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The Application of Gift Value Algorithm and Stable Source Diffusion Fitting Algorithm in the Soil Pollution

机译:礼物价值算法和稳定源扩散拟合算法在土壤污染中的应用

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This article gives weight to the study of the environmental pollution degree caused by heavy metal and the finding of the pollution source position. First of all, we rank the pollution degree by the geo-accumulation index, regard it as the assessment set, establish fuzzy relation matrix, and get the comprehensive evaluation results in order to get the pollution degree in different functional areas of a city. Secondly, on the fundation of the study on pollution source, we apply Kriging interpolation to interpolate the space, get the concerntrations in various heavy metal via the simulation which uses the stable source diffusion equation. Then, we fit the pollution degree that is caused by the assumption pollution source and the actual pollution source, and compare the fitting result to find the coordinate point that is most close to the practical pollution source. In the practical experiment, we adopt the heavy metal sample datas of one city to do the calculation. The outcome can properly reflect the contamination of the city and show the pollution source location.
机译:本文重量对由重金属引起的环境污染程度和污染源位置的发现。首先,我们通过地铁累积指数排列污染程度,将其视为评估集,建立模糊关系矩阵,并获得综合评价结果,以便在城市的不同功能地区获得污染程度。其次,在研究污染源研究的资金上,我们将Kriging插值应用于插值空间,通过使用稳定源扩散方程的模拟来获得各种重金属中的各种重金属的歧视。然后,我们符合假设污染源和实际污染源引起的污染程度,并比较拟合结果以找到最接近实际污染源的坐标点。在实际实验中,我们采用一个城市的重金属样品数据进行计算。结果可以正确反映城市的污染并显示污染源位置。

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