Article(id=1322559875440292183, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559853093048851, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1736179200000, receivedDateStr=2025-01-07, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793252446278, onlineDateStr=2026-10-29, pubDate=1771948800000, pubDateStr=2026-02-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793252446278, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793252446278, creator=13701087609, updateTime=1793252446278, updator=13701087609, issue=Issue{id=1322559853093048851, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='2', pageStart='1', pageEnd='326', issueExtLink='null', onlineDate='null', pubDate='1771948800000', pubDateStr='2026-02-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793252440951, creator='13701087609', updateTime=1793252699964, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322560939526828556, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559853093048851, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322560939526828557, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559853093048851, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=217, endPage=225, ext={EN=ArticleExt(id=1322559875620647256, articleId=1322559875440292183, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Research on the Evaluation Method of Ecological Restoration Effect in Open-Pit Mining Areas Based on Multi-Source Data, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To scientifically evaluate the effectiveness of ecological restoration in open-pit mining areas, a comprehensive assessment system comprising five indicators, including vegetation coverage, soil moisture, soil and water conservation, air quality and landscape ecological risk, was established from both macro and micro perspectives, based on multi-source data such as remote sensing, precipitation, and soil information. Taking the Quzhai mining area for cement in Luquan, Shijiazhuang as the experimental area, quantitative assessment of ecological restoration status from 2021 to 2023 was carried out. The results show that from 2021 to 2023, the overall vegetation coverage in the mining area increases, soil moisture improves, soil erosion decreases, air quality improves, and the proportion of areas with "good" comprehensive restoration effects increases from 47.38% to 57.74%, reflecting the overall effectiveness of restoration measures. However, the proportion of "relatively poor" and "poor" level areas has also increases, mainly due to ecological risks caused by local landscape fragmentation and land use type conversion. Therefore, it is recommended to implement refined management for high-risk areas, as well as optimize vegetation configuration and landscape connectivity, in order to enhance the overall quality and sustainability of ecological restoration in mining areas. The evaluation method constructed in this study can provide a reference for monitoring, assessment, and scientific management of ecological restoration in mining areas.

, authors=Jiayou DING¹, Shaodan LI^{1, 2}, Xiaoxia ZHANG¹, Shuo LIU^{3, 4}, Yunxu YUAN^{3, 4}, Yincui HU^{1, 2}, authorsList=Jiayou DING, Shaodan LI, Xiaoxia ZHANG, Shuo LIU, Yunxu YUAN, Yincui HU, authorCompany=null, correspAuthors=Yunxu YUAN, 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=1322559876342067545, articleId=1322559875440292183, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于多源数据的露天矿区生态修复成效评价方法研究, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=

为科学评价露天矿区生态修复成效，基于遥感、降水、土壤等多源数据，从宏观与微观两个层面，构建了包含植被覆盖度、土壤湿度、水土保持、空气质量及景观生态风险5个指标的综合评价体系。以石家庄鹿泉曲寨水泥矿区为背景，对该矿区2021年和2023年生态修复状况进行量化评估。结果表明，2021—2023年间，矿区植被覆盖度整体提升，土壤湿度改善，水土流失总体减轻，空气质量向好，综合修复效果“较好”以上区域的占比由47.38%增至57.74%，反映修复措施整体有效。然而，“较差”与“差”等级区域的占比亦有所增加，主要与局部景观破碎化、土地利用类型转换带来的生态风险有关。因此，建议针对高风险区域实施精细化治理，优化植被配置与景观连通性，以提升矿区生态修复的整体质量与可持续性。所构建的评价方法可为矿区生态修复的监测评估与科学管理提供参考。

, authors=丁家有¹, 李少丹^{1, 2}, 张小霞¹, 刘硕^{3, 4}, 袁运许^{3, 4}, 胡引翠^{1, 2}, authorsList=丁家有, 李少丹, 张小霞, 刘硕, 袁运许, 胡引翠, authorCompany=null, correspAuthors=袁运许, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=LCWwh3SCBtjWFwetE1QtGw==, magXml=hOZ1E6hYGhy8uBpSpcQkjg==, pdfUrl=null, pdf=oOG044snrr11XlWdL2CoLw==, pdfFileSize=1998462, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=OTaNsKr59O4bZ1ApnESLSA==, mapNumber=null, fund=null)}, authors=[Author(id=1322559876904104295, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559875440292183, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=18370712476@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322559876979601769, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559875440292183, authorId=1322559876904104295, language=EN, stringName=Jiayou DING, firstName=Jiayou, middleName=null, lastName=DING, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Geographical Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322559877050904938, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559875440292183, authorId=1322559876904104295, language=CN, stringName=丁家有, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．河北师范大学 地理科学学院，河北 石家庄　050024, bio={"content":"

丁家有（2000—），男，江西赣州人，硕士研究生，主要从事遥感与矿山应用研究。E-mail:18370712476@163.com

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丁家有（2000—），男，江西赣州人，硕士研究生，主要从事遥感与矿山应用研究。E-mail:18370712476@163.com

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