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土壤污染调查加密布点优化方法构建及验证路径探析

Construction and Verification Path Analysis of the Optimized Method for Densified Distribution of Soil Pollution Survey
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摘要 常规的监测与布点法估算土壤污染物的平均浓度具有很高的准确率,而对污染区域的估算精度无法达到要求,本文在此基础上,对土壤污染区域的分布进行了详细的研究。通过一个含镉污染的现场实例,对布点优化的效果进行了分析。研究结果显示,采用加密布点技术对污染区面积和污染区域的空间位置具有明显的改善作用。实例现场土壤镉污染区的面积和污染区的空间位置精度分别为4.10%和86.10%。与传统的调查方法相比,采用最优的布点方式可以有效地减少土壤污染的调查样本需求量。 Conventional monitoring and point distribution methods have high accuracy in estimating the average concentration of soil pollutants,but the accuracy of the estimation of contaminated areas can not meet the requirements.On this basis,the distribution of soil contaminated areas has been studied in detail.Through a field example of cadmium pollution,the effect of site layout optimization is analyzed.The research results show that the area and the spatial location of the polluted area can be significantly improved by using the densified distribution technology.The accuracy of the area and spatial location of the cadmium contaminated area in the soil of the example site is 4.10% and 86.10% respectively.Compared with traditional survey methods,the optimal distribution method can effectively reduce the demand for survey samples of soil pollution.
作者 柴忠朝 Chai Zhongchao(Shaanxi Tongyuan Environmental Testing Co.,Ltd.,Xi'an Shaanxi 710082)
出处 《山西化工》 2023年第2期170-172,共3页 Shanxi Chemical Industry
关键词 土壤污染调查 加密布点优化 验证路径 soil pollution survey optimization of encryption distribution verified path
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