Spatiotemporal dynamics of electric power consumption in Chinese Mainland from 1995 to 2008 modeled using DMSP/OLS stable nighttime lights data
Electric power consumption (EPC) is one of the basic indices for evaluating electric power use. Obtaining timely and accurate data on the spatiotemporal dynamics of EPC is crucial for understanding and practical deployment of electric power resources. In this study, an EPC model was developed using...
Gespeichert in:
Veröffentlicht in: | Journal of geographical sciences 2012-02, Vol.22 (1), p.125-136 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 136 |
---|---|
container_issue | 1 |
container_start_page | 125 |
container_title | Journal of geographical sciences |
container_volume | 22 |
creator | 何春阳 马群 李通 杨洋 刘志锋 |
description | Electric power consumption (EPC) is one of the basic indices for evaluating electric power use. Obtaining timely and accurate data on the spatiotemporal dynamics of EPC is crucial for understanding and practical deployment of electric power resources. In this study, an EPC model was developed using stable nighttime lights time-series data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS). The model was used to reconstruct the spatial patterns of EPC in Chinese Mainland at the county level from 1995 to 2008. In addition, the spatiotemporal dynamics of EPC were analyzed, and the fol-lowing conclusions were drawn. (1) The EPC model reliably represented the spatiotemporal dynamics of EPC in Chinese Mainland with approximately 70% accuracy. (2) The EPC in most regions of Chinese Mainland was at low to moderate levels, with marked temporal and spatial variations; of high-level EPC, 58.26% was concentrated in eastern China. Six urban agglomerations (Beijing-Tianjin-Tangshan region, Shanghai-Nanjing-Hangzhou region, Pearl River Delta, Shandong Peninsula, middle-south of Liaoning Province, and Sichuan Basin) accounted for 10.69% of the total area of Chinese Mainland but consumed 39.23% of the electricity. (3) The EPC of most regions in Chinese Mainland increased from 1995 to 2008, and 64% of the mainland area showed a significant increase in EPC. Moderate increases in EPC were found in 61.62% of eastern China and 80.65% of central China from 1995 to 2008, whereas 75.69% of western China showed no significant increase in EPC. Meanwhile, 77.27%, 89.35%, and 66.72% of the Shanghai-Nanjing-Hangzhou region, Pearl River Delta, and Shandong Peninsula, respectively, showed high-speed increases in EPC. Moderate increases in EPC occurred in 71.12% and 72.13% of the Beijing-Tianjin-Tangshan region and middle-south of Liaoning Province, respectively, while no significant increase occurred in 56.34% of the Sichuan Basin. |
doi_str_mv | 10.1007/s11442-012-0916-3 |
format | Article |
fullrecord | <record><control><sourceid>wanfang_jour_proqu</sourceid><recordid>TN_cdi_wanfang_journals_dlxb_e201201010</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>40726098</cqvip_id><wanfj_id>dlxb_e201201010</wanfj_id><sourcerecordid>dlxb_e201201010</sourcerecordid><originalsourceid>FETCH-LOGICAL-c404t-206b58162b23ed92a6dee3fbe07a65bd58a8870cbda64cbaf467bd9c68fb6ea73</originalsourceid><addsrcrecordid>eNp9kd9qFDEUxgdRsFYfwLuIiFdjk8xMJrmUVauwpcIqeBdO_sxsykwyTbLUPoWv3CyztHcSQg7k933ncL6qekvwJ4Jxf5EIaVtaY1KuIKxunlVnhDNSi47x56XGWNSs6f-8rF6ldINxI1pGz6p_uwWyC9nOS4gwIXPvYXY6oTAgO1mdo9NoCXc2Ih18OsxLoT1yHm32zttk0RU4P4E3aIhhRkSIDuWAKMYczcEUD4MOyfkRfbna_by43u5QyqAmi7wb9zm72aLpWCVkIMPr6sUAU7JvTu959fvb11-b7_X2-vLH5vO21i1uc00xUx0njCraWCMoMGNtMyiLe2CdMh0HznuslQHWagVDy3plhGZ8UMxC35xXH1ffO_AD-FHehEP0paM0018lLS2bxKScQr5fySWG24NN-Qmloqy4ZaLnhSIrpWNIKdpBLtHNEO8lwfKYkFwTksVXHhOSTdF8ODlD0jANEbx26VFIOyFo03aFoyuXypcfbXya4H_m704D7YMfb4vu0bjFPWVY8OYBQfWsKw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2918646978</pqid></control><display><type>article</type><title>Spatiotemporal dynamics of electric power consumption in Chinese Mainland from 1995 to 2008 modeled using DMSP/OLS stable nighttime lights data</title><source>ProQuest Central UK/Ireland</source><source>SpringerLink Journals - AutoHoldings</source><source>ProQuest Central</source><creator>何春阳 马群 李通 杨洋 刘志锋</creator><creatorcontrib>何春阳 马群 李通 杨洋 刘志锋</creatorcontrib><description>Electric power consumption (EPC) is one of the basic indices for evaluating electric power use. Obtaining timely and accurate data on the spatiotemporal