多因子耦合的近地层风廓线指数修正算法OA

Using wind-measuring lidar wind profiler data and the wind profile exponent(WPE)method,we calculate the WPE within the 50-500 m height range under different surface wind conditions in this study.Then the results are validated using data from 50 meteorological stations with observation heights excee-ding 40 m.The results indicate that the WPE retrieved from wind-measuring lidar has the problem of sys-tematic overestimation,with the error magnitude closely related to the building density and height charac-teristics of the observation area.To address this issue,building density and building average height pa-rameters on a 100 m×100 m grid are introduced to develop a multi-factor-driven dynamic correction algo-rithm for the WPE,which overcomes the limitation of traditional methods that rely solely on a single roughness parameter.After correction,91.7％of the wind force calculation errors are confined within the range of 1 level,with 50.1％showing zero error.On this basis,a three-dimensional high-level wind field reconstruction model tailored for urban complex building environments is further developed.This model has a horizontal resolution of 100 m and vertical coverage from 50 to 500 m,enabling real-time monitoring every 5 min and forecast outputs up to 168 h.The model can provide a low-cost,high-precision wind disaster prevention and control technology pathway for urban high-level operations,having business application po-tential and engineering value.