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不同衬垫材料对垃圾渗滤液中重金属去除效果的预测:利用人工智能技术对实验结果进行建模

Prediction of heavy metal removal by different liner materials from landfill leachate: modeling of experimental results using artificial intelligence technique.

作者信息

Turan Nurdan Gamze, Gümüşel Emine Beril, Ozgonenel Okan

机构信息

Department of Environmental Engineering, Engineering Faculty, Ondokuz Mays University, Kurupelit, 55139 Samsun, Turkey.

出版信息

ScientificWorldJournal. 2013 Jun 10;2013:240158. doi: 10.1155/2013/240158. Print 2013.

DOI:10.1155/2013/240158
PMID:23844384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3691900/
Abstract

An intensive study has been made to see the performance of the different liner materials with bentonite on the removal efficiency of Cu(II) and Zn(II) from industrial leachate. An artificial neural network (ANN) was used to display the significant levels of the analyzed liner materials on the removal efficiency. The statistical analysis proves that the effect of natural zeolite was significant by a cubic spline model with a 99.93% removal efficiency. Optimization of liner materials was achieved by minimizing bentonite mixtures, which were costly, and maximizing Cu(II) and Zn(II) removal efficiency. The removal efficiencies were calculated as 45.07% and 48.19% for Cu(II) and Zn(II), respectively, when only bentonite was used as liner material. However, 60% of natural zeolite with 40% of bentonite combination was found to be the best for Cu(II) removal (95%), and 80% of vermiculite and pumice with 20% of bentonite combination was found to be the best for Zn(II) removal (61.24% and 65.09%). Similarly, 60% of natural zeolite with 40% of bentonite combination was found to be the best for Zn(II) removal (89.19%), and 80% of vermiculite and pumice with 20% of bentonite combination was found to be the best for Zn(II) removal (82.76% and 74.89%).

摘要

已进行了一项深入研究,以考察不同含膨润土的衬里材料对工业渗滤液中铜(II)和锌(II)的去除效率。使用人工神经网络(ANN)来展示所分析的衬里材料对去除效率的显著水平。统计分析证明,通过三次样条模型,天然沸石的效果显著,去除效率达99.93%。通过减少成本高昂的膨润土混合物并最大化铜(II)和锌(II)的去除效率,实现了衬里材料的优化。仅使用膨润土作为衬里材料时,铜(II)和锌(II)的去除效率分别计算为45.07%和48.19%。然而,发现60%的天然沸石与40%的膨润土组合对铜(II)去除效果最佳(95%),80%的蛭石和浮石与20%的膨润土组合对锌(II)去除效果最佳(61.24%和65.09%)。同样,60%的天然沸石与40%的膨润土组合对锌(II)去除效果最佳(89.19%),80%的蛭石和浮石与20%的膨润土组合对锌(II)去除效果最佳(82.76%和74.89%)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a000/3691900/54e81e9ee5bc/TSWJ2013-240158.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a000/3691900/dff6c565c5fe/TSWJ2013-240158.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a000/3691900/35e1c43567fc/TSWJ2013-240158.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a000/3691900/54e81e9ee5bc/TSWJ2013-240158.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a000/3691900/dff6c565c5fe/TSWJ2013-240158.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a000/3691900/35e1c43567fc/TSWJ2013-240158.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a000/3691900/54e81e9ee5bc/TSWJ2013-240158.003.jpg

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