MONITORING THE ECOLOGICAL ENVIRONMENT OF OPEN-PIT COALFIELDS IN COLD ZONES OF NORTHEAST CHINA USING LANDSAT TIME SERIES IMAGES OF 2000-2015
Evaluating the deterioration of ecological environment and vegetation of coalfields caused by China’s large-scale coal mining activities is important because of the fragile ecological environment and low temperature in cold and arid areas. This study takes the open coal pits of Haizhou, Gulianhe, an...
Gespeichert in:
Veröffentlicht in: | Tehnički vjesnik 2017-02, Vol.24 (1), p.129 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | 129 |
container_title | Tehnički vjesnik |
container_volume | 24 |
creator | Sun, Wenbin Zhang, Hongdan Cao, Yungang Zhang, Xiaolei Ji, Xuefeng Li, Fashuai |
description | Evaluating the deterioration of ecological environment and vegetation of coalfields caused by China’s large-scale coal mining activities is important because of the fragile ecological environment and low temperature in cold and arid areas. This study takes the open coal pits of Haizhou, Gulianhe, and Huolinhe as examples and proposes a method for evaluating their ecological environment using Landsat time series images based on the Normalized Difference Vegetation Index (NDVI) variations of open-pit coalfields in cold and arid zones. The average NDVI value of the mining area each month was calculated using Landsat image data from 2000 to 2015. The vegetation cover area in the coalfields was extracted according to the NDVI threshold, and the scatter plots of the annual maximum NDVI and vegetation cover area were drawn. We fitted the variation trend line of maximum NDVI value and vegetation cover area to reduce the effect of meteorological factors on NDVI values. Results show that after the closure of open pit and reclamation of dump area, the NDVI of open-pit coalfields and vegetation cover area have been increasing rapidly over the last decade, and the ecological environment of these coalfields has obviously improved. The coal mining activities have led to the rapid decline of annual maximum NDVI and vegetation cover area of the coalfields in permafrost zones, and the ecological environment of coalfields continues to deteriorate. Although the quarterly average NDVI remains unchanged in non-permafrost mining coalfields under coal exploitation, the vegetation cover area in the coalfields decreases linearly, indicating that the ecological environment of the coalfields tends to deteriorate. From an ecological environment protection perspective, the results of this study provide a basis for decision making in constructing large-scale open pits in cold and arid zones. |
doi_str_mv | 10.17559/TV-20161201095758 |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2036775290</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2036775290</sourcerecordid><originalsourceid>FETCH-LOGICAL-p183t-f61227b835595b3051dec5d3100e0e546f732439596e082ceddd39472e68bc5f3</originalsourceid><addsrcrecordid>eNotj01uwjAQha2qlYooF-jKUtdpx544jpdRMGApsVFiWHSDCnEWqCqUwCl66RrBZn6kb968R8grg3cmhVAffp1wYBmLBZSQIn8gI5aneZIhqsc4I0KCmWDPZDIMewDgkAJXOCJ_tbPGu8bYOfULTXXpKjc3ZVFRbdemcbbW1lM3o26pbbI0npauqGZGV9OWGhu3ako_ndXtFbKuiSpFG6mFsQVdtVfhqrDTtvDUm1rTVjcmwqYu5rcbHv1c_YsX8tR_fQ9hcu9jspppXy6Su6PkyHI8J30MyuU2xxhdbBEE68JOdMgAAgSRZr1EnqISKguQ813oug5VKnnI8u1O9Dgmbzfd4-nwewnDebM_XE4_8eWGA2ZSCq4A_wFBEViG</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2036775290</pqid></control><display><type>article</type><title>MONITORING THE ECOLOGICAL ENVIRONMENT OF OPEN-PIT COALFIELDS IN COLD ZONES OF NORTHEAST CHINA USING LANDSAT TIME SERIES IMAGES OF 2000-2015</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Sun, Wenbin ; Zhang, Hongdan ; Cao, Yungang ; Zhang, Xiaolei ; Ji, Xuefeng ; Li, Fashuai</creator><creatorcontrib>Sun, Wenbin ; Zhang, Hongdan ; Cao, Yungang ; Zhang, Xiaolei ; Ji, Xuefeng ; Li, Fashuai</creatorcontrib><description>Evaluating the deterioration of ecological environment and vegetation of coalfields caused by China’s large-scale