This invention discloses a transmission
trajectory method based on flow field smoothness. The method acquires
wind field grid data of the target area, uses
Gaussian smoothing to filter out high-
frequency noise while preserving macroscopic flow characteristics, and improves the
signal-to-
noise ratio. Then, neighboring points are selected centered on the
initial point, and a comprehensive weight is calculated using the inverse power of spatial distance and
cosine similarity, thus doubly constraining the spatial proximity and
wind direction consistency of neighboring points. The trajectory point position is dynamically predicted based on the weighted average
wind speed vector of neighboring points, and spline interpolation is used to force the trajectory to be continuous and differentiable, eliminating abrupt changes at
discrete points and generating a smooth and coherent transmission path. This method, through flow field
smoothing, weight
coupling, and dynamic iteration mechanisms, significantly improves the physical rationality and anti-interference capability of trajectory
simulation, and is particularly suitable for the accurate prediction of large-scale cross-regional
pollutant transport, providing reliable
technical support for regional joint prevention and control and
pollution control.