Application of TRMM Data to the Analysis of Water Availability and Flood Discharge in Duriangkang Dam

Willy Willy(1*), Bambang Adi Riyanto(2), Doddi Yudianto(3), Albert Wicaksono(4)

(1) Universitas Parahyangan
(2) Department of Civil Engineering, Parahyangan Catholic University
(3) Department of Civil Engineering, Parahyangan Catholic University
(4) Department of Civil Engineering, Parahyangan Catholic University
(*) Corresponding Author


One of the challenges in hydrologic modelling in Indonesia is data limitation. Rainfall data quality is rarely evaluated, and in some cases, the data are unavailable. The Tropical Rainfall Measuring Mission (TRMM), satellite rainfall data provided by NASA, is an alternative method to solve such problems. This study aims to promote the use of TRMM data to analyze water availability and flood discharge in Duriangkang Dam, Batam City, Indonesia, in comparison with the use of available ground station data. Results show that the ground station data contain some errors; however, overall, the data show similar patterns and acceptable differences compared with the TRMM data. The NRECA and HEC-HMS models are used to analyze water availability, and both models are calibrated using the available reservoir water level data. The NRECA model generally shows a good fit of monthly discharge, although the use of TRMM results in slightly overestimated values in dry years. Similar results are obtained for daily discharge computation using the HEC-HMS model. Water availability analysis using the TRMM data shows an acceptable margin of error. When flood discharge is computed using an uncalibrated HEC-HMS model, the TRMM data somehow yield a lower maximum daily rainfall value than the ground station data. As a result, the obtained 10,000-year flood calculated using the Hang Nadim Station and TRMM data are 1,086 and 624 m3/s, respectively. Therefore, the use of corrected TRMM data in flood discharge computation is essential but increases the value up to 897 m3/s.


TRMM; water availability analysis; flood discharge computation; Duriangkang Dam

Full Text:



CDPP Consortium, 1991. Duriangkang Water Supply Scheme.

Fritz, J.J., 1984. Small and Mini Hydropower Systems. McGraw-Hill.

Huffman, G.J., Pendergrass, A. and National Center for Atmospheric Research Staff (Eds), 2019. The Climate Data Guide: TRMM: Tropical Rainfall Measuring Mission.

Hur, J., Raghavan, S. V., Nguyen, N.S. and Liong, S.Y., 2016. Evaluation of High-resolution Satellite Rainfall Data over Singapore. Procedia Engineering, 154, pp.158–167.

Indonesia–Malaysia–Thailand Growth Triangle, 2016. Green City Action Plan City of Batam.

Mamenun, Pawitan, H. and Sophaheluwakan, A., 2014. Validasi dan koreksi data satelit TRMM pada tiga pola hujan di Indonesia (Validation and correction of TRMM satellite data on three rainfall patterns in Indonesia). Jurnal Meteorologi dan Geofisika, 15(1), pp.13–23.

PT. Caturbina Guna Persada, 2018. Final Report of Special Study of Duriangkang Dam.

Sofiati, I. and Avia, L.Q., 2018. Analysis of Rainfall Data based on GSMaP and TRMM towards Observations Data in Yogyakarta. IOP Conference Series: Earth and Environmental Science, 166(1).

Tan, M.L. and Duan, Z., 2017. Assessment of GPM and TRMM precipitation products over Singapore. Remote Sensing, 9(7).

Vernimmen, R.R.E., Hooijer, A., Mamenun, Aldrian, E. and Van Dijk, A.I.J.M., 2012. Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia. Hydrology and Earth System Sciences, 16(1), pp.133–146.

Wicaksono, A., Willy and Riyanto, B.A., 2018. Evaluation of Capacity of Duriangkang Estuary Dam to Control Flood Flow.

Yudianto, D., Willy and Riyanto, B.A., 2019. Management of Estuary Dam of Duriangkang to Enhance Water Security in Batam City R2.


Article Metrics

Abstract views : 2083 | views : 2406


  • There are currently no refbacks.

Copyright (c) 2022 The Author(s)

The content of this website is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
ISSN 5249-5925 (online) | ISSN 2581-1037 (print)
Jl. Grafika No.2 Kampus UGM, Yogyakarta 55281
Email :
Web Analytics JCEF Stats