Considerations for the development of shale gas in the United Kingdom
Important lessons can be drawn from the UGD experience in the United States. This article explores these considerations and argues that shale gas development policies in the UK and elsewhere should be informed by empirical evidence generated on environmental, public health, and social risks.
Methane emissions from natural gas infrastructure and use in the urban region of Boston, Massachusetts
This study quantifies the full seasonal cycle of methane emissions and the fractional contribution of natural gas for the urbanized region centered on Boston. Emissions from natural gas are found to be two to three times larger than predicted by existing inventory methodologies and industry reports. Our findings suggest that natural-gas–consuming regions may be larger sources of methane to the atmosphere than is currently estimated and represent areas of significant resource loss.
Iodide, Bromide, and Ammonium in Hydraulic Fracturing and Oil and Gas Wastewaters: Environmental Implications
This paper presents a systematic evaluation of iodide and ammonium concentrations in conventional and unconventional (Marcellus and Fayetteville shales) oil and gas wastewaters, as well as halides and ammononium concentrations in treated effluents, downstream surface waters, and a WV spill site.
Understanding high wintertime ozone pollution events in an oil- and natural gas-producing region of the western US
This study compares high-resolution meteorological simulations for atmospheric pollutants and ozone formation over the Uinta Basin using two different emission scenarios: EPA bottom up emission estimates and recent top-down measurements. Model results provide further evidence that federal methane emission estimates from oil and gas development are too low.
Mapping CH4 : CO2 ratios in Los Angeles with CLARS-FTS from Mount Wilson, California
This study uses high elevation ground-based remote sensing to to characterize anthropogenic CH4 emissions in Los Angeles metropolitan area using tracer–tracer correlations and finds CH4 emissions 18 - 61% larger than the state government's bottom-up CH4 emission inventory and consistent with previous studies.