College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070, Gansu Province, China.
College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070, Gansu Province, China; Shanghai CarbonEase Intelligence Technology Co., LTD, Xuhui District, 200030, Shanghai, China.
J Environ Manage. 2024 Nov;370:122418. doi: 10.1016/j.jenvman.2024.122418. Epub 2024 Sep 15.
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.
全球工业活动对碳排放有重大贡献，影响气候变化，需要在区域和国际层面创新方法，对精确排放进行监测和管理。本研究基于夜间灯光数据、POI 数据、土地利用数据和能源统计数据，计算了 2005-2020 年黄河流域不同工业类别碳排放量，并分析了其时空变化特征，揭示了流域内不同工业类别碳排放量的分布模式。本研究从空间角度分析了各种工业类别的碳排放，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，尽管黄河流域工业碳排放增长率已显著放缓，但尚未达到峰值，碳排放从 2005 年的 4000647 吨增加到 2020 年的 519216200 吨。机械电子制造业碳排放量最大，占总碳排放量的 37.08%。医药制造业碳排放量最少，仅占总碳排放量的 1.16%。碳排放的空间分布呈集聚分布，由中心向周边逐渐减少。此外，建筑、医药和机械电子制造业的碳排放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，研究表明，不同工业类别碳排放与人口结构之间的关系较为复杂。机械电子制造、冶金和化工行业的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，人口并不是其碳排放的唯一影响因素。本研究为黄河流域工业碳排放的低碳绿色可持续发展策略提供了新视角，强调在应对气候变化挑战时，构建详细、多样化和创新的管理策略的重要性。
