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基于多源数据的安徽省碳排放及影响因素研究

邢笑天 王琪 刘雨敏 刘浦东 刘建涛 张靖苑 卓伟

地理空间信息2025,Vol.23Issue(4):42-47,54,7.
地理空间信息2025,Vol.23Issue(4):42-47,54,7.DOI:10.3969/j.issn.1672-4623.2025.04.009

基于多源数据的安徽省碳排放及影响因素研究

Research on Carbon Emission and Influence Factors in Anhui Province Based on Multi-source Data

邢笑天 1王琪 1刘雨敏 1刘浦东 1刘建涛 1张靖苑 2卓伟3

作者信息

  • 1. 山东建筑大学测绘地理信息学院,山东济南 250101
  • 2. 山东建筑大学艺术学院,山东济南 250101
  • 3. 安徽师范大学地理与旅游学院,安徽芜湖 241002
  • 折叠

摘要

Abstract

In the context of the national strategy of"dual carbon"goal,Anhui Province,as an important component of the Yangtze River Delta region,has been experiencing the carbon emissions from energy consumption have continued to rise in recent years.The study of its carbon emis-sions and their influence factors is an important scientific basis for assisting the green and low-carbon development of Anhui Province.We built a carbon emission fitting model based on multi-source data such as"similar NPP-VIIRS"nighttime lighting data,POI data and statistical year-books,to estimate the carbon emission of each city in Anhui Province in the past years.By using exploratory data analysis methods,we analyzed the spatio-temporal evolution characteristics of carbon emissions in Anhui Province from 2005 to 2020,explored the spatial auto-correlation character-istics of carbon emissions,and analyzed the driving factors of carbon emissions using POI kernel density analysis and GeoDetector.The results show that ①the overall carbon emissions in Anhui Province are showing an upward trend,with a spatial distribution of"northem>southem".Among them,the provincial capital Hefei City has always been in a high carbon emission state.②Carbon emissions in Anhui Province are positively correlated in space,but the significance is not strong,mainly in low-high and low-low clusters.③The distribution of human activity intensity repre-sented by POI has a high consistency with the spatial distribution of carbon emission intensity.④Spatial differentiation of carbon emission is affect-ed by the comprehensive effect of various factors.The single factor of economic development level always has the strongest influence on the spa-tial differentiation of carbon emissions.The explanatory power of each factor to carbon emissions is significantly improved under the interaction.

关键词

碳排放/夜间灯光/空间自相关/POI/地理探测器/安徽省

Key words

carbon emission/nighttime lighting/spatial auto-correlation/POI/GeoDetector/Anhui Province

分类

天文与地球科学

引用本文复制引用

邢笑天,王琪,刘雨敏,刘浦东,刘建涛,张靖苑,卓伟..基于多源数据的安徽省碳排放及影响因素研究[J].地理空间信息,2025,23(4):42-47,54,7.

基金项目

国家自然科学基金资助项目(42171113) (42171113)

山东省自然科学基金资助项目(ZR2020QD017) (ZR2020QD017)

山东建筑大学博士基金资助项目(XNBS19010). (XNBS19010)

地理空间信息

1672-4623

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