Document Type: ORIGINAL RESEARCH PAPER

Authors

1 Department of Environmental Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

2 Department of Biochemistry, Faculty of Medicine and Dentistry, University of Alberta, Alberta, Canada

Abstract

The Persian Gulf States (Bahrain. Iran, Iraq, Kuwait, Qatar, Saudi Arabia and United Arab Emirate) have dominated the oil and gas sector since the discovery of oil in the region. They are the world largest producers of crude oil, producing about 35 and 25 percent of the world natural gas and crude oil respectively. The use of fossil fuels is directly linked to the release of CO2 into the environment. CO2 accounts for 58.8 percent of all greenhouse gases released via human activities, consequently, presenting a malign impact on the environment through climate change, global warming, biodiversity, acid rain and desertification among others. Due to its importance, the data on CO2 emission obtained from US EIA from 1980 – 2010 was regressed using least square techniques and projections were made to the year 2050. Results indicated that each country’s p-value was less than 0.05 which implies that the models can be used for predicting CO2 emissions into the future. The data shows the emission of CO2 by countries from the highest to the lowest in 2016 as: Iran (590.72 Mtonnes; 7.58 tonnes of CO2/person) > Saudi Arabia (471.82 Mtonnes; 18 tonnes of CO2/person) > UAE (218.58 Mtonnes; 41.31 tonnes of CO2/person) > Iraq (114.01 Mtonees; 3.71 tonnes of CO2/person) > Kuwait (92.58 Mtonnes; 36.31 tonnes of CO2/person) > Qatar (68.26 Mtonnes; 37 tonnes of CO2/person) > Bahrain (33.16 Mtonnes; 27.5 tonnes of CO2/person)". The sequence from the country with highest emission (Iran) to the country with lowest emission (Bahrain) will remain the same until 2050. A projection depicting a 7.7 percent yearly increase in CO2 emission in the Persian Gulf States.

Graphical Abstract

Highlights

  • Forecasting co2emissions from 2011 to 2050
  • Application of the least square technique to predict the CO2 emission
  • Increase of an average 7.7 % yearly of CO2 emission in the region

Keywords

Main Subjects

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HOW TO CITE THIS ARTICLE:

Olabemiwo, F.A.; Danmaliki, G.I.; Oyehan, T.A.; Tawabini, B.S., (2017). Forecasting CO2 emissions in the
Persian Gulf States. Global J. Environ. Sci., Manage., 3(1): 1-10.

 


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