Water bloom prediction method based on space-time sequence hybrid model
A prediction method and hybrid model technology, applied in prediction, biological neural network model, data processing application and other directions, can solve the problem of insufficient accuracy of algal bloom prediction, achieve accurate results of algal bloom modeling prediction, increase the number of influencing factors, The effect of high information dimension and information content
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[0139] Example 1:
[0140] Taking the single-point multivariate water quality data collected by a water monitoring station in Jiangsu Province in recent years and the multivariate spatiotemporal meteorological data of three meteorological stations in the water area downloaded from the China Meteorological Data Network as an example, the algal bloom time-space sequence data is taken as an example. A total of 3 years of data from June 2009 to June 2012 were obtained. After filtering the data, interpolation of missing items, and normalization, a total of 1095 sets of spatiotemporal data in 3 years were selected, and water quality and meteorological monitoring were selected. The average value of each observation value on the day is used as a parameter, and the specific index items are shown in Table 1. A total of 775 sets of spatiotemporal data in the first 70% are selected as training data, and a total of 320 sets of spatiotemporal data in the last 30% are selected as test data; ...
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