Spatial Distribution of CO2 Verified Emissions: a Kriging-Based Approach

被引:0
|
作者
María Dolores Huete-Morales
Elena Villar-Rubio
Federico Galán-Valdivieso
机构
[1] University of Granada,Department of Statistic and Operational Research, Faculty of Labour Sciences
[2] University of Granada,Department of Applied Economics
[3] Campus Cartuja,Department of Economics and Business
[4] University of Almería,undefined
关键词
Carbon dioxide; EU ETS; Kriging; Verified emissions; Spatial statistics;
D O I
暂无
中图分类号
学科分类号
摘要
Reducing carbon dioxide (CO2) anthropogenic emissions is an essential goal for combating climate change, and firms and policymakers must be aware of the main polluting areas of intervention for health, economic and environmental improvement, and mapping emissions is a relevant instrument to measure their geospatial distribution in order to reach that goal. Verified carbon emissions within the European Union mechanisms are a direct source of information that has not been previously used for mapping purposes. Through the application of universal kriging techniques, the proposed model shows the spatial variations of CO2 industrial emissions in the Spanish provinces and the contribution of the most polluting sectors, helping to understand the spatial CO2 emission dynamics in order to establish adequate environmental policies.
引用
收藏
页码:63 / 77
页数:14
相关论文
共 50 条
  • [41] The spatial distribution of commuting CO2 emissions and the influential factors: A case study in Xi'an, China
    Liu Yuan-Yuan
    Wang Yuan-Qing
    An Rui
    Li Chao
    ADVANCES IN CLIMATE CHANGE RESEARCH, 2015, 6 (01) : 46 - 55
  • [42] An improved Kriging-based approach for system reliability analysis with multiple failure modes
    Zhou, Chengning
    Xiao, Ning-Cong
    Zuo, Ming J.
    Gao, Wei
    ENGINEERING WITH COMPUTERS, 2022, 38 (SUPPL 3) : 1813 - 1833
  • [43] A sustainable collaborative approach to the distribution network design problem with CO2 emissions allocation
    Mrabti, Nassim
    Hamani, Nadia
    Delahoche, Laurent
    INTERNATIONAL JOURNAL OF SHIPPING AND TRANSPORT LOGISTICS, 2022, 14 (1-2) : 114 - 140
  • [44] Highly efficient Bayesian updating using metamodels: An adaptive Kriging-based approach
    Wang, Zeyu
    Shafieezadeh, Abdollah
    STRUCTURAL SAFETY, 2020, 84
  • [45] Assessment of CO2 emissions reduction in a distribution warehouse
    Rai, Deepak
    Sodagar, Behzad
    Fieldson, Rosi
    Hu, Xiao
    ENERGY, 2011, 36 (04) : 2271 - 2277
  • [46] An Effective Kriging-based Approach for System Reliability Analysis with Multiple Failure Modes
    Zhou, Chengning
    Xiao, Ning-cong
    Zuo, Ming J.
    Gao, Wei
    Li, Qing
    2020 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON ADVANCED RELIABILITY AND MAINTENANCE MODELING (APARM), 2020,
  • [47] A Kriging-Based Approach to Autonomous Experimentation with Applications to X-Ray Scattering
    Marcus M. Noack
    Kevin G. Yager
    Masafumi Fukuto
    Gregory S. Doerk
    Ruipeng Li
    James A. Sethian
    Scientific Reports, 9
  • [48] An improved Kriging-based approach for system reliability analysis with multiple failure modes
    Chengning Zhou
    Ning-Cong Xiao
    Ming J. Zuo
    Wei Gao
    Engineering with Computers, 2022, 38 : 1813 - 1833
  • [49] A Novel Approach for Predicting Anthropogenic CO2 Emissions Using Machine Learning Based on Clustering of the CO2 Concentration
    Ji, Zhanghui
    Song, Hao
    Lei, Liping
    Sheng, Mengya
    Guo, Kaiyuan
    Zhang, Shaoqing
    ATMOSPHERE, 2024, 15 (03)
  • [50] Spatial effects of air pollutants reduction on CO2 emissions
    Zhou, Hao
    Jiang, Mingdong
    Huang, Yumeng
    Bai, Yang
    Wang, Qi
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (30) : 75213 - 75224