基于测绘无人机的土壤有机污染远程检测技术研究  

Remote Detection Technology of Soil Organic Pollution Based on Mapping UAV

作　　者：陈静[1] 王卫民 Chen Jing;Wang Weimin(China Geo University,Wuhan 430074,China;Hebei Normal University,Shijiazhuang 050000,China)

机构地区：[1]中国地质大学,湖北武汉430074 [2]河北师范大学,河北石家庄050000

出　　处：《环境科学与管理》2023年第10期127-132,共6页Environmental Science and Management

摘　　要：由于污染防治策略的制定需要建立在污染种类、含量已知的前提下,故提出基于测绘无人机的土壤有机污染远程检测技术研究。搭建土壤有机污染远程检测框架;采用测绘无人机搭载XRF光谱分析仪采集土壤光谱数据;通过小波变换算法与惩罚最小二乘算法提取土壤光谱数据特征,识别待检测土壤中含有的有机污染物质并计算其含量,实现土壤有机污染的远程检测。实验数据显示:应用所提技术后,有机污染物质识别错误比例最小值为0.56%,三氯乙醛含量检测结果与实际检测结果误差为0%,充分证实了所提技术具备更好的应用性能。Since the formulation of pollution control strategy needs to be based on the premise of known pollution types and contents,this study proposed remote detection technology of soil organic pollution based on surveying and mapping UAV.It established the remote detection framework of soil organic pollution.The soil spectral data were collected by the mapping UAV equipped with XRF spectral analyzer.Wavelet transform algorithm and penalty least squares algorithm were used to extract the characteristics of soil spectral data to identify and calculate the organic pollutants in the soil.The remote detection of soil organic pollution is realized.The experimental data show that after the application of the proposed technology,the minimum error ratio of organic pollution substance identification is 0.56%,and the error between the detection result and the actual detection result is 0%,which confirms that the proposed technology has better application performance.

关 键 词：XRF光谱分析仪 土壤环境 污染远程检测 测绘无人机 有机污染物 

分 类 号：X833[环境科学与工程—环境工程]