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Evaluation of Catchment area delineation Methods: Comparison of TOPAZ on WMS with HEC-HMS 4.12 Setiyowati, Yunita Ayu; Harisuseno, Donny; Sajali, M. Amar
Geosfera Indonesia Vol. 10 No. 2 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i2.53253

Abstract

The delineation of catchment areas plays a crucial role in hydrological modeling, influencing water resource management and flood analysis. However, differences in Digital Elevation Model (DEM) resolutions and processing methods can significantly affect the accuracy of delineation results. This study aims to evaluate the differences in catchment area delineation using Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) 4.12 and Watershed Modeling System (WMS) TOPAZ across three DEM resolutions: DEMNAS (8.29 m), ASTER (30 m), and SRTM (90 m). The methodology involves processing DEM data using both software tools, comparing catchment area, main river length, and basin length derived from each resolution. The analysis reveals that higher DEM resolution results in greater similarity between the two methods. At an SRTM resolution of 90 m, the delineated catchment area is 1474.41 km² (WMS) and 1468.03 km² (HEC-HMS), whereas at an 8.29 m DEMNAS resolution, it is 1462.64 km² (WMS) and 1462.91 km² (HEC-HMS). Additionally, significant differences are observed in the main river length, with 44,368.54 m (WMS) and 34,960.17 m (HEC-HMS) at 90 m resolution, and 58,195.71 m (WMS) and 42,537.38 m (HEC-HMS) at 8.29 m resolution. These findings highlight the importance of selecting an appropriate DEM resolution to ensure accurate and consistent hydrological delineation.
Comparison of Correlation, PBIAS and RSR between Monthly, Daily, and Hourly GPM Rainfall Data Setiyowati, Yunita Ayu; Harisuseno, Donny; Sajali, M. Amar
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.11068

Abstract

Accurate precipitation data is critical for hydrological modeling, flood forecasting, and water resources planning. This study evaluates the performance of satellite-based rainfall estimates from the Integrated Multi-satellite Retrievals for GPM (IMERG) Final Run Version 06 by comparing them with ground-based observations from six stations in the Jatigede Reservoir catchment, West Java, Indonesia. The analysis covers the 2014–2023 period, aligning with the reliable availability of IMERG Final Run products, and examines three temporal resolutions: monthly, daily, and hourly. Statistical evaluation employed Pearson correlation coefficient (r), the ratio of RMSE to observed standard deviation (RSR), and Percent Bias (PBIAS). Results show strong agreement at the monthly scale (r = 0.84, RSR = 0.34, PBIAS ≈ +24%), suggesting suitability for long-term water resource assessments. However, performance declines at shorter timescales. At the daily scale, IMERG underestimates rainfall (PBIAS ≈ -27%) with moderate correlation (r = 0.24). The hourly scale shows the poorest performance (r = 0.10, RSR > 3.0, PBIAS < -50%), indicating limitations in capturing short-duration, high-intensity rainfall typical in tropical regions. These findings underscore the importance of temporal aggregation and bias correction when applying IMERG data for operational hydrology and flood modeling
Perbandingan Pola Distribusi Hujan GPM dan ARR dalam Simulasi Banjir Desain Setiyowati, Yunita Ayu; Harisuseno, Donny; Sajali, M. Amar
MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025
Publisher : Department of Civil Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/mkts.v31i1.72441

Abstract

This study evaluates the performance of Global Precipitation Measurement (GPM) satellite-based rainfall data in comparison to Automatic Rainfall Recorder (ARR) data in forming rainfall distribution patterns and assessing its impact on flood discharge simulation using the HEC-HMS model. Statistical validation was conducted using the Pearson Correlation Coefficient, the ratio of standard deviation of observations to RMSE (RSR), Percent Bias (PBIAS), and Mean Absolute Percentage Error (MAPE). The results show that GPM has a strong correlation with ARR (r = 0.875) and a low RSR value (RSR= 0.256), yet it exhibits a notable negative bias (PBIAS = –24.41%), indicating an underestimation of rainfall values. In contrast, simulations using ARR rainfall patterns produce peak discharges that closely match actual discharge records at the Jatigede Dam outlet, with an average deviation of less than 3% and a MAPE of 1.17%, categorized as very good. The GPM simulation produces peak discharges 13–16% higher than actual observations, with a MAPE of 14.53%, which still falls into the good category. These results suggest that while ARR provides higher accuracy, GPM remains a viable alternative source, especially in data-scarce areas, provided that appropriate calibration methods such as bias correction are applied. This study supports future research in satellite data calibration using machine learning and multivariate statistical approaches.
Studi Kelayakan Pengadaan Tanah guna Penanggulangan Banjir pada Sungai Kali Lamong Kabupaten Gresik Setiyowati, Yunita Ayu; Sholichin, Moh; Prayogo, Tri Budi
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 2 No. 1 (2022): Jurnal Teknologi dan Rekayasa Sumber Daya Air (JTRESDA)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtresda.2022.002.01.15

