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All Journal Jurnal Teknik Pengairan: Journal of Water Resources Engineering Jurnal Teknik Sumber Daya Air
Ery Suhartanto
Jurusan Teknik Pengairan Fakultas Teknik Universitas Brawijaya
Civil Engineering, Building, Construction & Architecture Energy Engineering Environmental Science

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Journal : Jurnal Teknik Pengairan: Journal of Water Resources Engineering

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Analisis Kekeringan Pada Daerah Aliran Sungai (DAS) Bedadung Berbasis Sistem Informasi Geografis (SIG) Ainur Rofiq Kurniawan; M Bisri; Ery Suhartanto
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 10 No. 2 (2019)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2019.010.02.03

Abstract

The reduced of water availability toward the needs is one thing that indicates the occurrence of a drought. The drought has received more attention from Government of Jember Regency in the form of a drought disaster area management direction. The location of this research is in the Bedadung River Basin with 13 rainfall station located in the upstream of Rowotamtu AWLR Station. Drought analysis uses the Palmer Drought Severity Index method in the form of index that informs the level of drought in an area. The results of the study showed that drought with extreme dry classification occurs from June to October with drought index values ranging from -1,82 (on June) to -14,14 (on October). Patrang, Jelbuk, Arjasa and Panti sub-districts are areas that have experienced drought with a duration of 5 months. Palmer method meteorological drought index and hydrological drought index (value of AWLR Discharge Standardized Box Cox Transformation (Z)) have unidirectional relationship and high degree of relationship, with the Pearson correlation coefficient, r = 0,91
Analisa Limpasan Berdasarkan Curah Hujan Menggunakan Model Artifical Neural Network (ANN) di Sub Das Brantas Hulu Ery Suhartanto; Evi Nur Cahya; Lu'luil Maknun
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 10 No. 2 (2019)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2019.010.02.07

Abstract

Discharge data is usually less available than rainfall data, so it is necessary to find a relationship between river flows that are applied in the period available rainfall data in a watershed area. The purpose of this study is to determine the suitability of the method based on the analysis of data validation between the observed discharge and the model discharge. The method is done by modeling the discharge based on rainfall with the Artificial Neural Network (ANN) MATLAB R2014b program. The Upper Brantas Watershed is used as a case study because it often has runoff problems. Validation of the ANN method was tested with Root Mean Square Error (RMSE), Nash-Sutcliffe Efficiency (NSE), Correlation Coefficient (R) and Relative Error (KR). From the results of calibration using the ANN Model, the best data is found in the five years data of epoch 500. Verification results based on the value of R have a relatively good relationship between observation discharges with model discharges. The validation results show the validity in a year data of epoch 500.
Co-Authors Ainur Rofiq Kurniawan Ari Murdhianti Chintya Ayu Permata Herdita Donny Harisuseno Evi Nur Cahya Lu'luil Maknun M Bisri