Interagency Monitoring of Protected Visual Environments (IMPROVE) Data Precision Nicole P. Hyslop and Warren H. White.

Slides:



Advertisements
Similar presentations
Using In-Network Precision Data as a Basis for Cross-Network Comparisons Warren H. White, Nicole P. Hyslop, and Charles E. McDade AAAR Specialty Conference:
Advertisements

PM Chemical Composition Jiří Smolík, Jaroslav Schwarz Institute of Chemical Process Fundamentals AS CR, Praha.
 Single Replacement Reactions + + . General Equation A + BX  AX + B.
Writing Ionic Formulas Chemical Formulas from Names & Names from Chemical Formulas.
In order to learn chemistry we need to learn to talk chemistry. Lots of words have vague meaning in “real life” but mean specific things in chemistry.
P. D. Hien, V. T. Bac, N. T. H. Thinh Vietnam Atomic Energy Commission.
Predicting TOR OC and EC from FT-IR Spectra of IMPROVE samples Ann M. Dillner Assoc. Research Scientist University of California, Davis Satoshi Takahama.
Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft Neutron capture cross sections on light nuclei M. Heil, F. Käppeler, E. Uberseder Torino workshop,
IMPROVE Report 2006 L. Debell, K. Gebhart, B. Schichtel and W. Malm.
Mole Calculation Review. Objective/Warm-Up  SWBAT perform mole calculations. Explain the picture:
The Effect of Non-Composted and Composted Soil on Nutrient Concentrations in Green Beans By Nicol, Scott, and Jenn.
Hydrogen H Zinc Zn Chlorine Cl Copper Cu Helium He.
The Nature of Molecules
Flashcard Elements Sodium Na Potassium K Fluorine F.
Comparison of the STN and IMPROVE Networks for Mass and Selected Chemical Components (Preliminary Results) Paul Solomon, ORD Tracy Klamser-Williams, ORIA.
The Schrödinger Model and the Periodic Table. Elementnℓms H He Li Be B C N O F Ne.
Air Quality Surveillance Branch Air Monitoring Operations l Manual and Non-criteria Samplers » Reggie Smith » Special Purpose Monitoring & Data Support.
Binary Compounds Metals (variable oxidation) + Nonmetals.
Please do not write on this document. Thank you. Atomic Radius Data Element Name Atomic Number Atomic Radius (pm) Height of Straws (cm) H He
Chemical Families. Groups of Elements   Lanthanides Li 3 He 2 C6C6 N7N7 O8O8 F9F9 Ne 10 Na 11 B5B5 Be 4 H1H1 Al 13 Si 14 P 15 S 16 Cl.
Introduction Montelupo Fiorentino is a little town about 20 km west of Florence, characterised by the presence of a large number of ceramic and glass factories.
Periodic Table Of Elements
Oxidation: any process by which an entity loses electrons. e.g.2Mg o + O 2 o 2Mg 2+ + O 2- H 2 o + F 2 o 2H + F - Mg and H are oxidised in these examples.
Symbol Review ? ? ? ? ? ? ?.
Ions Wednesday January 8, 2014
Reactions Reference. Solubility Rules 1.All nitrates, acetates, and chlorates are soluble. 2.All chlorides, bromides, and iodides are soluble except for.
“Quick Look” Trajectory Assessment of Phase 1 Battelle PMF Sources at Lye Brook Wilderness IMPROVE Site P. Wishinski & R. Poirot, VT DEC ° 9 PMF Sources.
Modern Periodic Table Objective:
Alkali Metals, Group 1 H N OF Cl Br I Li Na K Fr Be Mg Ca Ra Sc Ac He Ne Ar Kr Rn Ti V Cr Mn Fe Co Ni Cu ZnGa Ge As Se Rb Sr Y Xe Zr Nb Mo Tc Ru Rh Pd.
Fig Fig H Rb K Na Li Fr Cs Sr Ca Mg Be Ra Ba Y Sc Ac La Zr Ti Rf Hf Nb V Db Ta Mo Cr Sg W Tc Mn Bh Re Ru Fe Hs Os Rh Co Mt Ir Pd Ni Uun Pt.
Georgia Institute of Technology SAMI Aerosol Modeling: Performance Evaluation & Future Year Simulations Talat Odman Georgia Institute of Technology SAMI.
Study of Elements All Elements. Chromium Cr Hydrogen H.
57 Elements Test Review. Hydrogen H Lithium Li.
Source Contribution to PM 2.5 and Visibility Impairment in Two Class I Areas Using Positive Matrix Factorization Keith Rose EPA, Region 10 June 22, 2005.
Periodic Table Physical Properties
H Hydrogen.
S2 SCIENCE CHEMICAL REACTIONS
Periodic Table of Elements
Metal or non-metal? iron (Fe) iodine (I) antimony (Sb) copper (Cu)
1 H 2 He 3 Li 4 Be 5 B 6 C 7 N 8 O 9 F 10 Ne 11 Na 12 Mg 13 Al 14 Si
Chemeketa Community College
Source Apportionment of Water Soluble Elements, EC/OC, and BrC by PMF
Single Replacement Reactions
Predicting Reactions.
Chemistry Metals and non metals.
Periodensystem Biomaterials Research - Manfred Maitz H He Li Be B C N
9E Metals and Metal Compounds
Emission of Energy by Atoms and Electron Configurations
Trends of the Periodic Table
Periodic Table Kelter, Carr, Scott, Chemistry A Wolrd of Choices 1999, page 74.
Binary Compounds NaCl sodium chlor ine ide (Na1+ Cl1-) CaS
AQA GCSE Atomic structure and periodic table part 2
Soil processes and trace metals
Periodic Table of the Elements
PERIODIC TABLE OF ELEMENTS
Metals and Metal Compounds
Speed Dating Speed Dating H Na Speed Dating Speed Dating K Be.
Ionic Compounds Formula to Name
Electron Configurations
DETECTION LIMITS < 1 ppt ng/L 1-10 ppt ng/L ppt ng/L
Line Spectra and the Bohr Model
The Periodic Table Part I – Categories of Elements
Section 3: Transition Metal Ions
Dr. S. B Maulage Dept of Chemistry.
Predicting the Product in Single Replacement Reactions
Electron Configurations and the Periodic Table
The Periodic Table Part I – Categories of Elements
The UC Davis Semi-Annual Report on Quality Assurance IMPROVE Steering Committee Meeting October 16, 2018 | Fort Collins, Colorado Xiaolu Zhang*, Katrine.
Presentation transcript:

