TY - GEN
T1 - Research on Data Collection and Catastrophe Index Using Grey Relational Analysis
AU - Chen, Baoxin
AU - Chen, Kan
AU - Wang, Xi
AU - Wang, Xu
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Based on the flood disaster loss data during1980-2019 in various prefectures of Tarim Basin. Disaster loss indicators are: disaster area, collapsed house, deaths toll, dead livestock, collapsed shed. By calculating the catastrophe index and using the gray correlation analysis method to compare the risk level of disaster loss in each prefecture. Disaster loss of Aksu has the greatest correlation with the damage area. In Bazhou prefecture, it has the greatest correlation with the dead livestock. In Hotan prefecture, it has the greatest correlation with the collapsed shed. In Kashgar prefecture, it has the greatest correlation with the disaster area. And in Kezhou prefecture, it has the greatest correlation with the dead livestock. It should be noted that the correlation degree of dead livestock caused by floods in Kezhou prefecture and the correlation degree of collapsed shed caused by floods in Hotan prefecture are higher (R>0.8). The risk analysis of flood disaster loss in Tarim Basin is significant for disaster management.
AB - Based on the flood disaster loss data during1980-2019 in various prefectures of Tarim Basin. Disaster loss indicators are: disaster area, collapsed house, deaths toll, dead livestock, collapsed shed. By calculating the catastrophe index and using the gray correlation analysis method to compare the risk level of disaster loss in each prefecture. Disaster loss of Aksu has the greatest correlation with the damage area. In Bazhou prefecture, it has the greatest correlation with the dead livestock. In Hotan prefecture, it has the greatest correlation with the collapsed shed. In Kashgar prefecture, it has the greatest correlation with the disaster area. And in Kezhou prefecture, it has the greatest correlation with the dead livestock. It should be noted that the correlation degree of dead livestock caused by floods in Kezhou prefecture and the correlation degree of collapsed shed caused by floods in Hotan prefecture are higher (R>0.8). The risk analysis of flood disaster loss in Tarim Basin is significant for disaster management.
KW - Tarim Basin
KW - catastrophe index
KW - disaster loss
KW - flood
KW - grey relational analysis
UR - http://www.scopus.com/inward/record.url?scp=85126510268&partnerID=8YFLogxK
U2 - 10.1109/ICESIT53460.2021.9696710
DO - 10.1109/ICESIT53460.2021.9696710
M3 - Conference contribution
AN - SCOPUS:85126510268
T3 - Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021
SP - 903
EP - 905
BT - Proceedings of 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021
A2 - Chen, Guorong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Emergency Science and Information Technology, ICESIT 2021
Y2 - 22 November 2021 through 24 November 2021
ER -