The quality control chart principle: application to the routine analysis of pesticide residues in water

Vogelgesang, J.

doi:10.1007/bf00321587

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…Control charting is well established in manufacturing [2] and has been adopted in many disciplines, including environmental monitoring, e.g., [97][98][99]. Control charts have been used in many environmental studies, including studies of water quality, air quality, sediment quality, and many others [21,30,37,41,72,[100][101][102][103][104][105][106][107][108][109][110][111]. Control charts have also been suggested and used as tools in conservation science [31,112], and the concept has been used in other work, e.g., [96,113].…”

Section: Discussionmentioning

confidence: 99%

A Review of Control Charts and Exploring Their Utility for Regional Environmental Monitoring Programs

Arciszewski

2023

Environments

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Industrial control charts are used in manufacturing to quickly and robustly indicate the status of production and to prompt any necessary corrective actions. The library of tools available for these tasks has grown over time and many have been used in other disciplines with similar objectives, including environmental monitoring. While the utility of control charts in environmental monitoring has been recognized, and the tools have already been used in many individual studies, they may be underutilized in some types of programs. For example, control charts may be especially useful for reporting and evaluating data from regional surveillance monitoring programs, but they are not yet routinely used. The purpose of this study was to promote the use of control charts in regional environmental monitoring by surveying the literature for control charting techniques suitable for the various types of data available from large programs measuring multiple indicators at multiple locations across various physical environments. Example datasets were obtained for Canada’s Oil Sands Region, including water quality, air quality, facility production and performance, and bird communities, and were analyzed using univariate (e.g., x-bar) and multivariate (e.g., Hotelling’s T2) control charts. The control charts indicated multiple instances of unexpected observations and highlighted subtle patterns in all of the example data. While control charts are not uniquely able to identify potentially relevant patterns in data and can be challenging to apply in some monitoring analyses, this work emphasizes the broad utility of the tools for straightforwardly presenting the results from standardized and routine surveillance monitoring.

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Section: Discussionmentioning

confidence: 99%

A Review of Control Charts and Exploring Their Utility for Regional Environmental Monitoring Programs

Arciszewski

2023

Environments

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“…For example, Peng Nanlan et al (for example, [7]) established a standard template through establishing quality control charts with Excel software, which can generate the corresponding quality control chart automatically by importing the original data, and it is very convenient for data store and statistic. When analyzed the residual pesticides in drinking water, Jiirgen Vogelgesang (for example, [8]) used various types of quality control charts to record the recovery rate of test, and it was found that the quality assurance system can help to understand the entire pesticide palette and how it changed over time. Huang Chunsha et al (for example, [9]) established a method for drawing the pH value quality control chart of atmospheric precipitation in the acid rain observation station of Baise City, Guangxi; Tang Kun (for example, [10])clarified the methods and techniques for drawing the mean quality control chart and recovery quality control chart, and compared with other quality control charts, the quality control charts have the characteristics of simple calculation, clear graphics and effective control.…”

Section: Introductionmentioning

confidence: 99%

Study on the Quality Control Chart for Determination of Soil Organic Carbon by Instrumental Analysis

Zhang

Er-long

et al. 2020

E3S Web Conf.

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【Objective】To ensure that each analysis step is in the monitoring state. The quality control chart is used to control the process of soil organic carbon content determination, and the reasons for drifting or exceeding the allowable value of the result data can be found out in time.【Method】The content of soil organic carbon in quality control samples was determined by instrumental analysis, and the quality control chart was drawn based on the determination data in Excel 2007, which was used for the quality control of the soil organic carbon content determination process.【Result】The control line of the mean control chart was 41.94% ~ 40.51%, and the warning limit was 41. 70% ~ 41. 74%. The control line range of the range control chart is 0.00% ~ 2.75%, and the warning limit is 0.00% ~ 2. 12%.【Conclusion】The quality control chart method is simple to operate,easy to master, and can timely find the abnormal points or abnormal trends of data, which has high application value in test analysis, and can ensure the accuracy of laboratory test results.

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Extraction and Cleanup

Åkerblom

1995

Chemistry of Plant Protection

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The quality control chart principle: application to the routine analysis of pesticide residues in water

Cited by 4 publications

References 4 publications

A Review of Control Charts and Exploring Their Utility for Regional Environmental Monitoring Programs

A Review of Control Charts and Exploring Their Utility for Regional Environmental Monitoring Programs

Study on the Quality Control Chart for Determination of Soil Organic Carbon by Instrumental Analysis

Extraction and Cleanup

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