Article(id=1314907142381994259, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907112854089785, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2025.06.004, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1751990400000, receivedDateStr=2025-07-09, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791427892537, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791427892537, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791427892537, creator=13701087609, updateTime=1791427892537, updator=13701087609, issue=Issue{id=1314907112854089785, tenantId=1146029695717560320, journalId=1235980550691926019, year='2025', volume='45', issue='6', pageStart='1', pageEnd='228', issueExtLink='null', onlineDate='null', pubDate='1764518400000', pubDateStr='2025-12-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791427885497, creator='13701087609', updateTime=1791430521754, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314918170201252492, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907112854089785, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314918170201252493, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907112854089785, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=19, endPage=25, ext={EN=ArticleExt(id=1314907142776258836, articleId=1314907142381994259, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Landslide Susceptibility Assessment Considering Land Use Change and Spatial Heterogeneity of Root Cohesion, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=

To explore the influence of land use change on landslide susceptibility, Liuyang City of Hunan Province was taken for research. An improved infinite slope model was established based on land use data from 2000 to 2020, by using an inversion model of root cohesion and dynamic hydrological correction, and the influence mechanism of land use change on landslide susceptibility was quantified. The model accuracy was verified by comparing six types of parameter combinations. It is found that the model considering spatial heterogeneity of root cohesion and saturated hydraulic conductivity corrected based on land use has extremely high prediction accuracy (AUC=0.815 0), presenting a significant improvement compared with the traditional model. Besides, forest land conversion to land for construction significantly increases landslide susceptibility (with a frequency ratio of 1.426 9), and decline of vegetation cover leads to reduction in root reinforcement.

, authors=Zelang MIAO¹, Zhiwei CHENG², Yaopeng XIONG¹, Jiaqi WU¹, Zuwu PENG², Junhuan LEI^{3, 4}, authorsList=Zelang MIAO, Zhiwei CHENG, Yaopeng XIONG, Jiaqi WU, Zuwu PENG, Junhuan LEI, 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=1314907143212466453, articleId=1314907142381994259, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=考虑土地利用变化和根系力空间异质性的滑坡易发性评价, columnId=1236276106219811026, journalTitle=矿冶工程杂志, columnName=采矿, runingTitle=null, highlight=null, articleAbstract=

为探究土地利用变化对滑坡易发性的影响，以湖南省浏阳市为研究区，基于2000—2020年土地利用数据，结合根系力反演模型和动态水文修正方法，构建改进的无限边坡模型，量化土地利用变化对滑坡稳定性的影响机制。通过对比6种参数组合情景，验证模型精度。结果表明，考虑根系力空间异质性与土地利用修正饱和导水率的模型预测精度极高（曲线下面积为0.815 0），较传统模型提升显著；森林转向建设用地使滑坡易发性显著增加（滑坡频率比值为1.426 9），植被覆盖减少导致根系加固能力下降。

, authors=苗则朗¹, 成志炜², 熊耀鹏¹, 吴佳奇¹, 彭祖武², 雷钧焕^{3, 4}, authorsList=苗则朗, 成志炜, 熊耀鹏, 吴佳奇, 彭祖武, 雷钧焕, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=Ct5mwBXOIuXR8DqiYz6ZKw==, magXml=Ju65LaqNE/CAMf1AS+JHkA==, pdfUrl=null, pdf=Cf7w9ujauXcmvBibqQLekA==, pdfFileSize=4310865, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=CxlIySEBY/TA4IzdC4mubA==, mapNumber=null, fund=null)}, authors=[Author(id=1314907143745143075, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314907142381994259, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=zelang.miao@csu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314907143829029157, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314907142381994259, authorId=1314907143745143075, language=EN, stringName=Zelang MIAO, firstName=Zelang, middleName=null, lastName=MIAO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Geoscience and Info-physics, Central South University, Changsha 410083, Hunan, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314907143891943718, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314907142381994259, authorId=1314907143745143075, language=CN, stringName=苗则朗, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．中南大学地球科学与信息物理学院，湖南 长沙 410083, bio={"content":"

苗则朗（1988—），男，安徽砀山人，博士，副教授，研究方向为遥感解译和灾害风险评价。E-mail: zelang.miao@csu.edu.cn

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苗则朗（1988—），男，安徽砀山人，博士，副教授，研究方向为遥感解译和灾害风险评价。E-mail: zelang.miao@csu.edu.cn

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