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Journal : Journal of the Civil Engineering Forum

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.
Assessment of Climate Change Impact for Water Scarcity in Semajid Watershed, Pamekasan, East Java Halik, Gusfan; Priyanto, Agil; Wiyono, Retno Utami Agung
Journal of the Civil Engineering Forum Vol. 12 No. 2 (May 2026)
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.18841

Abstract

The increase in global temperature has caused climate change, resulting in changes in the distribution of rainfall patterns, seasonal shifts, changes in water availability, and water scarcity. At present, water scarcity in Semajid watershed in Pamekasan Regency is increasing with climate change. Water scarcity will be increasingly difficult to predict due to highly complex dynamics of atmospheric circulation and local climate phenomena such as El Niño-Southern Oscillation (ENSO). This research aims to develop an assessment model to evaluate the impact of climate change on water scarcity using the Semajid watershed of Pamekasan Regency as a case study. The prediction of water scarcity is based on atmospheric circulation dynamics data from the General Circulation Model (GCM-MIROC5) under different climate change scenarios namely Representative Concentration Pathways (RCP). A statistical downscaling model was developed to overcome the limited resolution of the GCM output. The rainfall prediction model was developed using a deep learning-based downscaling model i.e. Long-Short Term Memory (LSTM), while streamflow or water availability prediction was conducted using the Soil Water Assessment Tools (SWAT) model. The Standardized Precipitation Index (SPI) and the Water Scarcity Index (WSI) were used to assess water scarcity. The results showed that the LSTM-based downscaling model provided satisfactory rainfall predictions under different climate change scenarios (RCP) with a reliability average of R2 = 0.741. The SWAT model results also provided satisfactory predictions of water availability with an average reliability of R2 = 0.668. The assessment of water scarcity using SPI and WSI indices showed that water scarcity ranged from moderate to high levels and coincided with the occurrence of El Niño events. Overall, this study demonstrates that the integration an LSTM-based rainfall downscaling model and the SWAT hydrological model can be used as an effective tool to predict water scarcity in the Semajid watershed.