Paper Info
Title
Hazard Assessment of Earthquake Disaster Chains Based on a Bayesian Network Model and ArcGIS
Abstract
The impacts of earthquakes and secondary disasters on ecosystems and the environment are attracting increasing global attention. Development of uncertainty reasoning models offers a chance to research these complex correlations. The primary aim of this research was to construct a disaster chain hazard assessment model that combines a Bayesian Network model and the ArcGIS program software for Changbai Mountain, China, an active volcano with a spate of reported earthquakes, collapses, and landslide events. Furthermore, the probability obtained by the Bayesian Networks was used to determine the disaster chain probability and hazard intensity of the earthquake events, while ArcGIS was used to produce the disaster chain hazard map. The performance of the Bayesian Network model was measured by error rate and scoring rules. The confirmation of the outcomes of the disaster chain hazard assessment model shows that the model demonstrated good predictive performance on the basis of the area under the curve, which was 0.7929. From visual inspection of the produced earthquake disaster chain hazard map, highly hazardous zones are located within a 15 km radius from the Tianchi center, while the northern and the western parts of the studied area are characterized mainly by very low to low hazard values.
Year
DOI
Venue
2019
10.3390/ijgi8050210
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
earthquake disaster chains,hazard assessment,Bayesian networks,ArcGIS,Changbai Mountain volcano
Visual inspection,Word error rate,Hazard analysis,Environmental science,Bayesian network,Landslide,Hazard map,Cartography
Journal
Volume
Issue
Citations 
8
5
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Lina Han100.34
Ji quan Zhang283.66
YiChen Zhang32610.72
Qing Ma400.34
Si Alu500.34
Qiuling Lang600.34