{"title":"基于数学模型的海平面上升问题影响分析","authors":"Z. Wu, Xian Cheng","doi":"10.1109/PMIS52742.2021.00097","DOIUrl":null,"url":null,"abstract":"Due to the impact of global warming, the global average sea level (GMSL) is constantly rising. This global phenomenon has caused coastal land and marine islands to face the risk of being submerged by seawater. This paper will establish a time series model to assess the possible occurrence of this risk, while predicting how many people may be forced to become environmentally displaced persons (EDPs) in order to propose corresponding protective measures for refugees and their culture.","PeriodicalId":117707,"journal":{"name":"2021 International Conference on Public Management and Intelligent Society (PMIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Impact Analysis of Sea Level Rising Problems Based on Mathematical Modeling\",\"authors\":\"Z. Wu, Xian Cheng\",\"doi\":\"10.1109/PMIS52742.2021.00097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the impact of global warming, the global average sea level (GMSL) is constantly rising. This global phenomenon has caused coastal land and marine islands to face the risk of being submerged by seawater. This paper will establish a time series model to assess the possible occurrence of this risk, while predicting how many people may be forced to become environmentally displaced persons (EDPs) in order to propose corresponding protective measures for refugees and their culture.\",\"PeriodicalId\":117707,\"journal\":{\"name\":\"2021 International Conference on Public Management and Intelligent Society (PMIS)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Public Management and Intelligent Society (PMIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PMIS52742.2021.00097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Public Management and Intelligent Society (PMIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMIS52742.2021.00097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact Analysis of Sea Level Rising Problems Based on Mathematical Modeling
Due to the impact of global warming, the global average sea level (GMSL) is constantly rising. This global phenomenon has caused coastal land and marine islands to face the risk of being submerged by seawater. This paper will establish a time series model to assess the possible occurrence of this risk, while predicting how many people may be forced to become environmentally displaced persons (EDPs) in order to propose corresponding protective measures for refugees and their culture.