| 886 | 1 | 129 |
| 下载次数 | 被引频次 | 阅读次数 |
【目的】定量评价峰峰矿区生态环境质量的时空变化，为矿区生态环境治理提供科学依据。【方法】基于Landsat遥感数据，通过主成分分析法构建调整型遥感生态指数A-RSEI,结合地理探测器对峰峰矿区2000—2020年的生态环境质量进行了评价及成因分析。【结果】(1)2000—2020年，研究区A-RSEI均值呈“先下降后上升”趋势，增幅14.42%;生态环境质量整体呈“东高西低”的空间格局，A-RSEI等级由中和良为主导转变为良和优为主导，生态环境处于明显向好的趋势；梧桐庄矿、九龙矿和新三矿A-RSEI均值均呈不同程度的增长，表明矿区生态环境治理取得良好成效。(2)21年来研究区生态环境质量呈“改善—退化—改善”的趋势，改善区、稳定区和退化区的比例分别为45.88%、35.21%和18.91%,退化明显的区域主要集中在建成区。(3)土地利用是研究区生态环境质量的关键驱动因子，各影响因子主要表现为双因子增强关系，土地利用在降水和高程的共同作用下对A-RSEI空间异质性的影响最大。【结论】峰峰矿区生态环境质量总体向好，矿区生态治理成效显著，但建设用地扩张仍对局部环境构成压力。未来应继续强化生态修复与水土保持，优化土地利用结构，推动矿区生态环境系统性与可持续性治理。
Abstract：【Objective】 This study aims to quantitatively evaluate the spatiotemporal changes in the ecological environment quality of the Fengfeng mining area, thereby providing a scientific basis for ecological environment governance in the mining area. 【Methods】 Based on Landsat remote sensing data, an adjusted remote sensing ecological index(A-RSEI) was constructed using principal component analysis. Combined with geodetector, the ecological environment quality of the Fengfeng mining area from 2000 to 2020 was evaluated, and the driving factors were analyzed. 【Results】(1) From 2000 to 2020, the mean A-RSEI in the study area exhibited a trend of " initial decline followed by an increase, " with an overall increase of 14.42%. The overall ecological environmental quality exhibited a spatial pattern characterized by "higher in the east and lower in the west." The A-RSEI grade shifted from being dominated by moderate and good to being dominated by good and excellent, indicating a significantly positive trend in the ecological environment. The mean A-RSEI of Wutongzhuang Mine, Jiulong Mine, and Xinsan Mine all showed varying degrees of increase, indicating that ecological environment governance in the mining area achieved good results.(2) Spatiotemporal difference analysis revealed that the ecological environment quality in the study area showed a trend of "improvement-degradation-improvement" over the 21-year period. The proportions of improved, stable, and degraded areas were 45.88%, 35.21%, and 18.91%, respectively. Areas with significant degradation were mainly concentrated in the built-up area.(3) Land use was identified as a key driving factor for ecological environmental quality in the study area. The main influencing factors exhibited a two-factor enhancement relationship. Under the combined effects of precipitation and elevation, land use exerted the greatest influence on the spatial heterogeneity of A-RSEI. 【Conclusion】 The findings indicate that the overall ecological environment quality of the Fengfeng mining area has generally improved, and ecological governance efforts in the mining area have achieved significant results. However, the expansion of construction land continues to exert pressure on the local environment. Future efforts should focus on strengthening ecological restoration and soil and water conservation, optimizing land use structure, and promoting systematic and sustainable governance of the ecological environment in the mining area.
[1] LIU Y J,LIU H,YAN C,et al.Evaluation and dynamic monitoring of ecological environment quality in mining area based on improved CRSEI index model[J].Heliyon,2023,9(10):e20787.
[2] FANG A,DONG J,CAO Z,et al.Tempo-spatial variation of vegetation coverage and influencing factors of large-scale mining areas in Eastern Inner Mongolia,China[J].International Journal of Environmental Research and Public Health,2020,17(1):47.
[3] 李瑞军，杨志文，吴士文，等.基于Landsat影像的采煤对地表植被覆盖度时空变化的影响研究[J].华北水利水电大学学报(自然科学版),2020,41(4):52-60.[LI R J,YANG Z W,WU S W,et al.Study on the influences of coal mining on the temporal and spatial variations of surface vegetation coverage based on Landsat images[J].Journal of North China University of Water Resources and Electric Power (Natural Science Edition),2020,41(4):52-60.]
