Method for predicting chlorophyll a concentration in water based on BP nerval net
A BP neural network and concentration prediction technology, applied in the direction of testing water, general water supply saving, instruments, etc., to achieve the effect of improving prediction quality, reducing materials and reducing quantity
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[0018] The method for predicting the concentration of chlorophyll a in water based on the BP neural network of the present invention will be described in detail below in conjunction with the embodiments.
[0019] Chlorophyll a concentration prediction method in water body based on BP neural network of the present invention, comprises the steps:
[0020] (1) Obtain the value of chlorophyll a in the measured water body and other related water quality indicators that affect it as the detection data.
[0021] Obtaining other water qualities that have an impact on chlorophyll a in the embodiments of the present invention is to take a water sample every three days at 9 monitoring points of Jinhe and Weijinhe, monitor continuously for 14 times, and measure ammonia nitrogen (NH 3 -N), total nitrogen (TN), total phosphorus (TP), orthophosphate (DRP), permanganate index (COD Mn ), temperature (T), dissolved oxygen (DO), pH, suspended solids (SS), five-day biochemical oxygen demand (BOD...
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