Article(id=1322567061730087839, tenantId=1146029695717560320, journalId=1281212831689347082, issueId=1322567020940481144, articleNumber=null, orderNo=null, doi=10.14075/j.jgg.2025.06.202, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1750694400000, receivedDateStr=2025-06-24, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793254159624, onlineDateStr=2026-10-29, pubDate=1776182400000, pubDateStr=2026-04-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793254159624, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793254159624, creator=13701087609, updateTime=1793254159624, updator=13701087609, issue=Issue{id=1322567020940481144, tenantId=1146029695717560320, journalId=1281212831689347082, year='2026', volume='46', issue='4', pageStart='392', pageEnd='521', issueExtLink='null', onlineDate='null', pubDate='1776182400000', pubDateStr='2026-04-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793254149899, creator='13701087609', updateTime=1793254149899, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=392, endPage=398, ext={EN=ArticleExt(id=1322567061910442912, articleId=1322567061730087839, tenantId=1146029695717560320, journalId=1281212831689347082, language=EN, title=InSAR Monitoring of Ground Deformation Driven by Environmental Governance in a Certain Medical and Chemical Industrial Park, columnId=null, journalTitle=Journal of Geodesy and Geodynamics, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Taking a certain medical and chemical industrial park as an example, based on the Sentinel-1 satellite data from 2016 to 2024, we analyze the spatiotemporal characteristics of ground deformation in response to environmental governance using SBAS-InSAR technology. The results show that the study area exhibits spatial characteristics of "overall stability with localized subsidence". The maximum cumulative settlement reached 125 mm, primarily attributed to production activities. The factory zones of large enterprises maintained relative stability, and environmental governance project has not had a significant impact on the safety of enterprise buildings and structures. During the environmental governance period, settlement occurred at both ends of the dam, while the settlement in mid-dam conforms to the consolidation characteristics of the earth-rockfill dam, indicating extraction well operation did not have a significant impact on the stability of the dam. The study area has sufficient water resources and timely groundwater recharge, and reasonable extraction well layout and scientific strategy of the environmental governance plan, which have not caused significant disturbance to the regional hydrogeological environment and has limited impact on ground deformation.

, authors=Ruya XIAO1, Hang YANG1, Li SUN2, *, Ziyang LI3, 4, Tao LONG2, Xiufeng HE1, authorsList=Ruya XIAO, Hang YANG, Li SUN, Ziyang LI, Tao LONG, Xiufeng HE, authorCompany=null, correspAuthors=Li SUN, authorNote=null, correspAuthorsNote=null, copyrightStatement=All rights reserved. Unauthorized reproduction is prohibited., 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=1322567063537832879, articleId=1322567061730087839, tenantId=1146029695717560320, journalId=1281212831689347082, language=CN, title=环境治理驱动下某医化园区地表形变InSAR监测应用, columnId=1322566785874908034, journalTitle=大地测量与地球动力学, columnName=特色栏目: 地震大地测量学, runingTitle=null, highlight=null, articleAbstract=

以某医化园区为例, 基于2016-2024年Sentinel-1卫星数据, 采用SBAS-InSAR技术开展地表形变监测, 分析其在环境治理过程中的时空演变特征。结果表明, 研究区地表形变呈现"整体稳定、局部沉降"特征, 监测期内最大累积沉降量达125 mm, 主要与生产活动有关; 园区内大型企业厂区处于稳定状态, 环境治理工程未对企业建筑及结构安全产生明显影响; 园区堤坝两端在环境治理期间出现一定程度变形, 坝体中部沉降符合土石坝固结特征, 抽提井作业未对大坝稳定造成显著影响; 研究区水资源充足, 地下水补给及时, 环境治理方案抽提井布局合理、策略科学, 未对区域水文地质环境产生明显扰动, 对地表形变的影响有限。

, authors=肖儒雅1, 杨航1, 孙丽2, *, 李子阳3, 4, 龙涛2, 何秀凤1, authorsList=肖儒雅, 杨航, 孙丽, 李子阳, 龙涛, 何秀凤, authorCompany=null, correspAuthors=孙丽, authorNote=

肖儒雅, 博士, 教授, 主要研究方向为影像大地测量、卫星大地测量, E-mail:

