The present application relates to the field of farmland
nutrient analysis, and particularly relates to a carbon-
nitrogen labeled coupled analysis farmland
ecosystem nutrient migration quantification method, which comprises the following steps: obtaining carbon-
nitrogen concentration
time series by collecting and preprocessing carbon-
nitrogen isotope monitoring data; obtaining trajectory evolution optimization factors by performing two-dimensional collaborative trajectory evolution analysis on the carbon-nitrogen concentration
time series; obtaining jump
distortion optimization factors by performing real migration flux jump
distortion feature analysis on the carbon-nitrogen concentration
time series; obtaining
nutrient migration mode division results by jointly modifying the trajectory evolution optimization factors and the jump
distortion optimization factors on the basis of time series distance; and obtaining carbon-nitrogen nutrient migration evaluation results by performing quantification analysis on the nutrient migration mode division results, so as to solve the problem of migration mode division distortion caused by the forced alignment of secondary fluctuation misalignment and the
confusion of deep
background noise artifacts in the carbon-nitrogen
isotope time series clustering of the farmland
ecosystem by the existing multi-dimensional
dynamic time warping algorithm.