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All Journal REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development
Andiesse, V.W.
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Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Engineering Environmental Science Transportation

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Penerapan Metode SPI untuk Analisis Kekeringan di DAS Sombe - Lewara Kabupaten Sigi Andiesse, V.W.; Lipu, S.; Setiawan, A.; Rustiati, N.B.; Oktavia, S.R.; Amaliah, T.; Tandiseru, I.F.
REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development Vol. 5 Issue 2 (September 2024)
Publisher : Civil Engineering Department, Tadulako University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/renstra.v5i2.669

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.
Analisis Debit Air Limpasan Permukaan Akibar Perubahan Tata Guna Lahan Pada Daerah Aliran Sungai Bangga Andiesse, V.W.; Sutapa, I.W.; Tunas, I.G.
REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development Vol. 6 Issue 1 (March 2025)
Publisher : Civil Engineering Department, Tadulako University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/renstra.v6i1.700

Abstract

Surface runoff is rainwater that cannot be retained by soil, vegetation or basins and eventually flows directly into rivers or the sea. The amount of surface runoff determines the amount of damage caused by erosion and flooding. The amount of surface flow is influenced by rainfall, vegetation (land cover), the presence of water storage buildings and other factors. Damage to watersheds can cause various disasters, namely floods, droughts and landslides. The Bangga watershed has an area of 61,0561 km2 and has a river length of 20.7 km. Das Bangga has also experienced flash floods and mudflows in 2019 which caused 500 houses to be flooded and residents died after being washed away by the flood. The purpose of the study was to calculate runoff in the Bangga River watershed using the SCS-CN method. In this study the data used is secondary data, namely Rainfall data taken from the Upper Bangga and Lower Bangga stations and Land Use Maps and Soil Type Maps.  The period of secondary data used in 2018-2021. Land use and soil types are analyzed from land use maps and soil type data obtained. Map analysis was carried out using ArcGIS Software by making an overlay between the land cover map and the soil type map.  The second result of this analysis is the area of each type of land use and soil type hydrology group and its distribution in the Bangga watershed.  Based on the results of the analysis, the runoff using the SCS method obtained the maximum result in 2019 of 29,222 mm with a runoff volume of  1.784.155,751 m3, and the minimum runoff in 2018 of 0,072 mm with a runoff volume of 4.375,573085 m3. The occurrence of Land Use changes, climate change and human treatment of the environment can affect runoff.
Co-Authors A. Setiawan Amaliah, T. Lipu, S. Oktavia, S.R. Rustiati, N.B. Sutapa, I.W. Tandiseru, I.F. Tunas, I.G.