, p. 19, 2020.

B. Laurensz, F. Lawalata, and S.Y.J. Prasetyo, “Potensi Resiko Banjir dengan Menggunakan Citra Satelit (Studi kasus: Kota Manado, Provinsi Sulawesi Utara)”, Indonesian Journal of Computing and Modeling, vol. 2, no. 1, p. 17, 2019.

D. Triatmoko, A. Susandi, M.A. Mustofa, and E.E.S. Makmur, Using Standardized Precipitation Index Method for Identification Meteorological Drought in Pantura West Java Area, Bandung: Institut Teknologi Bandung, 2012.

R.U. Absari, G. Halik, and W.Y. Widiarti, “Analisis Indeks Kekeringan Meteorologis di Bagian Utara Kabupaten Lumajang”, Semesta Teknika, vol. 24, no. 1, p. 10, 2021.

Downloads

Published

2024-08-29

How to Cite

Andiesse, V. ., Lipu, S., Setiawan, A. ., Rustiati, N. ., Oktavia, S. ., Amaliah, T. ., & Tandiseru, I. . (2024). Penerapan Metode SPI untuk Analisis Kekeringan di DAS Sombe - Lewara Kabupaten Sigi . REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development, 5(2), 93-100. https://doi.org/10.22487/renstra.v5i2.669

Issue

Section

Articles

Most read articles by the same author(s)