Dergiler / International Journal of Engineering and Geosciences / 2022 / Cilt: 7 - Sayı: 1

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

Sayfa
17–23
Yayın Tarihi
2022-10-19
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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 Maddede Bu Makale

🎯
Amaç & Hipotez: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.
📊
Temel Bulgular & Veri:The investigation was made based on the fact that 2D and 2.5D GIS solutions cannot analyse flood complex problems inside the urban area.
💡
Sonuç & Katkı: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.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler: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.

🔖

Bu Makaleye Atıf Yap

KALBANİ, K. A., RAHMAN, A. A. (2022). 3D city model for monitoring flash flood risks in Salalah, Oman. International Journal of Engineering and Geosciences, Cilt: 7 - Sayı: 1, 17–23. https://ajindex.com/articles/540661

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (9)

  1. Abdul Rahman, A., Rashidan, H., Musliman, I.A., Buyuksalih, G., Bayburt, S., Baskaraca, P., 2019. 3D Geospatial Database Schema for Istanbul 3D City Model. ISPRS - Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XLII-4/W16, 11–16. https://doi.org/10.5194/isprs-archives-XLII-4-W16-11-2019
  2. Al Kalbani, K., Abdul Rahman, A., 2019. Integration Between Surface and Subsurface Spatial Objects for Developing Oman 3D SDI Based on the CityGML Standard. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XLII-4/W16, 79–84. https://doi.org/10.5194/isprs-archives-XLII-4-W16-79-2019
  3. Al Kalbani, K., Abdul Rahman, A., Al Awadhi, T., Alshannaq, F., 2018. Development Of A Framework for Implementing 3D Spatial Data Infrastructure In Oman – Issues And Challenges. ISPRS - Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XLII-4/W9, 243–246. https://doi.org/10.5194/isprs-archives-XLII-4-W9-243-2018
  4. Al-Kalbani, K., 2011. Monitoring and Assessing Flood Risks & Maintaining the Procedures to Limit their Danger using Geographical Information Systems, Remote Sensing and Hydrological Modeling (Case Study:Al-Seeb Willayat) ". Sultan Qaboos University. Arroyo Ohori, K., Biljecki, F., Kumar, K., Ledoux, H., Stoter, J., 2018. Modeling Cities and Landscapes in 3D with CityGML, in: Building Information Modeling. Springer International Publishing, Cham, pp. 199–215. https://doi.org/10.1007/978-3-319-92862-3_11 Bakuła, K., StĘpnik, M., Kurczyński, Z., 2016. Influence of Elevation Data Source on 2D Hydraulic Modelling. Acta Geophys. 64, 1176–1192. https://doi.org/10.1515/acgeo-2016-0030
  5. Bee, M., Benedetti, R., Espa, G., 2008. Spatial Models for Flood Risk Assessment. Environmetrics 19, 725–741. https://doi.org/10.1002/env.932
  6. Biljecki, F., 2017. Level of Details in 3D City Models,Published PhD Thesis. Delft University of Technology. https://doi.org/10.4233/uuid:f12931b7-5113-47ef-bfd4-688aae3be248 Uzbekistan (Hz. Osman’s Mushafi). International Congress on Cultural Heritage and Tourism (ICCHT), 115-123,
  7. Bishkek, Kyrgzstan. Biljecki, F., Ledoux, H., Stoter, J., 2017. Generating 3D City Models Without Elevation Data. Comput. Environ. Urban Syst. 64, 1–18. https://doi.org/10.1016/j.compenvurbsys.2017.01.001
  8. Biljecki, F., Ledoux, H., Stoter, J., 2015a. Improving the Consistency of Multi-LoD CityGML Datasets by Removing Redundancy. pp. 1–17. https://doi.org/10.1007/978-3-319-12181-9_1
  9. Biljecki, F., Stoter, J., Ledoux, H., Zlatanova, S., Çöltekin, A., 2015b. Applications of 3D City Models: Sta