Reanalysis of a 15-year archive of IMPROVE samples September 2012 Nicole Hyslop, Krystyna Trzepla-Nabaglo, and Warren White Work supported by United States.

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Presentation transcript:

Reanalysis of a 15-year archive of IMPROVE samples September 2012 Nicole Hyslop, Krystyna Trzepla-Nabaglo, and Warren White Work supported by United States National Park Service Contract C to UC Davis

IMPROVE Elemental Analysis Methods 2

ORIGINAL CONCENTRATION MEASUREMENTS Data downloaded from VIEWS website

Analytical Method Changes: Sulfur -Measured well above detection limits 4 GRSM1 MORA1PORE1

Analytical Method Changes: Vanadium 5 GRSM1 MORA1 PORE1

Analytical Method Changes: Nickel 6 GRSM1 MORA1 PORE1

Samples of specific advisories posted at data portal

Sites selected for reanalysis: Great Smoky Mountains (GRSM1) Mount Rainier (MORA1) Point Reyes (PORE1) Feasibility of Reanalyzing Filters The IMPROVE network has – Used the same size selective inlets and Teflon filters to collect 24h PM 2.5 samples for elemental analyses – Used non-destructive analytical methods on the Teflon filters We were able to recover filters back to 1995 We can analyze archived filters with current analytical protocol in a single analytical batch 8

REANALYSIS RESULTS Shown as ratios to original concentration measurements

Reanalysis Results: Sulfur 10

Reanalysis Results: Vanadium Note change in y-axis scale 11

Reanalysis Results: Nickel 12

TRENDS ANALYSIS Evaluate trends in original and reanalysis data

Original and Reanalysis Trends: Sulfur 14 GRSM1 MORA1 PORE1

Vanadium Trends: treatment of non-detects affects trends 15 GRSM1 MORA1 PORE1

Original and Reanalysis Trends: Nickel 16 GRSM1 MORA1 PORE1

Advice for the analyst: 1.Elements measured close to the detection limits are the most sensitive to changes in analytical method 2. Expect shifts in concentrations over time even with consistent methods 3.Trend analyses are particularly sensitive to analytical changes and treatment of data near or below detection limits

Mauna Loa 20+ Years of (Mostly) Unpublished Data Mauna Loa started operating in 1988 Data have not been reported consistently Samples have not been analyzed continuously Recently analyzed samples from on Cu-XRF and Mo-XRF systems Preparing delivery file for

Mauna Loa, Overnight and 24-hour Compositions MALO has two PM 2.5 modules – MALO1: first module runs all the time for 3-4 days – MALO2: second module runs only at night for 3-4 days

Mauna Loa, hr versus Overnight Samples Overnight samples create a concentration edge for the 24-hr samples

Mauna Loa overnight,

 PIXE XRF   PIXE XRF   PIXE XRF   PIXE XRF  Mauna Loa overnight  PIXE XRF   PIXE XRF 

Mauna Loa overnight Long-term trends from the overnight-only module

MALO Plans Warren and I are working on a short (technical note) publication on the MALO data set to introduce it to the community. MALO data processing is done by hand – Current data processing system can’t handle the odd schedules – Modules are non-standard – If these modules will keep running, we need to plan to accommodate them in the new data management system. 24