The present invention relates to the field of
plant screening technology, and specifically to a method for screening desert
windbreak and
erosion-resistant plants for use in
photovoltaic arrays, comprising the following steps: screening candidate
plant species based on their resistance to sand and dust, drought, and
salinity, generating a first candidate
plant list; utilizing a multispectral
laser scattering sensor to collect sand and dust characteristics, including
kinetic energy intensity; combining computational fluid dynamics
simulation technology to reconstruct the dynamic
diffusion path of wind and sand flow in the target photovoltaic array area; evaluating the sand reduction effect of each candidate
plant species in the first candidate plant
list around the photovoltaic array, and generating a second candidate plant
list after screening, which is the final selected plant. The present invention achieves comprehensive quantification and scientific optimization of the screening process by comprehensively calculating a comprehensive
score through quantitative indicators such as
wind speed attenuation rate, sand and dust
deposition rate, and planting cost, thereby avoiding the problems of strong subjectivity and lack of quantitative basis in traditional screening.