成渝城市群县域碳排放及其影响因素分析

IF 5.9 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Journal of Environmental Sciences-china Pub Date : 2024-04-21 DOI:10.1016/j.jes.2024.04.019
Ji Zhang , Heng Lu , Wenfu Peng , Lindan Zhang
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引用次数: 0

摘要

碳排放主要来源于化石能源消耗,因此有必要对能源消耗产生的碳排放进行计算和监测。在本研究中,我们利用四川省和重庆市 2000 年至 2019 年的能源消耗数据来估算其统计碳排放量。然后,我们利用夜间光照数据对成渝城市群内县级碳排放量的空间分布进行了缩减和推断。此外,我们还利用变异系数和空间自相关性分析了县级碳排放的空间格局,并利用地理和时间加权回归(GTWR)模型分析了该尺度下碳排放的影响因素。研究结果如下(1)2000-2019 年,成渝城市群碳排放量总体呈先升后降的趋势,年均增长率为 4.24%。但近年来趋于稳定,2012 年是成渝城市群碳排放的峰值年;(2)碳排放呈现明显的空间集聚性,成渝核心城区呈现高-高集聚,成渝城市群南部区县呈现低-低集聚;(3)GDP、人口(Pop)、城市化率(Ur)、工业化结构(Ic)等因素对碳排放均有显著影响;(4)各影响因素的空间异质性明显。
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Analyzing carbon emissions and influencing factors in Chengdu-Chongqing urban agglomeration counties

Majority of carbon emissions originate from fossil energy consumption, thus necessitating calculation and monitoring of carbon emissions from energy consumption. In this study, we utilized energy consumption data from Sichuan Province and Chongqing Municipality for the years 2000 to 2019 to estimate their statistical carbon emissions. We then employed nighttime light data to downscale and infer the spatial distribution of carbon emissions at the county level within the Chengdu-Chongqing urban agglomeration. Furthermore, we analyzed the spatial pattern of carbon emissions at the county level using the coefficient of variation and spatial autocorrelation, and we used the Geographically and Temporally Weighted Regression (GTWR) model to analyze the influencing factors of carbon emissions at this scale. The results of this study are as follows: (1) from 2000 to 2019, the overall carbon emissions in the Chengdu-Chongqing urban agglomeration showed an increasing trend followed by a decrease, with an average annual growth rate of 4.24%. However, in recent years, it has stabilized, and 2012 was the peak year for carbon emissions in the Chengdu-Chongqing urban agglomeration; (2) carbon emissions exhibited significant spatial clustering, with high-high clustering observed in the core urban areas of Chengdu and Chongqing and low-low clustering in the southern counties of the Chengdu-Chongqing urban agglomeration; (3) factors such as GDP, population (Pop), urbanization rate (Ur), and industrialization structure (Ic) all showed a significant influence on carbon emissions; (4) the spatial heterogeneity of each influencing factor was evident.

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来源期刊
Journal of Environmental Sciences-china
Journal of Environmental Sciences-china 环境科学-环境科学
CiteScore
13.70
自引率
0.00%
发文量
6354
审稿时长
2.6 months
期刊介绍: The Journal of Environmental Sciences is an international journal started in 1989. The journal is devoted to publish original, peer-reviewed research papers on main aspects of environmental sciences, such as environmental chemistry, environmental biology, ecology, geosciences and environmental physics. Appropriate subjects include basic and applied research on atmospheric, terrestrial and aquatic environments, pollution control and abatement technology, conservation of natural resources, environmental health and toxicology. Announcements of international environmental science meetings and other recent information are also included.
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