Assessing floating treatment wetlands nutrient removal performance through a first order kinetics model and statistical inference

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• 作者：Chih-Yu Wang ; David J. Sample
• 关键词：C ; control group ; CI ; confidence interval ; CM ; control with mat group ; CSTR ; continuously stirred tank reactor ; FTW ; floating treatment wetland ; G ; general FTW apparent uptake velocity (combining data from P and PM group) ; i-FTW ; integrated floating treatment wetland ; P ; plants only treatment ; PFR ; plug flow reactor ; PM ; plants with floating mats treatment ; RE ; removal efficiency ; RR ; removal rate ; SD ; standard deviation ; SSE ; sum of squared errors ; TN ; total nitrogen ; TP ; total phosphorus
• 刊名：Ecological Engineering
• 出版年：December, 2013
• 年：2013
• 卷：61
• 期：part_PA
• 页码：292-302
• 全文大小：881 K

文摘

A floating treatment wetland (FTW) is an ecological approach which seeks to reduce point and nonpoint source pollution in receiving waters. This technology has received increasing attention recently. Subsequent studies were conducted at worldwide locations; despite these efforts, reliable estimates of the FTW performance remains a significant research gap. This paper describes the development of a robust and simplified integrated FTW (i-FTW) model that includes uncertainty. The performance of FTWs was separated from other treatment processes ongoing within their respective water bodies. This approach facilitates generalization of the model and allowing parameters to adjust to each applied water body characteristic. A bootstrap method was incorporated to estimate uncertainty and generate more robust predictions of performance.

Water concentration time series data were described by a first order kinetics i-FTW model that generates an FTW performance parameter: FTW apparent uptake velocity (v_f). A comprehensive literature search of i-FTW studies was conducted to collect total phosphorus (TP) and total nitrogen (TN) concentrations data. The v_f values were calculated from these studies and estimated using a bootstrap percentile method. The best estimation of median and expected range with 95% confidence interval of the v_f were 0.048 (0.018-0.059) and 0.027 (0.016-0.040) m/day for TP and TN, respectively. The goodness of fit (R²) of the i-FTW model on water concentration time series data of the i-FTW experiments was 0.92 卤 0.30 for TP and 0.86 卤 0.38 for TN data (mean 卤 SD). This model provides insights into compartmental treatments of i-FTW systems and serves as a preliminary tool to select extent of FTW coverage when designing an i-FTW system. Further research to resolve limitations of model application is suggested.