{"title":"中国地震的最终和动态死亡率预测","authors":"Xiaoxin Zhu, Baiqing Sun","doi":"10.1504/IJEM.2017.10003686","DOIUrl":null,"url":null,"abstract":"This paper aims at predicting the dynamic death tolls in earthquakes using a combination of case-based reasoning and a times series model from realistic perspective. The proposed methodology consists of three steps: 1) fuzzy clustering to classify Chinese earthquakes; 2) mortality rates calculating to predict the final death tolls; 3) time series modelling to predict dynamic number of deaths. The strength of this paper is that it provides scientific methods with overall forecast errors lower than 20%, and opens the door for conducting final and dynamic death forecasts with a qualitative and quantitative approach.","PeriodicalId":44960,"journal":{"name":"International Journal of Emergency Management","volume":"13 1","pages":"131-149"},"PeriodicalIF":0.1000,"publicationDate":"2017-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Final and dynamic mortality prediction from earthquakes in China\",\"authors\":\"Xiaoxin Zhu, Baiqing Sun\",\"doi\":\"10.1504/IJEM.2017.10003686\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims at predicting the dynamic death tolls in earthquakes using a combination of case-based reasoning and a times series model from realistic perspective. The proposed methodology consists of three steps: 1) fuzzy clustering to classify Chinese earthquakes; 2) mortality rates calculating to predict the final death tolls; 3) time series modelling to predict dynamic number of deaths. The strength of this paper is that it provides scientific methods with overall forecast errors lower than 20%, and opens the door for conducting final and dynamic death forecasts with a qualitative and quantitative approach.\",\"PeriodicalId\":44960,\"journal\":{\"name\":\"International Journal of Emergency Management\",\"volume\":\"13 1\",\"pages\":\"131-149\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2017-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Emergency Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJEM.2017.10003686\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Emergency Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJEM.2017.10003686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MANAGEMENT","Score":null,"Total":0}
Final and dynamic mortality prediction from earthquakes in China
This paper aims at predicting the dynamic death tolls in earthquakes using a combination of case-based reasoning and a times series model from realistic perspective. The proposed methodology consists of three steps: 1) fuzzy clustering to classify Chinese earthquakes; 2) mortality rates calculating to predict the final death tolls; 3) time series modelling to predict dynamic number of deaths. The strength of this paper is that it provides scientific methods with overall forecast errors lower than 20%, and opens the door for conducting final and dynamic death forecasts with a qualitative and quantitative approach.
期刊介绍:
The IJEM is a refereed international journal published to address contingencies and emergencies as well as crisis and disaster management. Coverage includes the issues associated with: storms and flooding; nuclear power accidents; ferry, air and rail accidents; computer viruses; earthquakes etc.