期刊文献+

梅州铁山嶂矿区生态修复效果的遥感监测与评估

Remote Sensing Monitoring and Evaluation of Ecological Restoration Effectiveness in Tieshanzhang Mining Area of Meizhou City
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摘要 该文通过实测数据、光学及微波遥感数据,利用遥感图像分类、SBAS-InSAR、改进的遥感生态指数(MRSEI)等技术方法,从地表覆盖类型、地表形变、生态质量综合评估3个方面对广东省梅州铁山嶂矿区生态修复前后进行监测分析。研究表明:(1)2022年2月-2024年1月,即矿区修复工程开始前至修复工程后期,矿区内大范围的裸土转变为植被/植被覆膜的区域,表明矿区的生态修复工程取得了一定的成效;(2)地表形变空间分布不均匀,地面抬升区主要分布在矿区南部与最北部,地面沉降区分布在矿区中部与西北部区域;(3)铁山嶂矿区的生态质量呈波动变化的趋势,修复工程之前自然恢复阶段MRSEI指数变化较小,2023年7月正值修复工程实施期间,由于工程实施的扰动,MRSEI均值较低,2023年10月为修复工程中后期,MRSEI均值明显升高,2024年1月,即该矿区的生态治理工程后期,修复区域生态质量受植被覆膜养护影响,MRSEI均值较低;(4)生态修复前后MRSEI等级转移与地表覆盖类型变化叠加分析显示,MRSEI表现为生态改善的区域,地表覆盖类型由裸土转化为植被/植被覆膜;MRSEI等级转移与地表形变叠加分析显示,MRSEI表现为生态改善与生态稳定的区域,地表形变表现为一定程度抬升。研究可为矿区生态环境质量评价提供有价值的参考。 In this paper,a multifaceted approach,integrating empirical data,optical and microwave remote sensing tech-niques were employed to meticulously monitor and analyze the ecological restoration of the Tieshanzhang mining area in Mei-zhou City of Guangdong Province;in addition sophisticated methodologies such as remote sensing image classification,SBAS-InSAR,and the modified remote sensing ecological index(MRSEI)were used focusing on three pivotal aspects:land cover dynamics,surface deformation patterns,and a comprehensive assessment of ecological quality.The findings indicated that during the pre-post restoration project period(Feb.2022-Jan.2024),substantial transformation was observed:vast areas of bare soil were converted into the areas covered by vegetation,which indicated the a notable success achieved by the ecologi-cal restoration efforts in the mining area.The spatial distribution of surface deformation was uneven,with the uplifted areas mainly concentrated in the south and far-north parts of the mining area,while the subsided areas were situated in the central and northwest regions of the mining area.The ecological quality of Tieshanzhang mining area tended being unstable,i.e.,prior to the restoration project(during the natural recovery stage),the MRSEI index changed little,and during the restoration project in July 2023,the average MRSEI value was relatively low due to the disturbances caused by the project construction.Howev-er,up to October 2023,the mid-to-late stages of the restoration project,the average MRSEI value remarkably increased,and later in January 2024,towards the later stages of the ecological management project in the mining area,the ecological quality of the restored areas was influenced by the maintenance of vegetation mulching,resulting in a lower average MRSEI value;and the overlay analysis of MRSEI grade transitions and land cover type changes before and after ecological restoration sug-gested that in the areas where MRSEI value showing ecological improvement,the land cover had changed from bare soil to ar-eas covered with vegetation,while the overlay analysis of MRSEI grade transitions and surface deformation indicates that ar-eas showing ecological improvement and stability also experienced a certain degree of ground uplift.In summary,the achieve-ments could serve as a valuable reference for evaluating ecological environment quality in mining areas.
作者 高佳 谷月程 杨琪 刘伟 陈隽敏 何柳 杨富淋 韩瑜佳 高明亮 孟丹 GAO Jia;GU Yuecheng;YANG Qi;LIU Wei;CHEN Junmin;HE Liu;YANG Fulin;HAN Yujia;GAO Mingliang;MENG Dan(China Energy Engineering Group Guangdong Electric Power Design Institute Co.,Ltd.,Guangzhou 510663,China;Guangdong Kenuo Surverying Engineering Co.,Ltd.,Guangzhou 510663,China;Guangdong Offshore Wind Power Smart Site and Ecological Environment Protection Engineering Technology Research Center,Guangzhou 510663,China;College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China;State Key Laboratory Incubation Base of Urban Environmental Process and Digital Simulation,Beijing 100048,China)
出处 《环境科学与技术》 北大核心 2025年第1期225-236,共12页 Environmental Science & Technology
基金 中电工程重大科技专项项目(DG3-P01-2022) 中国能建重大科技专项(CEEC2021-KJZX-01,CEEC2022-KJZX-02) 广东科诺勘测工程有限公司科技项目:矿区生态治理中碳减排及碳汇能力研究。
关键词 生态修复 地表形变 改进的遥感生态指数 铁山嶂矿区 ecological restoration land surface deformation modified remote sensing ecological index Tieshanzhang min-ing area
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