Data Quality Objective on Ammonia Nitrogen System in Water for Independence Identical Distribution

What is it about?

Ammonia nitrogen (NH3-N) in urban water, is a must-measure item for routine testing. In order to reduce the long-term potential harm impacts to ecosystems and human health, we use the top-down approach to monitor the NH3-N system.

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Why is it important?

We know that the spike recovery and the background effect treatment have been debated, and the actual extraction efficiency (naturally existing matrix matched) cannot be measured as the NH3-N concentration on unstable samples in wastewater fluctuates greatly. We do not spike the matrixes at multiple concentrations, instead, we directly use the parallel samples, within each level consistent differing from each other by up to 5%. To determine whether the residual or pretreated results derived from the NH3-N system is under the independence identical distribution (i.i.d), we recommend using the more robust Anderson Darling (AD) hypothesis test for the i.i.d confirmation. If the AD null hypothesis is held, we can believe that the reliability of NH3-N system is validated, and we can, under the site precision through ASTM top-down approach, incorporate all cumulative effects, from parallel dataset at all levels coupled with the quality control (QC) and small bias, even interaction and matrix, into the data quality objective (DQO) of the NH3-N system.

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