Article(id=1282036081629578040, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.11.0754, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1752422400000, receivedDateStr=2025-07-14, revisedDate=1757865600000, revisedDateStr=2025-09-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590820938, onlineDateStr=2026-07-09, pubDate=1764259200000, pubDateStr=2025-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590820938, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590820938, creator=13701087609, updateTime=1783590820938, updator=13701087609, issue=Issue{id=1282036038860255373, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='11', pageStart='1', pageEnd='268', issueExtLink='null', onlineDate='null', pubDate='1764259200000', pubDateStr='2025-11-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590810742, creator='13701087609', updateTime=1783593801313, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048582291276616, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048582295470921, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=164, endPage=171, ext={EN=ArticleExt(id=1282036081826710329, articleId=1282036081629578040, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Construction and characteristic analysis of county disaster resilience evolution model for rainstorm disasters, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=

In order to increase the systematicity and flexibility of disaster response behavior at the grassroots level, a triangle model of county disaster resilience was constructed. Taking the rainstorm in Jianchang, Liaoning Province in 2024 as an example, social network analysis method was used to establish an association network among rainstorm disaster events, county disaster bearing bodies and emergency management plans. The system dynamics model reflecting the evolution process of county disaster resilience was designed by introducing the time series dimension, and the individual attributes of network nodes were used as the basis for model evaluation. The results show that the county disaster resilience shows an evolutionary trend of slowly decreasing first and then steadily increasing, and the growth rate gradually accelerates. During the pre-disaster warning stage, disaster events, disaster-bearing bodies, and emergency management plans respectively possess the characteristics of suddenness, exposure, and absorption. Organizational preparations, communication preparations, material preparations, and publicity preparations have the greatest room for optimization. During the disaster response stage, disaster events, disaster-bearing bodies, and emergency management plans respectively possess coupling and uncertainty, sensitivity, and adaptability characteristics. There is still room for improvement in the capacity to evacuate the masses, communication guarantee mechanisms, and the resilience of power facilities. During the post-disaster recovery stage, disaster-bearing bodies and emergency management plans respectively possess adaptability and adjustment characteristics. At this time, it is necessary to optimize the planting structure of crops and enhance the flood resistance capacity of roads. Emergency management plans always have the characteristic of learning throughout the entire cycle of disaster response.

, authors=Ting LEI¹, Xiaojing HUI¹, Jie LIU², authorsList=Ting LEI, Xiaojing HUI, Jie LIU, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1282036082053202746, articleId=1282036081629578040, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=面向暴雨灾害的县域适灾韧性演化模型构建及特征分析, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=

为增加基层应灾行为的系统性与灵活性，构建县域适灾韧性三角形模型，以2024年辽宁建昌暴雨为例，使用社会网络分析方法，建立暴雨灾害事件、县域承灾体、应急管理方案间的关联网络，引入时序维度，设计反映县域适灾韧性演化过程的系统动力学模型，以网络节点个体属性作为模型赋值依据。结果表明：县域适灾韧性呈先缓慢下降后平稳上升且增速逐渐加快的演化趋势；在灾前预警阶段，灾害事件、承灾体、应急管理方案分别具备突发性、暴露性、吸收特征，组织准备、通信准备、物料准备、宣传准备最具优化空间；在灾中应对阶段，灾害事件、承灾体、应急管理方案分别具备耦合性与不确定性、敏感性、适应特征，转移群众能力、通信保障机制、电力设施韧性尚存优化空间；在灾后恢复阶段，承灾体、应急管理方案分别具备适应性、调整特征，此时需优化农作物种植结构、提升道路抗洪能力。应急管理方案在灾害应对全周期始终具备学习特征。

, authors=雷婷副教授¹, 回晓靖¹, 刘杰², authorsList=雷婷副教授, 回晓靖, 刘杰, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=ElWFFrkyP8KSpplIZ9m5Wg==, magXml=X7W0AKCwzboaaNgMrieHWA==, pdfUrl=null, pdf=/cejMy58N/crG/oOU1uFNA==, pdfFileSize=7333241, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=ivy8PF3DBQ41DdVWmsWywg==, mapNumber=null, fund=null)}, authors=[Author(id=1282036083894502210, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282036081629578040, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=yuxinwh_030@126.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282036083986776900, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282036081629578040, authorId=1282036083894502210, language=EN, stringName=Ting LEI, firstName=Ting, middleName=null, lastName=LEI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹School of Business, North Minzu University, Yinchuan Ningxia 750021, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282036084074857285, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282036081629578040, authorId=1282036083894502210, language=CN, stringName=雷婷副教授, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹北方民族大学 商学院，宁夏 银川 750021, bio={"content":"

雷婷（1985—），女，陕西渭南人，博士，副教授，主要从事应急管理、风险决策等方面的研究。E-mail:yuxinwh_030@126.com。

"}, bioImg=null, bioContent=

雷婷（1985—），女，陕西渭南人，博士，副教授，主要从事应急管理、风险决策等方面的研究。E-mail:yuxinwh_030@126.com。

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