{"title":"闪电引起的野火持续时间的概率分布","authors":"Jose V. Moris, D. Ascoli, Hugh G. P. Hunt","doi":"10.1109/ICLP56858.2022.9942474","DOIUrl":null,"url":null,"abstract":"The holdover phase (i.e., the time between lightning-induced ignition and fire detection) is a phenomenon characteristic of lightning-caused wildfires. In this paper, we analyzed multiple holdover time datasets to determine the best statistical distribution for this phenomenon. We found that the gamma distribution seems a suitable candidate to model holdover times. We propose applications of the gamma distribution to improve the investigation of lightning-caused wildfires.","PeriodicalId":403323,"journal":{"name":"2022 36th International Conference on Lightning Protection (ICLP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probability distributions for holdover time of lightning-caused wildfires\",\"authors\":\"Jose V. Moris, D. Ascoli, Hugh G. P. Hunt\",\"doi\":\"10.1109/ICLP56858.2022.9942474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The holdover phase (i.e., the time between lightning-induced ignition and fire detection) is a phenomenon characteristic of lightning-caused wildfires. In this paper, we analyzed multiple holdover time datasets to determine the best statistical distribution for this phenomenon. We found that the gamma distribution seems a suitable candidate to model holdover times. We propose applications of the gamma distribution to improve the investigation of lightning-caused wildfires.\",\"PeriodicalId\":403323,\"journal\":{\"name\":\"2022 36th International Conference on Lightning Protection (ICLP)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 36th International Conference on Lightning Protection (ICLP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICLP56858.2022.9942474\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 36th International Conference on Lightning Protection (ICLP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICLP56858.2022.9942474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Probability distributions for holdover time of lightning-caused wildfires
The holdover phase (i.e., the time between lightning-induced ignition and fire detection) is a phenomenon characteristic of lightning-caused wildfires. In this paper, we analyzed multiple holdover time datasets to determine the best statistical distribution for this phenomenon. We found that the gamma distribution seems a suitable candidate to model holdover times. We propose applications of the gamma distribution to improve the investigation of lightning-caused wildfires.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
