GEOGRAPHICAL RESEARCH ›› 2014, Vol. 33 ›› Issue (4): 625-634.doi: 10.11821/dlyj201404003

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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

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