3D City Modeling for Flood Inundation Analysis in Mayjen Sungkono Area, Surabaya

Nadhira Srikandi*, Hepi Hapsari Handayani, Mahendra Andiek Maulana

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Floods in urban areas are primarily caused by high rainfall combined with inadequate drainage systems, inappropriate land use changes, and insufficient flood mitigation measures. Surabaya, characterized as a seasonal zone with periodic rainfall, frequently experiences flood inundation due to the loss of water retention areas and an inadequate drainage infrastructure. Three-dimensional (3D) city models provide a detailed representation of urban environments, capturing the three-dimensional geometry of objects and general urban structures. This 3D modeling approach can enhance the understanding of flood depths impacting surrounding buildings and infrastructure and assist in estimating the effects on drainage capacity and catchment areas for long-term planning. In this research, 3D flood inundation modeling was conducted using LiDAR data and aerial photography, integrated with other GIS data. The flood inundation simulation was performed using HEC-RAS, while the 3D modeling was carried out using GIS-based software employing semi-automatic methods. The results of the 3D modeling and visualization indicate potential flood inundation depths reaching up to 5 meters, affecting 1,100 buildings and 30 roads. Further research could focus on improving the accuracy of terrain and channel data used in flood modeling to enhance the precision of the results.

Original languageEnglish
Article number012043
JournalIOP Conference Series: Earth and Environmental Science
Volume1418
Issue number1
DOIs
Publication statusPublished - 2024
Event9th Geomatics International Conference 2024, GeoICON 2024 - Surabaya, Indonesia
Duration: 24 Jul 2024 → …

Fingerprint

Dive into the research topics of '3D City Modeling for Flood Inundation Analysis in Mayjen Sungkono Area, Surabaya'. Together they form a unique fingerprint.

Cite this