基于无人机的大气污染物变步长溯源算法研究Research on air pollutant variable step tracing algorithm based on UAV
谢丽华,丁涛
摘要(Abstract)：
目的:研究如何快速、精确定位大气污染源的位置。方法:以无人机作为大气环境移动监测平台,提出了变步长Z字形-浓度梯度大气污染物溯源算法,利用Fluent和Matlab件对大气污染物的扩散进行模拟计算,构建多种用于测试溯源算法的浓度场。结果:变步长Z字形-浓度梯度算法在仿真实验和实际测试环境下成功定位到污染源。结论:变步长Z字形-浓度梯度算法在烟羽发现过程中不仅全局搜索能力更高,而且在烟羽跟踪过程中局部搜索能力更细化,定位误差更小。
关键词(KeyWords)： 无人机;大气污染源;定位;变步长溯源算法
基金项目(Foundation): 浙江省自然科学基金项目(No.LGF20E080014)
作者(Author): 谢丽华,丁涛
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