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神经网络预测沸石及改性沸石的原位修复

Exploring development of in-situ repairing natural mineral agents based on neural networks
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摘要 原位治理与修复技术有成本低、效果好以及不破坏原有水体底部生态平衡等优点.针对黑臭水体处理能源成本消耗大,开发低成本的沸石原位修复工艺优化具有现实意义.基于Matlab采用人工神经网络以沸石为研究对象,以实验所得128组实验数据作为样本集,建立在以温度、投加量、pH、氨氮质量浓度、磷酸盐质量浓度为神经网络底层,以处理后的氨氮质量浓度、磷酸盐质量浓度作为神经网络底层的吸附模型,预测在不同的pH、温度、投加量的情况下,沸石对氨氮和磷酸盐的去除效果和模型输出的预测结果与实验结果规律一致.预测结果显示,沸石投加量从1 g/L增加至10 g/L的情况下,沸石投加量对氨氮没有显著影响,对磷酸盐去除效果有帮助;温度从0℃增加至30℃的情况下,沸石对氨氮和磷酸盐吸附效率越高;沸石在pH=8时,对氨氮吸附效率达到最高,沸石对磷酸盐在pH=3吸附效率最高,随后去除效果降低再升高,pH=10时达到峰值,随后吸附效率降低.验证了沸石能有效地净化水体. With practical significance,low-cost zeolite was developed in in-situ repair process optimization for the treatment of black and odorous water.In-situ treatment and restoration technology had the advantages of low cost,good effect,and did not damage the ecological balance of the original bottom of the water body.Based on Matlab using artificial neural network to take zeolite as the research object,128 sets of experimental data that were obtained from the experiment as the sample set which based on the temperature,dosage,pH,ammonia nitrogen concentration,phosphate concentration as the neural network bottom layer,and the processed ammonia nitrogen concentration and phosphate concentration were used as the adsorption model of the bottom layer of the neural network to predict the removal effect of zeolite on ammonia nitrogen and phosphate at different pH,temperature and dosage.The predicted results of the model output were consistent with the experimental results.The prediction results showed three points.Firstly,when the dosage of zeolite was increased from 1 g/L to 10 g/L,the dosage of zeolite had no significant effect on ammonia nitrogen and was helpful for the removal of phosphate.Secondly,when the temperature increased from 0℃to 30℃,the adsorption efficiency of zeolite for ammonia nitrogen and phosphate was higher.Finally,zeolite had the highest adsorption efficiency for ammonia nitrogen at pH=8 as well as the highest adsorption efficiency of zeolite for phosphate at pH=3,subsequently,the removal effect was raising after reducing,which reached the peak at pH=10,and then the adsorption efficiency decreased.the effectiveness of zeolite for water purification was verified.
作者 左金龙 黄宗毅 宋雨薇 常诗颖 颜梦洁 尹楚淇 ZUO Jin-long;HUANG Zong-yi;SONG Yu-wei;CHANG Shi-ying;YAN Meng-jie;YIN Chu-qi(Department of Environmental Engineering,Harbin University of Commerce,Harbin 150028,China)
出处 《哈尔滨商业大学学报(自然科学版)》 CAS 2021年第6期660-665,共6页 Journal of Harbin University of Commerce:Natural Sciences Edition
基金 哈尔滨商业大学大学生创新创业项目(202010240094).
关键词 原位修复 沸石 神经网络 模拟仿真 黑臭水体 in-situ repair zeolite neural networks simulation black and odorous water
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