The invention relates to the technical field of
environmental monitoring and water
ecological safety, in particular to a eukaryotic
algae outbreak early warning method and
system based on
genus-level specific recognition. The method comprises the following steps: collecting a
water body sample at a monitoring position according to a preset sampling plan, collecting an environment measurement value, and respectively obtaining environment parameter data, a
water sample sampling identifier and a sampling
timestamp; extracting
nucleic acid from the
water sample at the monitoring position based on the
water sample sampling identifier, performing targeted amplification, and performing high-
throughput sequencing at the same time to obtain eDNA original
sequencing data; therefore, by constructing the eukaryotic
algae outbreak early warning process based on
genus-level specific recognition, the problems that in a traditional method, sampling disturbance is uncontrollable, sequence judgment precision is insufficient, trend recognition is lagged, and an early warning link is not transparent are solved, and the accuracy, stability and
traceability of early judgment of
algae outbreak are improved.