区域土壤重金属污染监测方法研究

Monitoring Methods for Heavy Metal Pollution in Regional Soil

针对当前土壤重金属污染监测获取结果均方根误差较高的问题,提出以遥感测绘为基础的土壤重金属污染监测方法研究。依靠遥感卫星获取土壤污染监测区域的遥感测绘影像,再通过动态统计区域合并算法,完成区域土壤监测数据的全方位采集。在完成遥感测绘影像校正处理后,采用多维加速鲁棒特征提取算法,提取影像包含的特征点,并计算反射峰高、吸收深度等光谱特征参数。经过单变量回归分析,得到土壤重金属污染物含量监测结果。应用分析结果表明:应用所提方法,监测结果均方根误差仅为0.06,符合土壤重金属污染监测要求。

Aiming at the problem of high root-mean-square error in the current soil heavy metal pollution monitoring results,a research on soil heavy metal pollution monitoring method based on remote sensing mapping was proposed.The study relies on remote sensing satellites to obtain remote sensing mapping images of soil pollution monitoring areas,and then completes comprehensive collection of regional soil monitoring data through dynamic statistical region merging algorithm.After completing the correction processing of remote sensing mapping images,a multidimensional accelerated robust feature extraction algorithm is used to extract the feature points contained in the image,and calculates spectral characteristic parameters such as reflection peak height and absorption depth.Through univariate regression analysis,the monitoring results of heavy metal pollutant content in soil were obtained.The application analysis results show that using the proposed method,the root mean square error of the monitoring results is only 0.06,which meets the monitoring requirements for heavy metal pollution in soil.