长江经济带电力消费时空格局演变特征

Q3 Environmental Science Journal of Resources and Ecology Pub Date : 2023-11-02 DOI:10.5814/j.issn.1674-764x.2023.06.008
Zhong Yang, Xiao Chiwei, Duan Xiaoqi, Xu Zhibang, Yang Renfei
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引用次数: 0

摘要

揭示电力消费时空演变的动态特征,对实现电力资源的科学配置和合理利用具有重要意义。因此,本文基于DMSP/OLS夜间灯光数据提取的EPC数据,以长江经济带(YREB)为例,采用变异系数、核密度分析、秩-尺度规则、趋势分析、标准差椭圆等多种方法。分析了长江经济带省、地、县三级EPC时空格局的演化特征。结果表明:(1)通过变异系数(CV)分析发现,在省、地、县三级,长江经济带EPC的变异系数(CV)呈下降趋势;具体来看,县级EPC差异最大,其次是省级和地级市。(2)通过核密度分析,发现长江经济带EPC集聚程度呈现由东向中西部递减的明显特征。(3)通过秩-尺度规则发现,在研究期间,YREB在省、地、县尺度上的|q|值一直呈下降趋势,且|q|值不断趋近于1。这直接表明长江经济带省、地、县三级EPC规模和数量分布越来越合理。(4)通过趋势分析,发现长江经济带省、地、县尺度上的总EPC变化均呈现由东到中、西部明显减少的趋势。(5)通过标准差椭圆(SDE),我们发现长江经济带EPC的标准差椭圆明显呈现出“西南—东北”的空间分布方向,且向长三角的方向性非常明显,这直接表明对长江经济带的促进,即EPC增长的主要驱动力是东西方向的EPC增加。
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Evolution Characteristics of the Spatiotemporal Pattern of Electricity Power Consumption in the Yangtze River Economic Belt
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.
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来源期刊
Journal of Resources and Ecology
Journal of Resources and Ecology Environmental Science-Ecology
CiteScore
2.40
自引率
0.00%
发文量
107
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