[4] 孔玲玲，冯险峰，武爽，等.拉萨城市圈1994—2017年生态质量的时空动态监测及驱动力分析[J].地理科学进展，2022,41(3):437-450.[KONG L L,FENG X F,WU S,et al.Spatiotemporal dynamics and driving factor analysis of ecological quality change in the Lhasa urban circle from 1994 to 2017[J].Progress in Geography,2022,41(3):437-450.]
[5] 徐伟恒，熊源，黄邵东，等.遥感在生态环境质量监测与评价中的应用现状研究[J].西南林业大学学报(自然科学),2023,43(2):195-204.[XU W H,XIONG Y,HUANG S D,et al.Review and research progress of the application of remote sensing in ecological environment quality monitoring and evaluation[J].Journal of Southwest Forestry University (Natural Sciences),2023,43(2):195-204.]
[6] 徐涵秋.城市遥感生态指数的创建及其应用[J].生态学报，2013,33(24):7853-7862.[XU H Q.A remote sensing urban ecological index and its application[J].Acta Ecologica Sinica,2013,33(24):7853-7862.]
[7] 王永祥，徐园园，杨佳嘉，等.基于Landsat的重庆市生态环境质量动态监测及其时空格局演变分析[J].生态学报，2023,43(15):6278-6292.[WANG Y X,XU Y Y,YANG J J,et al.Dynamic monitoring and spatio-temporal pattern evolution analysis of eco-environmental quality in Chongqing based on remote sensing[J].Acta Ecologica Sinica,2023,43(15):6278-6292.]
[8] YANG H,YU J,XU W,et al.Long-time series ecological environment quality monitoring and cause analysis in the Dianchi Lake Basin,China[J].Ecological Indicators,2023,148:110084.
[9] 杨绘婷，徐涵秋.基于遥感空间信息的武夷山国家级自然保护区植被覆盖度变化与生态质量评估[J].应用生态学报，2020,31(2):533-542.[YANG H T,XU H Q.Assessing fractional vegetation cover changes and ecological quality of the Wuyi Mountain National Nature Reserve based on remote sensing spatial information[J].Chinese Journal of Applied Ecology,2020,31(2):533-542.]
[10] JU X F,HE J L,ZHANG Q,et al.Evolution pattern and driving mechanism of eco-environmental quality in arid oasis belt:a case study of oasis core area in Kashgar Delta[J].Ecological Indicators,2023,154:110866.
[11] SONG W,GU H H,SONG W,et al.Environmental assessments in dense mining areas using remote sensing information over Qian′an and Qianxi regions China[J].Ecological Indicators,2023,146:109814.
[12] ZHONG A Y,HU C M,YOU L.Evaluation and prediction of ecological restoration effect of Beijing Wangping coal mine based on modified remote sensing ecological index[J].Land,2023,12(11):2059.
[13] NIE X R,HU Z,ZHU Q,et al.Research on temporal and spatial resolution and the driving forces of ecological environment quality in coal mining areas considering topographic correction[J].Remote Sensing,2021,13(14):2815.
[14] XU F,LI H,LI Y.Ecological environment quality evaluation and evolution analysis of a rare earth mining area under different disturbance conditions[J].Environmental Geochemistry and Health,2021,43(6):2243-2256.
[15] 马鹏飞，张安兵，王贺封，等.基于改进遥感生态指数的矿区生态环境监测及驱动因素分析[J].生态与农村环境学报，2023,39(12):1580-1590.[MA P F,ZHANG A B,WANG H F,et al.Ecological environment monitoring and driving factors analysis of mining area based on improved remote sensing ecological index[J].Journal of Ecology and Rural Environment,2023,39(12):1580-1590.]
[16] JIAO Z J,SUN G Y,ZHANG A Z,et al.Water benefit-based ecological index for urban ecological environment quality assessments[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2021,14:7557-7569.
[17] YANG X S,PENG L L H,CHEN Y,et al.Air humidity characteristics of local climate zones:a three-year observational study in Nanjing[J].Building and Environment,2020,171:106661.
