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SU0004149
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SU0004149
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Last modified
10/27/2020 1:00:10 PM
Creation date
9/6/2019 10:44:51 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
2600 - Land Use Program
RECORD_ID
SU0004149
FACILITY_NAME
QX-96-0001
STREET_NUMBER
36869
Direction
S
STREET_NAME
KOSTER
STREET_TYPE
RD
City
TRACY
ENTERED_DATE
5/12/2004 12:00:00 AM
SITE_LOCATION
36869 S KOSTER RD
RECEIVED_DATE
9/22/1996 12:00:00 AM
QC Status
Approved
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FilePath
\MIGRATIONS\K\KOSTER\36869\QX-96-01_EIR 96-3\SU0004149\PUB REC REL APPL.PDF
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EHD - Public
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1 a <br /> W <br /> AL <br /> 'I <br /> operational rates, vehicle trip lengths, and level of service on adjoining roadways would be <br /> similar for all three of these alternatives. <br /> As previously indicated in Table 4.5-8, operation of the proposed project would result in <br /> + ' increased emissions of CO generated by mobile sources. As discussed in Section 4.4, the <br /> Koster Road/State Route (SR) 132 intersection and the Interstate 5 (1-5)Isouth-bound on- 0 <br /> ramp at Bird Road are projected to operate at unacceptable levels of service during AM <br /> peak hours under cumulative conditions. As a result, localized CO concentration may <br /> occur at these inter-sections, which could potentially result in adverse impacts to nearby <br /> sensitive receptors (if present). <br /> Potential sensitive receptors (residences) located near the Koster Road/SR 132 I� <br /> intersection could be adversely impacted b localized CO concentrations. For this reason, <br /> the SJVUAPCD has recommended that CO modeling be performed to analyze the impact <br /> on local CO concentrations at the Koster Road/SR 132 intersection. No sensitive receptors <br /> a are located in the vicinity of the 1-5/south-bound on-ramp at Bird Road. <br /> Analysis of localized CO concentrations was performed using the fourth generation <br /> California Line Source Dispersion Model (CALINE4) developed by the California I� <br /> Department of Transportation. Input data for this model includes meteorology, street <br /> network geometrics, site data, traffic volumes, and emission generation rates. Carbon 10 <br /> monoxide modeling was performed for two scenarios: (1) Existing Plus Project, based on <br /> projected Year 1997 traffic volumes and Year 1997 emission factors; and (2) Cumulative <br /> Plus Project (worst-case scenario), based on projected Year 2017 cumulative traffic <br /> volumes and Year 1997 emission factors. Using 1997 emission factors represents a worst- <br /> case scenario, because in the future cleaner burning fuels and improved pollution control !j <br /> devices are expected to reduce CO emissions from vehicles. Results of the CO modeling <br /> are summarized in Table 4.5-9 and background data is provided in Section 7.5. <br /> As indicated in Table 4.5-9, the Existing Plus Project scenario would result in a 1-hour <br /> predicted CO concentration of 10.3 PPM and an 8-hour predicted CO concentration of 4.7 i <br /> PPM. The Cumulative Plus Project (worst-case) scenario would result in a 1-hour <br /> .predicted CO concentration of 10.6 PPM and an 8-hour predicted CO concentration of 4.9 <br /> PPM: The Existing Plus Project and the Cumulative Plus Project scenarios would not j <br /> exceed the state and federal 8-hour CO standard of 9 PPM or the state 1-hour CO <br /> standard of 20 PPM. As a result, localized CO concentrations resulting from mobile source <br /> emissions would be a less-than-significant impact for Alternatives 1, 2, and 3. <br /> M <br /> F <br /> Draft Environmental Impact Report 4-79 ER-96-3 <br />
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