How can you address bias in water quality monitoring?
Water quality monitoring is essential for environmental engineering, but it can also be affected by various types of bias. Bias can distort the accuracy, reliability, and representativeness of the data collected and analyzed, leading to erroneous conclusions and decisions. In this article, you will learn how to identify and address some common sources of bias in water quality monitoring, and how to improve your sampling design and data analysis methods.