Method and device for predicting section water quality parameter data

Abstract

The invention provides a method for predicting section water quality parameter data, comprising the following steps: acquiring first information of a first monitoring station in real time; acquiring second information of a water gathering area formed by a plurality of first monitoring stations according to the first information; acquiring third information of the section in real time; calculatinga first correlation coefficient of each water quality parameter, a second correlation coefficient of each water quality parameter and each rain-shine parameter and a third correlation coefficient of each water quality parameter and each hydrological parameter according to the second information and the third information in a preset duration; fitting the first correlation coefficient, the second correlation coefficient and the third correlation coefficient according to a preset first model, determining parameters in which a positive correlation, a negative correlation and a non-correlation exist; and if in the third information of the current section, a target parameter is missing, determining a parameter which is non-correlated with the target parameter; and according to the parameter non-correlated with the target parameter and a preset second model, determining the numerical value of the target parameter. Therefore, the robustness of the prediction result is improved.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and device for predicting section water quality parameter data. Background technique [0002] Under the current situation, quantitative and qualitative understanding of the water quality in the region has significant practical significance for formulating a reasonable regional water quality optimization plan, improving the quality and efficiency of water quality control, and effectively controlling water pollution. According to the "Surface Water Environmental Quality Standards" (GB 3838-88) document issued by the State Environmental Protection Administration, the grades of various water quality parameters are an important indicator to reflect whether the water quality is polluted or not. However, when the water quality monitoring station fails, a large amount of data is missing, which will cause great trouble to the subsequent analysis and supervision of water quality pol...

AI Technical Summary

Problems solved by technology

However, when the water quality monitoring station fails, a large amount of data is missing, which will cause great trouble for subsequent water pollution analysis and supervision. We need an efficient and accurate method to fill in the missing data

[0003] Among the existing methods, it is relatively simple to directly use the mean, mode, and median to fill in. Although these methods are fast, they are too different from the actual data and are not suitable for use

Or use interpolation or time series models to infer missing data, but these methods are too simple and not robust

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