Yang Ratri Savitri
Institut Teknologi Sepuluh Nopember

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Journal : agregat

Analisis Sensitivitas dan Kalibrasi Model Hujan Debit 1D Menggunkan SWMM Dhimas Krisna Wardana; Yang Ratri Savitri; Anak Agung Ngurah Satria Damarnegara
AGREGAT Vol 11 No 1 (2026)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ag.v11i1.31659

Abstract

Rainfall-runoff modeling using the Storm Water Management Model (SWMM) is a widely adopted approach for representing urban drainage systems. In urban drainage modeling with SWMM, the accuracy of simulation results is greatly influenced by the sensitivity of model parameters and the calibration process that aligns with actual field conditions. Therefore, parameter sensitivity analysis is necessary to identify the parameters that most significantly affect simulation outcomes, so that an optimal model parameter configuration can be obtained to accurately represent actual flood conditions. This study aims to evaluate the performance of the SWMM model in representing rainfall-runoff processes in urban drainage systems based on sensitivity analysis and parameter calibration. Sensitivity analysis was conducted on several hydrological parameters, namely the Curve Number (CN), Manning's N, and the percentage of impervious area. The sensitive parameters identified were then used in the model calibration and validation process. Validation was evaluated qualitatively by comparing simulation results with actual conditions observed in the drainage network. The results of the sensitivity analysis indicate that the parameter with the greatest influence on surface runoff is the Curve Number (CN) at 5.3%, followed by the overland flow Manning's N at 2.0%, while the remaining parameters showed negligible effects. Regarding infiltration, CN demonstrated a dominant influence of 88.9%. Furthermore, the parameters affecting channel discharge were the channel Manning's coefficient at 42.3%, followed by overland flow N at 5.1% and CN at 2.2%. The calibration results confirm that the parameter configuration derived from the sensitivity analysis is capable of producing simulations that are consistent with actual field conditions.
MODEL HIDRODINAMIKA 1D-2D TERINTEGRASI UNTUK ANALISIS GENANGAN PADA SISTEM DRAINASE WONOREJO-RUNGKUT KOTA SURABAYA Irfan Adiputra Setiawan; Yang Ratri Savitri; Satria Damarnegara
AGREGAT Vol 11 No 1 (2026)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ag.v11i1.31673

Abstract

Urban flooding is one of the main problems in the city of Surabaya due to the increase in built-up areas and land use changes that affect the urban drainage system. Based on previous research using Analytical Hierarchy Process (AHP) method, Wonorejo primary channel and Rungkut primary channel have the highest flood management priority scale in Surabaya city with values of 0.55 and 0.53, respectively. These conditions indicate the urgency of developing a model of the distribution of puddles in the drainage system Wonorejo-Rungkut. This study aims to analyze the characteristics and distribution of inundation using an integrated 1D – 2D hydrodynamic model in the drainage system Wonorejo – Rungkut with rain re-period of 10 years. Hydrological analysis was conducted using annual maximum rainfall data for the period 2010-2024. Furthermore, rainfall plan of study area is determined through frequency distribution analysis and thiessen polygon method. Modeling is done by integrating one-dimensional flow (1D) in the drainage channel and two-dimensional flow (2D) on the land surface using PCSWMM software. Before the calibration process, mesh sensitivity and model parameters are analyzed to obtain optimal and computationally efficient simulation configuration. The results showed that the mesh size of 15 × 15 m with sampling factor 3 was chosen as the optimal configuration. Manning Overland parameters have the greatest influence on the flow velocity and depth of the puddle, while the curve number (CN) has the most influence on the area and volume of the puddle. The calibration results of the model showed a Root Mean Square Error (RMSE) of 2.43 cm and Nash–Sutcliffe Efficiency (NSE) of 89.16%, so that the model is able to represent the puddle conditions well. The simulation results showed that inundation with a depth of more than 30 cm concentrated on the eastern side of the study area dominated by ponds, while residential areas dominated by inundation with a depth of less than 20 cm. Inundation in the settlement area is affected by the influence of backwater due to high water levels in the primary channel that causes the retention of flow in the secondary and tertiary channels
Pemodelan Hujan–Debit dan Genangan 2D untuk Analisis Banjir pada DAS Buntung, Kabupaten Sidoarjo Nur Izzah Elsa Nanda; Yang Ratri Savitri; Mahendra Andiek Maulana
AGREGAT Vol 11 No 1 (2026)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ag.v11i1.31715

Abstract

Flooding is the most frequent natural disaster in Indonesia, accounting for 55.07% of national disasters. Sidoarjo Regency, particularly Waru District, is highly vulnerable to flooding caused by the overflow of the Buntung River. Flood inundation in the area may persist for up to two days with water depths reaching 30–40 cm. Rapid development of residential, industrial, and transportation areas within the Buntung Watershed has reduced infiltration capacity, while high rainfall intensity, tidal fluctuations, and downstream channel constriction further aggravate flooding conditions. Therefore, the development of a flood inundation model is essential to support effective flood mitigation planning.This study aims to analyze flood characteristics and inundation distribution for selected return periods. Hydrological analysis was conducted using annual maximum rainfall data from 2013–2024. Areal rainfall was determined using the Thiessen Polygon method and frequency distribution analysis. Rainfall–runoff modeling was performed using HEC-HMS to estimate flood discharge, while 2D inundation modeling was carried out using HEC-RAS 2D. Sensitivity analyses of mesh size, computation interval, and model parameters were performed prior to calibration to obtain an optimal and computationally efficient configuration.The results show that a 30 m mesh size and a 10-second computation interval provide the optimal simulation configuration. The Manning parameter has the greatest influence on inundation extent and flood depth. Model calibration produced NSE values of 0,724 respectively, indicating good model performance. The simulation results show that the 10-year return period flood inundation is predominantly characterized by water depths of <10 cm, accounting for 26.32% of the inundated area, followed by depths of 10–20 cm (22.58%), 20–30 cm (17.38%), 30–50 cm (22.27%), and >50 cm (11.45%). The inundation with depths greater than 50 cm is predominantly distributed in the downstream area of the Buntung River, which is influenced by tidal conditions.