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Soil Heavy Metal Pollution and Bioavailability in Baoshantao Mining Area, China
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作者 CAO Yuhong LU Chenhao 《Journal of Resources and Ecology》 CSCD 2024年第4期909-917,共9页
In areas with a high geological background of heavy metals,some edible plants could pose a serious threat to human health.In order to find effective methods to remove heavy metals or reduce their harm,this study inves... In areas with a high geological background of heavy metals,some edible plants could pose a serious threat to human health.In order to find effective methods to remove heavy metals or reduce their harm,this study investigated the enrichment conditions of five soil heavy metals,Cd,Pb,Cu,Zn and Cr,in four edible plants in a mining area,Baoshantao,in eastern China that has a high geological background of metals,and two groups of experiments were designed to investigate the effects of passivators on their enrichment.The results showed that the soil heavy metal content in the study area has a certain degree of spatial variability.The five heavy metal element contaminants in the soil are in the order of Cd>Cu>Zn>Pb>Cr.The enrichment coefficients and the transfer coefficients of different edible plants were different for the different heavy metals.The two groups of passivators showed better passivating effects with an increase in passivating agent dosage.The smaller the enrichment coefficient of water spinach,the lower the bioavailability.The results of this study can provide a scientific basis for the restoration of soil heavy metal pollution and the safe use of land in areas with a high geological background of heavy metals. 展开更多
关键词 edible plant enrichment coefficient transfer coefficient fertilizer passivator spatial distribution of heavy metals
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数学建模最优化理论探讨
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作者 方建卫 《咸宁学院学报》 2011年第9期167-168,共2页
结合2011年"高教杯"全国大学生数学建模竞赛题目A,分析了数学建模的理论思想,提出了数学建模的本质特点实际就是一种最优化的思想。并且通过该比赛题目探讨了用最优化的理论求解数学模型的方法。
关键词 数学建模 最优化理论 重金属污染空间分布 单因素模型 模糊神经网络
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