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首页> 外文期刊>Journal of Environmental Engineering >Influent pollutant concentrations as predictors of effluent pollutant concentrations for mid-atlantic bioretention
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Influent pollutant concentrations as predictors of effluent pollutant concentrations for mid-atlantic bioretention

机译:进水污染物浓度作为大西洋中部生物保留废水污染物浓度的预测指标

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摘要

The water quality performance of best management practices (BMPs) has been frequently assessed by the removal efficiency metric. Recent findings show that the removal efficiency metric is flawed because it does not account for background water quality, eco-region differentiation, and background, or irreducible, concentrations. Additionally, the removal efficiency metric inherently assumes a definite association exists between influent and effluent pollutant concentrations. Such a relationship between influent and effluent concentrations has been minimally studied for bioretention, the most common storm-water control measure associated with low-impact development (LID). This study analyzes influent and effluent total nitrogen (TN) and total phosphorous (TP) concentrations from 11 bioretention cells in the mid-Atlantic United States. Pooled data showed only a slight association between influent and effluent TN. Essentially no relationship exists between influent and effluent TP concentration. Both findings indicate that the percent-removal metric is a faulty means of evaluating bioretention performance. Twelve general linear models (GLMs) were created where influent TN and TP were the predictors of respective effluent TN and TP concentrations. Only one GLM was considered to be good, defined as 67-90% of the variation in effluent concentrations being explained by respective influent concentrations (R~2=0.72). In addition, there were two fair models, five poor models, and four very poor models. No very good models were found for TN or TP. Furthermore, as influent nutrient concentration in runoff increases, the removal efficiency increases for TN and TP. Dirtier influent TP concentrations were effectively reduced; conversely, cleaner TP influent concentrations increased, both tending toward a (possibly media-controlled) baseline effluent concentration (0.10 to 0.18 mg/l). TN effluent data also may have been tending toward a common concentration; however, the value was not as discernible.
机译:最佳管理规范(BMP)的水质绩效经常通过清除效率指标进行评估。最近的发现表明,去除效率指标存在缺陷,因为它没有考虑背景水质,生态区域差异以及背景或不可减少的浓度。另外,去除效率度量标准固有地假定进水和出水污染物浓度之间存在明确的关联。对于生物滞留,已对进水和出水浓度之间的这种关系进行了最少的研究,这是与低影响发展(LID)相关的最常见的雨水控制措施。这项研究分析了美国中大西洋地区11个生物保留池的进水和出水总氮(TN)和总磷(TP)浓度。汇总数据显示,进水和出水TN之间只有很小的关联。进水和出水总磷浓度之间基本上没有关系。两项发现均表明,去除率指标是评估生物保留性能的一种错误方法。创建了十二个通用线性模型(GLM),其中进水TN和TP是各自出水TN和TP浓度的预测因子。仅一种GLM被认为是良好的,定义为废水浓度变化的67-90%,可以通过各自的废水浓度来解释(R〜2 = 0.72)。此外,还有两个公平模型,五个不良模型和四个非常不良模型。找不到用于TN或TP的非常好的模型。此外,随着径流中进水养分浓度的增加,TN和TP的去除效率也会提高。降低了更臭的进水总磷浓度;相反,更清洁的TP进水浓度增加,两者都趋向于(可能是介质控制的)基线出水浓度(0.10至0.18 mg / l)。 TN废水数据也可能趋向于相同浓度。但是,其价值并没有那么明显。

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