Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI Perspective
Natural hazard assessments are core to risk definition and early warning systems and play a fundamental role in the prevention of major damages. Traditional hazard identification methods are static. For this reason, new information and conditions cannot be easily included in the pre-defined hazard a...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Artvin Coruh University
2018-01-01
|
| Series: | Doğal Afetler ve Çevre Dergisi |
| Subjects: | |
| Online Access: | http://dacd.artvin.edu.tr/tr/download/article-file/420940 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832570213271339008 |
|---|---|
| author | Ipek Yilmaz Derya Ozturk |
| author_facet | Ipek Yilmaz Derya Ozturk |
| author_sort | Ipek Yilmaz |
| collection | DOAJ |
| description | Natural hazard assessments are core to risk definition and early warning systems and play a fundamental role in the prevention of major damages. Traditional hazard identification methods are static. For this reason, new information and conditions cannot be easily included in the pre-defined hazard assessments. The Bayesian Networks can be used effectively for dynamic hazard identification. In this study, a methodology based on the Bayesian Networks model is presented for dynamic avalanche hazard assessment, in which changed and renewed data can be included in the system. In the proposed methodology, the integration of the Bayesian Networks and Geographical Information Systems (GIS) is modeled in the National Spatial Data Infrastructure (NSDI) perspective. In this structure, it is possible to combine and analyze the data obtained from different sources and factors for avalanche hazard can be dynamically updated with real-time updated data and temporal hazard mapping can be produced. The proposed methodology provides a generic structure and has an attribute making it applicable for dynamic mapping studies for other disasters. |
| format | Article |
| id | doaj-art-730f452d1f7b47e5b15648c9321af8df |
| institution | Kabale University |
| issn | 2528-9640 2528-9640 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Artvin Coruh University |
| record_format | Article |
| series | Doğal Afetler ve Çevre Dergisi |
| spelling | doaj-art-730f452d1f7b47e5b15648c9321af8df2025-02-02T16:15:42ZengArtvin Coruh UniversityDoğal Afetler ve Çevre Dergisi2528-96402528-96402018-01-0141344410.21324/dacd.365255Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI PerspectiveIpek Yilmaz0Derya Ozturk1Ondokuz Mayis University, Faculty of Engineering, Department of Geomatics Engineering, 55200, Samsun, TurkeyOndokuz Mayis University, Faculty of Engineering, Department of Geomatics Engineering, 55200, Samsun, TurkeyNatural hazard assessments are core to risk definition and early warning systems and play a fundamental role in the prevention of major damages. Traditional hazard identification methods are static. For this reason, new information and conditions cannot be easily included in the pre-defined hazard assessments. The Bayesian Networks can be used effectively for dynamic hazard identification. In this study, a methodology based on the Bayesian Networks model is presented for dynamic avalanche hazard assessment, in which changed and renewed data can be included in the system. In the proposed methodology, the integration of the Bayesian Networks and Geographical Information Systems (GIS) is modeled in the National Spatial Data Infrastructure (NSDI) perspective. In this structure, it is possible to combine and analyze the data obtained from different sources and factors for avalanche hazard can be dynamically updated with real-time updated data and temporal hazard mapping can be produced. The proposed methodology provides a generic structure and has an attribute making it applicable for dynamic mapping studies for other disasters.http://dacd.artvin.edu.tr/tr/download/article-file/420940dynamic hazard assessmentavalanchebayesian networksgisnsdi |
| spellingShingle | Ipek Yilmaz Derya Ozturk Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI Perspective Doğal Afetler ve Çevre Dergisi dynamic hazard assessment avalanche bayesian networks gis nsdi |
| title | Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI Perspective |
| title_full | Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI Perspective |
| title_fullStr | Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI Perspective |
| title_full_unstemmed | Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI Perspective |
| title_short | Integration of Bayesian Networks with GIS for Dynamic Avalanche Hazard Assessment: NSDI Perspective |
| title_sort | integration of bayesian networks with gis for dynamic avalanche hazard assessment nsdi perspective |
| topic | dynamic hazard assessment avalanche bayesian networks gis nsdi |
| url | http://dacd.artvin.edu.tr/tr/download/article-file/420940 |
| work_keys_str_mv | AT ipekyilmaz integrationofbayesiannetworkswithgisfordynamicavalanchehazardassessmentnsdiperspective AT deryaozturk integrationofbayesiannetworkswithgisfordynamicavalanchehazardassessmentnsdiperspective |