Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Journal of the Civil Engineering Forum

Mapping of Mount Semeru Volcanic Mudflow Susceptibility Along the Rejali River using the GIS-based AHP-TOPSIS Ensemble Approach Sonia Oktariyanti; Entin Hidayah; Saifurridzal; Mokhammad Farid Ma'ruf; Nunung Nuring Hayati; Zulkifli Yusop
Journal of the Civil Engineering Forum Vol. 9 No. 3 (September 2023)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.6691

Abstract

Volcanic mudflow floods occur when rainfall runoff combines with volcanic material and flows downstream. These devastating events cause significant damage to infrastructure, disrupt economies, and result in injuries and casualties. One area where the flow of volcanic material greatly affects the situation is the Rejali River, which receives a substantial amount of volcanic debris from Mount Semeru. To address this issue and begin mitigating the associated risks, it is crucial to start by mapping the potential distribution of volcanic mudflow floods. Therefore, this study aimed to assess factors impacting volcanic mudflow flood susceptibility and to create a corresponding susceptibility map. The study employed the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the influence of various factors and classify the areas, respectively. These methods were integrated with the Geographic Information System (GIS) to enhance the analysis. The weighted analysis results showed that the most impactful factors conditioning volcanic mudflow floods, in descending order, were rainfall (42.40%), land cover (13.89%), elevation (13.39%), slope (12.51%), distance from the river (7.09%), soil type (6.58%), and rock distribution (4.13%). The TOPSIS calculation further highlighted that rainfall intensity between 104.03 and 109.65 mm day-1 had the greatest influence on susceptibility. The successful integration of AHP and TOPSIS methods with GIS helped develop a volcanic mudflow flood susceptibility model with an outstanding accuracy of 0.969. The model showed that approximately 46.40% of the areas along the Rejali River exhibited very high susceptibility to volcanic mudflow floods, while an additional 16.21% indicated high susceptibility and substantial risk in most regions. Therefore, the generated susceptibility map offered important insights for shaping future mitigation strategies and influencing policy decisions.
Mapping the Lava Flood Hazard Using the Flood Discharge Approach and 2D Hydrodynamic Modeling at the Rejali River, Mount Semeru Prawira, Akbar Bagus; Hidayah, Entin; Wiyono, Retno Utami Agung
Journal of the Civil Engineering Forum Vol. 10 No. 2 (May 2024)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.8463

Abstract

In December 2021, Mount Semeru experienced an eruption accompanied by extreme rainfall, which resulted in lava floods, known as lahars or debris flows. The lava flood destroyed infrastructure, resulting in loss of life. Various rivers surrounding Mount Semeru, including the Rejali River, experienced the effects of this phenomenon. To address this, a study is needed to analyze the occurrence and frequency of lava floods over specific time intervals through the creation of a hazard map. This study aims to map the hazard of lava floods for various return periods using a coupled HEC-HMS and HEC-RAS software alongside a lava flood discharge approach. The HEC-HMS software is used to simulate hydrological processes, to obtain the lava flood discharge, while the HEC-RAS is used to model a two-dimensional (2D) lava flood hazard map. The input parameters of the modeling in this study are rainfall intensity, soil type, land cover, river distance, slope, and elevation. The results show that the flood area covers 9.55% of the total study area by 2 year return period (Q2), 11.80% by Q10, 14.10% by Q50, and 15.72% by Q200 with an overall validation Root Mean Square Error (RMSE) of 0.16. These changes are determined by the discharge volume from each return phase and the river's shallow depth, which causes overflow beyond the river's ability to accommodate the flow. Thus, this study suggests that the models successfully generated a reliable model for mapping the risk of lava floods on the Rejali River. These findings can help the government reduce disaster losses through adequate adaptation and mitigation initiatives.
Bioretention Design Simulation for Efficient Urban Stormwater Reduction Wicaksono, Ega Fajar; Hidayah, Entin; Fildzah, Cantika Almas
Journal of the Civil Engineering Forum Vol. 11 No. 1 (January 2025)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.12806

Abstract

The population increases, leading to extensive urbanization and the consequent rise in impervious surfaces. This urbanization trend has exacerbated stormwater runoff issues, necessitating sustainable stormwater management strategies. Low Impact Development (LID) techniques, such as bioretention, have emerged as promising solutions to mitigate the adverse effects of increased impervious surfaces on stormwater management. Through drainage simulation using EPA SWMM 5.2 software, this study assessed the effectiveness of bioretention in mitigating stormwater runoff within Pesona Regency Housing in Jember Regency. In this approach, hydrological techniques use rainfall for a 2-year return period based on the typology of the study area. The bioretention scenarios used coverage of 5%, 10%, and 20% of the subcatchment area as Scenario 1, 2, and 3. The simulation revealed promising reductions in peak runoff discharge across various scenarios, with average reduction rates of 80%, 88%, and 92% for Scenarios 1, 2, and 3, respectively. However, the effectiveness of bioretention varied across different junctions and scenarios due to factors such as location, junction area coverage, soil properties, and local drainage patterns. While larger bioretention areas generally resulted in greater runoff reduction, the study underscores the importance of considering location and cost-effectiveness in bioretention design. Overall, this research provides valuable insights into the efficacy of bioretention as a stormwater management strategy in rapidly urbanizing areas, offering guidance for property developers in planning flood-resistant housing with LID bioretention.
Exploring Hydraulic Behavior of Weir Using HEC-RAS at Semangir River Jember Regency Retnaningtias, Sefti Aryani; Hidayah, Entin; Halik, Gusfan
Journal of the Civil Engineering Forum Vol. 11 No. 2 (May 2025)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.14395

Abstract

Flooding significantly impacts communities living along riverbanks, causing severe damage to infrastructure and properties. The flood event on January 9, 2022, in Bumi Mangli Permai and Mangli Residence Housing, heavily damaged access roads. Effective flood control is essential to mitigate these risks, and one viable solution is the implementation of long storage systems, particularly motion weirs. This study explores the hydraulic behavior of the Semangir River in Jember Regency using the HEC-RAS program to model both fixed and motion weirs. Utilizing the SUH Nakayasu method, peak discharges for 25-year, 50-year, and 100-year return periods were estimated. The analysis revealed that the existing weir's design is inadequate for the 50-year return period. However, simulations indicate that a motion weir with gate dimensions of 1.5 m x 1.75 m offers improved hydraulic conditions, reducing water surface elevation and flow velocity compared to both the existing and initially planned weirs. These findings support the adoption of motion weirs as an effective flood control strategy for the Semangir River.