dynamics of EPC is crucial for understanding and practical deployment of electric power resources. In this study, an EPC model was developed using stable nighttime lights time-series data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS). The model was used to reconstruct the spatial patterns of EPC in Chinese Mainland at the county level from 1995 to 2008. In addition, the spatiotemporal dynamics of EPC were analyzed, and the fol-lowing conclusions were drawn. (1) The EPC model reliably represented the spatiotemporal dynamics of EPC in Chinese Mainland with approximately 70% accuracy. (2) The EPC in most regions of Chinese Mainland was at low to moderate levels, with marked temporal and spatial variations; of high-level EPC, 58.26% was concentrated in eastern China. Six urban agglomerations (Beijing-Tianjin-Tangshan region, Shanghai-Nanjing-Hangzhou region, Pearl River Delta, Shandong Peninsula, middle-south of Liaoning Province, and Sichuan Basin) accounted for 10.69% of the total area of Chinese Mainland but consumed 39.23% of the electricity. (3) The EPC of most regions in Chinese Mainland increased from 1995 to 2008, and 64% of the mainland area showed a significant increase in EPC. Moderate increases in EPC were found in 61.62% of eastern China and 80.65% of central China from 1995 to 2008, whereas 75.69% of western China showed no significant increase in EPC. Meanwhile, 77.27%, 89.35%, and 66.72% of the Shanghai-Nanjing-Hangzhou region, Pearl River Delta, and Shandong Peninsula, respectively, showed high-speed increases in EPC. Moderate increases in EPC occurred in 71.12% and 72.13% of the Beijing-Tianjin-Tangshan region and middle-south of Liaoning Province, respectively, while no significant increase occurred in 56.34% of the Sichuan Basin.</description><identifier>ISSN: 1009-637X</identifier><identifier>EISSN: 1861-9568</identifier><identifier>DOI: 10.1007/s11442-012-0916-3</identifier><language>eng</language><publisher>Heidelberg: SP Science Press</publisher><subject>Asia ; Bgi / Prodig ; China ; DMSP ; Earth and Environmental Science ; Electric power ; Electric power generation ; Electricity distribution ; EPC模式 ; Geographical Information Systems/Cartography ; Geography ; Human geography ; Meteorological satellites ; Nature Conservation ; OLS ; Physical Geography ; Power consumption ; Remote Sensing/Photogrammetry ; Rivers ; Urban areas ; 中国内地 ; 光稳定 ; 时空动态模拟 ; 灯光 ; 电力消费</subject><ispartof>Journal of geographical sciences, 2012-02, Vol.22 (1), p.125-136</ispartof><rights>Science China Press and Springer-Verlag Berlin Heidelberg 2012</rights><rights>Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2012</rights><rights>Science China Press and Springer-Verlag Berlin Heidelberg 2012.</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-206b58162b23ed92a6dee3fbe07a65bd58a8870cbda64cbaf467bd9c68fb6ea73</citedby><cites>FETCH-LOGICAL-c404t-206b58162b23ed92a6dee3fbe07a65bd58a8870cbda64cbaf467bd9c68fb6ea73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85906X/85906X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11442-012-0916-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918646978?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21388,27924,27925,33744,41488,42557,43805,51319,64385,64389,72469</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25992345$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>何春阳 马群 李通 杨洋 刘志锋</creatorcontrib><title>Spatiotemporal dynamics of electric power consumption in Chinese Mainland from 1995 to 2008 modeled using DMSP/OLS stable nighttime lights data</title><title>Journal of geographical sciences</title><addtitle>J. Geogr. Sci</addtitle><addtitle>Journal of Geographical Sciences</addtitle><description>Electric power consumption (EPC) is one of the basic indices for evaluating electric power use. Obtaining timely and accurate data on the spatiotemporal dynamics of EPC is crucial for understanding and practical deployment of electric power resources. In this study, an EPC model was developed using stable nighttime lights time-series data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS). The model was used to reconstruct the spatial patterns of EPC in Chinese Mainland at the county level from 1995 to 2008. In addition, the spatiotemporal dynamics of EPC were analyzed, and the fol-lowing conclusions were drawn. (1) The EPC model reliably