Prediction of groundwater pollution diffusion path based on multi-source data fusion

Prediction of groundwater pollution diffusion path based on multi-source data fusion

Blog Article

In order to improve the prediction accuracy apple mtxn2ll/a of groundwater pollution diffusion path, this paper combines multivariate data fusion technology to predict and analyze the groundwater pollution diffusion path.Under the special two-strategy swarm game model of water pollution particle swarm, this paper introduces replication dynamics with bounded continuous time-delay.Moreover, considering the dynamic behavior in both cases of constant kernel function and exponential kernel function, the hawk-dove game model is a special case of the model we are discussing.In addition, this paper proposes a method combining leaching surface and flux concentration, and applies numerical simulation method to simulate and fr5299 analyze transient leakage monitoring of similar point and line source pollution in planar two-dimensional heterogeneous aquifers.

The experimental study verifies that the multivariate data fusion proposed in this paper can play an important role in the prediction of groundwater pollution diffusion path.