Abstract. High-resolution bottom-up estimation provides a detailed guide for
city greenhouse gas mitigation options, offering details that can increase
the economic efficiency of emissions reduction options and synergize with
other urban policy priorities at the human scale. As a critical constraint
to urban atmospheric CO2 inversion studies, bottom-up
spatiotemporally explicit emissions data products are also necessary to
construct comprehensive urban CO2 emission information systems useful
for trend detection and emissions verification. The “Hestia Project” is an
effort to provide bottom-up granular fossil fuel (FFCO2) emissions for
the urban domain with building/street and hourly space–time resolution.
Here, we report on the latest urban area for which a Hestia estimate has
been completed – the Los Angeles megacity, encompassing five counties: Los
Angeles County, Orange County, Riverside County, San Bernardino County and
Ventura County. We provide a complete description of the methods used to
build the Hestia FFCO2 emissions data product for the years 2010–2015.
We find that the LA Basin emits 48.06 (±5.3) MtC yr−1, dominated by the
on-road sector. Because of the uneven spatial distribution of emissions,
10 % of the largest-emitting grid cells account for 93.6 %, 73.4 %,
66.2 %, and 45.3 % of the industrial, commercial, on-road, and
residential sector emissions, respectively. Hestia FFCO2 emissions are
10.7 % larger than the inventory estimate generated by the local
metropolitan planning agency, a difference that is driven by the industrial
and electricity production sectors. The detail of the Hestia-LA FFCO2
emissions data product offers the potential for highly targeted, efficient
urban greenhouse gas emissions mitigation policy. The Hestia-LA v2.5
emissions data product can be downloaded from the National Institute of
Standards and Technology repository (https://doi.org/10.18434/T4/1502503, Gurney et al., 2019).
METHODOLOGY FOR EVALUATION OF GREENHOUSE GAS MITIGATION POTENTIALS BY USING AGRICULTURE BOTTOM-UP MODEL
