Abstract

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.

Highlights

  • One of the main issues in our planet is the climate change problem; rising atmospheric temperature, the shifted patterns of snow and rainfall, and much more extreme climate changes are daily features in our media

  • When we look into the east north central region, the contribution of the sector 4, the residential sector, to the atmospheric CO2 emission in this region is remarkably obvious while the sector 3, the industrial sector, has merely small effects on the CO2 emission compare to the residential sector, because

  • Fitted regional probability models driven by Equation (2), derived from transitional models in Equation (1), that allow us to calculate the probabilities of the CO2 emission at risk in each region based on all possible combinations of by-sector CO2 emission behaviors in the previous year

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Summary

INTRODUCTION

One of the main issues in our planet is the climate change problem; rising atmospheric temperature, the shifted patterns of snow and rainfall, and much more extreme climate changes are daily features in our media. Scientists speak with confidence that all these problems are related to climbing levels of the atmospheric carbon dioxide (CO2) emission along with other growing greenhouse gases such as methane (CH4), nitrous oxide (N2O), and fluorinated gases in the atmosphere. These greenhouse gases absorb the thermal radiation from the surface of the earth and radiate again to the surface, and this repeating process elevates the atmospheric temperature [1,2]. Additional interesting research on the subject area can be found in the references [5⚶16]

The Data
Transitional Modeling
CLUSTER ANALYSIS
C ENC NE NW S SE SW W WNC R2
Clustering Based on the Effect of the Commercial Sector
Clustering Based on the Effect of the Electric Power Sector
Clustering Based on the Effect of the Industrial Sector
Clustering Based on the Effect of the Residential Sector
Clustering Based on the Effect of the Transportation Sector
Findings
CONCLUSION
Full Text
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