基于蜣螂算法优化的投影寻踪生态环境评价方法构建
X87; 矿山开采会破坏和占用大量土地资源,对生态环境造成持久的负面影响,因此评价矿区生态环境质量变化迫在眉睫.为了准确监测矿区生态环境质量,以陕煤集团张家峁矿区 2000-2023年 24期逐年的Landsat影像为基础数据,通过计算绿度(Normalized Difference Vegetation Index,NDVI)、湿度(Humidity Index,WET)、热度(Land Surface Temperature,LST)、干度(Normalized Differential Build-up and bare Soil Index,NDBSI)4项生态指标,并采用基于果蝇优化...
Saved in:
| Published in | 煤炭学报 Vol. 49; no. 6; pp. 2799 - 2810 |
|---|---|
| Main Authors | , , , , , , , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054%西安科技大学地质与环境学院,陕西西安 710054
01.06.2024
西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061 西安科技大学测绘科学与技术学院,陕西西安 710054 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0253-9993 |
| DOI | 10.13225/j.cnki.jccs.XH23.1696 |
Cover
| Abstract | X87; 矿山开采会破坏和占用大量土地资源,对生态环境造成持久的负面影响,因此评价矿区生态环境质量变化迫在眉睫.为了准确监测矿区生态环境质量,以陕煤集团张家峁矿区 2000-2023年 24期逐年的Landsat影像为基础数据,通过计算绿度(Normalized Difference Vegetation Index,NDVI)、湿度(Humidity Index,WET)、热度(Land Surface Temperature,LST)、干度(Normalized Differential Build-up and bare Soil Index,NDBSI)4项生态指标,并采用基于果蝇优化算法的投影寻踪(Fruit Fly Optimization Algorithm-Projection Pursuit Clustering,FOA-PPC)、基于粒子群优化算法的投影寻踪(Particle Swarm Optimization-Projection Pursuit Clustering,PSO-PPC)、基于灰狼优化算法的投影寻踪(Grey Wolf Optimizer-Projection Pursuit Clustering,GWO-PPC)和基于蜣螂优化算法的投影寻踪(Dung Beetle Optimizer-Projection Pursuit Clustering,DBO-PPC)4种群智能优化算法构建矿区生态环境质量评价方法,并利用平均相关度进行精度验证.结果表明:①DBO-PPC模型的平均相关度和类内聚集度均高于PSO-PPC模型、FOA-PPC模型和GWO-PPC模型,且与EI指数更接近,表明DBO-PPC能更好的评估研究区生态环境;②基于DBO-PPC模型的张家峁矿区2000-2023年生态环境质量均值为 0.4,生态环境质量以差和较差等级为主,面积占比约 55.94%,空间上呈西部差东部好,常家沟水库的生态环境在研究期内表现为优等级,矿区东北部和中部区域的生态环境较好,植被覆盖较多;③矿区发生沉陷面积占比为 81.28%,沉陷最大值达-0.15 m;采区发生沉陷现象面积占比明显高于矿区,占采区面积的 89.56%,生态环境质量以-0.000 4的速率下降,表明采矿活动使得研究区的地表发生了沉陷,进而影响到生态环境.综上所述DBO-PPC模型在监测评价矿区生态环境质量方面具有较强的合理性 |
|---|---|
| AbstractList | X87; 矿山开采会破坏和占用大量土地资源,对生态环境造成持久的负面影响,因此评价矿区生态环境质量变化迫在眉睫.为了准确监测矿区生态环境质量,以陕煤集团张家峁矿区 2000-2023年 24期逐年的Landsat影像为基础数据,通过计算绿度(Normalized Difference Vegetation Index,NDVI)、湿度(Humidity Index,WET)、热度(Land Surface Temperature,LST)、干度(Normalized Differential Build-up and bare Soil Index,NDBSI)4项生态指标,并采用基于果蝇优化算法的投影寻踪(Fruit Fly Optimization Algorithm-Projection Pursuit Clustering,FOA-PPC)、基于粒子群优化算法的投影寻踪(Particle Swarm Optimization-Projection Pursuit Clustering,PSO-PPC)、基于灰狼优化算法的投影寻踪(Grey Wolf Optimizer-Projection Pursuit Clustering,GWO-PPC)和基于蜣螂优化算法的投影寻踪(Dung Beetle Optimizer-Projection Pursuit Clustering,DBO-PPC)4种群智能优化算法构建矿区生态环境质量评价方法,并利用平均相关度进行精度验证.结果表明:①DBO-PPC模型的平均相关度和类内聚集度均高于PSO-PPC模型、FOA-PPC模型和GWO-PPC模型,且与EI指数更接近,表明DBO-PPC能更好的评估研究区生态环境;②基于DBO-PPC模型的张家峁矿区2000-2023年生态环境质量均值为 0.4,生态环境质量以差和较差等级为主,面积占比约 55.94%,空间上呈西部差东部好,常家沟水库的生态环境在研究期内表现为优等级,矿区东北部和中部区域的生态环境较好,植被覆盖较多;③矿区发生沉陷面积占比为 81.28%,沉陷最大值达-0.15 m;采区发生沉陷现象面积占比明显高于矿区,占采区面积的 89.56%,生态环境质量以-0.000 4的速率下降,表明采矿活动使得研究区的地表发生了沉陷,进而影响到生态环境.综上所述DBO-PPC模型在监测评价矿区生态环境质量方面具有较强的合理性 |
