U Karst
Vol 6, No 2 (2022): NOVEMBER

Flood Modeling of Jatiroto River Using HEC-RAS to Determine Effective Flood Control Alternatives

Sumiadi Sumiadi (Faculty of Engineering, Brawijaya University.)
Bambang Winarta (Faculty of Engineering, Brawijaya University.)
Dwi Priyantoro (Faculty of Engineering, Brawijaya University.)
Mohammad Taufiq (Faculty of Engineering, Brawijaya University.)
Rovita Yuniarti Arimbi (Faculty of Engineering, Brawijaya University.)



Article Info

Publish Date
30 Nov 2022

Abstract

Jatiroto River, located on the border of Lumajang and Jember Regencies, is one of the rivers with a risk of flooding. This is due to changes in land use and high sedimentation. For this reason, flood control efforts are needed to reduce disaster risk. This study aims to conduct flood modeling on the Jatiroto River and propose the most effective flood control. In this paper, the flood modeling uses HEC-RAS 5.0 with Q25y and Q50y obtained from analyzing rainfall data from 9 rainfall stations. The first modeling was carried out to produce a flow hydrograph on the upstream river section. The second modeling is carried out for the downstream river section with lateral flow from the Jatiroto tributaries. The flood modeling results show that the existing cross-sectional capacity of the Jatiroto River cannot accommodate Q25y, so it overflows in several cross-sections, especially the downstream section.By normalizing the river's cross-section and constructing an embankment in the downstream area, the flow simulation results on flood modeling show that the flood discharge at 25 years and 50 years does not overflow in all cross sections. Therefore, the normalization and construction of embankments become the effective flood control option in the Jatiroto River.

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Journal Info

Abbrev

ukarst

Publisher

Subject

Civil Engineering, Building, Construction & Architecture

Description

U KaRsT is a journal of the civil engineering research the University of Kadiri published twice a year in April and November. First published in April 2017. U KaRsT already has both ISSN printed and online, for ISSN (Print) is 2579-4620, and ISSN (Online) is ...