地理研究

地理研究 ›› 2014, Vol. 33 ›› Issue (4): 625-634.doi: 10.11821/dlyj201404003

• 论文 • 上一篇    下一篇

基于DMSP/OLS夜间灯光数据的1995-2009年中国地级市能源消费动态

吴健生1,2, 牛妍1, 彭建1,2, 王政3, 黄秀兰1   

  1. 1. 北京大学深圳研究生院城市规划与设计学院城市人居环境科学与技术重点实验室, 广东 深圳 518055;
    2. 北京大学城市与环境学院资源与环境地理系地表过程与模拟教育部重点实验室, 北京 100871;
    3. 嘉兴市南湖区住房与城乡规划建设局, 浙江 嘉兴 314051
  • 收稿日期:2013-08-22 修回日期:2014-01-25 出版日期:2014-04-10 发布日期:2014-04-10
  • 作者简介:吴健生（1965-），男，湖南新化人，教授，研究方向为城市景观生态和GIS。E-mail：wujs@szpku.edu.cn
  • 基金资助:
    国家自然科学基金项目（41271101）

Research on energy consumption dynamic among prefecture-level cities in China based on DMSP/OLS Nighttime Light

WU Jiansheng1,2, NIU Yan1, PENG Jian1,2, WANG Zheng3, HUANG Xiulan1   

  1. 1. The Key Laboratory for Environmental and Urban Sciences, Shenzhen Graduate School, School of Urban Planning & Design, Peking University, Shenzhen 518055, Guangdong, China;
    2. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
    3. Housing and Urban-Rural Development Bureau of Nanhu District, Jiaxing 314051, Zhejiang, China
  • Received:2013-08-22 Revised:2014-01-25 Online:2014-04-10 Published:2014-04-10

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摘要： 能源是国民经济发展的重要支撑，便捷准确地获取能源消费时空动态信息，对于合理制定能源政策具有重要意义。基于DMSP/OLS 夜间灯光数据和能源统计数据之间的定量关联，在地级市尺度上模拟了中国1995-2009 年能源消费的空间格局，并采用空间自相关分析探讨其时空动态特征。研究表明：基于DMSP/OLS夜间灯光数据模拟中国各地市能源消费具有一定的可行性，该数据能够比较可靠地反映能源消费的时空动态；1995-2009 年中国大多数地市的能源消费量较低，中低强度能源消费区土地面积占全国72.66%，高能源消费强度区集中分布在中国东部地区；中国能源消费量存在显著的空间集聚性（历年Moran’s I 指数都大于0.4），全国地级市能源消费“高—高”聚集和“低—低”聚集现象明显。

关键词: DMSP/OLS, 能源消费量模拟, 空间自相关分析, 地级市

Abstract: Energy is an important support of the development of the national economy. Getting dynamic information of the total energy consumption, conveniently and accurately, has important reference significance(s) for making energy policy, rationally. Using DMSP/ OLS nighttime lights data, this paper simulates the spatiotemporal pattern of energy consumption among the cities of Chinese mainland from 1995 to 2009, in a prefecture-level city scale; the application of spatial autocorrelation method reveals the spatial and temporal characteristics of the energy consumption in Chinese mainland during the study period. The results show that: simulating energy consumption among prefecture-level cities in China based on DMSP/OLS Nighttime Light is feasible. DMSP/OLS nighttime lights data can reflect the spatial and temporal dynamics of energy consumption more reliably. The energy consumption of most cities is lower in Chinese mainland from 1995 to 2009. Lower and middle intensity energy consumption area accounted for 72.66% of the country's total area. High intensity energy consumption areas are mainly located in the eastern part of China. There is a significant spatial aggregation in energy consumption in China (Moran's I index over the years is greater than 0.4). There is a "high-high" aggregation and a "low-low" aggregation phenomenon of energy consumption among prefecture-level cities in China.

Key words: DMSP/OLS, energy consumption simulation, spatial autocorrelation, prefecturelevel cities