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Edijatno Edijatno
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DAS Ampal Analisa Fungsi dan Pengaruh Bangunan Pengendali Banjir DAS Ampal Kota Balikpapan Kadar Yanti, Rossana Margaret; Edijatno, Edijatno; Lasminto, Umboro
Specta Journal Vol 2 No 3 (2018): SPECTA Journal of Technology
Publisher : Specta Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.979 KB) | DOI: 10.0610/specta.v2i3.10

Abstract

Ampal Catchment Area has 25.273 km2 area and 4.699 km main river length, which planned to have 13 flood control construction. Until 2017, this catchment area has only three flood control construction. The watershed has only three built-in batters that are used to reduce the amount of flood discharge flowing on the Ampal river. Based on these conditions, it is necessary to analyze the magnitude of the difference of flood peak discharge on the existing condition (three bendali) compared with the condition of the plan (thirteen bendali). Therefore, analyzed the function and influence of flood control construction in Ampal Catchment Area by counting the flood peak discharge in each condition. From the analysis result, obtained the amount of peak discharge flowing in Ampal river existing condition is equal to 170,40 m3/s while at the condition of plan is equal to 83,80 m3/s. From the results of analysis, it is stated that the magnitude of the decrease of debit (?Q) after all the builds is 86.60 m3/s.
DAS Ampal Analisa Fungsi dan Pengaruh Bangunan Pengendali Banjir DAS Ampal Kota Balikpapan Kadar Yanti, Rossana Margaret; Edijatno, Edijatno; Lasminto, Umboro
SPECTA Journal of Technology Vol 2 No 3 (2018): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.979 KB) | DOI: 10.35718/specta.v2i3.10

Abstract

Ampal Catchment Area has 25.273 km2 area and 4.699 km main river length, which planned to have 13 flood control construction. Until 2017, this catchment area has only three flood control construction. The watershed has only three built-in batters that are used to reduce the amount of flood discharge flowing on the Ampal river. Based on these conditions, it is necessary to analyze the magnitude of the difference of flood peak discharge on the existing condition (three bendali) compared with the condition of the plan (thirteen bendali). Therefore, analyzed the function and influence of flood control construction in Ampal Catchment Area by counting the flood peak discharge in each condition. From the analysis result, obtained the amount of peak discharge flowing in Ampal river existing condition is equal to 170,40 m3/s while at the condition of plan is equal to 83,80 m3/s. From the results of analysis, it is stated that the magnitude of the decrease of debit (?Q) after all the builds is 86.60 m3/s.
Evaluating Error of Temporal Disaggregation from Daily into Hourly Rainfall using Heytos Model at Sampean Catchments Area Hidayah, Entin; Anwar, Nadjadji; Edijatno, Edijatno; Iriawan, Nur
IPTEK The Journal for Technology and Science Vol 21, No 1 (2010)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v21i1.25

Abstract

Developing a rainfall-runoff model sufficient to flood prediction hourly rainfall data. Lack of automatic rain gauge for high resolution rainfall in catchment area can be an obstacle for the modeling. Otherwise, the manual rain gauges may spread on all of catchments areas, providing daily rainfall. Daily rainfall disaggregation to hourly rainfall is an innovation to get higher temporal resolution of the rainfall. This paper attempts to evaluate the implementation of rainfall disaggregation model in Sampean Catchments Area using Heytos. The proposed parameter optimation use Moment Performance model that tested by calibrating it with available hourly data. The results of model indicated that only data within five months had good performance. The estimation result showed that relative error total of January, February, August, November, and December was less than one. In case of March, April, May, June, July, September, and October the model could not result respectively to generate model.
Co-Authors Entin Hidayah Nadjadji Anwar Nur Iriawan Rossana Margaret Kadar Yanti Umboro Lasminto