Quality assurance and quality control data validation procedures used for the Love Canal and Dallas lead soil monitoring programs

Brown, Kenneth D.; Black, S.C.

doi:10.1007/bf00398841

Cited by 8 publications

(4 citation statements)

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“…• Quality assuranceand quality control methods and procedures for collecting and handing samples must be an integral part of the soil sampling program. This topic is discussed in USEPA (1984, 1987a, 1987b), Brown and Black (1983), Taylor and Stanley (1985), Garner (1985), Taylor (1987) and Keith (1991).…”

Section: Quality Assuranceand Quality Controlmentioning

confidence: 99%

Statistical methods for evaluating the attainment of cleanup standards. Volume 3, Reference-based standards for soils and solid media, Revision 1

Gilbert¹,

Simpson²

1992

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Quantile and Wilcoxon Rank Sum (WRS) Tests for Type I Error Rate e = 0.01 for when m = n. m and n are the Number of Required Measurementsfrom the Reference Area and the Cleanup Unit, respectively ......... A.2 • A.3 Approximate Power and Number of Measurementsfor the Quantile and Wilcoxon Rank Sum (W,RS) Tests for Type I Error Rate e = 0.025 for when m = n. m and n are the , Number of Required Measurementsfrom the Reference Area and the Cleanup Unit, respectively ......... A.7 A.4 Approximate Power and Number of Measurementsfor the Quantile and Wilcoxon Rank Sum (WRS) Tests for Type I Error Rate e = 0.05 for when m-n. m and n are the Number of Required Measurementsfrom the Reference Area and the Cleanup Unit, respectively ......... A.12 xi ¢ A.5 Approximate Power and Number of Measurementsfor the quantile and Wilcoxon Rank Sum (WRS) Tests for Type I Error Rate e-0.10 for when m-n. m and n are the Number of Required Measurementsfrom the Reference Area and the Cleanup Unit, respectively ......... A.17 Q.

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Section: Quality Assuranceand Quality Controlmentioning

confidence: 99%

Statistical methods for evaluating the attainment of cleanup standards. Volume 3, Reference-based standards for soils and solid media, Revision 1

Gilbert¹,

Simpson²

1992

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“…Detection limits are 0.1 μg/L for As, 1μg/L for Cr, 0.3μg/L for Ni, and 5μg/L for Bi. The QA/QC data validation procedures that were used (Brown and Black, 1983) include validation of sample data sets by checking and assessing the accompanying QA/QC data. Recovery was between 95% and 100%.…”

Section: Sampling Strategy and Survey Methodologymentioning

confidence: 99%

Assessing the Risk of Soil Pollution around an Industrialized Mining Region Using a Geostatistical Approach

Modis¹,

Vatalis²

2013

Soil and Sediment Contamination: An International Journal

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Knowledge of mobility of some heavy metals in coal mining areas is fundamental in order to understand their toxicity and geochemical behavior. This paper aims to map pollution and assess the risk to agricultural soils in a wider lignite opencast mining and industrial area. Geochemical data related to environmental studies show that the waste characteristics favor solubilization and mobilization of inorganic contaminants. The geochemical distribution of soil pollution is studied by the application of the Bayesian Maximum Entropy (BME) procedure, a versatile extension of geostatistics which allows merging spatial and temporal estimations in a single model. Results reveal a correlation range of contaminants concentrations up to 5000 m and indicate a potential forecasting range of up to five years. Inspection of the produced spatiotemporal maps indicates that the whole study area is contaminated by As and various heavy metals, a situation which seems to be more or less stable over time.

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“…Well drilling/completion, purging, sampling and analysis steps all contribute to error in ground-water monitoring results. Therefore quality assurance procedures and quality control checks were strictly followed and implemented throughout the project in order to get accurate results [14][15].…”

Section: Methodsmentioning

confidence: 99%

Study of Health & Environmental Risks Associated with Polluted Water Irrigation

Ashraf¹,

Mahmood²,

Maah³

et al. 2011

IJCEA

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A study was conducted in Jamber Khurd, a union council of Tehsil Pattoki, district Kasur in Punjab province, Pakistan, in order to determine the effects of using polluted water for irrigation which disturbed the quality of ground water and then its ultimate effects on the environment and health of common man living in the area. Different water quality parameters were studied in ground water samples that includes physico-chemical variables (pH, temperature, dissolved oxygen, conductivity, turbidity and total dissolved solids), anions (carbonates, bicarbonates and chlorides), cations (sodium, calcium and magnesium), biological variables like total coliform (faecal coliform and E-coli), heavy metals (manganese, nickel, chromium, lead, copper, cobalt, iron and zinc), sodium absorption ratio and residual sodium carbonate. The results were compared with National Environment Quality Standards. The results of the study show that, the use of polluted water increases the value of conductivity, total dissolved solids, sodium absorption ratio and residual sodium carbonate in ground water and exceeds the acceptable limits of National Environment Quality Standards. The increase in values was statistically significant. After detailed survey by conducting interview, it was concluded that the use of polluted water not only degraded the ground water quality but also have a severe health hazard on the residents of the area. The concentration of heavy metals was also found to be higher than acceptable range. Possible recommendations were given, in order to protect the area from pollution degradation.

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Quality assurance and quality control data validation procedures used for the Love Canal and Dallas lead soil monitoring programs

Cited by 8 publications

References 0 publications

Statistical methods for evaluating the attainment of cleanup standards. Volume 3, Reference-based standards for soils and solid media, Revision 1

Statistical methods for evaluating the attainment of cleanup standards. Volume 3, Reference-based standards for soils and solid media, Revision 1

Assessing the Risk of Soil Pollution around an Industrialized Mining Region Using a Geostatistical Approach

Study of Health & Environmental Risks Associated with Polluted Water Irrigation

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