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投稿时间:2021-09-09 修订日期:2021-11-11
投稿时间:2021-09-09 修订日期:2021-11-11
中文摘要: 为直观展示污染物在三维空间分布情况和界定污染土壤方量,可通过构建三维可视化模型来实现。本文基于EVS软件采用三维地层建模方法,以玉溪市某堆渣场为研究对象,对污染物进行三维空间插值分析,对比Kriging、IDWS、IDWM和NN插值模型中汞的污染范围和污染方量的差异,通过交叉验证法来评价模型精度。研究结果表明4种插值模型差异较大,模型精度验证中平均误差(ME)和平均绝对误差(MAE)表现为NN>IDWS>IDWN>Kriging,均方根误差(RMSE)表现.为NN>IDWS>Kriging>IDWM,Kriging插值模型的插值精度最高。汞污染集中分布于堆渣层中,Kriging插值模型计算污染土方量为36787.968m3。本研究成果在今后的土壤修复工作中具有广阔应用前景。
Abstract:In order to visually display the three dimensional spatial distribution of pollutants and define the volume polluted contaminated soil, a THREE-DIMENSIONAL visualization model can be built to achieve this goal. Based on EVS software, this paper adopts three-dimensional formation modeling method and takes a slag dump Yuxi city as the research object to carry out three-dimensional spatial interpolation analysis of pollutants. The mercury pollution range and volume in Kriging, IDWS, IDWM and NN interpolation models were compared, and the model accuracy was evaluated by cross-validation method. The results show that the mean error (ME) and mean absolute error (MAE) of the four interpolation models are NN> IDWS> IDWN>Kriging, root mean square error (RMSE) is NN>IDWS>Kriging>IDWM and Kriging interpolation models have the highest interpolation accuracy. Mercury pollution was concentrated in the slag layer, and the Kriging interpolation model calculated that the contaminated volume of soil was 36787.968 m3. The results of this study have broad application prospects in soil remediation in the future.
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基金项目:国家自然科学基金项目(迪庆州现代冰川湖沉积物微生物种群结构与气候变化关系研究)
引用文本:
肖丽珍,张兵,徐世光.基于EVS的汞污染物空间分布模拟研究[J].有色金属工程,2022,(5):.
肖丽珍,张兵,徐世光.基于EVS的汞污染物空间分布模拟研究[J].有色金属工程,2022,(5):.