Evaluation of stormwater micropollutant source control and end-of-pipe control strategies using an uncertainty-calibrated integrated dynamic simulation model.

Evaluation of stormwater micropollutant source control and end-of-pipe control strategies using an uncertainty-calibrated integrated dynamic simulation model.
复制标题

DOI:
10.1016/j.jenvman.2014.12.013
复制
发表时间:
2015-03
影响因子:
8.7
通讯作者:
L. Vezzaro;A. Sharma;A. Ledin;P. Mikkelsen
L. Vezzaro;A. Sharma;A. Ledin;P. Mikkelsen
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
L. Vezzaro;A. Sharma;A. Ledin;P. Mikkelsen

文献摘要

被引文献

相似文献

在制定减少雨水微污染物向自然水域排放的策略时,估算雨水系统中微污染物(MP)通量是一个基本前提。动态综合模型可以是这一步的重要工具,因为它们可以用来综合监测活动提供的有限数据,并根据模型模拟结果评估不同战略的绩效。这项研究提供了一个例子,比较了六种不同的控制策略,包括源头控制和管道末端处理。比较的重点是重金属(铜、锌)和有机化合物(荧菲)的通量。利用一个综合的动态模型结合雨水水质测量来估算MP的通量。利用地理信息系统土地利用数据识别MP源,利用概念性堆积/冲刷模型模拟径流水质,基于MP固有特性的动态处理模型模拟雨水滞留池。结果的不确定度用伪贝叶斯方法估计。尽管径流质量模型估计的MP通量存在很大的不确定性,但从排放MP通量、符合水质标准和泥沙积累的角度对这六种方案进行比较是可能的。污染源控制策略在减少MP排放方面取得了较好的效果,但所有模拟策略都未能满足基于排放限值的标准。这项研究的结果表明,MP污染控制策略的效率可以通过结合先进的建模工具(集成的雨水水质模型、不确定性校准)来量化。
The estimation of micropollutant (MP) fluxes in stormwater systems is a fundamental prerequisite when preparing strategies to reduce stormwater MP discharges to natural waters. Dynamic integrated models can be important tools in this step, as they can be used to integrate the limited data provided by monitoring campaigns and to evaluate the performance of different strategies based on model simulation results. This study presents an example where six different control strategies, including both source-control and end-of-pipe treatment, were compared. The comparison focused on fluxes of heavy metals (copper, zinc) and organic compounds (fluoranthene). MP fluxes were estimated by using an integrated dynamic model, in combination with stormwater quality measurements. MP sources were identified by using GIS land usage data, runoff quality was simulated by using a conceptual accumulation/washoff model, and a stormwater retention pond was simulated by using a dynamic treatment model based on MP inherent properties. Uncertainty in the results was estimated with a pseudo-Bayesian method. Despite the great uncertainty in the MP fluxes estimated by the runoff quality model, it was possible to compare the six scenarios in terms of discharged MP fluxes, compliance with water quality criteria, and sediment accumulation. Source-control strategies obtained better results in terms of reduction of MP emissions, but all the simulated strategies failed in fulfilling the criteria based on emission limit values. The results presented in this study shows how the efficiency of MP pollution control strategies can be quantified by combining advanced modeling tools (integrated stormwater quality model, uncertainty calibration).