[18] HEALEY S P,COHEN W B,YANG Z Q,et al.Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection[J].Remote Sensing of Environment,2005,97(3):301-310.
[19] GOWARD S N,XUE Y,CZAJKOWSKI K P.Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements:an exploration with the simplified simple biosphere model[J].Remote Sensing of Environment,2002,79(2):225-242.
[20] XU H.A new index for delineating built-up land features in satellite imagery[J].International Journal of Remote Sensing,2008,29(14):4269-4276.
[21] CHANDER G,MARKHAM B L,HELDER D L.Summary of current radiometric calibration coefficients for Landsat MSS,TM,ETM+,and EO-1 ALI sensors[J].Remote Sensing of Environment,2009,113(5):893-903.
[22] 徐涵秋，邓文慧.MRSEI指数的合理性分析及其与RSEI指数的区别[J].遥感技术与应用，2022,37(1):1-7.[XU H Q,DENG W H.Rationality analysis of MRSEI and its difference with RSEI[J].Remote Sensing Technology and Application,2022,37(1):1-7.]
[23] 王劲峰，徐成东.地理探测器：原理与展望[J].地理学报，2017,72(1):116-134.[WANG J F,XU C D.Geodetector:principle and prospective[J].Acta Geographica Sinica,2017,72(1):116-134.]
[24] 陈洪滨，范学花.2009年极端天气和气候事件及其他相关事件的概要回顾[J].气候与环境研究，2010,15(3):322-336.[CHEN H B,FAN X H.Some extreme events of weather,climate and related phenomena in 2009[J].Climatic and Environmental Research,2010,15(3):322-336.]
[25] 代立芹，李春强，康西言，等.河北省玉米生长季干旱特征及成因分析[J].生态环境学报，2020,29(4):763-770.[DAI L Q,LI C Q,KANG X Y,et al.The drought characteristics of maize in Hebei Province,China[J].Ecology and Environmental Sciences,2020,29(4):763-770.]
[26] 李武乾.基于多源遥感数据的矿区植被变化监测[D].邯郸：河北工程大学，2021.[LI W Q.Monitoring of vegetation change in mining area based on multi-source remote sensing data:a case study of Fengfeng mining area[D].Handan:Hebei University of Engineering,2021.]
[27] 李婧，郝育红，孙京敏，等.基于遥感生态指数的城市矿山生态环境时空变化评价[J].城市发展研究，2021,28(1):17-22.[LI J,HAO Y H,SUN J M,et al.Evaluation of ecological environment′ spatio-temporal variation in urban mine based on RSEI[J].Urban Development Studies,2021,28(1):17-22.]
[28] 张伟，杜培军，郭山川，等.改进型遥感生态指数及干旱区生态环境评价[J].遥感学报，2023,27(2):299-317.[ZHANG W,DU P J,GUO S C,et al.Enhanced remote sensing ecological index and ecological environment evaluation in arid area[J].National Remote Sensing Bulletin,2023,27(2):299-317.]
[29] HU C,SONG M,ZHANG A.Dynamics of the eco-environmental quality in response to land use changes in rapidly urbanizing areas:a case study of Wuhan,China from 2000 to 2018[J].Journal of Geographical Sciences,2023,33(2):245-265.
[30] 施智勇，胡晓婷，谢慧黎，等.基于RSEI的生态环境质量评价及驱动力分析：以闽江流域(福州段)为例[J].测绘通报，2023(2):28-33.[SHI Z Y,HU X T,XIE H L,et al.Eco-environmental quality assessment and driving force analysis based on RSEI:a case study of the Minjiang River Basin (Fuzhou section)[J].Bulletin of Surveying and Mapping,2023(2):28-33.]
基本信息:
DOI：10.19760/j.ncwu.zk.2026025
中图分类号:X82
引用信息:
[1]孙振宇,刘海新,王晓,等.基于调整型遥感生态指数的矿区生态环境质量动态监测与评价[J].华北水利水电大学学报(自然科学版),2026,47(02):73-84.DOI:10.19760/j.ncwu.zk.2026025.
基金信息:
国家自然科学基金项目(42071246); 河北省自然科学基金项目(E2020402006,E2020402086)
2024-12-20
2024-12-20
2024-12-20