represented the spatiotemporal dynamics of EPC in Chinese Mainland with approximately 70% accuracy. (2) The EPC in most regions of Chinese Mainland was at low to moderate levels, with marked temporal and spatial variations; of high-level EPC, 58.26% was concentrated in eastern China. Six urban agglomerations (Beijing-Tianjin-Tangshan region, Shanghai-Nanjing-Hangzhou region, Pearl River Delta, Shandong Peninsula, middle-south of Liaoning Province, and Sichuan Basin) accounted for 10.69% of the total area of Chinese Mainland but consumed 39.23% of the electricity. (3) The EPC of most regions in Chinese Mainland increased from 1995 to 2008, and 64% of the mainland area showed a significant increase in EPC. Moderate increases in EPC were found in 61.62% of eastern China and 80.65% of central China from 1995 to 2008, whereas 75.69% of western China showed no significant increase in EPC. Meanwhile, 77.27%, 89.35%, and 66.72% of the Shanghai-Nanjing-Hangzhou region, Pearl River Delta, and Shandong Peninsula, respectively, showed high-speed increases in EPC. Moderate increases in EPC occurred in 71.12% and 72.13% of the Beijing-Tianjin-Tangshan region and middle-south of Liaoning Province, respectively, while no significant increase occurred in 56.34% of the Sichuan Basin.</description><subject>Asia</subject><subject>Bgi / Prodig</subject><subject>China</subject><subject>DMSP</subject><subject>Earth and Environmental Science</subject><subject>Electric power</subject><subject>Electric power generation</subject><subject>Electricity distribution</subject><subject>EPC模式</subject><subject>Geographical Information Systems/Cartography</subject><subject>Geography</subject><subject>Human geography</subject><subject>Meteorological satellites</subject><subject>Nature Conservation</subject><subject>OLS</subject><subject>Physical Geography</subject><subject>Power consumption</subject><subject>Remote Sensing/Photogrammetry</subject><subject>Rivers</subject><subject>Urban areas</subject><subject>中国内地</subject><subject>光稳定</subject><subject>时空动态模拟</subject><subject>灯光</subject><subject>电力消费</subject><issn>1009-637X</issn><issn>1861-9568</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kd9qFDEUxgdRsFYfwLuIiFdjk8xMJrmUVauwpcIqeBdO_sxsykwyTbLUPoWv3CyztHcSQg7k933ncL6qekvwJ4Jxf5EIaVtaY1KuIKxunlVnhDNSi47x56XGWNSs6f-8rF6ldINxI1pGz6p_uwWyC9nOS4gwIXPvYXY6oTAgO1mdo9NoCXc2Ih18OsxLoT1yHm32zttk0RU4P4E3aIhhRkSIDuWAKMYczcEUD4MOyfkRfbna_by43u5QyqAmi7wb9zm72aLpWCVkIMPr6sUAU7JvTu959fvb11-b7_X2-vLH5vO21i1uc00xUx0njCraWCMoMGNtMyiLe2CdMh0HznuslQHWagVDy3plhGZ8UMxC35xXH1ffO_AD-FHehEP0paM0018lLS2bxKScQr5fySWG24NN-Qmloqy4ZaLnhSIrpWNIKdpBLtHNEO8lwfKYkFwTksVXHhOSTdF8ODlD0jANEbx26VFIOyFo03aFoyuXypcfbXya4H_m704D7YMfb4vu0bjFPWVY8OYBQfWsKw</recordid><startdate>20120201</startdate><enddate>20120201</enddate><creator>何春阳 马群 李通 杨洋 刘志锋</creator><general>SP Science Press</general><general>Springer Nature B.V</general><general>State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China</general><general>College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W94</scope><scope>~WA</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20120201</creationdate><title>Spatiotemporal dynamics of electric power consumption in Chinese Mainland from 1995 to 2008 modeled using DMSP/OLS stable nighttime lights data</title><author>何春阳 马群 李通 杨洋 刘志锋</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-206b58162b23ed92a6dee3fbe07a65bd58a8870cbda64cbaf467bd9c68fb6ea73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Asia</topic><topic>Bgi / Prodig</topic><topic>China</topic><topic>DMSP</topic><topic>Earth and Environmental Science</topic><topic>Electric power</topic><topic>Electric power generation</topic><topic>Electricity distribution</topic><topic>EPC模式</topic><topic>Geographical Information Systems/Cartography</topic><topic>Geography</topic><topic>Human geography</topic><topic>Meteorological satellites</topic><topic>Nature Conservation</topic><topic>OLS</topic><topic>Physical Geography</topic><topic>Power consumption</topic><topic>Remote Sensing/Photogrammetry</topic><topic>Rivers</topic><topic>Urban areas</topic><topic>中国内地</topic><topic>光稳定</topic><topic>时空动态模拟</topic><topic>灯光</topic><topic>电力消费</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>何春阳 马群 李通 杨洋 刘志锋</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-自然科学</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of