A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States
- 10.2991/jsta.d.200224.002How to use a DOI?
- Global Warming; Climate Change; Cluster Analysis; Transition Modeling
Global warming is a function of two main contributable entities in the atmosphere, carbon dioxide, and atmospheric temperature. The objective of this study is to develop a statistical model using actual fossil fuel carbon dioxide emissions data from the United States to predict relative probability of rate of change in fossil fuels carbon dioxide emissions from nine US climate regions using transition modeling. The sensitivity of these transition probabilities to five sectors, that are the commercial, industrial, residential, transportation, and electric power sector, is also investigated for all nine US climate regions. The present study also suggests that the US government should be developing regional policies to control fossil fuel carbon dioxide emissions that will be more effective in addressing the subject problem.
- © 2020 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Doo Young Kim AU - Chris P. Tsokos PY - 2020 DA - 2020/03/03 TI - A Stochastic Approach in Modeling of Regional Atmospheric CO2 in the United States JO - Journal of Statistical Theory and Applications SP - 10 EP - 20 VL - 19 IS - 1 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.d.200224.002 DO - 10.2991/jsta.d.200224.002 ID - Kim2020 ER -