The present invention discloses a
carbon sink statistical method and
system based on monitoring and evaluating the
carbon sink potential of laver cultivation, comprising: real-time collection of environmental parameter data by a multi-parameter
sensor array deployed in the cultivation area; construction of a
carbon flux assessment model based on the laver cultivation
biomass;
simulation of the migration and transformation process of carbon elements in the "
algae-water-
sediment"
system through a three-dimensional carbon transfer
path tracing algorithm to obtain a three-dimensional
carbon flux dynamic matrix; construction of a
carbon sink spatiotemporal
distribution model, and correction of the carbon sink spatiotemporal distribution based on the
environmental data of the laver cultivation area; extraction of carbon element accumulation curves in different time dimensions, and construction of a carbon sink
potential assessment function based on the laver
growth cycle; establishment of a hierarchical judgment
system, construction of three-level carbon sink capacity grades and their corresponding environmental parameter threshold combinations. The advantages of the present invention are: accurate assessment of the
carbon storage potential of the laver cultivation area through real-time
environmental data collection,
carbon flux assessment, three-dimensional path
simulation and spatiotemporal distribution correction.