| Abstract_FL | Mining will destroy and occupy a large amount of land resources and cause lasting negative impact on ecologic-al environment,so it is urgent to evaluate the change of ecological environment quality in mining area.In order to accur-ately monitor the ecological environment quality of the mining area,this study took 24 annual Landsat images of the Zhangjiamao Mining area from 2000 to 2023 as the basic data,and calculated four ecological indicators of NDVI(Nor-malized Difference Vegetation Index,NDVI),WET(Humidity Index,WET),LST(Land Surface Temperature,LST)and NDBSI(Normalized Differential Build-up and bare Soil Index,NDBSI).In addition,four population intelligent optimiza-tion algorithms including the Fruit Fly Optimization Algorithm-Projection Pursuit Clustering(FOA-PPC),the Particle Swarm Optimization-Projection Pursuit Clustering(PSO-PPC),the Grey Wolf Optimizer-Projection Pursuit Clustering(GWO-PPC)and the Dung Beetle Optimizer-Projection Pursuit Clustering(DBO-PPC)were used to derive the ecologic-al environment quality evaluation method in the mining area,and the average correlation was used to verify the accuracy.The results showed that:①The average correlation and intra class aggregation of the DBO-PPC model are higher than those of the PSO-PPC model,FOA-PPC model,and GWO-PPC model,and are closer to the EI index,indicating that the DBO-PPC model can better evaluate the ecological environment of the study area;②Based on the DBO-PPC model,the average ecological and environmental quality of the Zhangjiamao mining area from 2000 to 2023 is about 0.4,and the eco-logical and environmental quality is mainly poor or relatively poor,accounting for about 55.94%of the total area.In terms of space,the ecological environment of the Changjiagou Reservoir is superior during the study period.The ecological en-vironment in the northeastern and central areas of the mining area is better,with more vegetation coverage.③The propor-tion of subsidence area in the mining area is 81.28%,and the maximum subsidence is-0.15 m.Subsidence in the coal ex-traction area is significantly higher than that in the whole mining area,accounting for 89.56%of the coal extraction area,and the ecological environment quality decreases at a rate of-0.000 4,indicating that mining activities cause surface sub-sidence in the study area,which further affects the ecological environment.To sum up,the DBO-PPC model has a strong rationality in monitoring and evaluating the ecological environment quality in the mining areas,so as to provide technical means for the sustainable development of ecological environment in the mining areas. |
| Author | 刘英 许萍萍 董起广 曹满红 范雅慧 毕银丽 岳辉 牛鸿波 衡文静 田少国 祖鹏举 |
| AuthorAffiliation | 西安科技大学测绘科学与技术学院,陕西西安 710054;西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054%西安科技大学地质与环境学院,陕西西安 710054;西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061 |
| AuthorAffiliation_xml | – name: 西安科技大学测绘科学与技术学院,陕西西安 710054;西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054%西安科技大学地质与环境学院,陕西西安 710054;西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061 |
| Author_FL | FAN Yahui CAO Manhong DONG Qiguang BI Yinli YUE Hui LIU Ying XU Pingping HENG Wenjing TIAN Shaoguo ZU Pengju NIU Hongbo |