Interagency Monitoring of Protected Visual Environments (IMPROVE) Data Precision Nicole P. Hyslop and Warren H. White

IMPROVE Collocated (Duplicate) Measurements Established for the first time in Established for the first time in Seven collocated modules of each type. Seven collocated modules of each type. Two objectives Two objectives –Evaluate precision of measurements and –Determine if uncertainty estimates are accurate. Captures uncertainty resulting from sample collection, sample analysis, and data processing. Captures uncertainty resulting from sample collection, sample analysis, and data processing. Does not capture uncertainty resulting from temperature uncertainty or calibration uncertainty. Does not capture uncertainty resulting from temperature uncertainty or calibration uncertainty.

Module Type Site Code Site Name Stat e Start Date A PM 2.5 mass & elements MEVEMesa Verde NPCO8/13/03 PMRF Proctor Maple Research Facility VT9/3/03 OLYMOlympic NPWA11/8/03 PHOEPhoenixAZ3/30/04 SAFOSac and Fox NationKS 11/20/0 3 TRCRTrapper CreekAK6/22/04 SAMASaint MarksFL 11/18/0 4 B PM 2.5 anions LAVOLassen Volcanic NPCA4/18/03 MACAMammoth Cave NPKY5/12/03 BIBEBig Bend NPTX8/30/03 GAMO Gates of the Mountains WA MT9/23/03 FRREFrostburg ReservoirMD4/15/04 BLMO Blue Mounds State Park MN9/16/04 PHOEPhoenixAZ3/30/04 Module Type Site Code Site Name Stat e Start Date C PM 2.5 organic & elemental carbon EVEREverglades NPFL7/11/03 SENESeney NWRMI8/10/03 HOOVHoover WACA8/13/03 MELAMedicine Lake NWRMT9/25/03 PHOEPhoenixAZ3/30/04 SAWESaguaro NP WestAZ3/25/04 HEGLHercules-Glade WAMO9/15/04 D PM 10 mass JOSHJoshua Tree NPCA8/7/03 QUREQuabbin ReservoirMA9/4/03 HOUSHoustonTX4/4/03 JARBJarbridge WANV6/30/04 PHOEPhoenixAZ3/30/04 WICAWind Cave NPSD9/17/04 SWANSwanquarter WANC11/9/04

Uncertainty and Precision in this Presentation Uncertainty refers to the expected variance in outcomes of measurements repeated under the same conditions. Uncertainty refers to the expected variance in outcomes of measurements repeated under the same conditions. Collocated precision refers to the variance of relative differences between the duplicate measurements. Collocated precision refers to the variance of relative differences between the duplicate measurements.

Collocated Sulfur Data

Collocated Selenium Data

Collocated Precision Calculations U.S. EPA designated method (FRM, 1997) U.S. EPA designated method (FRM, 1997) Only use pairs where the average concentration is greater than 3 * MDL. Only use pairs where the average concentration is greater than 3 * MDL.

