A Water Quality Data Correction Algorithm Based on Improved Wavelet Threshold Denoising Function

The water quality detection of natural water body is limited by working environment and measurement technology. The water quality data inevitably has random errors, which affects research of the natural water body. In order to obtain the water quality data that can accurately reflect the natural water body, this paper presents a water quality data correction algorithm based on improved wavelet threshold denoising function. Based on the theory of wavelet transform and the characteristics of robust estimation function, the algorithm realizes excellent correction of the water quality data with random errors. Through MATLAB simulation comparison and case analysis, the superiority of the improved wavelet threshold denoising function and the feasibility and accuracy of the algorithm are proved respectively. The corrected water quality data is more accurate and more consistent with the real data.