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Remote Sensing for Land & Resources    2019, Vol. 31 Issue (1) : 212-219     DOI: 10.6046/gtzyyg.2019.01.28
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Research on energy consumption of Xinjiang based on DMSP/OLS night light data from 1992 to 2013
Xiaojing FAN1,2, Yongfu ZHANG1,2(), Zhenzhen CHENG1,2
1.School of Resources and Environment Science, Xinjiang University, Urumqi 830046, China
2.Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China
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Abstract  

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.
Keywords DMSP/OLS night light data      energy consumption      regression analysis      spatialization     
:  TP79  
Corresponding Authors: Yongfu ZHANG     E-mail: 2812164105@qq.com
Issue Date: 14 March 2019
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Xiaojing FAN
Yongfu ZHANG
Zhenzhen CHENG
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Xiaojing FAN,Yongfu ZHANG,Zhenzhen CHENG. Research on energy consumption of Xinjiang based on DMSP/OLS night light data from 1992 to 2013[J]. Remote Sensing for Land & Resources, 2019, 31(1): 212-219.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.01.28     OR     https://www.gtzyyg.com/EN/Y2019/V31/I1/212
传感器 F10 F12 F14 F15 F16 F18
年份 1992年 1994年 1997年 2000年 2004年 2010年
1993年 1995年 1998年 2001年 2005年 2011年
1994年 1996年 1999年 2002年 2006年 2012年
1997年 2000年 2003年 2007年 2013年
1998年 2001年 2004年 2008年
1999年 2002年 2005年 2009年
2003年 2006年
2007年
Tab.1  Sensors involved in DMSP/OLS
Fig.1  Comparison of total DN value of night light data before and after correction from 1992 to 2013 in Xinjiang
Fig.2  Correlation analysis of night light data and energy consumption data
Fig.3  One dimensional regression analysis of night light data and energy consumption data
年份 统计值/万t标准煤 一元回归值/万t标准煤 多元回归值/万t标准煤 一元回归相对误差/% 多元回归相对误差/%
1992 2 260.76 1 891.337 2 278.750 -19.53 0.80
1993 2 496.98 2 200.477 2 451.600 -13.47 -1.82
1994 2 605.67 2 270.774 2 399.050 -14.75 -7.93
1995 2 733.04 2 782.223 2 765.390 1.77 1.18
1996 3 045.16 3 114.827 3 032.510 2.24 -0.42
1997 3 208.24 3 209.200 3 135.530 0.03 -2.27
1998 3 279.75 3 440.532 3 369.140 4.67 2.73
1999 3 215.02 3 561.534 3 471.390 9.73 7.97
2000 3 316.03 3 795.533 3 679.080 12.63 10.95
2001 3 496.44 3 875.107 3 712.960 9.77 6.19
2002 3 622.40 4 135.205 3 877.070 12.40 7.03
2003 4 064.43 4 416.460 4 365.160 7.97 7.40
2004 4 784.83 4 902.094 4 889.020 2.39 2.18
2005 5 506.49 5 239.612 5 426.190 -5.09 -1.46
2006 6 047.27 5 500.410 5 527.870 -9.94 -8.59
2007 6 575.92 6 189.842 6 364.730 -6.24 -3.21
2008 7 069.39 6 578.315 6 615.900 -7.47 -6.41
2009 7 525.56 6 827.974 6 718.280 -10.22 -10.73
2010 8 290.2 9 190.153 8 931.560 9.79 7.74
2011 9 926.5 10 067.900 10 698.910 1.40 7.78
2012 11 831.62 11 013.230 10 953.190 -7.43 -7.42
2013 13 631.79 13 250.060 13 870.200 -2.88 1.75
Tab.2  Accuracy test of one dimensional and multiple regression analysis model
年份 统计年鉴数据/万t标准煤 区级模拟值/万t标准煤 空间化相加数据 区级相对误差/% 空间化相对误差/%
1992年 2 260.76 2 278.75 2 278.750 225 0.80 0.80
1993年 2 496.98 2 451.60 2 451.604 627 -1.82 -1.82
1994年 2 605.67 2 399.05 2 399.053 456 -7.93 -7.93
1995年 2 733.04 2 765.39 2 765.393 542 1.18 1.18
1996年 3 045.16 3 032.51 3 032.505 582 -0.42 -0.42
1997年 3 208.24 3 135.53 3 135.625 339 -2.27 -2.26
1998年 3 279.75 3 369.14 3 369.517 051 2.73 2.74
1999年 3 215.02 3 471.39 3 471.765 375 7.97 7.99
2000年 3 316.03 3 679.08 3 679.169 928 10.95 10.95
2001年 3 496.44 3 712.96 3 712.962 645 6.19 6.19
2002年 3 622.40 3 877.07 3 877.415 259 7.03 7.04
2003年 4 064.43 4 365.16 4 365.161 827 7.40 7.40
2004年 4 784.83 4 889.02 4 889.015 756 2.18 2.18
2005年 5 506.49 5 426.19 5 426.547 456 -1.46 -1.45
2006年 6 047.27 5 527.87 5 528.041 873 -8.59 -8.59
2007年 6 575.92 6 364.73 6 323.002 328 -3.21 -3.85
2008年 7 069.39 6 615.90 6 617.492 686 -6.41 -6.39
2009年 7 525.56 6 718.28 6 718.015 228 -10.73 -10.73
2010年 8 290.20 8 931.56 8 931.354 866 7.74 7.73
2011年 9 926.50 10 698.91 10 698.656 750 7.78 7.78
2012年 11 831.62 10 953.19 10 962.484 250 -7.42 -7.35
2013年 13 631.79 13 870.20 13 876.866 350 1.75 1.80
Tab.3  Xinjiang energy consumption spatialization achievement check
Fig.4  Energy consumption simulation data distribution in Xinjiang from 1992 to 2013
能源消费等级 低 中 较高 高
划分标准 <E-0.5s① [E-0.5s,E+0.5s) [E+0.5s,E+1.5s) >E+1.5s
能源消费量(万t标准煤) [0,240) [240,440) [441,640) [640,880)
Tab.4  Xinjiang energy consumption classification standard
Fig.5  Energy consumption level simulation diagram in Xinjiang from 1992 to 2013
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