长江经济带电力消费时空格局演变特征

Q3 Environmental Science
Zhong Yang, Xiao Chiwei, Duan Xiaoqi, Xu Zhibang, Yang Renfei
{"title":"长江经济带电力消费时空格局演变特征","authors":"Zhong Yang, Xiao Chiwei, Duan Xiaoqi, Xu Zhibang, Yang Renfei","doi":"10.5814/j.issn.1674-764x.2023.06.008","DOIUrl":null,"url":null,"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.","PeriodicalId":53414,"journal":{"name":"Journal of Resources and Ecology","volume":"24 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evolution Characteristics of the Spatiotemporal Pattern of Electricity Power Consumption in the Yangtze River Economic Belt\",\"authors\":\"Zhong Yang, Xiao Chiwei, Duan Xiaoqi, Xu Zhibang, Yang Renfei\",\"doi\":\"10.5814/j.issn.1674-764x.2023.06.008\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":53414,\"journal\":{\"name\":\"Journal of Resources and Ecology\",\"volume\":\"24 9\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Resources and Ecology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5814/j.issn.1674-764x.2023.06.008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Resources and Ecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5814/j.issn.1674-764x.2023.06.008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Environmental Science","Score":null,"Total":0}
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信