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Doddi Yudianto
Department Of Civil Engineering, Faculty Of Engineering, Parahyangan Catholic University
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Social Sciences Transportation

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Journal : Journal of the Civil Engineering Forum

 1 
Application of TRMM Data to the Analysis of Water Availability and Flood Discharge in Duriangkang Dam Willy Willy; Bambang Adi Riyanto; Doddi Yudianto; Albert Wicaksono
Journal of the Civil Engineering Forum Vol. 6 No. 1 (January 2020)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.931 KB) | DOI: 10.22146/jcef.51521

Abstract

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.
Application of TRMM in the Hydrological Analysis of Upper Bengawan Solo River Basin Theo Senjaya; Doddi Yudianto; Xie Yuebo; Wanny K. Adidarma
Journal of the Civil Engineering Forum Vol. 6 No. 3 (September 2020)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.57125

Abstract

Rainfall is a major water resource with a significant role in terms of growth, environment concerns, and sustainability. Several human activities demand adequate water supply for drinking, agriculture, domestic, and commercial consumption. The accuracy of any hydrologic study depends heavily on the availability of good-quality precipitation estimates. Most countries are unable to provide sufficient climatic data, including rainfall and observed discharge statistics. This scarcity is a huge obstacle in conducting thorough hydrologic studies over a certain period. For instance, Indonesia, as an archipelagic country, has long been faced with data availability problems. For this reason, Tropical Rainfall Measuring Mission (TRMM), which was developed by NASA, became an alternative solution to rainfall data limitations. However, to be applied in hydrologic investigations, TRMM data require proper estimation and adjustment. The aim of this study was to evaluate the quality of TRMM rainfall data and its application in determining design flood and water availability. Dividing the data into several groups based on its magnitude and multiplying each unit with a correction coefficient are parts of the modification process. Subsequently, objective functions, including false alarm ratio (FAR), probability of detection (POD), and root mean square error (RMSE) were also applied. Rainfall-runoff modeling and design storm analysis at Delingan dam were used to study the TRMM correction performance. Based on the analysis, corrected TRMM showed considerable findings compared to ground station data.  Model calibration and verification using corrected TRMM data provide satisfactory model parameters compared to ground station derivatives. The results also disclosed a closer fit of the corrected TRMM to catchment response translated from derived rainfall-runoff model parameters to ground station compared to control.  Furthermore, design storm calculated from corrected TRMM reflects an improvement compared to uncorrected TRMM data. 
Co-Authors Adhita Prasetya Adidarma, Wanny Albert Wicaksono Andreas F. V. Roy Angela Grace Ariberto Jonathan Bambang Adi Riyanto Bambang Adi Riyanto Bobby Minola Ginting Cleon Christopher Cleon Christopher Cristobal, Jose EKo Winar Irianto Farrell Wiguna Farrell Wiguna Finna Fitriana Fiona, Megan Fitriana, Finna Gao, Cheng Guan, Yiquing Hidayat, Ivana Nathalia Irianto, Eko Winar Jonathan Wijaya Kent, Steven Kristianto, Yudha Primus Li, Qiaoling Li, Ren Polisar, Andrea Prasetya, Adhita Prasetya, Muhamad Demirel Prilla Lidyana Purwana, Okky Ahmad R. Wahyudi Triweko Rahmat Sudiana Robertus Wahyudi Triweko RW Triweko S Sanjaya S Sanjaya Sabu, Maria Kalista Hadia Sanjaya, S Sanjaya, Stephen Seo, Yong Chan Steven Kent Tandiono, Felix Theo Senjaya Theo Senjaya Tirza, Evely Triweko, Robertus Wahyudi Waluyo Hatmoko Wang, Qian Wanny K Adidarma Wanny K. Adidarma Wijaya, Obaja Triputera Willy Aulia Willy Willy Willy, Willy Wimordi, Calvin Wimordi, Calvin Xie Yuebo Xie Yuebo Xie Yuebo Yiqing, Guan Yiqing, Guan Yiquing Guan Yong Chan Seo Yuebo, Xie Zhang Xiuju