Article(id=1242140477026284393, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242140458881725214, articleNumber=null, orderNo=13, doi=10.3981/j.issn.1000-7857.2023.10.011, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1604678400000, receivedDateStr=2020-11-07, revisedDate=1676563200000, revisedDateStr=2023-02-17, acceptedDate=null, acceptedDateStr=null, onlineDate=1687742695843, onlineDateStr=2023-06-26, pubDate=1685203200000, pubDateStr=2023-05-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1687742695843, onlineIssueDateStr=2023-06-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078967573, creator=sys-migrate, updateTime=1774078967573, updator=sys-migrate, issue=Issue{id=1242140458881725214, tenantId=1146029695717560320, journalId=1146031591421210625, year='2023', volume='41', issue='10', pageStart='1', pageEnd='132', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078963249, creator=sys-migrate, updateTime=1774078963249, updator=sys-migrate, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=115, endPage=124, ext={EN=ArticleExt(id=1242140483389038974, articleId=1242140477026284393, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Geological disaster factors and susceptibility evaluation in the hinterland of the Loess Plateau, columnId=1150494644690366681, journalTitle=Science & Technology Review, columnName=Papers, runingTitle=null, highlight=null, articleAbstract=With the continuous acceleration of urbanization, the impact of human activities on geological hazards has gradually increased, and people's lives and property safety have been threatened. Controlling geological hazards cannot delay. In this paper, nine factors such as slope gradient, relative elevation difference, slope direction, slope type, engineering geology groups, geomorphic type, rainfall, distance from rivers and distance from major traffic arteries are selected as evaluation indicators. The Information Value Model is used to evaluate the geological hazards susceptibility. The results show that: (1) This County can be divided into four types: extremely high susceptibility, high susceptibility, medium susceptibility and low susceptibility. Low susceptibility type is the largest, accounting for 64.64%, and extremely high susceptibility type is the smallest, accounting for 0.39%. (2) According to the verification, it can be seen that the density of geological hazards points in the extremely high areas and high areas is higher than that in medium susceptibility and low susceptibility areas, and the results are reasonable., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=rPhRPyU4KJrWeEUnvN9siQ==, pdfFileSize=6761330, 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=Shaanxi Geological Science and Technology Center, Xi’an 710065, China, fund=null, authors=RUAN Zheng, ZHOU Shaowei^*, YAO Sheng, TIAN Yao, authorsList=RUAN Zheng, ZHOU Shaowei, YAO Sheng, TIAN Yao), CN=ArticleExt(id=1242140480079737724, articleId=1242140477026284393, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=黄土高原腹地地质灾害致灾因素分析及易发性评价, columnId=1242117055294537731, journalTitle=科技导报, columnName=论文, runingTitle=null, highlight=null, articleAbstract=选取斜坡坡度、相对高差、坡向、坡型、工程地质岩组、地貌单元类型、降雨量、距河流距离、距主要交通干道距离等9个因素作为评价指标，以陕北某县为例，利用信息量模型评价该研究区地质灾害易发性并进行现实验证。结果表明：该县可分为地质灾害极高易发区、高易发区、中易发区和低易发区 4 种类型。全县地质灾害中易发区面积最大、占比可达64.64%，地质灾害极高易发区所占面积最小、占比为0.39%。根据验证结果可知，地质灾害极高易发区、高易发区的地质灾害隐患点密度均大于地质灾害中易发区、低易发区的密度，全区地质灾害隐患点密度最大的为极高易发区，地质灾害隐患点密度最小的为低易发区，模型评价结果较为合理。, correspAuthors=null, authorNote=阮征，助理工程师，研究方向为地质灾害风险调查与评价、地质灾害防治等，电子信箱：1550760293@qq.com, correspAuthorsNote=周少伟（通信作者），高级工程师，研究方向为水工环地质、地质灾害调查评价等，电子信箱：418585618@qq.com, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=7T/FexuY8oSVXHw3qMnThA==, pdfFileSize=6761330, 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=陕西省地质科技中心，西安 710065, fund=null, authors=阮征，周少伟^*，姚胜，田垚, authorsList=阮征，周少伟，姚胜，田垚)}, authors=null, keywords=[Keyword(id=1242140479677084533, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140477026284393, language=CN, orderNo=1, keyword=地质灾害), Keyword(id=1242140479777747830, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140477026284393, language=CN, orderNo=1, keyword=易发性评价), Keyword(id=1242140479865828215, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140477026284393, language=CN, orderNo=1, keyword=信息量法), Keyword(id=1242140479928742777, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140477026284393, language=CN, orderNo=1, keyword=黄土高原腹地), Keyword(id=1242140481489019258, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242140477026284393, language=EN, 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