Article(id=1242135984477909792, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242135959668601567, articleNumber=null, orderNo=14, doi=10.3981/j.issn.1000-7857.2017.08.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1483372800000, receivedDateStr=2017-01-03, revisedDate=1490198400000, revisedDateStr=2017-03-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1494224493923, onlineDateStr=2017-05-08, pubDate=1493308800000, pubDateStr=2017-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1494224493923, onlineIssueDateStr=2017-05-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077896466, creator=sys-migrate, updateTime=1774077896466, updator=sys-migrate, issue=Issue{id=1242135959668601567, tenantId=1146029695717560320, journalId=1146031591421210625, year='2017', volume='35', issue='8', 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=1774077890551, creator=sys-migrate, updateTime=1774077890551, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=81, endPage=87, ext={EN=ArticleExt(id=1242135988215030478, articleId=1242135984477909792, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Main meteorological disasters and risk assessment in Shanxi Province: Based on empirical analysis of rainstorm and flood disaster data, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=From the perspective of empirical research based on the flood meteorological data fusion of Shanxi province, a flood disaster risk assessment model is established, based on the data at 109 meteorological stations in Shanxi Province, including the rainstorm and flood data in 1957-2008, a high degree of integration of the data of the economic development of Shanxi province and the geographic data, with considerations of the disaster factors and the four dimensions of the disaster body factors, the disaster prevention and reduction factors of Shanxi Province.The cities of Taiyuan, Datong, Yangquan, Shuozhou, Jinzhong and Linfen are chosen for empirical analysis, and the comprehensive evaluation of the flood disaster of six city disaster index is made. The research results can not only guide the practical work of Shanxi province in the storm flood forecasting and the disaster prevention and mitigation, but also serve as a unique analysis of the meteorological disasters based on a theoretical method., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=LDSYcmSXlSYYGE6QoK7wYQ==, pdfFileSize=821639, 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. College of Atmospheric Sciences; Nanjing University of Information Science And Technology, Nanjing 210044, China;
2. Collaborative Innovation Center for Meteorological Disaster Prediction and Evaluation, Nanjing University of Information Science and Technology, Nanjing 210044, China, fund=null, authors=WANG Wenjuan¹, LI Liping^1,2, authorsList=WANG Wenjuan, LI Liping), CN=ArticleExt(id=1242135986033996585, articleId=1242135984477909792, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=山西省主要气象灾害特征及风险评估——基于暴雨洪涝灾害气象数据融合的实证视角, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=立足于山西省暴雨洪涝气象数据融合的实证视角，通过对山西省109个气象站点，1957-2008年的暴雨洪涝灾害数据，山西省经济发展数据、地理数据的高度融合，从致灾因子、孕灾因子、承灾体因子和防灾减灾因子4 个维度出发，构建山西省暴雨洪涝灾害风险评估模型，并选择太原市、大同市、晋城市、朔州市、晋中市和临汾市进行实证分析，综合评估这6 个城市的暴雨洪涝灾害致灾指数。研究成果不仅能够从实践上指导山西省在暴雨洪涝预测及防灾减灾方面的实践工作，而且从理论方法上对气象灾害研究提出独特的分析见解。, correspAuthors=null, authorNote=王文娟,工程师,研究方向为气象灾害预警与评估,电子信箱:34123067@qq.com, correspAuthorsNote=李丽平,教授,研究方向为短期气候预测,电子信箱:liliping@nuist.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=taMfC66HZu8VMczQker+IA==, pdfFileSize=821639, 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. 南京信息工程大学大气科学学院, 南京 210044;
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