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All Journal Jurnal Teknik Pengairan: Journal of Water Resources Engineering
Agung Rahmadi
Universitas Ahmad Dahlan
Engineering

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Model-Model Pembangkitan Data Sintetis Untuk Curah Hujan Harian Di Wilayah Brantas Tengah Soetopo, Widandi; Limantara, Lily Montarcih; Sayekti, Rini Wahyu; Purwati, Endang; Chandrasasi, Dian; Ilham, Muhammad; Rahmadi, Agung
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol 4, No 1 (2013)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

This research is for finding the suitable the synthetic data generating model for daily rainfall in the region of Middle Brantas River Basin in the East Java Province. There are 7 models being considered, 4 models for single-site generation, (1) the two-part, model group, (2) the transition probability matrix model group, (3) the resampling model group, and (4) the time series model group, and 3 models for multisite generation, (5) the conditional, model group, (6) the extension of single site Markov chain model group, and (7) the random cascade model group. All of the time-series produced by the daily rainfall synthetic data generation are then tested statistically. The results show that statistically the differences between the historical time series and the synthetically time series are not too significant. It turn out that the multisite model have produced better synthetic time series compared to those which have been produced by the single-site models.Keywords: generating model, synthetic data, daily rainfall.
Model-Model Pembangkitan Data Sintetis Untuk Curah Hujan Harian Di Wilayah Brantas Tengah Soetopo, Widandi; Limantara, Lily Montarcih; Sayekti, Rini Wahyu; Purwati, Endang; Chandrasasi, Dian; Ilham, Muhammad; Rahmadi, Agung
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol 6, No 1 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (255.741 KB)

Abstract

This research is for finding the suitable synthetic daily rainfall generating model in the Middle Brantas River Basin - East Java. There are 7 models being considered, 4 single-site models, (1) the two-part, (2) the transition probability matrix, (3) the resampling, and (4) the time series, and 3 multisite models, (5) the conditional, (6) the extension of single site Markov chain, and (7) the random cascade. All time-series produced by the models are then tested statistically. The results show that the differences between the historial time series and the synthetical time series are not too significant. It turn out that the synthetic time series of multisite models are better than the synthetic time series of single-site models.Keywords: generating model, synthetic data, daily rainfall.
Co-Authors Dian Chandrasasi Endang Purwati RN Lily Montarcih Limantara Muhammad Ilham Rini Wahyu Sayekti Widandi Soetopo