Resilience of groundwater systems in the presence of Bisphenol A under uncertainty
Resilience of groundwater systems in the presence of Bisphenol A under uncertainty
复制标题
存在双酚 A 的不确定性下地下水系统的恢复能力
DOI：
10.1016/j.scitotenv.2020.138363
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发表时间：
2020
影响因子：
9.8
通讯作者：
de Barros, Felipe P.J.
中科院分区：
文献类型：
--
作者：
Im, Jinwoo;Rizzo, Calogero B.;de Barros, Felipe P.J.
评估与地下水系统中新兴污染物相关的健康风险是一个复杂的问题，在间接饮用水再利用应用中受到越来越多的关注。在几种新兴污染物中，我们的研究重点是开发一个数值模型，旨在计算不确定情况下双酚 A (BPA) 在 3D 空间异质含水层中的传输特性。表征 BPA 对人类健康风险的传统方法依赖于与监管剂量限值的单调剂量反应 (MDR) 关系。最近的公共卫生研究表明，BPA 在特定的低剂量范围内会引起内分泌相关的健康影响，这需要考虑非单调剂量反应（NMDR）模型。这项工作研究了在水文地质异质性存在的情况下，不同 BPA DR 模型（即单调与非单调）对含水层抵抗 BPA 污染的恢复能力的影响。对于复原力估计，建立了将风险特征与含水层复原力联系起来的系统随机方法。我们的结果显示了 DR 模型和含水层异质性之间的相互作用对于控制特定环境敏感目标的恢复力损失 RL(d) 的不确定性的重要性。在含水层异质性水平增加的情况下，通过 NMDR 模型比 MDR 模型估计的 R 的不确定性范围更高。此外，RL 受源区体积流量与背景含水层平均流量之比 η(–) 控制。从风险管理的角度来看，需要强调NMDR模型的考虑，因为它对RL的不确定性有影响。一个关键的情况是，污染地点的土地使用表明大量易受影响的人群受到内分泌相关健康影响。在这种情况下，η作为含水层恢复力的指标可以降低RL的不确定性。
Assessing the health risks associated with emerging contaminants in groundwater systems is a complex issue that has been receiving increased attention in indirect potable reuse applications. Among several emerging contaminants, our study focuses on developing a numerical model that aims to compute the transport characteristics of Bisphenol A (BPA) in a 3D spatially heterogeneous aquifer under uncertainty. Traditional approaches that characterize the health risk of BPA to humans rely on the monotonic dose-response (MDR) relationship with a regulatory dose limit. Recent public health studies indicate that BPA can cause endocrine-related health effects in specific low dose ranges, which requires the consideration of the non-monotonic dose-response (NMDR) model. This work investigates the impact of different BPA DR models (i.e., monotonic vs. non-monotonic) on the resilience of the aquifer against BPA contamination in the presence of hydrogeological heterogeneity. For the resilience estimation, a systematic stochastic methodology linking risk characterization to aquifer resilience is established. Our results show the importance of the interplay between the DR models and aquifer heterogeneity on controlling the uncertainty of the resilience lossRL(d) at a specified environmentally sensitive target. In the increased level of aquifer heterogeneity, the uncertainty bounds are higher forRLestimated through the NMDR model as opposed to the MDR model. Moreover,RLis controlled byη(–), the ratio of the volumetric flow rate at the source zone to the average flow rate at the background aquifer. In a risk management perspective, the consideration of the NMDR model needs to be emphasized due to its impact on the uncertainty ofRL. A critical case is when the land use of a contamination site indicates a large number of the vulnerable population to endocrine-related health effects. In this case,ηas an indicator of aquifer resilience can reduce the uncertainty ofRL.