Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery

被引:76
作者
Zhao, Naizhuo [1 ]
Ghosh, Tilottama [2 ]
Samson, Eric L. [3 ]
机构
[1] SW Texas State Univ, Dept Geog, San Marcos, TX 78666 USA
[2] Univ Colorado, CIRES, Boulder, CO 80309 USA
[3] Cent Connecticut State Univ, Dept Geog, New Britain, CT 06050 USA
关键词
SATELLITE IMAGERY; ECONOMIC-ACTIVITY; CITY LIGHTS; POPULATION; URBAN; GAS; EMISSIONS; PATTERNS; DATABASE;
D O I
10.1080/01431161.2012.684076
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
China's rapid economic development in the last 20 years has resulted in increased demand for electricity and ensuing shortages in electric power supply. It is necessary to derive accurate and timely information regarding changing spatio-temporal patterns and trends of electric power consumption to inform future electricity allocation. Night-time annual image composites for 1995-2005 were obtained from the Defense Meteorological Satellite Program's Operational Linescan System and were inter-calibrated. The inter-calibrated night-time image composites were used in conjunction with the LandScan 2008 population data to estimate the amounts of electric power consumption in 1995, 2000 and 2005 for China at the province level. The estimated amounts of electric power consumption were then disaggregated to the pixel level. A pixel-based map was produced to show the spatio-temporal changes of electric power consumption from 1995 to 2005, in which 11 regional agglomerations with large increases of electric power consumption had emerged. During the process of producing this spatio-temporal change map, some errors were generated because of the use of single-year LandScan population data, imperfect reference regions for inter-calibration and a single threshold value for delimiting urban areas. However, we believe these errors are limited and acceptable, so we present this method of estimation and disaggregation to show the increases in electric consumption.
引用
收藏
页码:6304 / 6320
页数:17
相关论文
共 35 条
[1]  
Amaral S., 2005, COMPUT ENVIRON URBAN, V29, P179, DOI [DOI 10.1016/J.COMPENVURBSYS.2003.09.004, 10.1016/j.compenvurbsys.2003.09.004]
[2]  
[Anonymous], 2010, VERS 4 DMSP OLS NIGH
[3]  
Baugh K., 2010, Proceedings of the 30th Asia-Pacific Advanced Network Meeting, P114, DOI [DOI 10.7125/APAN.30.17, 10.7125/APAN.30.17], Patent No. 302010
[4]  
30
[5]  
Bhaduri B., 2002, GEOINFOMATICS, V5, P34
[6]   Spatial characterization of electrical power consumption patterns over India using temporal DMSP-OLS night-time satellite data [J].
Chand, T. R. Kiran ;
Badarinath, K. V. S. ;
Elvidge, C. D. ;
Tuttle, B. T. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30 (03) :647-661
[7]  
Cheriyadat A, 2007, GEOJOURNAL, V69, P119, DOI 10.1007/s10708-007-9101-0
[8]   BURNING WASTE GAS IN OIL FIELDS [J].
CROFT, TA .
NATURE, 1973, 245 (5425) :375-376
[9]  
DANKO DM, 1992, PHOTOGRAMM ENG REM S, V58, P1125
[10]  
Dobson JE, 2000, PHOTOGRAMM ENG REM S, V66, P849