Research on Data Collection and Catastrophe Index Using Grey Relational Analysis

2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT) Pub Date : 2021-11-22 DOI:10.1109/ICESIT53460.2021.9696710

Baoxin Chen, Kan Chen, Xi Wang, Xu Wang

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Abstract

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.

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基于灰色关联分析的数据采集与突变指数研究

基于塔里木盆地各地1980—2019年洪水灾害损失数据灾害损失指标为:受灾面积、倒塌房屋、死亡人数、死亡牲畜、倒塌棚舍。通过计算灾害指数，运用灰色关联分析法对各县灾害损失风险等级进行比较。阿克苏地区灾害损失与受灾面积的相关性最大。在霸州地区，与牲畜死亡的相关性最大。在和田地区，它与倒塌的棚屋相关性最大。在喀什地区，与灾区的相关性最大。而在克州地区，与牲畜死亡的相关性最大。值得注意的是，克州地区洪水造成的牲畜死亡与和田地区洪水造成的棚舍倒塌相关程度较高(r> 0.8)。塔里木盆地洪水灾害损失风险分析对灾害管理具有重要意义。

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2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)

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