地理学报 ›› 2011, Vol. 66 ›› Issue (10): 1403-1412.doi: 10.11821/xb201110010

• 产业与区域发展 • 上一篇    下一篇

1995-2008 年中国大陆电力消费量时空动态

李通1,2, 何春阳1,2, 杨洋1,2, 刘志锋1,2   

  1. 1. 北京师范大学地表过程与资源生态国家重点实验室, 北京 100875;
    2. 北京师范大学资源学院, 北京 100875
  • 收稿日期:2011-01-31 修回日期:2011-07-12 出版日期:2011-10-20 发布日期:2011-11-27
  • 通讯作者: 何春阳, 男, 四川射洪人, 博士, 副教授, 中国地理学会会员(S110005215M), 主要从事遥感应用与城市化研究。E-mail: hcy@bnu.edu.cn E-mail:hcy@bnu.edu.cn
  • 作者简介:李通(1986-), 男, 山西长治人, 硕士研究生, 主要从事土地资源管理研究。
  • 基金资助:

    国家重点基础研究发展计划(973 计划) (2010CB950901);国家自然科学基金项目(40971059)

Understanding Electricity Consumption Changes in Chinese Mainland from 1995 to 2008 by Using DMSP/OLS Stable Nighttime Light Time Series Data

LI Tong1,2, HE Chunyang1,2, YANG Yang1,2, LIU Zhifeng1,2   

  1. 1. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;
    2. College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China
  • Received:2011-01-31 Revised:2011-07-12 Online:2011-10-20 Published:2011-11-27
  • Supported by:

    The National Basic Research Program of China, No.2010CB950901; National Natural Science Foundation of China, No.40971059

摘要: 电力消费量是定量衡量电力消费状况的一个基本指标。及时、准确地获取电力消费量的时空动态信息,对于合理配置中国电力资源具有重要的理论和现实意义。利用DMSP/OLS 稳定夜间灯光时间序列数据,在县级尺度上模拟重建了中国大陆1995-2008 年电力消费的空间格局,揭示了中国大陆同期电力消费量的时空动态过程。结果表明:① 利用DMSP/OLS数据能够比较可靠地反映中国大陆1995-2008 年电力消费量的时空动态,精度达到70%左右,具有一定的可行性。② 中国大陆1995-2008 年电力消费量以中低消费级别为主,但空间分布差异明显,占全国总面积10.69%的京津唐、沪宁杭、珠三角、山东半岛、辽中南地区、四川盆地等六大城市群地区是中国电力消费最为集中的区域,共消耗了中国39.23%的电力资源。③ 中国大陆1995-2008 年电力消费量表现出比较明显的增长趋势,电力消费量呈明显增长趋势的区域面积占全国总面积的64.00%。

关键词: DMSP/OLS, 电力消费量, 时空动态, 中国大陆

Abstract: Electricity consumption (EC) is one of the basic indexes for the evaluation of electric power situation. Obtaining timely and accurate spatio-temporal changes of EC is significant for reasonable allocation of electric power resources. In this study, EC simulation model was developed by using the DMSP/OLS stable nighttime light time series data. The model was used to reconstruct the spatial patterns of EC in Chinese mainland at the county level from 1995 to 2008. In addition, the spatio-temporal changes of EC were analyzed. Some conclusions can be drawn as follows: (1) The electricity consumption simulation model was reliable to represent the spatio-temporal changes of EC in Chinese mainland with an about 70% accuracy. (2) The EC of most regions in Chinese mainland was at low to medium level with marked temporal and spatial variations, while 49.72% of the high level EC was concentrated in eastern China. The 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 in Chinese mainland, and consumed 39.23% of electricity. (3) The EC of most regions in Chinese mainland increased from 1995 to 2008, and 64% of the regions showed a significant increase in EC. The EC of eastern and central China showed a medium-speed increase from 1995 to 2008, being 61.62% and 80.65%, respectively, while the EC of 75.69% of western China showed no significant increase. Specifically, the EC showed a high-speed increase in the Shanghai-Nanjing-Hangzhou region, Pearl River Delta, Shandong Peninsula, being 77.27%, 89.35% and 66.72%, respectively. The EC showed a medium-speed increase in the Beijing-Tianjin-Tangshan region (71.12%) and middle-south of Liaoning Province (72.13%), while 56.34% of Sichuan Basin showed no significant increase.

Key words: DMSP/OLS, electricity consumption, spatio-temporal changes, Chinese mainland