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Suggested Citation:"Appendix D: Data for Figures S.1, 2.2, and 2.3." National Academies of Sciences, Engineering, and Medicine. 2019. Review of the Bureau of Ocean Energy Management "Air Quality Modeling in the Gulf of Mexico Region" Study. Washington, DC: The National Academies Press. doi: 10.17226/25600.
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Page 55
Suggested Citation:"Appendix D: Data for Figures S.1, 2.2, and 2.3." National Academies of Sciences, Engineering, and Medicine. 2019. Review of the Bureau of Ocean Energy Management "Air Quality Modeling in the Gulf of Mexico Region" Study. Washington, DC: The National Academies Press. doi: 10.17226/25600.
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Page 56
Suggested Citation:"Appendix D: Data for Figures S.1, 2.2, and 2.3." National Academies of Sciences, Engineering, and Medicine. 2019. Review of the Bureau of Ocean Energy Management "Air Quality Modeling in the Gulf of Mexico Region" Study. Washington, DC: The National Academies Press. doi: 10.17226/25600.
×
Page 57
Suggested Citation:"Appendix D: Data for Figures S.1, 2.2, and 2.3." National Academies of Sciences, Engineering, and Medicine. 2019. Review of the Bureau of Ocean Energy Management "Air Quality Modeling in the Gulf of Mexico Region" Study. Washington, DC: The National Academies Press. doi: 10.17226/25600.
×
Page 58
Suggested Citation:"Appendix D: Data for Figures S.1, 2.2, and 2.3." National Academies of Sciences, Engineering, and Medicine. 2019. Review of the Bureau of Ocean Energy Management "Air Quality Modeling in the Gulf of Mexico Region" Study. Washington, DC: The National Academies Press. doi: 10.17226/25600.
×
Page 59
Suggested Citation:"Appendix D: Data for Figures S.1, 2.2, and 2.3." National Academies of Sciences, Engineering, and Medicine. 2019. Review of the Bureau of Ocean Energy Management "Air Quality Modeling in the Gulf of Mexico Region" Study. Washington, DC: The National Academies Press. doi: 10.17226/25600.
×
Page 60

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Appendix D: Data for Figures S.1, 2.2, and 2.3 55

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APPENDIX D 59 Table D.2 Average Summer (June – August) Temperatures (Degrees Farenheit) for Florida, Louisiana, and Texas during the years 1990-2019. Data from NOAA National Centers for Environmental Information: https://www.ncdc.noaa.gov/cag/. Florida Louisiana Texas Average 1990 81.6 81.6 81.3 81.50 1991 81.1 80.9 80.2 80.73 1992 81 79.6 79.2 79.93 1993 81.7 82.1 81.7 81.83 1994 80.4 80.3 82.2 80.97 1995 81.3 81.6 80.8 81.23 1996 80.7 80.4 81.7 80.93 1997 80.7 80.9 80.7 80.77 1998 83.5 84.2 84.2 83.97 1999 81.5 82.2 81.8 81.83 2000 81.5 82.4 82.3 82.07 2001 80.9 80.7 82.9 81.50 2002 80.7 81 81.4 81.03 2003 80.9 81.1 81.2 81.07 2004 81.5 80.1 79.5 80.37 2005 82.1 82.1 81.4 81.87 2006 81.8 82 82.6 82.13 2007 82 81.5 79.6 81.03 2008 81.1 81.7 81.8 81.53 2009 81.9 81.8 83 82.23 2010 83.3 84 82.8 83.37 2011 82.8 84.9 86.8 84.83 2012 81.1 81.7 83.2 82.00 2013 81.4 81.2 82.1 81.57 2014 81.7 80.4 81.6 81.23 2015 82.3 82.4 81.9 82.20 2016 83 82.3 82.3 82.53 2017 81.9 80.6 81.6 81.37 2018 82.1 82.5 83.8 82.80 2019 82.7 81.9 82.6 82.40

Review of the Bureau of Ocean Energy Management "Air Quality Modeling in the Gulf of Mexico Region" Study Get This Book
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Emissions associated with oil and gas exploration, development, and production on the Gulf waters can result in increased levels of air pollutants that contribute to a range of air quality impacts in the Gulf of Mexico Region (GOMR). “Criteria air pollutants”, such as carbon monoxide, lead, nitrogen dioxide, ozone, particulate matter, and sulfur dioxide, are considered harmful to public health and the environment. The Bureau of Ocean Energy Management (BOEM) manages the U.S. outer continental shelf oil and gas resources and is required to help manage air quality in the GOMR.

Review of the Bureau of Ocean Energy Management “Air Quality Modeling in the Gulf of Mexico Region” Study reviews and provides feedback on the BOEM’s Air Quality Modeling in the Gulf of Mexico Region Study. This independent technical review of the study explores whether the study meets its goals, accurately reflects the scientific literature, uses reasonable data and modeling analyses, approaches quantitative modeling appropriately, documents findings in a consistent, transparent, and credible way, and aligns with necessary guidelines.

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