*** 20th Anniversary: 2003 to 2023 ***
Check out the fourth chapter of Alberta's Air Monitoring Directive (AMD) for guidelines and methods of fluoride analysis and implications, emissions monitoring, and passive sampler accuracy and regulatory compliance. Learn how Alberta's precision standards help us ensure environmental happiness.
The last part of Chapter 4 is summarized on this page. Here's the beginning of the chapter.
Fluoride monitoring is necessary when industrial emissions could lead to fluoride accumulation in plants or forage. Plants or animals that graze on these plants could be harmed by this accumulation. The requirement applies to industrial operations that have been approved and are obligated to monitor fluoride levels in vegetation.
6.1 Fluoride Analysis
Knowing how fluoride affects plants and grazing animals requires accurate measurements of fluoride in vegetation. In accordance with the fourth chapter, the responsible person must submit their proposed analysis method to the Director for approval before monitoring vegetation fluoride.
Use only the analysis method authorized in writing by the Director. Prevent fluoride dissolution by collecting vegetation samples after rain and dew drops have dried. Test all vegetation samples for fluoride without washing them.
The rules and guidelines for monitoring industrial emissions are in this section of the fourth chapter. It applies to industrial operations that have to monitor emissions as required by their approval conditions and Alberta's laws.
7.1 Sampling Procedures
Here's how to sample emissions from industrial stacks. Sampling has to follow specific codes and methods, like the Alberta Stack Sampling Code. Deviations from these methods need the Director's approval. It's also important to make sure measurements represent emissions accurately. To ensure safety, plan sampling based on weather conditions in cold weather.
7.2 Notification of Planned Stack Surveys
When planning stack surveys or relative accuracy test audits (RATA), you need to let the Director know in advance. In Chapter 9 of the AMD, which is the Reporting Chapter, you can find the process and format for this notification.
7.3 Industrial Source Monitoring Reports
Chapter 9 of the AMD is the Reporting Chapter and it explains how to create reports for industrial source monitoring. Guidelines and requirements for preparing these reports are in Chapter 9. This section concludes the fourth chapter.
Passive samplers are used to measure air pollutants over time. In addition to being cost-effective, passive samplers cover a lot of ground. As a supplement to continuous monitoring, they're great. Air pollution patterns will be understood, regional data will be provided, and standards will be compared.
Field sampling guidance includes details on passive sampler validation, precision, and accuracy. The validation process involves checking bias, precision, correlation, and accuracy. In field sampling, you compare the data from passive samplers to a reference method monitor. Passive samplers provide accurate pollution measurements thanks to these comparisons.
Part A: Calculation of bias and precision
Bias is how far your sample's average (mean) is from the known value. It's expressed as a percentage and calculated as follows:
(Sample Mean - Known Value) x 100 = Bias (%) CHECK!!!
Passive samplers need to be validated with seven samples exposed to the same conditions. Calculate the 95% confidence limit of the bias to assess it. It should be within 25%.
See the equations in proper form in the fourth chapter. Some statistics are involved in the calculations:
Sample Mean (x̄): Average of your sample data.
Lower Confidence Limit (L): Part of the confidence limit formula.
Lower Confidence Limit (U): This is the other part.
Data variability is measured by sample standard deviation (s).
Standard Deviation of the Sample Mean (s̄): How much the sample mean varies.
A statistical value (2.447 for 95% confidence level and seven samples) for the experiment.
Another term you should know is precision. The Coefficient of Variation (CV) is calculated this way:
(Standard Deviation / Sample Mean) x 100 = CV (%)
Validation needs a CV less than 10%, indicating high precision.
Create a scatter plot when analyzing the data. Data interpretation is easier when you see the relationship between passive sampler concentrations and their replicates.
Part B: Calculation and test of correlation coefficient
Passive samplers need to be correlated with reference method monitors to be accurate. Here's what you need to do:
- For the same period, you'll have observations (data) from the passive sampler (x) and the reference method monitor (y).
- Use this formulae in Part B to calculate the correlation coefficient (r).
A scatter plot shows the relationship between passive sampler and reference method monitor values, which is handy for interpreting your data.
These formulae are to assist users of the fourth chapter in determining whether data acquisition is being properly handled.
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Plans and audits to ensure precise monitoring, aligned with AMD guidelines. Our goal is to make sure you're compliant and accurate.
Here are the last few sections of AMD Chapter 4
To ensure ecological compliance in industrial settings, the Alberta Air Monitoring Directive (AMD) details fluoride analysis, industrial emission monitoring, sampling procedures, and passive sampler accuracy.
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