The invention relates to the technical field of
data processing, in particular to a
river pollution monitoring management method fused with environmental information
perception. According to the method, monitoring points are classified according to information collected in a non-rainfall period, and a plurality of monitoring point clusters are obtained. In the target rainfall period, the rainfall influence degree of the monitoring points is determined by analyzing
pollutant concentration data changes before and after analysis and rainfall information, and then the target monitoring points needing data correction are screened out. A time
correction method is adopted, reference time periods are selected in the non-rainfall time periods, the reference weight of each reference time period is determined by analyzing the
time sequence position of the reference time periods and the rainfall influence degree of the latest rainfall time period, and then time correction is conducted; and further performing space correction by using other monitoring points in the monitoring
point cluster obtained by classification to finally obtain corrected
pollutant concentration data. According to the method, the influence of rainfall on
pollutant concentration data is eliminated, and the data reference is increased while the
data coherence is ensured.