Review of the Bureau of Ocean Energy Management "Air Quality Modeling in the Gulf of Mexico Region" Study

Review of the Bureau of Ocean Energy Management
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 73
Release: 2020-02-28
Genre: Science
ISBN: 0309498805

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.

Synthesis, Analysis, and Integration of Meteorological and Air Quality Data for the Gulf of Mexico Region

Synthesis, Analysis, and Integration of Meteorological and Air Quality Data for the Gulf of Mexico Region
Author: U. S. Department U.S. Department of the Interior
Publisher: CreateSpace
Total Pages: 36
Release: 2015-01-02
Genre:
ISBN: 9781505484113

This report summarizes the combined analysis of photochemical modeling results and Classification and Regression Tree (CART) analysis results for selected areas along the Gulf Coast. The objective of this analysis was to use the Classification and Regression Tree (CART) results developed as part of the MMS-sponsored data synthesis study (Volume III of this report) to assess the frequency of occurrence of the conditions that lead to impacts of emissions from oil-and-gas-related sources located within the Outer Continental Shelf (OCS) region on 8-hour ozone concentrations at onshore locations, based on photochemical modeling results using the 2005 Gulfwide emission inventory (Haney et al., 2008).