| Author_FL_xml | – sequence: 1 fullname: LIU Ying – sequence: 2 fullname: FAN Yahui – sequence: 3 fullname: HENG Wenjing – sequence: 4 fullname: XU Pingping – sequence: 5 fullname: YUE Hui – sequence: 6 fullname: BI Yinli – sequence: 7 fullname: NIU Hongbo – sequence: 8 fullname: TIAN Shaoguo – sequence: 9 fullname: ZU Pengju – sequence: 10 fullname: CAO Manhong – sequence: 11 fullname: DONG Qiguang |
| Author_xml | – sequence: 1 fullname: 刘英 – sequence: 2 fullname: 范雅慧 – sequence: 3 fullname: 衡文静 – sequence: 4 fullname: 许萍萍 – sequence: 5 fullname: 岳辉 – sequence: 6 fullname: 毕银丽 – sequence: 7 fullname: 牛鸿波 – sequence: 8 fullname: 田少国 – sequence: 9 fullname: 祖鹏举 – sequence: 10 fullname: 曹满红 – sequence: 11 fullname: 董起广 |
| BookMark | eNotjT9Lw0AcQG-oYFv9Cm6OiXf3Sy65UUq1QsFFwa1cLokY9QpG0dE_mUQ62SoiLejmYBAHNdFvk38fw4BOb3m810INNVQeQksE6wQoNVcCXar9PT2QMtR3ehR0wjhroCamJmicc5hHrTAMMAYDmNlE3XyWZMmoenyuppfl613xPs6-7_ObSfkQFdfj_Octj9Pq86W8nRXnF-Uozp-uqjjK0o9i8lXLxTTK02QBzfniIPQW_9lG22vdrU5P62-ub3RW-1pIMGaajQ3PN6l0heuD63KbODaxJVjcsTkVHuceFgYGBlLYlmux2uUgHCmIpJ4g0EbLf91ToXyhdgfB8ORI1cfB4fGZQzE1MMOEwS8OF2jy |
| ClassificationCodes | X87 |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.13225/j.cnki.jccs.XH23.1696 |
| DatabaseName | Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| DocumentTitle_FL | Ecological environment quality evaluation of Zhangjiamao mining area based on DBO-PPC model |
| EndPage | 2810 |
| ExternalDocumentID | mtxb202406016 |
| GrantInformation_xml | – fundername: (国家重点研发计划); (陕西省自然科学基础研究计划资助项目); (陕西煤业化工集团科研资助项目) funderid: (国家重点研发计划); (陕西省自然科学基础研究计划资助项目); (陕西煤业化工集团科研资助项目) |
| GroupedDBID | -02 2B. 4A8 5XA 5XC 92H 92I 93N ABJNI ACGFS ALMA_UNASSIGNED_HOLDINGS CCEZO CDRFL CW9 FIJ GROUPED_DOAJ IPNFZ PSX RIG TCJ TGT U1G U5L |
| ID | FETCH-LOGICAL-s1006-804ef52cdadf3dd981b818c379b892ae99e0a40363ca87d7652c93abca1c2ea13 |
| ISSN | 0253-9993 |
| IngestDate | Thu May 29 04:05:51 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 6 |
| Keywords | 生态环境评价 DBO-PPC projection pursuit 群智能优化算法 投影寻踪 Swarm intelligent optimization algorithm ecological environment evalu-ation |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-s1006-804ef52cdadf3dd981b818c379b892ae99e0a40363ca87d7652c93abca1c2ea13 |
| PageCount | 12 |
| ParticipantIDs | wanfang_journals_mtxb202406016 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-06-01 |
| PublicationDateYYYYMMDD | 2024-06-01 |
| PublicationDate_xml | – month: 06 year: 2024 text: 2024-06-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | 煤炭学报 |
| PublicationTitle_FL | Journal of China Coal Society |
| PublicationYear | 2024 |
| Publisher | 西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054%西安科技大学地质与环境学院,陕西西安 710054 西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061 西安科技大学测绘科学与技术学院,陕西西安 710054 |
| Publisher_xml | – name: 西安科技大学测绘科学与技术学院,陕西西安 710054 – name: 西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%西安科技大学测绘科学与技术学院,陕西西安 710054%西安科技大学地质与环境学院,陕西西安 710054 – name: 西安科技大学西部矿山生态环境修复研究院,陕西西安 710054%陕西省煤层气开发利用有限公司,陕西西安 710119%陕西生态产业有限公司,陕西西安 710061 |
