DESCRIPTION LOGIC BASED EARTHQUAKE DAMAGE ESTIMATION FOR DISASTER MANAGEMENT

Year 2014, Volume: 15 Issue: 2, 93 - 103, 11.05.2015

Can Aydın , Vahap Tecim

https://doi.org/10.18038/btd-a.01308

Abstract

Earthquake damage estimation within the first few hours of devastating earthquake is critical from the point of decision-making and post-disaster planning. With recent developments in earthquake engineering, earthquake damage estimation can be effectively determined using strong ground motion network. However, a number of densely populated cities in earthquake risk zones do not have access to such costly and advanced systems. In this paper, we propose a system for estimating earthquake damage in the early post-disaster period, using a limited number of data sources, such as up-to-date earthquake source parameter, population, building quality, roads and bridge locations. This information, however, is distributed, and therefore poses semantic heterogeneity problems in data sharing. For this reason, it is very challenging to derive accurate damage and loss estimation solely based on the source parameter of the earthquake. To solve this problem, in the proposed system, ontologies are used to ensure semantic interoperability, and description logic (DL) rules are defined for damage estimation. Other features of this study include the use of parliament triple store to store and query disaster ontology, and the provision of damage assessment maps to enable disaster managers to reduce their response time

Keywords

Earthquake Damage Estimation, Ontology, Description Logic, Disaster Management, Semantic Interoperability

AFET YÖNETİMİ İÇİN BETİMLEME MANTIĞI TABANLI DEPREM HASAR TAHMİNİ

Abstract

Yıkıcı bir depremin ilk birkaç saatinde deprem hasar tahmini yapılabilmesi afet sonrası planlama ve karar verme açısından çok kritik öneme sahiptir. Deprem mühendisliğindeki gelişme ile deprem hasar tahmini kuvvetli yer hareketi ağı kullanılarak etkin bir şekilde yapılabilmektedir. Buna rağmen birçok deprem riski taşıyan bölgelerdeki yoğun nüfusa sahip olan şehirlerde bunun gibi gelişmiş ve maliyetli sistemler bulunmamaktadır. Bu çalışmada deprem sonrası süreçte güncel köprü, yol, bina kalitesi, nüfus ve deprem parametreleri gibi kısıtlı veri kaynakları kullanılarak deprem hasarını tahminlemeyi amaçlayan bir sistem önerilmektedir. Bununla birlikte bu bilgiler dağıtık ve veri paylaşımı açısından anlamsal heterojenliğe sahiptir. Bu sebeple sadece deprem parametrelerine dayanarak hasarın ve kayıpların tahmininin doğru yapılması zorlu bir görevdir. Bu problemi çözebilmek için hasar tahmini için betimleme dili kuralları tanımlandı ve ontolojiler kullanılarak anlamsal heterojenliği sağlaması amaçlanmıştır. Bu çalışmanın diğer özellikleri ise afet ontolojisinin sorgulanması ve saklanması için parliament triple store kullanılmıştır ve afet yöneticilerinin afete müdahale süresinin kısaltmak için hasar değerlendirme haritaları üretilmiştir.

Keywords

Deprem hasar tahmini, Ontoloji, Betimleme Mantığı, Afet Yönetimi, Anlamsal heterojenlik

References

• Alparslan, E. Ince, F., Erken, B., Aydöner, C., Özen, H. and Dönertaş, A. (2008). A GIS Model
• Regarding Disaster Mitigation, A Case Study in Bolu Turkey, Engineering Geology 96, 126-140. Suitability Loss Earthquakes, Engineering in Europe, Geotechnical, Geological, and Earthquake Engineering After Earthquake Emmons, I. (2012). Parliament User Guide.
• Fan, Z. and Zlatanova, S. (2011). Exploring
• Ontologies for Semantic Interoperability of Data in Emergency Response. SIFET 20 Appl Geomat 3:109-122. Horridge, M. (2009). A Practical Guide to
• Building OWL Ontologies using Protege 4 and CO-ODE Tools Edition 1.2., The University of Manchester. Hu, Y.-X., Liu, S.-C., and Dong, W.-M. (1996). Earthquake
• Champan & Hall, 2-6 Boundary Row, London SEI 8HK, UK, 26-36. Spon, Kruchten, P., Woo, C., Monu, K. and Sootodeh, M. (2007). A Human-centered Conceptual
• Model of Disasters Affecting Critical Infrastructures, Proceedings of The 4th International Conference on Information Systems Management (ISCRAM2007), Delft, The Netherlands:327–344. Response and Klien, E., Lutz, M. and Kuhn, W., (2006).
• Ontology-based Discovery of Geographic Information Services, An Application in Disaster Environment and Urban Systems, 30:102- Computers, Karagöz, Ö., Özel, O. and Tan, O., (2012).
• Analyzing Acceleration Waveforms and Determining Source Parameters of 23 October 2011 Van Earthquake (Mw = 7.2),
• International Earth Science Colloquium on The Aegean Region-2012, 01-05
• October, Dokuz Eylül University-İzmir, Abstracts, 322 (Oral Presentation). Lang, H., Moline-Palacios, S. and Lindholm, C.- D. (2008). Towards Near-Real-Time
• Damage Estimation using a CSM-Based Tool for Seismic Risk Assessment, Journal of Earthquake Engineering, 12(S2):199-210. Othman, S. and Beydoun, G. (2013). Model
• Driven Disaster Management, Information and Management, 50 (5), 218-228. Perry, G. (2009). Beyond Lending: How
• Multilateral Banks Can Help Developing Countries Manage Volatility, Center for Global Enviroment. Rudolph S. (2011). Foundation of Description Logics.
• Technologies for The Web of Data Lecture Notes in Computer Science, 6848, 76-136.
• Tanasescu, V. (2006). A Semantic Web Services
• GIS Based Emergency Management Application. The Semantic Web – ISWC The Lecture Notes in Computer Science, 4273, 959-966.
• Xu, W. & Zlatanova, S. (2007). Ontologies for Disaster Geomatics Management
• Geoinformation and Cartography, 185- 200. Response. Disaster Solutions for Notes in