, correspAuthorsNote=
孙丽, 助理研究员, 主要研究方向为土壤污染防治, E-mail:
, copyrightStatement=版权所有,未经授权,不得转载。, copyrightOwner=大地测量与地球动力学编辑部, extLink=null, articleAbsUrl=null, sourceXml=jdjdLEmwcsIKNOVDdUjECA==, magXml=SMHfCIBk6G8xloNbjqLQhA==, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=ncvmG24mc5SG3bbyVl/NsA==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=B3fyK0rYJkShKQSrMsKkMw==, mapNumber=null, fund=null)}, authors=[Author(id=1322567065899226045, tenantId=1146029695717560320, journalId=1281212831689347082, articleId=1322567061730087839, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=ruya.xiao@hhu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322567065995695039, tenantId=1146029695717560320, journalId=1281212831689347082, articleId=1322567061730087839, authorId=1322567065899226045, language=EN, stringName=Ruya XIAO, firstName=Ruya, middleName=null, lastName=XIAO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=1, address=1 School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322567066071192512, tenantId=1146029695717560320, journalId=1281212831689347082, articleId=1322567061730087839, authorId=1322567065899226045, language=CN, stringName=肖儒雅, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=1, address=1 河海大学地球科学与工程学院, 南京, 211100, bio={"content":"

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肖儒雅, 博士, 教授, 主要研究方向为影像大地测量、卫星大地测量, E-mail:

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环境治理驱动下某医化园区地表形变InSAR监测应用
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肖儒雅 1 , 杨航 1 , 孙丽 2, * , 李子阳 3, 4 , 龙涛 2 , 何秀凤 1
大地测量与地球动力学 | 特色栏目: 地震大地测量学 2026,46(4): 392-398
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大地测量与地球动力学 |特色栏目: 地震大地测量学 2026 , 46 (4) : 392 -398
环境治理驱动下某医化园区地表形变InSAR监测应用
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肖儒雅1 , 杨航1, 孙丽2, * , 李子阳3, 4, 龙涛2, 何秀凤1
作者信息
  • 1 河海大学地球科学与工程学院, 南京, 211100
  • 2 生态环境部南京环境科学研究所, 南京, 210042
  • 3 南京水利科学研究院水灾害防御全国重点实验室, 南京, 210029
  • 4 水利部大坝安全管理中心, 南京, 210029
通讯作者:
孙丽, 助理研究员, 主要研究方向为土壤污染防治, E-mail:
作者简介:

肖儒雅, 博士, 教授, 主要研究方向为影像大地测量、卫星大地测量, E-mail:

InSAR Monitoring of Ground Deformation Driven by Environmental Governance in a Certain Medical and Chemical Industrial Park
Ruya XIAO1 , Hang YANG1, Li SUN2, * , Ziyang LI3, 4, Tao LONG2, Xiufeng HE1
Affiliations
  • 1 School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China
  • 2 Nanjing Institute of Environmental Sciences, MEE, Nanjing 210042, China
  • 3 State Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China
  • 4 Dam Safety Management Center, MWR, Nanjing 210029, China
出版时间: 2026-04-15 doi: 10.14075/j.jgg.2025.06.202
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以某医化园区为例, 基于2016-2024年Sentinel-1卫星数据, 采用SBAS-InSAR技术开展地表形变监测, 分析其在环境治理过程中的时空演变特征。结果表明, 研究区地表形变呈现"整体稳定、局部沉降"特征, 监测期内最大累积沉降量达125 mm, 主要与生产活动有关; 园区内大型企业厂区处于稳定状态, 环境治理工程未对企业建筑及结构安全产生明显影响; 园区堤坝两端在环境治理期间出现一定程度变形, 坝体中部沉降符合土石坝固结特征, 抽提井作业未对大坝稳定造成显著影响; 研究区水资源充足, 地下水补给及时, 环境治理方案抽提井布局合理、策略科学, 未对区域水文地质环境产生明显扰动, 对地表形变的影响有限。

时序InSAR  /  形变监测  /  水文地质  /  医化园区  /  环境治理

Taking a certain medical and chemical industrial park as an example, based on the Sentinel-1 satellite data from 2016 to 2024, we analyze the spatiotemporal characteristics of ground deformation in response to environmental governance using SBAS-InSAR technology. The results show that the study area exhibits spatial characteristics of "overall stability with localized subsidence". The maximum cumulative settlement reached 125 mm, primarily attributed to production activities. The factory zones of large enterprises maintained relative stability, and environmental governance project has not had a significant impact on the safety of enterprise buildings and structures. During the environmental governance period, settlement occurred at both ends of the dam, while the settlement in mid-dam conforms to the consolidation characteristics of the earth-rockfill dam, indicating extraction well operation did not have a significant impact on the stability of the dam. The study area has sufficient water resources and timely groundwater recharge, and reasonable extraction well layout and scientific strategy of the environmental governance plan, which have not caused significant disturbance to the regional hydrogeological environment and has limited impact on ground deformation.