coal mining activities is important because of the fragile ecological environment and low temperature in cold and arid areas. This study takes the open coal pits of Haizhou, Gulianhe, and Huolinhe as examples and proposes a method for evaluating their ecological environment using Landsat time series images based on the Normalized Difference Vegetation Index (NDVI) variations of open-pit coalfields in cold and arid zones. The average NDVI value of the mining area each month was calculated using Landsat image data from 2000 to 2015. The vegetation cover area in the coalfields was extracted according to the NDVI threshold, and the scatter plots of the annual maximum NDVI and vegetation cover area were drawn. We fitted the variation trend line of maximum NDVI value and vegetation cover area to reduce the effect of meteorological factors on NDVI values. Results show that after the closure of open pit and reclamation of dump area, the NDVI of open-pit coalfields and vegetation cover area have been increasing rapidly over the last decade, and the ecological environment of these coalfields has obviously improved. The coal mining activities have led to the rapid decline of annual maximum NDVI and vegetation cover area of the coalfields in permafrost zones, and the ecological environment of coalfields continues to deteriorate. Although the quarterly average NDVI remains unchanged in non-permafrost mining coalfields under coal exploitation, the vegetation cover area in the coalfields decreases linearly, indicating that the ecological environment of the coalfields tends to deteriorate. From an ecological environment protection perspective, the results of this study provide a basis for decision making in constructing large-scale open pits in cold and arid zones.</description><identifier>ISSN: 1330-3651</identifier><identifier>EISSN: 1848-6339</identifier><identifier>DOI: 10.17559/TV-20161201095758</identifier><language>eng</language><publisher>Slavonski Baod: Josipa Jurja Strossmayer University of Osijek</publisher><subject>Arid regions ; Arid zones ; Coal mines ; Coal mining ; Cold ; Cold weather construction ; Decision making ; Deterioration ; Ecological effects ; Ecological monitoring ; Environmental monitoring ; Environmental protection ; Landsat satellites ; Mathematical analysis ; Normalized difference vegetative index ; Permafrost ; Pits ; Reclamation ; Satellite imagery ; Time series ; Vegetation</subject><ispartof>Tehnički vjesnik, 2017-02, Vol.24 (1), p.129</ispartof><rights>Copyright Josipa Jurja Strossmayer University of Osijek 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27923,27924</link.rule.ids></links><search><creatorcontrib>Sun, Wenbin</creatorcontrib><creatorcontrib>Zhang, Hongdan</creatorcontrib><creatorcontrib>Cao, Yungang</creatorcontrib><creatorcontrib>Zhang, Xiaolei</creatorcontrib><creatorcontrib>Ji, Xuefeng</creatorcontrib><creatorcontrib>Li, Fashuai</creatorcontrib><title>MONITORING THE ECOLOGICAL ENVIRONMENT OF OPEN-PIT COALFIELDS IN COLD ZONES OF NORTHEAST CHINA USING LANDSAT TIME SERIES IMAGES OF 2000-2015</title><title>Tehnički vjesnik</title><description>Evaluating the deterioration of ecological environment and vegetation of coalfields caused by China’s large-scale coal mining activities is important because of the fragile ecological environment and low temperature in cold and arid areas. This study takes the open coal pits of Haizhou, Gulianhe, and Huolinhe as examples and proposes a method for evaluating their ecological environment using Landsat time series images based on the Normalized Difference Vegetation Index (NDVI) variations of open-pit coalfields in cold and arid zones. The average NDVI value of the mining area each month was calculated using Landsat image data from 2000 to 2015. The vegetation cover area in the coalfields was extracted according to the NDVI threshold, and the scatter plots of the annual maximum NDVI and vegetation cover area were drawn. We fitted the variation trend line of