A two-stage correction method for automatic river water quality monitoring data that eliminates systematic errors through correlation analysis and random errors through time-segmented interpolation.

Patentradars sammanfattning

This patent presents a collaborative correction methodology for improving the representativeness of automatic river water quality station data by addressing both systematic and random errors. The method combines correlation analysis between single-point automatic measurements and full cross-section manual sampling to establish conversion models, then applies time-segmented interpolation to correct temporal synchronization errors. The approach specifically targets the cross-sectional representativeness problem inherent in bank-side automatic monitoring stations while maintaining data timeliness.

AI-genererad och redaktionellt processad.