SPATIAL MODELLING OF INUNDATION FLOOD USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM IN BOGOWONTO WATERSHED, PURWODADI AND BAGELEN, CENTRAL JAVA

Paramanandi, Amelia Rizki Gita and Sudaryatno, Sudaryatno and Rahardjo, Noorhadi and Purwanto, Taufik Hery (2024) SPATIAL MODELLING OF INUNDATION FLOOD USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM IN BOGOWONTO WATERSHED, PURWODADI AND BAGELEN, CENTRAL JAVA. In: 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 28 August 2023 - 30 August 2023, Yogyakarta.

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Abstract

Purwodadi and Bagelen sub-districts are areas that are frequently inundated by floods from the overflow of the Bogowonto River. These inundations can disrupt community activities and has an impact on material, social and economic damage. Therefore, it is necessary to have an effective and efficient flood potential in the Bogowonto watershed. The purpose of this study is to extract data of land use and river geometry using remote sensing data and geographic information systems for estimating flood discharges and constructing flood inundation spatial models using HEC-RAS and ArcGIS software in return periods 1, 2, 5, 10, 20, 50, and 100 years. Modeling is doing with integrating HEC-RAS and ArcGIS software. This study generally carried out hydrological and hydraulic modeling in the Bogowonto watershed. Hydrological modeling was carried out to convert rainfall data into flood discharge using the Nakayasu Synthetic Unit Hydrograph. The data used is the maximum daily rainfall for 2010-2022 from 10 rain stations in the Bogowonto watershed. Hydraulic modeling was carried out to simulate flood inundation using the HEC-RAS software with 2D unsteady flow simulation. The data required in this study are river geometry, design flood discharge, and Manning’s values. River geometry data and Manning’s values were obtained visual interpretation from remote sensing data in the form of DEMNAS and Sentinel-2A. The results of the modeling were analyzed and visualized using ArcGIS. This study shows that remote sensing data and geographic information systems can extract land use and river geometry data, which can then be used in flood modeling. © 2024 SPIE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 0; Conference name: 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet; Conference date: 28 August 2023 through 30 August 2023; Conference code: 197001
Uncontrolled Keywords: Computer software; Data handling; Data mining; Flood control; Floods; Geographic information systems; Geometry; Information systems; Information use; Java programming language; Land use; Rain; Remote sensing; Rivers; DEMNAS; Flood discharge; Flood modeling; HEC-RAS; Hydraulic modeling; Hydrological models; Remote sensing data; River geometry; Sentinel2a; Spatial modelling; Watersheds
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Divisions: Faculty of Geography > Departemen Sains Informasi Geografi
Depositing User: Sri Purwaningsih Purwaningsih
Date Deposited: 14 Jul 2025 01:45
Last Modified: 14 Jul 2025 01:45
URI: https://ir.lib.ugm.ac.id/id/eprint/19764

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