Modeling total phosphorus removal in an aquatic environment restoring   horizontal subsurface flow constructed wetland based on artificial   neural networks

doi:10.1007/s11356-015-4527-2

CORC > 北京大学 > 环境科学与工程学院

	Modeling total phosphorus removal in an aquatic environment restoring horizontal subsurface flow constructed wetland based on artificial neural networks
	Li, Wei ; Zhang, Yan ; Cui, Lijuan ; Zhang, Manyin ; Wang, Yifei
刊名	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
	2015
关键词	Aquatic environment restoration Horizontal subsurface constructed wetland Total phosphorus Artificial neural networks Model WASTE-WATER ANN MODEL SIMULATION PERFORMANCE PREDICTION EFFICIENCY ALGORITHM FORECAST EFFLUENT SEWAGE
DOI	10.1007/s11356-015-4527-2
英文摘要	A horizontal subsurface flow constructed wetland (HSSF-CW) was designed to improve the water quality of an artificial lake in Beijing Wildlife Rescue and Rehabilitation Center, Beijing, China. Artificial neural networks (ANNs), including multilayer perceptron (MLP) and radial basis function (RBF), were used to model the removal of total phosphorus (TP). Four variables were selected as the input parameters based on the principal component analysis: the influent TP concentration, water temperature, flow rate, and porosity. In order to improve model accuracy, alternative ANNs were developed by incorporating meteorological variables, including precipitation, air humidity, evapotranspiration, solar heat flux, and barometric pressure. A genetic algorithm and cross-validation were used to find the optimal network architectures for the ANNs. Comparison of the observed data and the model predictions indicated that, with careful variable selection, ANNs appeared to be an efficient and robust tool for predicting TP removal in the HSSF-CW. Comparison of the accuracy and efficiency of MLP and RBF for predicting TP removal showed that the RBF with additional meteorological variables produced the most accurate results, indicating a high potentiality for modeling TP removal in the HSSF-CW.; National Nonprofit Institute Research Grant of the Chinese Academy of Forestry entitled "Dynamic mechanisms of phosphorus removal in subsurface constructed wetlands" [CAFINT2013C13]; Fundamental Research Funds for the Central Non-profit Research Institution of CAF "N removal mechanism of subsurface constructed wetland in health wetland" [CAFYBB2014QA029]; SCI(E); ARTICLE; lkyclj@126.com; 16; 12362-12369; 22
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/417797]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Li, Wei,Zhang, Yan,Cui, Lijuan,et al. Modeling total phosphorus removal in an aquatic environment restoring horizontal subsurface flow constructed wetland based on artificial neural networks[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2015.
APA	Li, Wei,Zhang, Yan,Cui, Lijuan,Zhang, Manyin,&Wang, Yifei.(2015).Modeling total phosphorus removal in an aquatic environment restoring horizontal subsurface flow constructed wetland based on artificial neural networks.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
MLA	Li, Wei,et al."Modeling total phosphorus removal in an aquatic environment restoring horizontal subsurface flow constructed wetland based on artificial neural networks".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2015).