{"title":"北京市森林风险评价测度模型研究","authors":"Z. Ying, Y. Ai-jun, Ji Jian-wei, Lu Ji","doi":"10.1109/CDCIEM.2011.494","DOIUrl":null,"url":null,"abstract":"It has an important significance to promote the Beijing forestry development and strengthen forest resources management for study on Beijing forest measurement model of risk assessment. This paper has studied on forest measurement model of risk assessment in Beijing used probability regression method. The results show that: Beijing forest fires and forestry production value has a certain relationship, also it has a certain relationship between forest diseases, pests and rodents and forest construction investment, and both statistical tests are significant, which indicated that the regression models are qualified. The study suggests that when carrying out forestry production, forest fire prevention should be enhanced and the forest capital investment should be strengthened to prevent the forest diseases and pests and rodents occurred.","PeriodicalId":6328,"journal":{"name":"2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring","volume":"37 1","pages":"1750-1755"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Measurement Model for Forest Risk Assessment in Beijing\",\"authors\":\"Z. Ying, Y. Ai-jun, Ji Jian-wei, Lu Ji\",\"doi\":\"10.1109/CDCIEM.2011.494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It has an important significance to promote the Beijing forestry development and strengthen forest resources management for study on Beijing forest measurement model of risk assessment. This paper has studied on forest measurement model of risk assessment in Beijing used probability regression method. The results show that: Beijing forest fires and forestry production value has a certain relationship, also it has a certain relationship between forest diseases, pests and rodents and forest construction investment, and both statistical tests are significant, which indicated that the regression models are qualified. The study suggests that when carrying out forestry production, forest fire prevention should be enhanced and the forest capital investment should be strengthened to prevent the forest diseases and pests and rodents occurred.\",\"PeriodicalId\":6328,\"journal\":{\"name\":\"2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring\",\"volume\":\"37 1\",\"pages\":\"1750-1755\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDCIEM.2011.494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDCIEM.2011.494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Measurement Model for Forest Risk Assessment in Beijing
It has an important significance to promote the Beijing forestry development and strengthen forest resources management for study on Beijing forest measurement model of risk assessment. This paper has studied on forest measurement model of risk assessment in Beijing used probability regression method. The results show that: Beijing forest fires and forestry production value has a certain relationship, also it has a certain relationship between forest diseases, pests and rodents and forest construction investment, and both statistical tests are significant, which indicated that the regression models are qualified. The study suggests that when carrying out forestry production, forest fire prevention should be enhanced and the forest capital investment should be strengthened to prevent the forest diseases and pests and rodents occurred.