Central California Ozone Study (CCOS) - Desert Research Institute
Central California Ozone Study (CCOS) - Desert Research Institute
Central California Ozone Study (CCOS) - Desert Research Institute
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<strong>CCOS</strong> Field Operations Plan Version 2: 5/31/00<br />
sampling plan using statistical methods for the placement of traffic counters for <strong>CCOS</strong>. Based<br />
on the results of the scoping study, a field sampling plan will be developed to collect and analyze<br />
hourly traffic count information for the <strong>CCOS</strong> domain. The day-specific data will be<br />
incorporated into the transportation model.<br />
6.3.2 Gridding of Area Source Emissions<br />
<strong>Ozone</strong> and aerosol formation models require spatially distributed estimates of precursor<br />
emissions resolved over the entire geographic grid system that defines the modeling domain. In<br />
this project, Sonoma Technology, Inc. will develop base year and future year gridding surrogates<br />
for spatially distributing area source and off-road emission source categories. The spatial<br />
allocation factors will be used to geographically distribute emissions throughout the <strong>Central</strong><br />
<strong>California</strong> <strong>Ozone</strong> <strong>Study</strong> (<strong>CCOS</strong>) domain at a spatial resolution of 1 x 1 km covering all of<br />
<strong>California</strong> from Shasta to Kern County.<br />
Spatial allocation factors for area and off-road mobile sources will be developed for the<br />
years 2000, 2005, 2010, and 2020 using various sources of data that are representative of the<br />
spatial distribution of emissions activity. These data are referred to as surrogates and commonly<br />
include: demographic and socioeconomic data and land cover/land use data. STI will review<br />
existing area and off-road mobile source surrogate assignments and use new and innovative<br />
methodologies similar to those used in the 1997 South Coast <strong>Ozone</strong> <strong>Study</strong> (SCOS97) to assign<br />
surrogates to emissions sources.<br />
Additionally, STI will review and recommend improvements to existing temporal<br />
distributions (hourly, daily, seasonal) of emissions activity for all area and off-road sources. In<br />
order to complete this project, local data will be acquired<br />
6.3.3 Integration of Transportation Data for <strong>CCOS</strong> Domain and Run DTIM for Entire<br />
Modeling Domain<br />
The goals of this project are: 1) create gridded, hourly on-road mobile source emissions<br />
estimates of PM, CO, NOx, and TOG which are representative of an ozone season episode and a<br />
winter episode for the base year 2000; 2) provide a cost and schedule estimate to create more<br />
refined PM estimates (i.e. EC, OC, SO2, SO4, NH3, Na, Ca, K, Mg, and other PM in lieu of a<br />
total PM estimate; and 3) transfer data and estimation software to the ARB and provide<br />
necessary training so that ARB staff can generate additional on-road mobile source emissions<br />
estimates using other data sets. The contractor is Alpine Geophysics.<br />
6.3.4 Biogenic Emission Model Expansion<br />
Biogenic emissions are calculated using BEIGIS, the ARB’s geographic information<br />
system (GIS) model for estimating biogenic hydrocarbon emissions. Although most of the major<br />
input databases needed to run BEIGIS currently exist, several of these databases specific to the<br />
<strong>Central</strong> <strong>California</strong> <strong>Ozone</strong> <strong>Study</strong> (<strong>CCOS</strong>) domain require validation. The first database requiring<br />
field validation is the spatial distribution and identification of vegetation species in natural areas,<br />
as defined by the Gap Analysis Project (GAP). The second is a 1 kilometer resolution leaf area<br />
Chapter 6: EMISSION INVENTORY DEVELOPMENT 6-3