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Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2017-65
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
19 Jul 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).
Vista-LA: Mapping methane emitting infrastructure in the Los Angeles megacity
Valerie Carranza1,2, Talha Rafiq1,3, Isis Frausto-Vicencio1,4,a, Francesca Hopkins1,a, Kristal R. Verhulst1,3, Preeti Rao1,b, Riley Duren1, and Charles Miller1 1Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA
2Institute of the Environment and Sustainability, University of California, Los Angeles, Los Angeles, CA, 90024, USA
3Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, 90024, USA
4Department of Chemistry, University of California, Los Angeles, Los Angeles, CA 90024, USA
anow at: University of California, Riverside, Riverside, CA, 92521, USA
bnow at: University of Michigan, Ann Arbor, MI 48109, USA
Abstract. Methane is a potent greenhouse gas (GHG) and a critical target of climate mitigation efforts. However, actionable emission reduction efforts are complicated by large uncertainties in the methane budget at relevant scales. Here, we present Vista, a Geographic Information System (GIS)-based approach to map potential methane emissions sources in greater Los Angeles, an area with a dense, complex mixture of sources. The goal of this work is to provide a database that, together with atmospheric observations, improves methane emissions estimates in urban areas with complex infrastructure. We aggregated methane source location information into three sectors (energy, agriculture, and waste) following the frameworks used by the State of California GHG Inventory and the IPCC Guidelines for GHG Reporting. Geospatial modelling was applied to publicly available datasets to precisely geolocate facilities and infrastructure comprising major anthropogenic methane source sectors. The final database, Vista-Los Angeles (LA), is presented as maps of infrastructure known or expected to emit methane. Vista-LA contains over 33,000 features concentrated on <1% of land area in the region. Currently, Vista-LA is used as a planning and analysis tool for atmospheric measurement surveys of methane sources, particularly for airborne remote sensing, and methane “hot-spot” detection using regional observations. This study represents a first step towards developing an accurate, spatially-resolved methane flux estimate for point sources in California’s South Coast Air Basin (SoCAB), with the potential to address discrepancies between bottom-up and top-down methane emissions accounting. The final Vista-LA datasets and associated metadata have been submitted to the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics (ORNL DAAC; https://doi.org/10.3334/ORNLDAAC/1525). 

Citation: Carranza, V., Rafiq, T., Frausto-Vicencio, I., Hopkins, F., Verhulst, K. R., Rao, P., Duren, R., and Miller, C.: Vista-LA: Mapping methane emitting infrastructure in the Los Angeles megacity, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-65, in review, 2017.
Valerie Carranza et al.
Valerie Carranza et al.

Data sets

NACP Sources of Methane Emissions (Vista-LA), South Coast Air Basin, California, USA
V. Carranza, T. Rafiq, I. Frausto-Vicencio, F. Hopkins, K. R. Verhulst, P. Rao, R. M. Duren, and C. E. Miller
https://doi.org/10.3334/ORNLDAAC/1525
Valerie Carranza et al.

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Short summary
We present a GIS-based approach to high-resolution sectoral attribution of methane emissions in areas with dense, complex source mixtures. The Vista-LA database classifies over 33 000 potential methane emitting features concentrated on < 1 % of the land area in California's South Coast Air Basin and is used as a planning and analysis tool for atmospheric measurement surveys of methane sources, including airborne remote sensing campaigns and methane "hot-spot" detection using regional observations.
We present a GIS-based approach to high-resolution sectoral attribution of methane emissions in...
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