time series InSAR  /  deformation monitoring  /  hydrogeology  /  medical and chemical industrial park  /  environmental governance
肖儒雅, 杨航, 孙丽, 李子阳, 龙涛, 何秀凤. 环境治理驱动下某医化园区地表形变InSAR监测应用. 大地测量与地球动力学, 2026 , 46 (4) : 392 -398 . DOI: 10.14075/j.jgg.2025.06.202
Ruya XIAO, Hang YANG, Li SUN, Ziyang LI, Tao LONG, Xiufeng HE. InSAR Monitoring of Ground Deformation Driven by Environmental Governance in a Certain Medical and Chemical Industrial Park[J]. Journal of Geodesy and Geodynamics, 2026 , 46 (4) : 392 -398 . DOI: 10.14075/j.jgg.2025.06.202
工业园区作为我国工业化和城市化协同推进的重要载体,凭借其产业集群效应及资源优化配置能力,显著提升了区域经济发展质量。浙江某现代医药化工园区是重要的原料药和医药中间体出口基地,已形成规模化的生物医药产业集群。但高强度生产导致工业废水产量大幅增加,污水处理成本和管理难度随之上升。2020年环境监测数据显示,部分企业因不规范与违规排放行为,造成园区地下水环境质量未达标准。为应对该问题,当地政府迅速响应并积极整改,环境治理效果显著。但地下水回抽治理过程可能改变原有地下水流场,形成地下水降落漏斗,进而诱发地面不均匀沉降等环境地质灾害。鉴于环境治理过程中潜在地质灾害风险的存在,以及医化园区在灾害与事故面前的相对脆弱性[1],实施地表形变监测尤为重要。高精度监测可有效识别建筑物结构异常变形,实现早期预警,从而降低环境地质风险。
合成孔径雷达干涉测量(interferometric synthetic aperture radar, InSAR)作为一种星载地表形变监测技术,具有监测周期短、时间跨度长、测量精度高等优点。以永久散射体干涉测量(permanent scatterer InSAR, PS-InSAR)[2]和小基线集干涉测量(small baseline subset InSAR, SBAS-InSAR)[3]为代表的时间序列分析方法,在地震火山形变[4-5]、城市地面沉降[6-7]、地质灾害[8-9]及重大基础设施安全监测[10]等领域取得显著进展。李振洪等[11-12]系统阐述了InSAR地表形变监测面临的机遇和挑战,并结合星载SAR在体制、概念、技术、模式等方面的突破,展望了InSAR的发展趋势。王洲等[13]采用粗差探测与空间滤波相结合的方法, 对InSAR非形变信号进行分离,在浙江台州地区的应用实践表明,监测精度优于5 mm,该区域地表形变可能与地下水开采控制及资源开发等因素有关。曹曦予等[14]通过处理Sentinel-1升轨数据并结合地下水模拟发现,地表沉降受地下水水位变化影响显著。孙丽等[15]综合运用SBAS-InSAR技术和多手段防渗排查结果对地表形变开展综合分析,结果表明, 地面不均匀沉降与地下水污染具有关联性。
现有InSAR地表形变监测应用多集中于地球物理过程或资源开采等自然或人类活动引发的形变,缺乏对由环境治理措施所驱动的水文地质变化及其影响的研究。因此,本文以浙江某医化园区为研究对象,基于Sentinel-1卫星数据开展长时序地表形变分析,揭示环境治理工程措施对园区地表形变过程的影响机制。
浙江某现代医药化工园区位于浙江省东南部,地处长江三角洲经济圈,成立于2003年,是区域产业发展的重要载体。园区毗邻重要水域,周边村落分布密集,人口密度高。2020年之前,因监管措施不完善,园区内累积性环境问题逐步凸显,对周边居民生活造成一定影响。2020—2022年期间,当地实施了系统性的环境治理工程,环境质量得到显著改善。研究区概况如图 1所示,其中红色多边形为医化园区具体范围。