| SSID | ssj0034365 ssib048394982 ssib023167597 ssib012291397 ssib051374103 ssib001105247 ssib046784615 |
| Score | 2.4773524 |
| Snippet | X87; 矿山开采会破坏和占用大量土地资源,对生态环境造成持久的负面影响,因此评价矿区生态环境质量变化迫在眉睫.为了准确监测矿区生态环境质量,以陕煤集团张家峁矿区... |
| SourceID | wanfang |
| SourceType | Aggregation Database |
| StartPage | 2799 |
| Title | 基于蜣螂算法优化的投影寻踪生态环境评价方法构建 |
| URI | https://d.wanfangdata.com.cn/periodical/mtxb202406016 |
| Volume | 49 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals issn: 0253-9993 databaseCode: DOA dateStart: 20100101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.doaj.org/ omitProxy: true ssIdentifier: ssj0034365 providerName: Directory of Open Access Journals |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwvV3La9RAGA-1vehBfOKz9OCcZNdkMpPMHCe7WYqgpxZ6K0k28QUr2PbSk4-eRHqyVURa0JsHi3hQW_1vuo8_w-_7EpP0AVYFYQmT7O97z06-b0i-taxrwlGZklCWaOkK3K3SjSiK3Yadwe01VkqmGRaKt25707Pi5pycG5swtaeWlhbjZrJ86HslfxNVuAZxxbdk_yCyJVO4AGOILxwhwnA8UoxZKJnusMCwUOBRhSxUTLeYcWkQMsVZ6DMTMu2z0GOBy7QkcItpheQKBh5iNJALxChDGMmCNgscHBgQESDDQDFjCCxQLoJtSEXxCogGGII5UyQdTpGhQNqApIOgQNfU8EhDQbIAY-qJMvEEboIGnJk2MW8z4xVKGvlrspAdigxSTAEnp_pGoYWokGY6QI5IDIz8OsQ4-Mk1VD5h20zrPZAQrUengsXtclDfNOGieriLpjnRgW25X8BUTcEA9zmFDeC-kIyEi5V5JZVGzY0ij3cKPhCSwDlaDASSgNxcBGoN0m0kxIFmgUemasTzVjHGwJQK7Nf_OnZpkoJx-be2QfAlxgjAEHOtalQlRqCrcS6XfDya1J0a5n_rLVGDwKZfgaCYlFoedPy_aVm7N3PpNqC2cuuJRN57t1gw92QFfjFl8wyTq_xJ7gPZC95cKX1Jeg_uNe8nyUJzbpq7TcfT-9rFUwIK61GMk5taKh2zJjgkNnZtV4kqIqifeLVj4HCOfYDLc46NMGR1DmkTFCRVhYCLt9BV-yvpuFCC2GWy6wqX_q239EfRhAEtuXGoHfRyZC-LendqefzMKetkUYBPmXw1PW2NLd89Y52otWU9a4X9ze3d7dXR2_ejjafDj68Gn9d2v7_uv1gfvlkZPF_r__jU39oZff0wfLk5ePxkuLrVf_dstLWyu_NlsP4NwIONlf7O9jlrthPOtKYbxd_NNBYc3FdVtkgzyZNu1M3cbldDQQ_VTOL6OlaaR6nWqR0JfPAliZTf9T3AajeKk8hJeBo57nlrvPewl16wpnCTSzqZz6PME7FIIJNTaQalnJBdoPAvWpOFE-aL28nC_J5oXvod4LJ1vFrXrljji4-W0qtQHi3GkzQBfgLMS_t9 |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E8%9C%A3%E8%9E%82%E7%AE%97%E6%B3%95%E4%BC%98%E5%8C%96%E7%9A%84%E6%8A%95%E5%BD%B1%E5%AF%BB%E8%B8%AA%E7%94%9F%E6%80%81%E7%8E%AF%E5%A2%83%E8%AF%84%E4%BB%B7%E6%96%B9%E6%B3%95%E6%9E%84%E5%BB%BA&rft.jtitle=%E7%85%A4%E7%82%AD%E5%AD%A6%E6%8A%A5&rft.au=%E5%88%98%E8%8B%B1&rft.au=%E8%8C%83%E9%9B%85%E6%85%A7&rft.au=%E8%A1%A1%E6%96%87%E9%9D%99&rft.au=%E8%AE%B8%E8%90%8D%E8%90%8D&rft.date=2024-06-01&rft.pub=%E8%A5%BF%E5%AE%89%E7%A7%91%E6%8A%80%E5%A4%A7%E5%AD%A6%E8%A5%BF%E9%83%A8%E7%9F%BF%E5%B1%B1%E7%94%9F%E6%80%81%E7%8E%AF%E5%A2%83%E4%BF%AE%E5%A4%8D%E7%A0%94%E7%A9%B6%E9%99%A2%2C%E9%99%95%E8%A5%BF%E8%A5%BF%E5%AE%89+710054%25%E8%A5%BF%E5%AE%89%E7%A7%91%E6%8A%80%E5%A4%A7%E5%AD%A6%E6%B5%8B%E7%BB%98%E7%A7%91%E5%AD%A6%E4%B8%8E%E6%8A%80%E6%9C%AF%E5%AD%A6%E9%99%A2%2C%E9%99%95%E8%A5%BF%E8%A5%BF%E5%AE%89+710054%25%E8%A5%BF%E5%AE%89%E7%A7%91%E6%8A%80%E5%A4%A7%E5%AD%A6%E5%9C%B0%E8%B4%A8%E4%B8%8E%E7%8E%AF%E5%A2%83%E5%AD%A6%E9%99%A2%2C%E9%99%95%E8%A5%BF%E8%A5%BF%E5%AE%89+710054&rft.issn=0253-9993&rft.volume=49&rft.issue=6&rft.spage=2799&rft.epage=2810&rft_id=info:doi/10.13225%2Fj.cnki.jccs.XH23.1696&rft.externalDocID=mtxb202406016 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fmtxb%2Fmtxb.jpg |