Model-Model Pembangkitan Data Sintetis Untuk Curah Hujan Harian Di Wilayah Brantas Tengah

Authors

  • Widandi Soetopo Jurusan Teknik Pengairan Fakultas Teknik Universitas Brawijaya
  • Lily Montarcih Limantara Jurusan Teknik Pengairan Fakultas Teknik Universitas Brawijaya
  • Rini Wahyu Sayekti Jurusan Teknik Pengairan Fakultas Teknik Universitas Brawijaya
  • Endang Purwati Jurusan Teknik Pengairan Fakultas Teknik Universitas Brawijaya
  • Dian Chandrasasi Jurusan Teknik Pengairan Fakultas Teknik Universitas Brawijaya
  • Muhammad Ilham Jurusan Teknik Pengairan Fakultas Teknik, Universitas Brawijaya
  • Agung Rahmadi Jurusan Teknik Pengairan Fakultas Teknik, Universitas Brawijaya

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.

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Published

2015-12-17

How to Cite

Soetopo, W., Limantara, L. M., Sayekti, R. W., Purwati, E., Chandrasasi, D., Ilham, M., & Rahmadi, A. (2015). Model-Model Pembangkitan Data Sintetis Untuk Curah Hujan Harian Di Wilayah Brantas Tengah. Jurnal Teknik Pengairan: Journal of Water Resources Engineering, 6(1), pp.88–94. Retrieved from https://jurnalpengairan.ub.ac.id/index.php/jtp/article/view/230

Issue

Vol. 6 No. 1 (2015)

Section

Articles

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Copyright (c) 2015 Widandi Soetopo, Lily Montarcih Limantara, Rini Wahyu Sayekti, Endang Purwati, Dian Chandrasasi, Muhammad Ilham, Agung Rahmadi

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