为系统分析环境治理全过程(治理前、治理中、治理后)对地表形变的影响,本文选取2016-01-09—2024-06-07的241景升轨Sentinel-1卫星干涉宽幅模式影像作为实验数据,幅宽250 km,重访周期12 d。以2021-01-06的SAR影像作为公共参考主影像进行时序SAR影像配准,干涉数据处理中使用卫星精密轨道数据以消除轨道误差[16],采用空间分辨率为30 m的哥白尼数字高程模型(Copernicus DEM)进行参考相位去除和地理编码[17]。此外,结合谷歌地球光学影像分析研究区土地利用类型、地表工程活动等对形变时空特征的影响。
使用GAMMA软件进行SAR影像干涉处理。设定时间基线阈值为90 d,空间基线阈值为200 m,且每期数据向后干涉最多生成5个干涉对,最终获取1 195幅干涉图,时空基线分布如图 2所示。干涉处理中采用的多视比为5 ∶ 1(距离向∶方位向),相干性阈值设为0.3。相位解缠采用最小费用流方法[18],并基于闭合相位检测[19]识别可能存在解缠误差的干涉图,进一步利用SNAPHU方法[20]对问题干涉图进行解缠优化。最后,利用LiCSBAS进行时间序列分析,通过最小二乘方法反演形变速率和时间序列,并进行时空域滤波得到最终地表形变结果。
基于SBAS-InSAR获取研究区2016—2024年的卫星视线向地表形变速率,结果如图 3所示。研究区形变空间差异明显,表现为大范围缓慢变形与局部显著沉降并存的特征。园区外部西南侧、紧邻水体以南区域地表形变最为突出,最大累积沉降量达125 mm;园区内部沉降主要集中在西部,最大累积沉降量超过90 mm。
研究区年均形变速率在-22~10 mm/a之间,约91%的监测目标形变速率在-5~5 mm/a之间(图 3(b)),反映出研究区整体形变态势较为平稳。各年度形变速率箱线图如图 3(c)所示,其中心值均位于0附近。2016—2019年形变速率中心值基本保持稳定,而2020—2024年则出现一定波动,表明环境治理工程的实施对地表形变产生了局部影响。箱线图所展示的分布形态进一步说明,2016—2024年大多数监测点的年形变速率均分布于0附近,且未出现显著异常。
为分析研究区形变空间特征,综合形变监测结果、土地利用类型与工程活动情况,圈定5个典型形变区域(图 3(a))。在此基础上,选取CJ01~CJ06共6个特征点进行时序分析,并以研究区南侧较稳定区域内的参考点R作为形变基准,结果如图 4、5所示。
图 4为CJ01~CJ03形变时间序列。结合光学影像分析可知,CJ01和CJ03在环境治理前(2016—2019年)均处于施工状态,地基开挖和建筑荷载导致该阶段沉降速率较高,分别为-18 mm/a和-10 mm/a;在环境治理过程中(2020—2022年),沉降情况较前期有所减缓。CJ02则在一定程度上受到治理工程的影响,其沉降速率由治理前的约-4 mm/a增加到治理期间的-10 mm/a。治理工程结束后,CJ01~CJ03均进入形变稳定阶段,未再出现明显沉降。由此可见,上述区域的地表形变虽受到环境治理工程的影响,但整体影响有限,治理结束后形变趋于稳定。
图 5为CJ04~CJ06及参考点R的形变时间序列。结合光学影像判断,这些点位的地表形变主要源于其他人类活动,与环境治理工程无直接关联。参考点R在整个监测期间保持稳定,反映了研究区在无显著工程干扰下的本底形变状态。CJ04在2018年之前基本稳定,随后因周边工程建设导致地面沉降,至2022-01累积沉降约60 mm。CJ05区域原为采石场,2022年以后改建为新能源企业项目,厂房施工期间地面沉降速率达-18 mm/a,2024年施工结束后逐渐恢复稳定。CJ06位于研究区西南侧采石场,其形变主要受开采活动控制,监测期内累积沉降量达125 mm。
园区内部形变速率在-11~1 mm/a之间,整体未出现明显沉降趋势。选取园区内6个大型企业(Q1~Q6)作为监测对象,开展厂区地表形变时间序列分析,监测点空间分布见图 1(b),时序结果如图 6所示。
监测结果显示,各企业厂区的地表形变在不同程度上受到环境治理工程的影响。以Q1~Q3为例,在环境治理工程实施前,其形变速率较低,态势总体平稳;而在2020—2022年环境治理工程实施期间,地表形变略有增大,可能与其邻近抽提井布置区域有关。总体而言,上述6个企业在监测时段内的累积沉降量均未超过10 mm,表明环境治理工程未对企业建筑及结构安全构成实质影响。
在环境治理过程中,为防控污水扩散,当地沿堤坝布设抽提井。为评估地下水回抽作业对坝体稳定性的影响,选取堤坝及湖心洲作为重点监测区域,开展形变时间序列分析,结果如图 7所示。
