1.School of Resources and Environment Science, Xinjiang University, Urumqi 830046, China 2.Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
All the energy problems in different countries or regions are facing great challenges. The timely and accurate grasp of the spatial dynamic change of energy consumption can make reasonable layout to occupy the initiative, make the optimal allocation of energy structure and put forward the feasible solution. In this paper, the authors put forward the combined DMSP/OLS night light data from 1992 to 2013 and Xinjiang statistical yearbook and the application of mathematical statistics and analysis method, selected the average light intensity, DN value and light area as independent variables by using multiple regression analysis. Considering the downscaling and modifying the model, the authors made the simulation of the Xinjiang state municipal energy consumption data, and made grading of the spatial distribution difference of annual simulation data. It is found that Changji, Urumqi, Tacheng and Kashihave relatively high energy consumption level. This paper puts forward a new method for the study of dynamic energy consumption in Xinjiang.
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2019, Vol. 31 
), 程珍珍1,2