Estimated Uncertainty for each Concentration An uncertainty estimate is reported with every species concentration. An uncertainty estimate is reported with every species concentration. –Estimates are based on individual sources of measurement uncertainty and propagation of errors.

Why don’t the collocated precisions meet the expectations? Analytical issues Analytical issues –Analysis area –Minimum detectable limits (mdl’s) –Concentrations always close to mdl Sampling discrepancies Sampling discrepancies –Cyclone cutpoint differences –Non-uniform deposits –Deposit area

Copper-anode XRF Element Metrics Species Count > 3*MDL † Estimated Uncertainty Collocated Precision Collocated/ Estimated Na1525%50%2.0 Mg9n < 10 - Al25714%69%5.0 Si53311%41%3.7 P2118%131%7.3 S5775%8%1.6 Cl10512%68%5.6 K5776%13%2.3 Ca5776%19%3.0 Ti52811%30%2.6 V45718%21%1.2 Cr10828%56%2.0 Mn52912%24%2.0 Fe5775%18%3.3 † 577 valid pairs

Sulfur by XRF and Sulfate by IC Species Count > 3*MDL Estimated Uncertainty Collocated Precision Collocated/ Estimated Sulfur577/5775.3%8.2%1.56 Sulfate801/8234.8%4.1%0.86

Soil-derived Elements Species Count > 3*MDL Estimated Uncertainty Collocated Precision Collocated/ Estimated Ca577/5776.2%18.8%3.0 Fe577/5775.5%17.9%3.3

Minimum Detectable Limits (mdl) Species Count > 3*MDL Estimated Uncertainty Collocated Precision Collocated/ Estimated Si533/ %40.5%3.7 Cl105/ %68.4%5.7

Entire networkJanuary - April

Original CriteriaBoth Detected Species No. Pairs Collo / Estimated No. Pairs Collo / Estimated Na Mg Al Si P S Cl K Ca Ti V Cr Mn Fe Original CriteriaBoth Detected Species No. Pairs Collo / Estimated No. Pairs Collo / Estimated PM H Ni Cu Zn As Se Br Rb Sr Zr Pb

Molybdenum-anode XRF Element Metrics Species Count > 3*MDL † Estimated Uncertainty Collocated Precision Collocated/ Estimated Ni22212%32%2.8 Cu49912%30%2.5 Zn5756%25%4.0 As6014%15%1.1 Pb54112%22%1.8 Se40614%15%1.1 Br5767%8%1.2 Rb6424%28%1.2 Sr26611%23%2.1 Zr5n < 10 - † 577 valid pairs

Thermal Optical Carbon Metrics Species Count > 3*MDL † Estimated Uncertainty Collocated Precision Collocated/ Estimated O17233%44%1.3 O230322%18%0.8 O325517%24%1.4 O445617%26%1.5 OP21229%45%1.5 E161416%24%1.5 E221530%37%1.2 E312952%115%2.2 OC39912%17%1.5 LAC24412%22%1.8 TC42411%17%1.5 † 775 valid pairs

Carbon Fraction Analytical Uncertainty, u analytic 2004 Replicate Precision Precision/ Uncertainty OC127%41%1.5 OC216%17%1.1 OC311%19%1.7 OC413%20%1.5 OP27%50%1.9 EC113%24%1.9 EC226%31%1.2 EC340%66%1.7 OC-11%- EC-21%-

Mass, PESA, and Ion Metrics SpeciesCount > 3*MDL Estimated Uncertainty Collocated Precision Collocated/ Estimated PM out of %6.2%0.95 PM out of %8.0%1.63 H577 out of %8.4%1.31 Chloride183 out of %32.5%2.96 Nitrate685 out of %10.4%1.34 Sulfate801 out of %4.1%0.86

Conclusions and Future Work Estimated uncertainties are not accurate for most species Estimated uncertainties are not accurate for most species –Additional sampling-related sources of uncertainty must be considered –Sample deposit uniformity must be measured –Cyclone collection efficiency must be modeled Minimum detectable limits (mdl’s) are too low for several species Minimum detectable limits (mdl’s) are too low for several species –Collocated data will be used to evaluate mdl’s

Species with Decent Agreement between Precision and Uncertainty Species Estimated Uncertainty Collocated Precision Collocated/ Estimated PM 2.5 7%6%1.0 PM 10 5%8%1.6 Na25%50%2.0 S5%8%1.6 V18%21%1.2 Mn12%24%2.0 As14%15%1.1 Pb12%22%1.8 Se14%15%1.1 Br7%9%1.2 Rb24%28%1.2 H6%8%1.3 Nitrate8%10%1.3 Sulfate5%4%0.9 OC133%44%1.3 OC222%18%0.8 OC317%24%1.5 OC417%26%1.5 OP29%45%1.5 EC116%24%1.5 EC231%37%1.2 OC12%17%1.5 EC12%22%1.8 TC11%17%1.5