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中国省际不同土地利用类型电力碳足迹的时空分析

许淑婷 殷海萍

环境保护科学2024,Vol.50Issue(1):59-66,8.
环境保护科学2024,Vol.50Issue(1):59-66,8.DOI:10.16803/j.cnki.issn.1004-6216.202303010

中国省际不同土地利用类型电力碳足迹的时空分析

Electricity carbon footprint of different land use types in China

许淑婷 1殷海萍1

作者信息

  • 1. 辽宁师范大学地理科学学院,大连 116029
  • 折叠

摘要

Abstract

The spatial-temporal differentiation of electricity carbon emission and the carbon footprint,along with the spatial agglomeration characteristics of the carbon deficit in electricity consumption,can be measured based on the correlation between land use types and energy consumption.This measurement,using data on electricity consumption and land from 2003 to 2020,is a valuable reference for formulating reasonable and differential emission reduction policies.It can help achieve carbon neutrality and peaking carbon goals.The results indicate that the growth rate of national electricity carbon emissions is continuing to slow down,showing spatial patterns of high east and low west,high south and low north.The growth rate of the carbon footprint is characterized by a rapid initial reduction,followed by a slower rate of reduction.Additionally,the carbon footprint of electricity by land use type shows a trend towards convergence.The center of gravity of the carbon footprint is gradually shifting from southeast to northwest,and the northern internal differences have been increasing compared to the south.The scope of the carbon deficit in electricity consumption is continuing to expand.As spatial interactions have increased,the positive correlation between spatial correlation has been strengthened,and the inter-regional gap in the carbon deficit in electricity consumption is narrowing.The main local spatial auto-correlation types are low-low and high-high agglomeration areas.

关键词

电力/碳足迹/土地利用类型/碳排放/空间集聚

Key words

electricity/carbon footprint/land use types/carbon emission/spatial agglomeration

分类

资源环境

引用本文复制引用

许淑婷,殷海萍..中国省际不同土地利用类型电力碳足迹的时空分析[J].环境保护科学,2024,50(1):59-66,8.

基金项目

国家自然科学基金项目(41771132) (41771132)

辽宁省哲学社会科学青年人才培养对象委托课题(2022lslqnrcwtkt-38) (2022lslqnrcwtkt-38)

环境保护科学

OACSTPCD

1004-6216

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