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Journals / International Journal of Engineering and Geosciences / 2026 / Volume: 7 Issue: 1

3D city model for monitoring flash flood risks in Salalah, Oman

Khalid Al Kalbani(Universiti Teknologi Malaysia (UTM))0000-0002-3268-6831
Alias Abdul Rahman(MERSİN ÜNİVERSİTESİ, MERSİN MESLEK YÜKSEKOKULU)
Pages
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Publication Date
2022-02-15
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It was also revealed that establishing a 3D city model based on the CityGML standard requires homogenised definitions and standards for city objects (surface and subsurface) as well as hydrological data.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper investigates the issues and challenges in using a 3D city model for monitoring flash flood risks in Salalah (Oman) designed using the City Geography Markup Language (CityGML) standards version 2.0.
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Key Findings & Data:The investigation was made based on the fact that 2D and 2.5D GIS solutions cannot analyse flood complex problems inside the urban area.
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Conclusion & Impact:It was also revealed that establishing a 3D city model based on the CityGML standard requires homogenised definitions and standards for city objects (surface and subsurface) as well as hydrological data.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Flood risk management · 3D city model · CityGML

Abstract

This paper investigates the issues and challenges in using a 3D city model for monitoring flash flood risks in Salalah (Oman) designed using the City Geography Markup Language (CityGML) standards version 2.0. The investigation was made based on the fact that 2D and 2.5D GIS solutions cannot analyse flood complex problems inside the urban area. Hence, the study sought to reduce time and effort for the decision-makers by proposing a 3D city model for flood risk management. The study used geospatial tools and databases such as ArcGIS, Watershed Modelling System (WMS), FME, PostgreSQL-PostGIS, and 3D City Database (3DCityDB) to generate the 3D model and to test the capability of establishing a unified geospatial data structure including the 3D city objects, hydrological data, and geological data. The findings showed the importance of addressing flood risks data and arranging it in the 3D geodatabase. It was also revealed that establishing a 3D city model based on the CityGML standard requires homogenised definitions and standards for city objects (surface and subsurface) as well as hydrological data.

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Cite This Article

Kalbani, K. A., Rahman, A. A. (2022). 3D city model for monitoring flash flood risks in Salalah, Oman. International Journal of Engineering and Geosciences, Volume: 7 Issue: 1. https://doi.org/10.26833/ijeg.857971

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