Resources and Economy

Evolution Characteristics of the Spatiotemporal Pattern of Electricity Power Consumption in the Yangtze River Economic Belt

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  • 1. School of Geographical Sciences/Hunan Institute for Carbon Peaking and Carbon Neutrality, Hunan Normal University, Changsha 410081, China
    2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
    4. Computer Science and Technology Institute, Guizhou University, Guiyang 550025, China
    5. Institute of Urban Environment, Chinese Academic of Science, Xiamen, Fujian 361021, China
    6. Chongqing Geographic and Remote Sensing Center, Chongqing 401147, China
ZHONG Yang, E-mail: zhongyang9093@163.com
* XIAO Chiwei, E-mail: xiaocw@igsnrr.ac.cn.
* XIAO Chiwei, E-mail: xiaocw@igsnrr.ac.cn.

Received date: 2022-08-05

  Accepted date: 2023-01-30

  Online published: 2023-10-23

Supported by

The General Project of Hunan Provincial Social Science Achievement Evaluation Committee(XSP22YBC426)

Abstract

Revealing the dynamic characteristics of the temporal and spatial evolution of electricity power consumption (EPC) is of great significance for realizing the scientific allocation and rational utilization of electricity power resources. Therefore, based on the EPC data extracted from the DMSP/OLS nighttime light data, this paper takes the Yangtze River Economic Belt (YREB) as an example, and uses various methods such as coefficient of variation, Kernel density analysis, rank-scale rule, trend analysis, and standard deviation ellipse. The evolution characteristics of the spatiotemporal pattern of EPC at the provincial, prefecture and county levels in the YREB were analyzed. The results show that: (1) Through the coefficient of variation (CV), we found that the coefficient of variation (CV) of EPC in the YREB showed a downward trend at the provincial, prefecture and county levels. Specifically, the county-level EPC has the largest difference, followed by the provincial and prefecture-level. (2) Through the kernel density analysis, we found that the EPC agglomeration degree in the YREB obviously shows the characteristics of decreasing from the east to the central and western regions. (3) Through the rank-scale rule, it is found that the |q| value of the YREB has been in a downward trend during the research period at the provincial, prefecture and county scales, and the |q| value is constantly approaching 1. It directly shows that the scale and quantity distribution of EPC in the YREB at the provincial, prefecture and county levels are becoming more and more reasonable. (4) Through trend analysis, we found that the changes in EPC in the YREB at the provincial, prefecture and county scales all obviously showed a decreasing trend from the east to the central and western regions. (5) Through the standard deviation ellipse (SDE), we found that the standard deviation ellipse of the EPC in the YREB obviously shows the spatial distribution direction of “Southwest-Northeast”, and the directionality to the Yangtze River Delta is very obvious, which directly indicates that the promotion of the YREB that the main driving force behind the growth in EPC is the increase in EPC in the east-west direction.

Cite this article

ZHONG Yang, XIAO Chiwei, DUAN Xiaoqi, XU Zhibang, YANG Renfei . Evolution Characteristics of the Spatiotemporal Pattern of Electricity Power Consumption in the Yangtze River Economic Belt[J]. Journal of Resources and Ecology, 2023 , 14(6) : 1192 -1205 . DOI: 10.5814/j.issn.1674-764x.2023.06.008

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