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REMOTE SENSING FOR LAND & RESOURCES    2015, Vol. 27 Issue (2) : 167-173     DOI: 10.6046/gtzyyg.2015.02.26
Technology Application |
Spatial-temporal evolution analysis of mining geological environment based on RS and GIS: A case study of the Dongsheng ore district
LI Xueyuan1, ZHAO Bo2, CHEN Shilei1, ZHAO Yingwang1, BIAN Kai1
1. College of Geoscience and Surveying Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China;
2. School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, China
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Abstract  During the coal mining, various geological environmental problems may be inevitable. In this study, the QuickBird images in 2007 and the WorldView2 images in 2012 from the Dongsheng ore district of Inner Mongolia were selected respectively as original and end data sources so as to extract the present environment information. After that, the areal increase and rate of different mine geological environment, the transfer matrix of environmental types, and the spatial-temporal change of environmental types were calculated or revealed. In addition, with the mining right as the spatial unit, the environmental areas were calculated by virtue of average annual increase and comprehensive dynamic degree, both of which can describe the spatial evolution trend. The results show that different environment are enlarged in different degrees year by year with the expansion of the exploitation range, while the transfer trend from "pollution" (mining pit, dump and water accumulated area) to "management"(restoration region and industrial square)is similarly significant. Although the mine ecological recovery, which appears to be better in northwest area than in southeast area, has been given more attention, the environmental recovery pace remains in general slower than the speed of the environmental pollution, which adversely affects the sustainable development.
Keywords level set theory      gradient descent method      coastline      contour information      feature extraction     
:  TP79  
Issue Date: 02 March 2015
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LIU Pengcheng. Spatial-temporal evolution analysis of mining geological environment based on RS and GIS: A case study of the Dongsheng ore district[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(2): 167-173.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.02.26     OR     https://www.gtzyyg.com/EN/Y2015/V27/I2/167
[1] 陈伟涛,张志,王焰新,等.矿山地质环境遥感监测方法初探[J].地质通报,2010,29(2/3):457-462. Chen W T,Zhang Z,Wang Y X,et al.Preliminary study on methods of geo-environment monitoring in minesites using remote sensing technique[J].Geological Bulletin of China,2010,29(2/3):457-462.
[2] 高永志.双鸭山矿山地质环境遥感监测研究[D].长春:吉林大学,2012. Gao Y Z.The Remote Sensing Monitoring Research of Mine Geological Environment of Shuangyashan[D].Changchun:Jilin University,2012.
[3] 谭德军.基于多源遥感信息的万盛矿区环境变化研究[D].成都:成都理工大学,2013. Tan D J.Study on Environmental Change in Wansheng Mining Area Using Multi-source Remote Sensing Data[D].Chengdu:Chengdu University of Technology,2013.
[4] 姜艳辉.矿山环境遥感自动监测方法与应用研究[D].北京:中国地质大学(北京),2012. Jiang Y H.The Research on Method and Application of Automatic Monitoring of Mine's Environment with Remote Sensing[D].Beijing:China University of Geosciences(Beijing),2012.
[5] 都平平.生态脆弱区煤炭开采地质环境效应与评价技术研究[D].徐州:中国矿业大学,2012. Du P P.Research on Geologic Environment Effects Induced by Coal Mining in Ecological Weakness Area and Assessment Techniques[D].Xuzhou:China University of Mining Technology,2012.
[6] Wu X W,Bao G D,Jia W W,et al.Remote sensing based analysis of the mine geological environment evaluation[J].Applied Mechanics and Materials,2012,121-126:2839-2844.
[7] 关英斌,许道军,郭婵妤.邯郸矿区矿山地质环境承载力评价[J].辽宁工程技术大学学报:自然科学版,2012,31(4):474-478. Guan Y B,Xu D J,Guo C Y.Evaluation on the carrying capacity of coal mining geo-environment in Handan mining area[J].Journal of Liaoning Technical University:Natural Science,2012,31(4):474-478.
[8] 莫若平,武文,张志敏.东胜煤田煤质特征及其综合利用方向[J].内蒙古煤炭经济,2002(2):16-18. Mo R P,Wu W,Zhang Z M.Dongsheng coalfield comprehensive utilization of coal quality characteristic and direction[J].Inner Mongolia Coal Economy,2002(2):16-18.
[9] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003. Zhao Y S.Analysis Principle and Method of Remote Sensing Applications[M].Beijing:Science Press,2003.
[10] 李学渊,李成尊,赵博.基于ArcGIS Engine的数据文件到Shapefile转换方法及其实现[J].国土资源遥感,2011,23(3):156-160.doi:10.6046/gtzyyg.2011.03.28. Li X Y,Li C Z,Zhao B.The method for transformation from the data file based on ArcGIS Engine to the Shapefile[J].Remote Sensing for Land and Resources,2011,23(3):156-160.doi:10.6046/gtzyyg.2011.03.28.
[11] 鲍文东.基于GIS的土地利用动态变化研究[D].济南:山东科技大学,2007. Bao W D.Study on Land Use Dynamic Change Based on GIS[D].Ji'nan:Shandong University of Science and Technology,2007.
[12] 叶庆华,刘高焕,陆洲,等.基于GIS的时空复合体-土地利用变化图谱模型研究方法[J].地理科学进展,2002,21(4):349-357. Ye Q H,Liu G H,Lu Z,et al.Research of TUPU on land use/land cover change based on GIS[J].Progress in Geography,2002,21(4):349-357.
[13] 周培德.计算几何——算法设计与分析[M].2版.北京:清华大学出版社,2005. Zhou P D.Computational Geometry:Algorithm Design and Analysis[M].2nd ed.Beijing:Tsinghua University Press,2005.
[14] 程炯,李新通,陈加兵.基于GIS的漳州市土地适宜性评价[J].福建师范大学学报:自然科学版,2001,17(2):98-101. Cheng J,Li X T,Chen J B.Evaluation of land suitability based on GIS in Zhangzhou City[J].Journal of Fujian Teachers University:Natural Science,2001,17(2):98-101.
[15] 田光进,张增祥,周全斌,等.基于遥感与GIS的北京市土地利用动态演化模式研究[J].遥感信息,2003(1):7-10,54. Tian G J,Zhang Z X,Zhou Q B,et al.Research on dynamic land-use pattern of Beijing by remote sensing and GIS[J].Remote Sensing Information,2003(1):7-10,54.
[16] 仙巍,邵怀勇,周万村.嘉陵江中下游地区近30年土地利用与覆被变化过程研究[J].地理科学进展,2005,24(2):114-121. Xian W,Shao H Y,Zhou W C.Process of land use/land cover change in the area of middle and lower reach of Jialingjiang River[J].Progress in Geography,2005,24(2):114-121.
[17] 王秀兰,包玉海.土地利用动态变化研究方法探讨[J].地理科学进展,1999,18(1):81-87. Wang X L,Bao Y H.Study on the methods of land use dynamic change research[J].Progress in Geography,1999,18(1):81-87.
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