Study On Spatial And Temporal Dynamic Evolution Of Energy Consumption In Prefecture-Level City Of China Based On Multi-source Remote Sensing Data

Recently, Chinese energy consumption sharply rises and the resulting atmospheric pollution is increasing continuously. Energy security and energy consumption pollution have become the focus of the whole society's attention. For the research on energy consumption issue, the primary tasks are to obtain energy consumption data accurately using a convenient method and analyze its spatial and temporal evolution laws.In the past, it mainly depends on National Bureau of Statistics and local statistical departments for access to energy consumption data. However, there are only total energy consumption statistics at national and provincial level, but no statistics of several consecutive years at prefecture level in China. The statistical coverage of total energy consumption is relatively large which results in being unable to monitor dynamically and study energy consumption at prefecture level or smaller scale level. In addition, energy consumption statistics at provincial level has some disadvantages including time-lag effect, artificial influence and the lack of spatial distribution information which causes defects in application. With the development of space detection technology, the remote sensing technology creates a new method to spatialize the socio-economic variable. Hence, DMSP/OLS nighttime light data is used to study energy consumption by some scholars. But, there still exit obvious deficiencies in this kind of research. With super-saturation and overflow of pixel, DMSP/OLS nighttime light data shall cause certain errors in simulation. Meanwhile, the quantization of this data is low with only 64-level. And its spectral resolution is low.Considering the weakness of DMSP/OLS nighttime light data, MODIS satellite data with higher quantization and spectral resolution and its NDVI product data are used in the paper. DMSP/OLS nighttime light data is combined with MODIS-NDVI remote sensing data to create VANUI index, and then SRTM3 DEM data is used to revise altitude for VANUI index. Based on the revised VANUI index, this paper simulates total energy consumption at prefecture level in China in the period 2000-2010, and uses mathematical statistic method and ESDA-GIS spatial analysis method to study spatial and temporal evolution characteristics of energy consumption.The results show that:(1) it is feasible to monitor spatial and temporal dynamic of energy consumption by combining DMSP/OLS, MODIS-NDVI and SRTM3 DEM. And the accuracy of simulation is higher.(2) Total energy consumption of China and its absolute difference appear a rapidly rising trend.(3) The distribution of Energy consumption at prefecture level are significant different in the whole nation, the east, middle, west zone and main urban agglomerations.(4) Total energy consumption at prefecture level shows significant positive spatial autocorrelation. At the same time, the spatial distribution of total energy consumption presents a gradient descending from the east to west zone, and the geographical scope of high hot area of energy consumption appears a decreasing trend in China.