Statistical Modeling of Contaminants Removal in Mature Integrated Constructed Wetland Sediments

被引:15
作者
Dong, Yu [2 ]
Scholz, Miklas [1 ]
Harrington, Rory [3 ]
机构
[1] Univ Salford, Sch Comp Sci & Engn, Civil Engn Res Ctr, Salford M5 4WT, Lancs, England
[2] Univ Edinburgh, Sch Engn, Inst Infrastruct & Environm, Edinburgh EH9 3JL, Midlothian, Scotland
[3] Crough Farm, Dunhill, County Waterfor, Ireland
关键词
Wetland; Sediment; Mathematical models; Neural networks; Wastewater management; WASTE-WATER; PERFORMANCE; PHOSPHORUS; RETENTION; SALINITY;
D O I
10.1061/(ASCE)EE.1943-7870.0000572
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Multiple regression models, principal component analysis, redundancy analysis, and the self-organizing map (SOM) model were applied to assess the effects of physico-chemical parameters on the treatment performance of contaminated wetland sediments in replicate integrated constructed wetland (ICW) mesocosms treating either farmyard runoff or domestic wastewater. Dissolved oxygen concentration and conductivity were correlated with the reduction of ammonia-nitrogen (NH4-N) and/or molybdate reactive phosphorus (MRP), and the redox potential and conductivity were related to chemical oxygen demand (COD) removal. SOM was selected as the prediction model to provide numerical estimations for the performance of ICW mesocosms. The model was validated, indicating that NH4-N, MRP, and COD removal can be predicted by input variables that are quick and cost-effective to measure. The SOM model is an appropriate method for monitoring the performance of mature ICWs as a source of contaminants such as nitrogen and phosphorus. Although no reduction in the overall performance was observed for ICW Sites 7 and 11, this laboratory-scale study provides valuable warning signs regarding the loss of contaminant removal for ICW systems that have been in operation for a relatively long time. DOI: 10.1061/(ASCE)EE.1943-7870.0000572.(C) 2012 American Society of Civil Engineers.
引用
收藏
页码:1009 / 1017
页数:9
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