The invention provides a
watershed pollution traceability prediction method and device based on
artificial intelligence, and relates to the technical field of
water environment information processing. The method comprises the following steps: carrying out cross correlation calculation on
water quality monitoring indexes, taking a correlation map between the
water quality indexes as input basic data, and delaying the correlation between the indexes to the correlation between
point source pollution through an association rule
algorithm; finally, mining potential laws of the
water quality related atlas in time by using an LSTM
algorithm, and realizing accurate prediction of
point source pollution. The method aims to predict a main control industry
point source causing water quality change,
point source pollution, water
quality monitoring data and an industry pollution
knowledge base are used as data sets, a core
algorithm in an intelligent voice technology is innovatively introduced into the environment field, algorithms such as cross correlation, association rules and a long-
short term memory network are adopted, the
artificial intelligence technology is used for identifying main
point source pollution influencing future water quality changes.