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

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。

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

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.