maximum NDVI value and vegetation cover area to reduce the effect of meteorological factors on NDVI values. Results show that after the closure of open pit and reclamation of dump area, the NDVI of open-pit coalfields and vegetation cover area have been increasing rapidly over the last decade, and the ecological environment of these coalfields has obviously improved. The coal mining activities have led to the rapid decline of annual maximum NDVI and vegetation cover area of the coalfields in permafrost zones, and the ecological environment of coalfields continues to deteriorate. Although the quarterly average NDVI remains unchanged in non-permafrost mining coalfields under coal exploitation, the vegetation cover area in the coalfields decreases linearly, indicating that the ecological environment of the coalfields tends to deteriorate. From an ecological environment protection perspective, the results of this study provide a basis for decision making in constructing large-scale open pits in cold and arid zones.</description><subject>Arid regions</subject><subject>Arid zones</subject><subject>Coal mines</subject><subject>Coal mining</subject><subject>Cold</subject><subject>Cold weather construction</subject><subject>Decision making</subject><subject>Deterioration</subject><subject>Ecological effects</subject><subject>Ecological monitoring</subject><subject>Environmental monitoring</subject><subject>Environmental protection</subject><subject>Landsat satellites</subject><subject>Mathematical analysis</subject><subject>Normalized difference vegetative index</subject><subject>Permafrost</subject><subject>Pits</subject><subject>Reclamation</subject><subject>Satellite imagery</subject><subject>Time series</subject><subject>Vegetation</subject><issn>1330-3651</issn><issn>1848-6339</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNotj01uwjAQha2qlYooF-jKUtdpx544jpdRMGApsVFiWHSDCnEWqCqUwCl66RrBZn6kb968R8grg3cmhVAffp1wYBmLBZSQIn8gI5aneZIhqsc4I0KCmWDPZDIMewDgkAJXOCJ_tbPGu8bYOfULTXXpKjc3ZVFRbdemcbbW1lM3o26pbbI0npauqGZGV9OWGhu3ako_ndXtFbKuiSpFG6mFsQVdtVfhqrDTtvDUm1rTVjcmwqYu5rcbHv1c_YsX8tR_fQ9hcu9jspppXy6Su6PkyHI8J30MyuU2xxhdbBEE68JOdMgAAgSRZr1EnqISKguQ813oug5VKnnI8u1O9Dgmbzfd4-nwewnDebM_XE4_8eWGA2ZSCq4A_wFBEViG</recordid><startdate>20170201</startdate><enddate>20170201</enddate><creator>Sun, Wenbin</creator><creator>Zhang, Hongdan</creator><creator>Cao, Yungang</creator><creator>Zhang, Xiaolei</creator><creator>Ji, Xuefeng</creator><creator>Li, Fashuai</creator><general>Josipa Jurja Strossmayer University of Osijek</general><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20170201</creationdate><title>MONITORING THE ECOLOGICAL ENVIRONMENT OF OPEN-PIT COALFIELDS IN COLD ZONES OF NORTHEAST CHINA USING LANDSAT TIME SERIES IMAGES OF 2000-2015</title><author>Sun, Wenbin ; Zhang, Hongdan ; Cao, Yungang ; Zhang, Xiaolei ; Ji, Xuefeng ; Li, Fashuai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p183t-f61227b835595b3051dec5d3100e0e546f732439596e082ceddd39472e68bc5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Arid regions</topic><topic>Arid zones</topic><topic>Coal mines</topic><topic>Coal mining</topic><topic>Cold</topic><topic>Cold weather construction</topic><topic>Decision making</topic><topic>Deterioration</topic><topic>Ecological effects</topic><topic>Ecological monitoring</topic><topic>Environmental monitoring</topic><topic>Environmental protection</topic><topic>Landsat satellites</topic><topic>Mathematical analysis</topic><topic>Normalized difference vegetative index</topic><topic>Permafrost</topic><topic>Pits</topic><topic>Reclamation</topic><topic>Satellite imagery</topic><topic>Time series</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Wenbin</creatorcontrib><creatorcontrib>Zhang, Hongdan</creatorcontrib><creatorcontrib>Cao, Yungang</creatorcontrib><creatorcontrib>Zhang, Xiaolei</creatorcontrib><creatorcontrib>Ji, Xuefeng</creatorcontrib><creatorcontrib>Li, Fashuai</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Tehnički