Wetfall deposition chemistry data

Data Access: 

Unrestricted

Dataset status: 

Study number: 

16

Data set ID: 

2100169002

Date range: 

1983-12-05 to 2000-12-26

Original investigator: 

William H Schlesinger

Data contact: 

Abstract: 

Wet atmospheric fallout (wetfall occurring as precipitation) is collected monthly using an Aerochem Metrics wetfall/dryfall collector located at the LTER weather station. Each sample is analyzed for NO3, NH4, Cl, SO4, Ca, Mg, Na, K, Total N, & Total P.

Methods: 

Methods of recording: instrumental

An Aerochem metrics WET/DRY Precipitation collector holds both a WET and a DRY precipitation collector bucket (11" top diameter). The bucket is replaced in the field with a clean bucket whenever one is brought back from the field for processing. The DRY is collected once a month. The WET is collected after each collectable rain event. Preliminary sample preparation is done in Rm 236 as per written procedure. Samples are then sent to Dr. W.H. Schlesinger at Duke University for analysis. Results sent back have had values adjusted for any dilutions done when preparing the samples for analysis. Blank values have also been subtracted out. Preparation of WETFALL/DRYFALL PRECIPITATION samples for analysis: (FILE: WETDRY.PRO) UPDATED: 6/8/88 as per conversation with Bill Schlesinger. Cleaning: All materials that come in contact with sample are cleaned as follows: 1. Rinse thoroughly with tap water. 2. Wash with dilute solution of Alconox detergent. 3. Rinse minimum 3 times thoroughly with deionized water. 4. Rinse minimum 3 times thoroughly with solution of 1N HCl. 5. Rinse minimum 5 times thoroughly with deionized water. 6. Do not touch any surfaces that will be in contact with sample. 7. Place materials in drain to dry in such a position that surfaces to be in contact with sample will not be contaminated by drain or by particulate fallout. Do not leave collector buckets overnight. 8. Filter apparatus, bottles, etc. used to process sample are to be rinsed 3 times with deionized water immediately prior to using when they are clean. Otherwise, clean as per steps 1-7 above immediately before using. For WETFALL sample only: Add up to 100ml to one pre-weighed 125ml bottle of WETFALL sample. Add approximately 1 microliter of PMA (phenylmercuric acetate) for each milliliter of sample. Weigh 125ml bottle with sample. Subtract bottle weight from total weight and calculate amount of WETFALL assuming 1g=1ml water. If more WETFALL remains in collection bucket, weigh remaining bucket sample, obtain total WETFALL volume, and record in WET/DRY PRECIPITATION data book. Each bottle is labeled with type of analysis to be performed, type of precipitation (wet or dry), and collection date. We try to provide subsamples of 100ml for each type of analysis. Samples are refrigerated until just prior to shipping. Analysis: In each sample, F, Cl, NO3, SO4, NH4, Ca, Mg, Na, K, total N, and total P are determined by standard laboratory procedures: F, Cl, NO3, SO4 by ion chromatography, NH4 by autoanalyzer: Ca, Mg, Na, by atomic absorption spectrophotometry, total N and total P by persulfate digestion (D'Elia et al. 1977, Limnology and Oceanography 22:760-764) and by autoanalyzer. Dissolved Organic Nitrogen (DON) is determined by subtracting inorganic nitrogen (NO3-N and NH4-N) from Total Nitrogen (TN) as determined using the D'Elia persulfate digestion and autoanalyzer.

Quality assurance: 

Raw analyzed data has been adjusted for dilution factor occurring in sample preparation and for blank values associated with each date. Values were reported for NO3-N and NH4-N prior to October 1987. These values have been corrected in the data set so they now report NO3 and NH4. The conversion is NO3-N x 62/14 = NO3 NH4-N x 18/14 = NH4 DON = Total N - (NO3-N + NH4-N) - (instrument blank)

Additional information: 

Jornada LTER weather station located about 1km south of NMSU College Ranch headquarters.

Maintenance: 

Frequency of measurement: monthly

Long-term dataset: 

Signature dataset: 

LTER Core Area(s): 

Data category: 

LTER VI Proposal Category: 

DOI: 

10.6073/pasta/113