Trong công tác quản lý môi trường, quan trắc chất lượng nước được thực hiện liên tục nhằm cung cấp thông tin về hiện trạng chất lượng nước, phân bố và xu hướng diễn ra. Bài viết trình bày ứng dụng phương trình tương quan "lấp đầy" dữ liệu quan trắc chất lượng nước phục vụ đánh giá chất lượng và khả năng tự làm sạch của nước. | Trường Đại học Nông Lâm TP. Hồ Chí Minh 41 Application of correlative equations to filling up the water quality monitoring data for assessment of the quality and self-cleaning capacity of water Hung V. Bui1 amp Diep N. Nguyen2 1 Faculty of Environment University of Science Vietnam National University Ho Chi Minh City Vietnam 2 University of Labour and Social Affairs Campus II Ho Chi Minh City Vietnam ARTICLE INFO ABSTRACT Research Paper In environmental management continuous water quality monitoring is essential to provide information on the status distribution and Received August 24 2022 trends of water quality. However monitoring work may not be Revised December 05 2022 conducted continuously for various reasons resulting in a lack of data Accepted February 15 2023 or discontinuity in data sets. The lack of data and the discontinuity of the monitoring data set can result in the heterogeneity or weak Keywords representativeness of the analysis assessment results regarding the level quality or self-cleaning capacity of water. High-order polynomial Highest order polynomial empir- empirical curve equation HoCEq and multivariable regression correl- ical curve equation HoCEq ative equation MREq are commonly used interpolation simulation methods because they are integrated in the office analysis tools like Nhieu Loc Thi Nghe canal Excel or SPSS and give suitable results. In the study the assessment Self-cleaning capacity of water quality and self-cleaning capacity of Nhieu Loc Thi Nghe The multivariable regressive cor- canal in Ho Chi Minh City the HoCEq and MREq were applied to fill relative equation MREq up monitoring data sets for the period 2012 - 2021. This approach Water quality helps to increase efficiency in the analysis assessment and increases the representativeness of research results with an appropriate square Corresponding author correlation coefficient R2 larger than and corresponding degree of close correlation. Bui Viet Hung Email .