vjesnik</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Wenbin</au><au>Zhang, Hongdan</au><au>Cao, Yungang</au><au>Zhang, Xiaolei</au><au>Ji, Xuefeng</au><au>Li, Fashuai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MONITORING THE ECOLOGICAL ENVIRONMENT OF OPEN-PIT COALFIELDS IN COLD ZONES OF NORTHEAST CHINA USING LANDSAT TIME SERIES IMAGES OF 2000-2015</atitle><jtitle>Tehnički vjesnik</jtitle><date>2017-02-01</date><risdate>2017</risdate><volume>24</volume><issue>1</issue><spage>129</spage><pages>129-</pages><issn>1330-3651</issn><eissn>1848-6339</eissn><abstract>Evaluating the deterioration of ecological environment and vegetation of coalfields caused by China’s large-scale coal mining activities is important because of the fragile ecological environment and low temperature in cold and arid areas. This study takes the open coal pits of Haizhou, Gulianhe, and Huolinhe as examples and proposes a method for evaluating their ecological environment using Landsat time series images based on the Normalized Difference Vegetation Index (NDVI) variations of open-pit coalfields in cold and arid zones. The average NDVI value of the mining area each month was calculated using Landsat image data from 2000 to 2015. The vegetation cover area in the coalfields was extracted according to the NDVI threshold, and the scatter plots of the annual maximum NDVI and vegetation cover area were drawn. We fitted the variation trend line of maximum NDVI value and vegetation cover area to reduce the effect of meteorological factors on NDVI values. Results show that after the closure of open pit and reclamation of dump area, the NDVI of open-pit coalfields and vegetation cover area have been increasing rapidly over the last decade, and the ecological environment of these coalfields has obviously improved. The coal mining activities have led to the rapid decline of annual maximum NDVI and vegetation cover area of the coalfields in permafrost zones, and the ecological environment of coalfields continues to deteriorate. Although the quarterly average NDVI remains unchanged in non-permafrost mining coalfields under coal exploitation, the vegetation cover area in the coalfields decreases linearly, indicating that the ecological environment of the coalfields tends to deteriorate. From an ecological environment protection perspective, the results of this study provide a basis for decision making in constructing large-scale open pits in cold and arid zones.</abstract><cop>Slavonski Baod</cop><pub>Josipa Jurja Strossmayer University of Osijek</pub><doi>10.17559/TV-20161201095758</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1330-3651 |
ispartof | Tehnički vjesnik, 2017-02, Vol.24 (1), p.129 |
issn | 1330-3651 1848-6339 |
language | eng |
recordid | cdi_proquest_journals_2036775290 |
source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Arid regions Arid zones Coal mines Coal mining Cold Cold weather construction Decision making Deterioration Ecological effects Ecological monitoring Environmental monitoring Environmental protection Landsat satellites Mathematical analysis Normalized difference vegetative index Permafrost Pits Reclamation Satellite imagery Time series Vegetation |
title | MONITORING THE ECOLOGICAL ENVIRONMENT OF OPEN-PIT COALFIELDS IN COLD ZONES OF NORTHEAST CHINA USING LANDSAT TIME SERIES IMAGES OF 2000-2015 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T04%3A56%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MONITORING%20THE%20ECOLOGICAL%20ENVIRONMENT%20OF%20OPEN-PIT%20COALFIELDS%20IN%20COLD%20ZONES%20OF%20NORTHEAST%20CHINA%20USING%20LANDSAT%20TIME%20SERIES%20IMAGES%20OF%202000-2015&rft.jtitle=Tehni%C4%8Dki%20vjesnik&rft.au=Sun,%20Wenbin&rft.date=2017-02-01&rft.volume=24&rft.issue=1&rft.spage=129&rft.pages=129-&rft.issn=1330-3651&rft.eissn=1848-6339&rft_id=info:doi/10.17559/TV-20161201095758&rft_dat=%3Cproquest%3E2036775290%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2036775290&rft_id=info:pmid/&rfr_iscdi=true |