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Studi Pemisahan Aliran Dasar Metode Local Minimum Method Daerah Aliran Sungai Miu Oktavia, S.R.; Mantika, O.A.; Rugaiyah, Rugaiyah
REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development Vol. 2, Issue 2 (September 2021)
Publisher : Civil Engineering Department, Tadulako University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/renstra.v2i2.336

Abstract

The two main elements of a river flow hydrograph are direct runoff and baseflow. Base flow is a flow that comes from groundwater and it is available during the rainy and dry seasons. Information of baseflow value of a watershed has an important meaning in efforts to develop and manage water resources, including the provision of clean water, irrigation systems, flood management and others. Miu watershed located in Sigi Regency often experiences natural disasters such as floods and droughts that occur almost every year, which is the research location with an area of 65,452.01 Ha. This study aims to determine the value of baseflow using the Local Minimum Method and to find out whether this method can be used for baseflow modeling in research watersheds. This study was conducted using Hydro Office software with input data in the form of daily discharge data from 2004 to 2013. The average baseflow value obtained was 5.43 m3/s. The process of calibrating the baseflow value by taking flow data in the dry season where there is no rainfall input. It is obtained that BFI have value an average of 0.89. This value indicates that the Miu watershed has high storage permeability characteristics, The Miu watershed has quite stable flow during dry periods, because the greater the BFI value, the better the water supply in a watershed. In the statistical test, the observed discharge is the discharge data from the measurement results for the period 2004-2013, while the calculated discharge is the result of the estimated base flow value obtained using the graphical method. From the results of the statistical test of RMSE and R2, the RMSE value was 0.147 and the R2 value was 0.751. Both statistical tests show that the local minimum method has a fairly good performance in modeling the base flow in the Miu watershed.
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 : 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 Penggunaan Lengkung Durasi Aliran (Flow Duration Curve) Untuk Mengetahui Debit Andalan di Sungai Sidoan Kabupaten Parigi Moutong Oktavia, S.R.; Hidayat, N.; Marampa, M.M.
REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development Vol. 6 Issue 2 (September 2025)
Publisher : Tadulako University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/renstra.v6i2.745

Abstract

Limited hydrological information in the form of discharge data on a river or watershed can hinder the process of developing water resources in the area. Based on discharge data recorded at the Sidoan Weir, site in Parigi Moutong Regency, the river has the potential to be used for various purposes, such as irrigation, micro-hydro power plants, raw water, and thus. This study aims to determine the similarity between measured discharge data and calculated discharge data on the Sidoan River, as well as to determine the reliable discharge on the Sidoan River. The data used in this study are climatological data, rainfall data, and discharge data (2011-2020), including a map of the Sidoan watershed. Evapotranspiration analysis was performed using the Modified Penman Method. Measured discharge data was used to determine the similarity with calculated discharge, which was analyzed using the F.J. Mock Method. The Flow Duration Curve (FDC) method was used to analyze the amount of reliable discharge. The results of the study show that the average evapotranspiration value ranges from 100 to 150 mm/month. The parameters used in the water availability analysis with the F.J. Mock method were watershed parameters optimized with a correlation coefficient between measured and calculated discharge of 0.78. The results of the study show that the RMSE values before and after optimization of the watershed parameters are 4.16 and 2.76, respectively. The calculation validation was performed using Mean Absolute Error (MAE). The FDC results show that the 80% - 90% reliable discharge is 0.251 m3/second - 0.150 m3/second, while the 50% reliable discharge is 0.860 m3/second. These results can provide an overview of water availability that can be used for water resource development and management