Article(id=1242137838377054680, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242137826846909094, articleNumber=null, orderNo=9, doi=10.3981/j.issn.1000-7857.2019.20.007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1547049600000, receivedDateStr=2019-01-10, revisedDate=1568736000000, revisedDateStr=2019-09-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1573001905433, onlineDateStr=2019-11-06, pubDate=1572192000000, pubDateStr=2019-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1573001905433, onlineIssueDateStr=2019-11-06, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078338469, creator=sys-migrate, updateTime=1774078338469, updator=sys-migrate, issue=Issue{id=1242137826846909094, tenantId=1146029695717560320, journalId=1146031591421210625, year='2019', volume='37', issue='20', pageStart='1', pageEnd='100', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078335721, creator=sys-migrate, updateTime=1774078335721, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=65, endPage=75, ext={EN=ArticleExt(id=1242137842953040401, articleId=1242137838377054680, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Applicability of forest fire danger weather index model based on modified Brown-Davis method, columnId=1242137831821353662, journalTitle=Science & Technology Review, columnName=Exclusive: Meteorological Disaster Prevention and Reduction, runingTitle=null, highlight=null, articleAbstract=Based on the observations of the national principal stations, the basic stations and the ordinary stations from 2005 to 2014 provided by the National Meteorological Information Center, a forest fire danger weather index model is built with the modified Brown-Davis method and the forest fire danger weather grade is established. They are verified by the corresponding daily frequency statistics of the forest and shrub fires, provided by the National Forestry and Grassland Administration (NFGA), combined with the case study and it is shown that the modified forest fire danger weather index is indicative for its values of five regions are higher in spring and autumn, as is consistent with the major fire prevention season set by the NFGA. In the three key forest fire-prevention regions of the meteorological service, namely, the northeast, the south and the southwest forest regions, the modified forest fire weather index has a high correlation with the forest fire frequency. The applied analysis of the forest fire in Inner Mongolia province in 2017 shows a high applicability of the index model., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=NSsGPTGMfoOhbFZyHojSRw==, pdfFileSize=6196929, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. Public Weather Service Center, China Meteorological Administration, Beijing 100081, China;
2. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China;
3. Sichuan Meteorological Service Center, Chengdu 610072, China;
4. Forest Fire Warning and Monitoring Information Center, Ministry of Emergency Management of the People's Republic of China, Beijing 100054, China;
5. Suining Meteorological Bureau of Sichuan Province, Suining 629000, China, fund=null, authors=LIANG Li¹, YANG Xiaodan¹, WANG Chengxin², YUAN Yuan³, ZHANG Yingnan⁴, ZHANG Yujie⁵, authorsList=LIANG Li, YANG Xiaodan, WANG Chengxin, YUAN Yuan, ZHANG Yingnan, ZHANG Yujie), CN=ArticleExt(id=1242137841526977031, articleId=1242137838377054680, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=修正的布龙-戴维斯森林火险气象指数模型在中国的适用性, columnId=1242137830844080820, journalTitle=科技导报, columnName=专题：气象防灾减灾, runingTitle=null, highlight=null, articleAbstract=利用国家气象信息中心提供的2005—2014年中国基本、基准、一般气象站的历史观测资料，建立了基于布龙-戴维斯方案的修正森林火险气象指数模型，制定森林火险气象等级划分标准，利用国家林业和草原局提供的对应全国林火、灌木火逐日次数统计进行验证，并结合实例进行效果检验。结果表明：修正后的森林火险气象指数在5大区域的春、秋季均为高值期，这与国家林业和草原局制定的重点防火服务季节大体一致，指示性较好；在中国三大森林防火气象服务重点区（东北、华南、西南林区），修正后的森林火险气象指数实际森林火灾次数相关度较高，2017年内蒙古林火实例分析说明适用性较高。, correspAuthors=null, authorNote=梁莉,高级工程师,研究方向为热带气旋大风统计和数值模拟、专业气象预报方法,电子信箱:liangli@cma.cn, correspAuthorsNote=杨晓丹(通信作者),高级工程师,研究方向为专业气象预报方法,电子信箱:yangxd@cma.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=hi63Dn8H/MsU5qOnvQfbIw==, pdfFileSize=6196929, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 中国气象局公共气象服务中心, 北京 100081;
2. 中国气象科学研究院灾害天气国家重点实验室, 北京 100081;
3. 四川省气象服务中心, 成都 610072;
4. 中华人民共和国应急管理部森林防火预警监测信息中心, 北京 100054;
5. 四川省遂宁市气象局, 遂宁 629000, fund=国家重点研发计划项目（2018YFC1508102，2016YFC0402702）；公益性行业（气象）科研专项（GYHY201406034）；中国气象科学研究院基本科研业务费专项（2017Y010）, authors=梁莉¹, 杨晓丹¹, 王成鑫², 袁媛³, 张英男⁴, 张渝杰⁵, authorsList=梁莉, 杨晓丹, 王成鑫, 袁媛, 张英男, 张渝杰)}, authors=null, keywords=[Keyword(id=1242137841208209924, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137838377054680, language=CN, orderNo=1, keyword=森林火险气象指数), Keyword(id=1242137841292096005, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137838377054680, language=CN, orderNo=1, keyword=布龙-戴维斯方案), Keyword(id=1242137841367593478, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137838377054680, language=CN, orderNo=1, keyword=森林火险气象等级), Keyword(id=1242137842638467598, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242137838377054680, language=EN, orderNo=1, keyword=forest fire danger weather index), Keyword(id=1242137842713965071, tenantId=1146029695717560320, 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