Abstract

Banjir merupakan masalah yang rutin dialami oleh masyarakat di wilayah Sungai Kali Lamong, khususnya di Desa Jono dan Desa Tambakberas, Kecamatan Cerme, Kabupaten Gresik. Oleh sebab itu untuk mengurangi masalah banjir, diperlukan pembangunan tanggul. Akan tetapi, pembangunan tanggul memerlukan adanya pengadaan tanah pada lokasi yang direncanakan. Tujuan dari studi ini adalah melakukan analisa banjir dengan program HEC-RAS, melakukan studi kelayakan terhadap pembangunan tanggul yang meliputi kelayakan ekonomi, analisa dampak lingkungan, dan memperkirakan pengadaan tanah yang diperlukan untuk pembangunan tanggul. Dari analisa hidrologi dengan menggunakan Hidrograf Satuan Sintesis (HSS) Nakayasu, debit yang digunakan dalam perencanaan tanggul adalah Q10 = 346.81 m3/dt. Lalu dilakukan running dengan HEC-RAS dan didapatkan dimensi tanggul parapet beton yang mampu mengatasi banjir dengan dimensi H = 3,5m. Pembangunan tanggul memerlukan  nilai biaya (cost) sebesar Rp. 23.090.600.000,- dan manfaat (benefit) yang didapat dari pembangunan tanggul sebesar Rp. 23.954.706.640, sehingga nilai BCR 1.04, NPV  0.78, dan IRR 17%. Sehingga secara ekonomi, pembangunan tanggul layak untuk dilakukan. Berdasarkan hasil penapisan, pembangunan tanggul ini tidak memerlukan AMDAL secara lengkap, namun hanya perlu UKL dan UPL yang berisi dampak, besaran dampak, tujuan pengelolaan, upaya pengelolaan lingkungan hidup, dan lokasi pengelolaan.  
Comparative Analysis of Rainfall Patterns in Jatigede Watershed Using the Huff Method Setiyowati, Yunita Ayu; Harisuseno, Donny; Sajali, M. Amar
Jurnal Teknik Pengairan: Journal of Water Resources Engineering Vol. 16 No. 2 (2025)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pengairan.2025.016.02.5

Abstract

The temporal distribution of rainfall plays a vital role in hydrological analysis, particularly in estimating peak flood discharge, which significantly impacts the design of flood control infrastructure. Understanding rainfall distribution patterns is essential for improving flood forecasting and water resource management. This study aims to compare the rainfall distribution patterns in the Jatigede Watershed (DAS Jatigede) using the Huff Quartile 1 to 4 method. Hourly rainfall data were collected from six rainfall stations: Bayongbong, Cikajang, Darmaraja, Jatigede, Leuwigintung, and Sadawangi, with Ground Station data used for validation. The analysis revealed that rainfall in the Jatigede Watershed is steeper than Huff Quartile 1, with peak intensity occurring earlier during events, indicating a high concentration of rainfall at the beginning of storms, which may affect flood peak formation and watershed response time. These findings underscore the need to adjust hydrological models to better reflect actual rainfall distribution. However, the study has limitations, including a relatively small number of observation stations, potential inaccuracies in rainfall measurements, and the Huff method’s limited ability to capture spatial rainfall variability. Addressing these limitations in future research is essential for enhancing flood risk assessment and hydrological modeling accuracy in the Jatigede Watershed.