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PR0535342
EnvironmentalHealth
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4700 - Waste Tire Program
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PR0535342
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PR0535342
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Entry Properties
Last modified
7/29/2020 5:32:38 PM
Creation date
7/22/2020 8:36:59 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
4700 - Waste Tire Program
RECORD_ID
PR0535342
PE
4740
FACILITY_ID
FA0020390
FACILITY_NAME
RENEWED RESOURCES CORP
STREET_NUMBER
29425
Direction
S
STREET_NAME
MACARTHUR
STREET_TYPE
RD
City
TRACY
Zip
95376
APN
25312026
CURRENT_STATUS
02
SITE_LOCATION
29425 S MACARTHUR RD
P_LOCATION
99
P_DISTRICT
005
QC Status
Approved
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SJGOV\gmartinez
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EHD - Public
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ON-S ITE <br /> • Keep instrument from direct sunlight. <br /> • The more stable the environment, ie. temperature. the better the results. If <br /> possible provide a shelter for the instrument. <br /> • Maintain a separate field anal i al log book for instrument at each site. <br /> • Document all problems and instrument performance checks in the instrument <br /> log book and the field analytical log. <br /> • To avoid losing data, change batteries every 4 hours. The instrument does not <br /> warn the user that the battery is low. <br /> • Use the battery eliminator if you have a stable electricity source. <br /> • The batteries in the instrument are NICd and wid overcharge if left plugged in <br /> for extended periods of time. <br /> • The TAT has developed on-site data manipulation and reporting lotus macros <br /> for daily field use (see SOP). <br /> • All data stored in instrument will be lost if the batteries are disconnected for <br /> extended periods of time- Download data daily to prevent data loss. <br /> • Do field QC checks and act on data that falls outside established ranges, i.e. <br /> reanalyze, rehomogenize or repeat energy calibration. <br /> POST-SA,MPI I`(-, A-ND PRF- FPORTI-T <br /> • Do a QA verification on data that is to be used as :'screening pius 10 <br /> definitive' category data. <br /> • Use the TAT guidelines for QA verification of both .XRF data and for <br /> "screening plus 10 % definitive category' data- <br /> • Conduct correlation and regression analyses for XRF versus "definitive <br /> category' sets. Lotus macros for this are available. <br /> • Correlation and comparability between the "definitive category' data set and <br /> Spectrace data sets are usually good. However the predictability of anv one <br /> result to its confirmation sample may vary based on numerous factors (eg. soil <br /> type, contaminate type and form, deposition mechanism, mixing of samples, <br /> QA/QC on samples). Generally an r-squared value > 0.75 is acceptable. <br />
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