综合夜间照明和 POI 数据估算不同工业类别的碳排放量--黄河流域案例研究

IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
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引用次数: 0

摘要

全球工业活动对碳排放贡献巨大,影响气候变化,需要创新方法在区域和国际层面进行精确的排放监测和管理。本研究基于夜光数据、POI数据、土地利用数据和能源统计数据,计算了黄河流域2005-2020年不同工业门类的碳排放量,并分析了其变化的时空特征,揭示了流域内不同工业门类的碳排放规律。本研究从空间视角分析了不同工业门类的碳排放情况,解决了传统工业碳排放评估在空间尺度上的局限性。结果表明,虽然黄河流域工业碳排放量增速明显放缓,但尚未达到峰值,碳排放量从2005年的400647t增加到2020年的51921.62万t。机械电子制造业的碳排放量最大,占总碳排放量的 37.08%。医疗制药业的碳排放量最少,仅占总碳排放量的 1.16%。碳排放量的空间分布呈现集群分布,排放量由中心向外围逐渐减少。此外,建筑业、医疗制药业和机械电子制造业的碳排放量主要集中在城市及其周边地区,与城市发展、基础设施和技术进步密切相关。此外,研究还发现,不同产业类别的碳排放与人口结构之间的关系十分复杂。在机械和电子制造业、冶金和化工行业,碳排放与人口之间存在稳定的关系。然而,对于服装、家具和制药行业来说,人口并不是影响其碳排放量的唯一因素。本研究为黄河流域工业碳排放的低碳绿色可持续发展战略提供了新的视角,强调了面对气候变化挑战,构建精细化、多元化、创新型管理战略的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of carbon emissions from different industrial categories integrated nighttime light and POI data—A case study in the Yellow River Basin

Global industrial activities contribute significantly to carbon emissions, impacting climate change and necessitating innovative methods for precise emission monitoring and management at both regional and international levels. Based on nighttime light data, POI data, land use data and energy statistics, this study calculated the carbon emissions of different industrial categories in the Yellow River Basin from 2005 to 2020 and analyzed the temporal and spatial characteristics of their changes to reveal the carbon emission patterns of different industrial categories in the basin. This study analyzes the carbon emissions of various industrial categories from a spatial perspective, addressing the limitations of traditional industrial carbon emission assessments at the spatial scale. The results showed that although the growth rate of industrial carbon emissions in the Yellow River Basin has slowed down significantly, it has not yet reached the peak, with the carbon emissions increasing from 400,0647t in 2005 to 519,216,200t in 2020. The mechanical and electronic manufacturing industry had the largest carbon emissions, which accounting for 37.08% of the total carbon emissions. Medical pharmaceuticals had the fewest, only accounting for 1.16% of the total carbon emissions. The spatial distribution of carbon emissions showed a cluster distribution, and the emissions gradually decrease from the center to the periphery. In addition, the carbon emissions of the construction industry, medical pharmaceutical industry and mechanical and electronic manufacturing industry were concentrated in and around the cites, and were closely related to urban development, infrastructure and technological progress. Furthermore, the study reveals that the relationship between carbon emissions and population structure across different industrial categories is complex. A stable relationship exists between carbon emissions and the population within the mechanical and electronic manufacturing, metallurgy, and chemical industries. However, for the clothing, furniture, and pharmaceutical industries, population is not the sole influencing factor on their carbon emissions. This study provides a new perspective on low-carbon green and sustainable development strategies for industrial carbon emissions in the Yellow River Basin, and emphasizes the importance of constructing detailed, diversified and innovative management strategies in the face of climate change challenges.

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来源期刊
Journal of Environmental Management
Journal of Environmental Management 环境科学-环境科学
CiteScore
13.70
自引率
5.70%
发文量
2477
审稿时长
84 days
期刊介绍: The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
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