Field Quality Control Strategies for Assessing Solidification/Stabilization

2009 ◽  
pp. 685-685-6 ◽  
Author(s):  
SM Butler ◽  
EF Barth ◽  
JJ Barich
Keyword(s):  
Quality Control ◽  
Control Strategies ◽  
Field Quality

scholarly journals Strategy of Rainwater Discharge in Combined Sewage Intercepting Manhole Based on Water Quality Control

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 898 ◽  
Author(s):  
Zhongqing Wei ◽  
Xiangfeng Huang ◽  
Lijun Lu ◽  
Haidong Shangguan ◽  
Zhong Chen ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Control Strategies ◽  
Oxygen Demand ◽  
Water Volume ◽  
Urban Drainage ◽  
Sewage Pollution ◽  
Control Effect ◽  
Poor Control ◽  
Water Quality Control

In view of problems such as the poor control effect of combined sewage pollution caused by traditional intercepting weir and the limited extension of the urban drainage model, which needs a large amount of basic data, this paper not only studied the characteristics of mixed-flow pollution via the urban drainage model but also simulated and optimized 6 interception control strategies and proposed a water quality interception strategy based on the pollution concentration of combined sewage. The results showed that, compared with the traditional interception weir, the interception control strategy of rainwater discharge based on the mixed pipe network model can obviously improve the control rate of various pollutants and reduce the interception amount required for pollution control. Through optimization of the interception based on water quality control by the combination of chemical oxygen demand (COD) and NH4-N, the interception rate was improved by 10.9% to 56.1% in contrast to the traditional interception weir and the closure water volume was reduced by 1432–6154 m3, which effectively improved the reliability and economy of the interception.

scholarly journals Assessing Quality Control Strategies for HbA1c Measurements From a Patient Risk Perspective

2018 ◽  
Vol 12 (4) ◽  
pp. 786-791 ◽  
Author(s):  
Curtis A. Parvin ◽  
Nikola A. Baumann
Keyword(s):  
Risk Management ◽  
Quality Control ◽  
Risk Model ◽  
Control Strategies ◽  
Measurement Procedure ◽  
Control Performance ◽  
Patient Harm ◽  
Management Guideline ◽  
Patient Risk ◽  
Predicted Probability

Background: Current laboratory risk management principles emphasize the importance of assessing laboratory quality control (QC) practices in terms of the risk of patient harm. Limited practical guidance or examples on how to do this are available. Methods: The patient risk model described in a published laboratory risk management guideline was combined with a recently reported approach to computing the predicted probability of patient harm to produce a risk management index (RMI) that compares the predicted probability of patient harm for a QC strategy to the acceptable probability of patient harm based on the expected severity of harm caused by an erroneously reported patient result. Results: Measurement procedure capability and quality control performance for two instruments measuring HbA1c in a laboratory were assessed by computing the RMI for each instrument individually and for the laboratory as a whole. Conclusions: This assessment provides a concrete example of how laboratory QC practices can be directly correlated to the risk of patient harm from erroneously reported patient results.

Evaluation of quality control strategies in Scutellaria herbal medicines

2011 ◽  
Vol 54 (5) ◽  
pp. 951-957 ◽  
Author(s):  
Susanne P. Boyle ◽  
Paul J. Doolan ◽  
Clare E. Andrews ◽  
Raymond G. Reid
Keyword(s):  
Quality Control ◽  
Control Strategies ◽  
Herbal Medicines

Calculating Air Voids at Specified Number of Gyrations in Superpave Gyratory Compactor

1998 ◽  
Vol 1630 (1) ◽  
pp. 117-125 ◽  
Author(s):  
William R. Vavrik ◽  
Samuel H. Carpenter
Keyword(s):  
Quality Control ◽  
Current Method ◽  
Mixture Design ◽  
Calculation Procedure ◽  
Air Voids ◽  
Superpave Gyratory Compactor ◽  
Quality Control Testing ◽  
Field Quality ◽  
Back Calculation ◽  
Air Void

The Superpave volumetric mix design is based on compaction of mixtures to Nmax revolutions, yielding approximately 2 percent air voids, and then back-calculating the properties of the mixture at N design revolutions, which is the specified number of revolutions at which the sample should achieve 4 percent air voids. It has been shown, both in mixture design and in field quality control testing, that this back-calculation procedure is not always accurate for determining the number of gyrations that give 4 percent air voids in the compacted sample. The current back-calculation procedure is examined in this paper, and the observed inaccuracy in the current method is shown in both quality control/quality assurance (QC/QA) and the mixture design procedures. Also examined is an alternative method that has been shown to be more accurate in predicting the number of gyrations at which a mixture reaches a given air void level. This study recommends a method that gives higher accuracy in determining the number of gyrations at which a mixture reaches 4 percent air voids. A diverse group of mixtures, each having different properties, was examined, and an improved method for predicting the number of gyrations to accurately produce 4 percent air voids in the compacted mixture was determined.

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