【摘要】：鑒于u6各個單因素評價得到的評價結果存在一定的矛盾性,從而導致土壤重金屬污染程度存在不確定性的特點,研究中引入了物元理論和可拓集理論,建立了土壤重金屬污染的物元可拓模型.對常規(guī)的污染物濃度超標賦權法進行了修正,引進了Hakanson毒性響應系數,使得評價因子的權重不僅能反映污染物濃度的超標狀況,還與重金屬的毒理性質有關,并將其與傳統(tǒng)的定權方法進行對比,發(fā)現(xiàn)其修正效果顯著,突顯了重金屬的潛在危害程度.以青島市為例進行評價方法實證分析:共采集83個土壤樣品,在對表層土壤中的Cu、Pb、Zn、Cr、Cd、As6種重金屬元素含量進行分析的基礎上,采用修正后的重金屬權重以及物元可拓模型進行評價;評價結果表明青島市土壤重金屬污染等級以清潔一尚清潔為主,極個別采樣點存在輕度或中度污染;模糊數學法評價結果與物元可拓模型的評價結果基本一致,驗證了物元可拓模型應用于土壤重金屬污染評價的可靠性.
[Abstract]:In view of the fact that the evaluation results obtained by U6 single factor evaluation are contradictory to a certain extent, which leads to uncertainty in the degree of heavy metal pollution in soil, matter-element theory and extension set theory are introduced into the study. The matter-element extension model of soil heavy metal pollution was established. In this paper, the conventional weighting method of pollutant concentration exceeding the standard is revised, and the Hakanson toxicity response coefficient is introduced. The weight of the evaluation factor can not only reflect the exceeding standard of pollutant concentration, but also be related to the toxicological properties of heavy metals. By comparing it with the traditional weight determination method, it is found that the correction effect is remarkable, which highlights the potential harm degree of heavy metals. Taking Qingdao as an example, 83 soil samples were collected and the contents of Cu,Pb,Zn,Cr,Cd,As6 heavy metals in surface soil were analyzed. The modified heavy metal weight and matter-element extension model were used to evaluate; The results showed that the grade of soil heavy metal pollution in Qingdao was mainly clean and still clean, and there was slight or moderate pollution in a few sampling sites. The result of fuzzy mathematics method is basically consistent with that of matter-element extension model, which verifies the reliability of the application of matter-element extension model to the assessment of soil heavy metal pollution.
【作者單位】： 中國地質大學(武漢)環(huán)境學院;
【基金】：“十二五”國家科技支撐計劃項目(2012BAJ11B04)
【分類號】：X825

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