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京津冀地区PM2.5与CO2的协同控制效应及调控因素研究

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京津冀地区面临着二氧化碳(CO2)减排和细颗粒物(PM2。5)浓度降低的双重挑战，研究该地区CO2与PM2。5的协同控制效应及调控因素演变特征，对其经济高质量发展与环境改善具有重要意义。文章基于2005-2020年人口栅格数据、夜间灯光数据以及统计年鉴数据，利用协同控制效应坐标系法和时空地理加权回归模型评估了京津冀地区CO2排放量和PM2。5浓度的协同控制效应及调控因素作用机制的时空异质性。结果表明:(1)京津冀地区实现CO2和PM2。5协同控制效应的区域呈现上升-下降-上升的变化趋势，在2019年达到最高，最高占比68。15％。(2)第三产业发达、清洁能源丰富或产业布局合理的城市更易实现CO2排放量与PM2。5浓度的共控。(3)产业结构、研发支出、对外开放程度和降雨量为京津冀地区协同控制CO2排放量和PM2。5浓度的主要因素，但这些调控因素的作用存在时空异质性。
Study on Synergistic Control Effect and Regulatory Factors of PM2.5 and CO2 in Beijing-Tianjin-Hebei Region
Beijing-Tianjin-Hebei Region faces the dual challenges of reducing CO2 emissions and controlling the PM2.5 concentration.The study of the synergistic control effect of CO2 and PM2.5 and the evolutionary characteristics of the regulato-ry factors in this region is of great significance for its high-quality economic development and environmental improvement.Based on population raster data,nighttime light data and statistical yearbook data from 2005 to 2020,the coordinate system of co-control effects and the geographically and temporally weighted regression model are used to explore the spatio-temporal heterogeneity of the synergistic control effect and the mechanism of regulatory factors in the region.The results show that the areas in the region with the synergistic control effect of CO2 emissions and PM2.5 concentration shows an upward-down-ward-upward trend,which reaches the highest in 2019,accounting for the highest proportion of 68.15％.Cities with devel-oped tertiary industries,abundant clean energy or reasonable industrial layout are more likely to realize the synergistic control effect of CO2 emissions and PM2.5 concentration.Overall,industrial structure,R&D expenditures,level of external openness and amount of precipitation are the main factors that synergistically control CO2 emissions and PM2.5 concentration in the region.However,the effects of these regulatory factors were spatiotemporal and heterogeneous.

Beijing-Tianjin-Hebei Regionsynergistic control effectregulatory factorsthe geographically and temporally weighted regression model

安敏、王丽杰、滕明月、安慧

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水电工程施工与管理湖北省重点实验室(三峡大学),湖北 宜昌 443002

三峡大学经济与管理学院,湖北 宜昌 443002

三峡大学水利与环境学院,湖北 宜昌 443002

京津冀地区 协同控制效应 调控因素 时空地理加权回归模型

国家自然科学基金青年项目湖北省自然科学基金面上项目水电工程施工与管理湖北省重点实验室(三峡大学)开放基金课题2024年度宜昌市社会科学研究课题

720041162022CFB2922023KSD28ysk24ybkt146

2024

10.19672/j.cnki.1003-6504.0771.24.338

环境科学与技术
湖北省环境科学研究院

环境科学与技术

CSTPCD北大核心
影响因子：0.943
ISSN：1003-6504
年,卷(期)：2024.47(7)