Application of correlative equations to “filling up” the water quality monitoring data for assessment of the quality and self-cleaning capacity of water
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Abstract
In environmental management, continuous water quality monitoring is essential to provide information on the status, distribution, and trends of water quality. However, monitoring work may not be conducted continuously for various reasons, resulting in a lack of data or discontinuity in data sets. The lack of data and the discontinuity of the monitoring data set can result in the heterogeneity or weak representativeness of the analysis/assessment results regarding the level quality or self-cleaning capacity of water. High-order polynomial empirical curve equation (HoCEq) and multivariable regression correlative equation (MREq) are commonly used interpolation/simulation methods because they are integrated in the office analysis tools like Excel or SPSS and give suitable results. In the study, the assessment of water quality and self-cleaning capacity of Nhieu Loc Thi Nghe canal in Ho Chi Minh City, the HoCEq and MREq were applied to “fill up” monitoring data sets for the period 2012 - 2021. This approach helps to increase efficiency in the analysis/assessment and increases the representativeness of research results with an appropriate square correlation coefficient (R2 larger than 0.5) and corresponding degree of close correlation.
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References
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