A quality-assurance assessment for constituents reported by the national atmospheric deposition program and the national trends network

See, Randolph B.; Schroder, L.J.; Willoughby, Timothy C.

doi:10.1016/0004-6981(89)90063-2

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…1) as a way to contrast wet deposition data for locations with varying meteorological, topographic, and pollution characteristics. concentrations and pH in wet deposition in the U.S. (See et al, 1989). A Belfort B5-780 rain-gauge (daily resolution) and Aerochem Metrics 301 precipitation collector (ACM) were operated in parallel at each NADP/NTN site.…”

Section: Data Descriptionmentioning

confidence: 99%

“…For the ACM, weekly samples were collected (Tuesday to Tuesday) and sent to the Central Analytical Laboratory (CAL) at the Wisconsin State Laboratory of Hygiene (WSLH) for data analysis, entry, verification, and screening (http://nadp.slh.wisc.edu/NTN/). Details associated with quality control and quality assurance (QA/QC) are provided elsewhere (NADP, 2014;See et al, 1989). Major ions were speciated and quantified using ion chromatography (IC).…”

Section: Data Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Contrasting wet deposition composition between three diverse islands and coastal North American sites

Dadashazar

Hilario

et al. 2021

Atmospheric Environment

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This study examined spatial variations of precipitation accumulation and chemistry for six sites located on the West and East Coasts of the U.S., and one site each on the islands of Hawaii, Bermuda, and Luzon of the Philippines (specifically Manila). The nine coastal sites ranged widely in both mean annual precipitation accumulation, ranging from 40 cm (Mauna Loa, Hawaii) to 275 cm (Washington), and in terms of monthly profiles. The three island sites represented the extremes of differences in terms of chemical profiles, with Bermuda having the highest overall ion concentrations driven mainly by sea salt, Hawaii having the highest SO 4 2 − mass fractions due to the nearby influence of volcanic SO 2 emissions and mid-tropospheric transport of anthropogenic pollution, and Manila exhibiting the highest concentration of non-marine ions (NH 4 + non-sea salt[nss] SO 4 2 − , nss Ca 2+ , NO 3 − , nss K + , nss Na + , nss Mg 2+ ) linked to anthropogenic, biomass burning, and crustal emissions. The Manila site exhibited the most variability in composition throughout the year due to shifting wind directions and having diverse regional and local pollutant sources. In contrast to the three island sites, the North American continental sites exhibited less variability in precipitation composition with sea salt being the most abundant constituent followed by some

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Section: Data Descriptionmentioning

confidence: 99%

Section: Data Descriptionmentioning

confidence: 99%

Contrasting wet deposition composition between three diverse islands and coastal North American sites

Dadashazar

Hilario

et al. 2021

Atmospheric Environment

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“…This study is intended to inform and guide changes to this policy. Willoughby, T.C., See, R.B., and Schroder, L.J., 1989, Stability of nitrate-ion concentrations in simulated deposition samples used for quality-assurance activities by the U.S. Geological Survey: U.S. Geological Survey Water-Resources Investigations Report 89-4042, 15 p. Yang, D., Goodison, B.E., and Metcalfe, J.R., 1998, Accuracy of NWS 8" standard nonrecording precipitation gauge-Results and application of WMO intercomparison: Journal of Atmospheric and Oceanic Technology, v. 15, p. 54-68. Yang, D., Goodison, B.E., Metcalfe, J.R., Louie, P., Leavesley, G.L., Emerson, D., Hanson, C.L., Golubev, E.E., Gunther, T., Pangburn, T., Kang, E., and Milkovic, J., 1999, Quantification of precipitation measurement discontinuity induced by wind shields on national gauges: Water Resources Research, v. 35, no.…”

Section: Discussionmentioning

confidence: 99%

Effects of equipment performance on data quality from the National Atmospheric Deposition Program/National Trends Network and the Mercury Deposition Network

Wetherbee¹,

Rhodes²

2013

Open-File Report

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The U.S. Geological Survey Branch of Quality Systems operates the Precipitation Chemistry Quality Assurance project (PCQA) to provide independent, external qualityassurance for the National Atmospheric Deposition Program (NADP). NADP is composed of five monitoring networks that measure the chemical composition of precipitation and ambient air. PCQA and the NADP Program Office completed five short-term studies to investigate the effects of equipment performance with respect to the National Trends Network (NTN) and Mercury Deposition Network (MDN) data quality: sample evaporation from NTN collectors; sample volume and mercury loss from MDN collectors; mercury adsorption to MDN collector glassware, grid-type precipitation sensors for precipitation collectors, and the effects of an NTN collector wind shield on sample catch efficiency. Sample-volume evaporation from an NTN Aerochem Metrics (ACM) collector ranged between 1.1-33 percent with a median of 4.7 percent. The results suggest that weekly NTN sample evaporation is small relative to sample volume. MDN sample evaporation occurs predominantly in western and southern regions of the United States (U.S.) and more frequently with modified ACM collectors than with N-CON Systems Inc. collectors due to differences in airflow through the collectors. Variations in mercury concentrations, measured to be as high as 47.5 percent per week with a median of 5 percent, are associated with MDN sample-volume loss. Small amounts of mercury are also lost from MDN samples by adsorption to collector glassware irrespective of collector type. MDN 11-grid sensors were found to open collectors sooner, keep them open longer, and cause fewer lid cycles than NTN 7-grid sensors. Wind shielding an NTN ACM collector resulted in collection of larger quantities of precipitation while also preserving sample integrity.

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“…Statistical examinations of long-term quality assurance data from environmental monitoring networks rarely appear in the literature (see, however, See et al [1989]). Most investigations of trends in stream water quality restrict the role of quality assurance information to one of identifying, for purposes of elimination, those water quality samples or COO in the bias of chemical measurements, and assessments of the effect of bias on estimates of trends in ambient data, have not previously appeared.…”

Section: Introductionmentioning

confidence: 99%

Correction of stream quality trends for the effects of laboratory measurement bias

Alexander¹,

Smith²,

Schwarz³

1993

Water Resources Research

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We present a statistical model relating measurements of water quality to associated errors in laboratory methods. Estimation of the model allows us to correct trends in water quality for long‐term and short‐term variations in laboratory measurement errors. An illustration of the bias correction method for a large national set of stream water quality and quality assurance data shows that reductions in the bias of estimates of water quality trend slopes are achieved at the expense of increases in the variance of these estimates. Slight improvements occur in the precision of estimates of trend in bias by using correlative information on bias and water quality to estimate random variations in measurement bias. The results of this investigation stress the need for reliable, long‐term quality assurance data and efficient statistical methods to assess the effects of measurement errors on the detection of water quality trends.

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A quality-assurance assessment for constituents reported by the national atmospheric deposition program and the national trends network

Cited by 10 publications

References 4 publications

Contrasting wet deposition composition between three diverse islands and coastal North American sites

Contrasting wet deposition composition between three diverse islands and coastal North American sites

Effects of equipment performance on data quality from the National Atmospheric Deposition Program/National Trends Network and the Mercury Deposition Network

Correction of stream quality trends for the effects of laboratory measurement bias

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