Synergistic assessment of environmental pollutants and carbon emissions in the Yellow River Basin, China: An integrated study based on scenario simulation and process decomposition

被引:3
|
作者
Feng, Yingjie [1 ]
Liu, Weixing [2 ]
Zhang, Haiyang [1 ]
Li, Qiangyi [3 ]
Zhu, Aikong [4 ]
机构
[1] Zhengzhou Univ Aeronaut, Sch Econ, Zhengzhou 450046, Peoples R China
[2] Henan Res Platform Serv Ctr, Zhengzhou 450008, Peoples R China
[3] Guangxi Normal Univ, Sch Econ & Management, Guilin 541006, Peoples R China
[4] Zhengzhou Univ Aeronaut, Off Audit, Zhengzhou 450046, Peoples R China
基金
中国国家自然科学基金;
关键词
Synergistic effect of environmental pollutants; and carbon emissions; Different scenario simulations; Source prevention; Process control; Terminal output; RESOURCE UTILIZATION EFFICIENCY; REDUCTION;
D O I
10.1016/j.ecolind.2024.112334
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Environmental pollutants (EP) and carbon emissions (CE) generated by fossil fuel combustion have the same root and origin, but the synergistic effect of EP and CE in specific management is not clear. This study develops a systematic method to evaluate the synergistic effect of EP and CE, which combines the EP-CE synergy performance under different scenarios and the process decomposition of "source prevention-process control-terminal output" based on the construction of the EP-CE synergy performance assessment, and forms a complete chain of EP-CE synergy performance assessment under the system view of ecological civilization. Furthermore, the synergy of EP and CE in 79 prefecture-level cities of the Yellow River Basin (YRB) is evaluated as an example. Results show that: (1) The overall EP-CE synergy performance in the YRB is in the transition to high-quality development, and the EP-CE synergy performance of each reaches show the evolution of "the lower the performance, the faster the progress"; (2) The EP-CE synergy performance under the scenario of collaborative pollution control and carbon reduction is significantly higher than those of separate pollution control, separate carbon reduction, or no consideration of environmental constraints, and there are noticeable spatial differences, with the upper reaches having the highest EP-CE synergy performance; (3) The EP-CE synergy performances among the different process decomposition in the YRB needs to be strengthened. The process control had the highest overall performance level, but the inclusion of environmental factors could significantly decrease the performance level, while the opposite is exact for the terminal output. The study provides a multi-scenario and process decomposition approach to assess the synergistic effects of EP and CE, and the scenario simulation assessment, process decomposition analysis, and synergistic control recommendations can be used as references for other regions or countries suffering from both EP and CE to formulate environmentally synergistic management development strategies and improve ecological quality according to local conditions.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] The fairness of shared responsibility for embodied carbon emission: a case study of the Yellow River Basin, China
    Ma, Zhong
    Kang, Yanxia
    Ma, Weijing
    Niu, Xingxing
    Kou, Jingwen
    Yang, Haijiang
    Environmental Science and Pollution Research, 2024, 31 (46) : 57065 - 57080
  • [42] Evaluation of ecological network resilience using OWA and attack scenario simulation in the Gansu section of the Yellow River Basin, NW China
    Zhang, Kexin
    Pan, Jinghu
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2024, 6 (08):
  • [43] Decomposition and scenario analysis on carbon emissions of road transportation: case study of the rural areas of Tianjin, China
    Zhu, Minqing
    Guo, Yaxin
    Li, Wei
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [44] Dynamic evolution characteristics and driving factors of carbon emissions in prefecture-level cities in the Yellow River Basin of China
    Ruimin Chen
    Xiaojun Ma
    Yanzhi Zhao
    Shuo Wang
    Shiqi Zhang
    Environmental Science and Pollution Research, 2023, 30 : 67443 - 67457
  • [45] Dynamic evolution characteristics and driving factors of carbon emissions in prefecture-level cities in the Yellow River Basin of China
    Chen, Ruimin
    Ma, Xiaojun
    Zhao, Yanzhi
    Wang, Shuo
    Zhang, Shiqi
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (25) : 67443 - 67457
  • [46] Carbon Emissions in the Yellow River Basin: Analysis of Spatiotemporal Evolution Characteristics and Influencing Factors Based on a Logarithmic Mean Divisia Index (LMDI) Decomposition Method
    Liu, Ke
    Xie, Xinyue
    Zhao, Mingxue
    Zhou, Qian
    SUSTAINABILITY, 2022, 14 (15)
  • [47] Integrated Modeling of Flood Forecasting and Multi-reservoir-based Operation in the Yellow River Basin, China
    Tang, Yiyuan
    Li, Shengyang
    Xuan, Yunqing
    Mynett, Arthur. E.
    Xin, Tao
    Yao Baoshun
    Zhang Fazhong
    PROCEEDINGS OF THE 4TH INTERNATIONAL YELLOW RIVER FORUM ON ECOLOGICAL CIVILIZATION AND RIVER ETHICS, VOL IV, 2010, : 18 - +
  • [48] Multiple scenario land use simulation based on a coupled MOGA-PLUS model: a case of the Yellow River Basin
    Li G.
    Chang Y.
    Zhang P.
    Wang Q.
    Chen Z.
    Zhang X.
    Xing G.
    Lu R.
    Li M.
    Gu L.
    Environmental Science and Pollution Research, 2024, 31 (30) : 42902 - 42920
  • [49] The carbon emissions calculation, decomposition and peak scenario simulation of meat, egg, and milk in China: from a production and consumption perspective
    Zhou, Kun
    Chen, Liu
    Wu, Jin
    Li, Hongyao
    Wang, Huan
    Li, Jianqiang
    CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2024, 26 (09) : 2937 - 2959
  • [50] Analysis of influencing factors of carbon emissions in resource-based cities in the Yellow River basin under carbon neutrality target
    Sun, Xiumei
    Zhang, Haotian
    Ahmad, Mahmood
    Xue, Chaokai
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (16) : 23847 - 23860