geographical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>何春阳 马群 李通 杨洋 刘志锋</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal dynamics of electric power consumption in Chinese Mainland from 1995 to 2008 modeled using DMSP/OLS stable nighttime lights data</atitle><jtitle>Journal of geographical sciences</jtitle><stitle>J. Geogr. Sci</stitle><addtitle>Journal of Geographical Sciences</addtitle><date>2012-02-01</date><risdate>2012</risdate><volume>22</volume><issue>1</issue><spage>125</spage><epage>136</epage><pages>125-136</pages><issn>1009-637X</issn><eissn>1861-9568</eissn><abstract>Electric power consumption (EPC) is one of the basic indices for evaluating electric power use. Obtaining timely and accurate data on the spatiotemporal dynamics of EPC is crucial for understanding and practical deployment of electric power resources. In this study, an EPC model was developed using stable nighttime lights time-series data from the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS). The model was used to reconstruct the spatial patterns of EPC in Chinese Mainland at the county level from 1995 to 2008. In addition, the spatiotemporal dynamics of EPC were analyzed, and the fol-lowing conclusions were drawn. (1) The EPC model reliably represented the spatiotemporal dynamics of EPC in Chinese Mainland with approximately 70% accuracy. (2) The EPC in most regions of Chinese Mainland was at low to moderate levels, with marked temporal and spatial variations; of high-level EPC, 58.26% was concentrated in eastern China. Six urban agglomerations (Beijing-Tianjin-Tangshan region, Shanghai-Nanjing-Hangzhou region, Pearl River Delta, Shandong Peninsula, middle-south of Liaoning Province, and Sichuan Basin) accounted for 10.69% of the total area of Chinese Mainland but consumed 39.23% of the electricity. (3) The EPC of most regions in Chinese Mainland increased from 1995 to 2008, and 64% of the mainland area showed a significant increase in EPC. Moderate increases in EPC were found in 61.62% of eastern China and 80.65% of central China from 1995 to 2008, whereas 75.69% of western China showed no significant increase in EPC. Meanwhile, 77.27%, 89.35%, and 66.72% of the Shanghai-Nanjing-Hangzhou region, Pearl River Delta, and Shandong Peninsula, respectively, showed high-speed increases in EPC. Moderate increases in EPC occurred in 71.12% and 72.13% of the Beijing-Tianjin-Tangshan region and middle-south of Liaoning Province, respectively, while no significant increase occurred in 56.34% of the Sichuan Basin.</abstract><cop>Heidelberg</cop><pub>SP Science Press</pub><doi>10.1007/s11442-012-0916-3</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1009-637X |
ispartof | Journal of geographical sciences, 2012-02, Vol.22 (1), p.125-136 |
issn | 1009-637X 1861-9568 |
language | eng |
recordid | cdi_wanfang_journals_dlxb_e201201010 |
source | ProQuest Central UK/Ireland; SpringerLink Journals - AutoHoldings; ProQuest Central |
subjects | Asia Bgi / Prodig China DMSP Earth and Environmental Science Electric power Electric power generation Electricity distribution EPC模式 Geographical Information Systems/Cartography Geography Human geography Meteorological satellites Nature Conservation OLS Physical Geography Power consumption Remote Sensing/Photogrammetry Rivers Urban areas 中国内地 光稳定 时空动态模拟 灯光 电力消费 |
title | Spatiotemporal dynamics of electric power consumption in Chinese Mainland from 1995 to 2008 modeled using DMSP/OLS stable nighttime lights data |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T18%3A03%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatiotemporal%20dynamics%20of%20electric%20power%20consumption%20in%20Chinese%20Mainland%20from%201995%20to%202008%20modeled%20using%20DMSP/OLS%20stable%20nighttime%20lights%20data&rft.jtitle=Journal%20of%20geographical%20sciences&rft.au=%E4%BD%95%E6%98%A5%E9%98%B3%20%E9%A9%AC%E7%BE%A4%20%E6%9D%8E%E9%80%9A%20%E6%9D%A8%E6%B4%8B%20%E5%88%98%E5%BF%97%E9%94%8B&rft.date=2012-02-01&rft.volume=22&rft.issue=1&rft.spage=125&rft.epage=136&rft.pages=125-136&rft.issn=1009-637X&rft.eissn=1861-9568&rft_id=info:doi/10.1007/s11442-012-0916-3&rft_dat=%3Cwanfang_jour_proqu%3Edlxb_e201201010%3C/wanfang_jour_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2918646978&rft_id=info:pmid/&rft_cqvip_id=40726098&rft_wanfj_id=dlxb_e201201010&rfr_iscdi=true |