时序分析结果表明,堤坝整体变形较为稳定,但在空间分布上存在局部差异。位于堤坝两端的DB01和DB04受抽提井抽水影响较为明显,治理工程实施前(2020年以前)未出现显著沉降,工程实施期间发生沉降,速率分别为-9 mm/a和-4 mm/a;堤坝中部的DB02和DB03则表现出典型的土石坝固结沉降特征,自2017年建成后沉降速率逐渐减缓,累积沉降量均为40 mm左右;湖心洲区域呈现阶段性形变特征,2018年之前基本稳定,随后在2018-09—2023-04发生沉降,累积沉降量达45 mm。
基于InSAR技术对园区环境治理全周期(治理前、治理中和治理后)进行监测,结果表明,医化企业建筑与堤坝周边地表在治理前处于稳定状态,治理期间出现轻微沉降,治理后逐渐恢复平稳,反映出其形变过程与环境治理工程存在关联。
研究区地处浙江东南沿海,属亚热带季风气候,雨量充沛,园区紧邻骨干河道,周边支流密集,水资源丰富,对于地下水回抽能够及时补给。在环境治理工程措施方面,园区内部采用分散式抽提井布局,外部配套防渗拦截沟与集水回抽池,2022年以后采用园区内部停抽、堤坝外部回抽的“内停外抽”策略,通过优化抽提分布格局和运行模式,有效控制了地下水回抽强度和影响范围。在上述两个因素的共同作用下,地下水回抽未对区域水文地质环境造成显著扰动,因此对该地区地表形变的影响总体有限。
地表形变作为建筑及设施损害的潜在诱因,对其开展监测有助于识别早期安全隐患。环境治理施工期间人类活动频繁,地表沉降风险加剧,需重点关注其形变动态。环境治理工程完成后,地表形变趋于稳定,应对大型医化企业、堤坝等关键设施开展持续局部监测,以降低潜在地质环境风险。InSAR技术以其高时空分辨率、可回溯历史形变的独特优势,在工业园区环境安全连续监测中具有重要的应用价值。
利用2016—2024年Sentinel-1卫星数据,对浙江某现代医药化工园区及周边区域开展地表形变监测,系统分析地面沉降与环境治理工程之间的关联,得到以下结论:
1) 研究区呈现“整体稳定、局部沉降”特征,最大形变位于研究区西南侧,监测时段内累积沉降量达125 mm,主要与生产活动有关。
2) 园区内整体形变不显著,大型医化企业厂区受环境治理工程的影响有限,形变过程呈现阶段性特征。治理期间地面沉降速率略高于工程实施前、后阶段,但累积沉降量均未超过10 mm,未对企业建筑与结构安全造成实质影响。
3) 紧邻水体的堤坝两端在环境治理工程期间出现沉降现象,可能与其靠近抽提井有关,坝体中部沉降符合土石坝固结特征,堤坝抽提井作业未对大坝稳定造成显著影响。
4) 研究区水资源充沛,地下水补给条件良好,环境治理方案抽提井布局合理、策略科学,未对区域水文地质环境造成较大扰动,因此对该地区地表形变的影响总体可控。
近年来,陆探一号、宏图一号、涪城一号等国产干涉SAR卫星相继成功发射,标志着我国InSAR对地观测技术已进入高分辨率、多波段和多模式协同的新阶段。更高的空间分辨率、更灵活的观测模式以及更短的重访周期,将显著提升InSAR对园区厂房、管网、堤坝等关键设施微小形变的精细识别能力,并有效支持环境治理工程影响范围的动态监测,为识别灾害隐患提供技术与数据支撑。
  • 国家自然科学基金(42174018)
  • 国家自然科学基金(42574067)
  • 中央级公益性科研院所基本科研业务费专项(Y724002)
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doi: 10.14075/j.jgg.2025.06.202
  • 接收时间:2025-06-24
  • 首发时间:2026-10-29
  • 出版时间:2026-04-15
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  • 收稿日期:2025-06-24
基金
国家自然科学基金(42174018)
国家自然科学基金(42574067)
中央级公益性科研院所基本科研业务费专项(Y724002)
作者信息
    1 河海大学地球科学与工程学院, 南京, 211100
    2 生态环境部南京环境科学研究所, 南京, 210042
    3 南京水利科学研究院水灾害防御全国重点实验室, 南京, 210029
    4 水利部大坝安全管理中心, 南京, 210029

通讯作者:

孙丽, 助理研究员, 主要研究方向为土壤污染防治, E-mail:
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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