This work presents a simulation for the trajectory of a locust swarm of the species Schistocerca cancellata (Audinet-Serville), between May 22nd and July 29th, 2020, in Argentina. To obtain the directions, temperature, and intensities of the wind, used to determine the daily traveled distance of the insects, the data of weather forecast from Weather Research and Forecasting (WRF) model are used. A statistical analysis shows the effectiveness of the forecast model used in comparison with the real data given by SENASA, which provides latitude and longitude coordinates for the cited period. The results found for the movement of the cloud were satisfactory, they matched with the real data, identifying that temperature and wind speed have a great influence on the movement of locust swarms. The methodology used allows monitoring in real-time their movement, predicting the trajectory and making it possible to plan actions by government control agencies with pesticides in convenient areas.

这项工作模拟了Schistocerca cancellata蝗虫群的轨迹(Audinet-Serville)，2020 年 5 月 22 日至 7 月 29 日，在阿根廷。为了获得风的方向、温度和强度，用于确定昆虫每天的行进距离，使用来自天气研究和预测 (WRF) 模型的天气预报数据。统计分析显示了所使用的预测模型与 SENASA 提供的真实数据相比的有效性，后者提供了引用时期的纬度和经度坐标。云运动的结果是令人满意的，它们与真实数据相匹配，确定温度和风速对蝗群的运动有很大影响。所使用的方法允许实时监控他们的运动，