基于BP神经网络的垃圾渗滤液输运管道结垢趋势预测  

Pipe scaling prediction based on BP neural network for landfill leachate transport

作　　者：赵锐 赵丽萍 陈静芳 刘婕 李敏 ZHAO Rui;ZHAO Liping;CHEN Jingfang;LIU Jie;LI Min(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China)

机构地区：[1]西南交通大学地球科学与环境工程学院,四川成都611756

出　　处：《中国测试》2022年第7期1-7,共7页China Measurement & Test

基　　金：国家重点研发计划专项(2019YFC1905600);国家自然科学基金项目(41571520);四川省青年科技创新团队资助(2022JDTD0005);四川循环经济研究中心课题(XHJJ-2002,XHJJ-2005);中央高校基本科研业务费专项资金(2682021ZTPY088)。

摘　　要：垃圾渗滤液含有大量复杂的有害成分,在集输过程中极易引起管道结垢,增加处理处置设施运营成本和环境风险。该研究设计将高密度聚乙烯(HDPE)管材浸置于模拟渗滤液中开展结垢实验,通过称重、FTIR、SEM、XRD等表征手段,考察HDPE管材在渗滤液中的结垢特征及垢物组成,以实验数据为基础,利用BP神经网络驱动构建结垢预测模型,分析影响结垢的主要水质因素。结果表明:ρ(Ca^(2+))是影响结垢的关键因素,其次为ρ(腐殖质)、ρ(COD)、pH值、ρ(NaHCO_(3))和ρ(Cl-);垢物的主要成分是CaCO_(3),结垢过程是CaCO_(3)沉淀与腐殖质络合物等共同粘附沉积的结果;所建模型的预测结果与实验结果的平均相对误差为11.7%,具有较好的预测渗滤液集输管道结垢的应用潜力,可为渗滤液集输系统堵塞防治提供决策参考。Leachate contains a large number of complex harmful components,which is easy to cause pipe scaling during the transport process,increasing the cost of disposal facilities and environmental risks.In this study,high-density polyethylene(HDPE)pipe samples were immersed in simulated leachate to carry out a scaling experiment.The scale composition and scaling characteristics in the leachate were investigated through characterizations of weighing,FTIR,SEM,and XRD.Based on the experimental data,the scaling prediction model is constructed by BP neural network method,and the main factors of leachate quality affecting scaling were analyzed.The results show that theρ(Ca^(2+))is the key factor affecting scaling,followed byρ(humus),ρ(COD),pH value,ρ(NaHCO_(3)),andρ(Cl-).The main component of the scale is the CaCO_(3) crystal,and its precipitation adheres to the humus complex to form the scale.The relative error between the scaling prediction results of the model and the experimental results is 11.7%,indicating that it has a good application potential to predict the leachate transportation pipe scaling,and is expected to provide a decision-making tool for the prevention and control of blockage of leachate collection and transportation system.

关 键 词：垃圾渗滤液 结垢 预测 BP神经网络 HDPE管材 

分 类 号：X505[环境科学与工程—环境工程]