Quantitative prediction method for pollution degree of offshore water body based on pollution indicating flora

• Main Authors: XIONG JINBO, XUAN LIXIA, QIU QIONGFEN
• Format: Patent
• Language: Chinese; English
• Published: 08.10.2019
• Subjects: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

The invention belongs to the technical field of quantitative prediction of a water pollution degree and discloses a quantitative prediction method for the pollution degree of an offshore water body based on pollution indicating flora. Physical and chemical index data of the water body in a research area are acquired, a water quality comprehensive pollution index OPI is calculated, high-throughputsequencing is combined to obtain the microbial community composition information in different sea area water body samples, a random forest algorithm is used to select pollution indicating flora for indicating a pollution state, and with the relative abundance of each microorganism in the pollution indicating flora combination and the weight thereof as independent variables, the water body pollution degree is quantitatively predicted. A water quality pollution state quantitative determination model based on the random forest algorithm is established and obtained, the water quality deteriorationseverity is simply and qu