An integrated human health risk assessment framework for alkylphenols due to drinking water and crops' food consumption

The increasing overexploitation and pollution of fresh water resources are potential threats for public health, causing cross-contamination among the interconnected environmental compartments (freshwater, soil, crops). In particular, contaminants of emerging concern (CECs) originating from anthropic activities are not completely removed by wastewater treatments plants. This leads to their presence in drinking water (DW) sources, soil and crops intended for human consumption due to discharges of treated wastewater in surface waters and direct wastewater reuse practices. Currently, health risk assessments are limited to single exposure sources without considering the multiple exposure routes to which humans are subjected. For instance, among CECs, bisphenol A (BPA) and nonylphenol (NP), respectively, adversely affect immune and renal systems and have been frequently detected in DW and food, their major exposure sources for humans. Here, an integrated procedure is proposed to quantitatively assess health risk from CECs due to multiple exposure from the consumption of both DW and food, considering the relevant inter-connected environmental compartments. This procedure was applied to BPA and NP to calculate their probabilistic Benchmark Quotient (BQ), showing its potential in quantitatively apportioning the risk between contaminants and exposure sources, and its use as a decision support tool for prioritizing mitigation measures. Our results indicate that, even though the human health risk due to NP is not negligible, the estimated risk due to BPA is significantly higher, and the consumption of food from edible crops determines a higher risk compared to tap water. Hence, BPA is undoubtedly a contaminant to be prioritized, especially through mitigation actions aimed at its prevention and removal from food

An integrated human health risk assessment framework for alkylphenols due to drinking water and edible crop consumption

INTRODUCTION The scarcity of clean freshwater is becoming a major issue for present and future generations, especially in densely urbanised areas. This situation promotes the potential cross-contamination of different environmental compartments by contaminants of emerging concern (CECs) which, in fact, have already been detected worldwide in surface water, groundwater and soils. In particular, the CECs released by wastewater treatment plants (WWTPs) can end up both in the recipient surface water and groundwater, both of which are used as drinking water (DW) sources. Furthermore, if those water sources and reclaimed wastewater are used for irrigation, CECs can be directly absorbed by crops intended for human consumption or accumulate in soil and translocate to crops over time. Hence, both DW and edible crops are critical CEC exposure pathways for humans, the combined effect of which requires further investigation. This work is aimed at developing an integrated framework for a quantitative chemical risk assessment due to CECs in complex multiple-use scenarios, combining DW and edible crop consumption, as a decision-making support tool for optimising solutions to minimise risks and social costs. METHODOLOGY The developed procedure includes several steps. Firstly, the analysed system boundaries are defined, to evaluate all the phenomena affecting the fate of CECs from source to end user. Then, CEC migration (e.g. diffusion in surface water, infiltration in soil, uptake by food crops) and human exposure (via water and edible crop consumption) are modelled in an integrated framework as a function of boundary conditions, CECs and by-products characteristics, and proposed interventions. Exposure models are calibrated through literature data, field monitoring and lab tests where, for instance, the CECs’ fate and uptake by vegetables from contaminated soils have been investigated. In the hazard assessment step, a toxicological characterisation was performed to obtain single CEC adverse effect potencies, aimed at applying the Relative Potency Factors methodology for combining CECs that affect the same endpoint. Lastly, exposure and hazard assessment steps are combined to quantitatively estimate the risk to human health from a mixture of CECs, which includes uncertainty analyses to account for knowledge gaps and to provide decision-makers with the confidence level of the risk estimation. RESULTS The developed quantitative risk assessment procedure has been applied to a case study on the mixture of two alkylphenols, i.e. bisphenol-A (BPA) and nonylphenol (NP), used as reference CECs. Literature and field-monitoring data were used to feed the model, with an estimate of BPA and NP concentration in DW up to 0.1 and 0.35 μg/L, respectively, as a function of different system boundary conditions. As for their uptake in edible crops, lab tests with contaminated soil (BPA=75 μg/kg and NP=10 mg/kg, according to the range reported in literature for soil irrigated with reclaimed wastewater or amended with biosolids) demonstrated a significant transfer of NP from soil to vegetables, with concentrations of up to 230 μg/kg fresh weight (f.w.) in the edible parts. No BPA (<8 μg/kg f.w.) was found in vegetables, unlike its metabolite para-hydroxybenzoic acid (up to 56 μg/kg f.w). Those results highlight that both DW and edible crop consumption exposure pathways are critical for the risk to human health due to BPA, NP and their by-products. Several interventions in WWTPs or in DW treatment plants and distribution networks were simulated, demonstrating promising cumulative risk reduction. DISCUSSION Integrated modelling of the fate of CEC mixtures in complex multiple-use water systems, combined with quantitative risk assessment, has proven to be an effective tool to identify the main causes of risk for humans and to assign the various CEC source contributions. Lab tests proved to be useful to investigate the fate of CECs, including metabolites, in the soil system and potential transfer to food crops, corroborating the information from literature and monitoring data for model calibration. Integrated modelling also made it possible to explore several intervention strategies to be adopted at different points of the water system, identifying those that achieve the minimum overall mixture risk. Moreover, in addition to CEC toxicological characterisation, this procedure allows decision-makers to prioritise CECs to be regulated not only based on their exposure levels but looking at their contribution to the overall mixture risk. Lastly, uncertainty analysis made it possible to properly consider the availability and quality of CEC data, especially as regards their physical-chemical behaviour and toxicity, thereby providing the degree of confidence for the estimated risk, which is a key factor for taking informed decisions concerning CEC

Automated mapping from goal models to self-adaptive systems

Abstract Self-adaptive systems should autonomously adapt at run time to changes in their operational environment, guided by the goals assigned by their stakeholders. We present a tool that supports goal-oriented modelling and generation of code for goal-directed, selfadaptive systems, supporting Tropos4AS, an extension of the software engineering methodology Tropos

Feasibility assessment of reclaimed wastewater reuse in agriculture: how we do it

The growing interest towards wastewater (WW) reuse as alternative irrigation source is raised by the worldwide concern on water shortages and enhanced by the new European Directive on water reuse minimum requirements. In this perspective, water utilities and decision makers would benefit from a methodology to evaluate and encourage safe and efficient agricultural WW reuse practices. In this work, we propose a novel approach to identify criteria for assessing and prioritizing WW treatment plants (WWTPs) suitability for WW reuse practices implementation. The developed methodology, coupling WWTPs’ characteristics (i.e., flowrate and effluent quality) and features of the local territory (i.e., cultivated crops and climate), is able to quantify the economic savings, in terms of water and nutrients, and avoided environmental impacts, that could be fulfilled from WW reuse, and which WWTPs and territories to prioritize in its implementation

A Quantitative Chemicals' Mixture Risk Assessment Approach For Contaminants Of Emerging Concern Management In Drinking Water

Uncertainties on occurrence and hazard of mixtures of Contaminants of Emerging Concern (CECs) in drinking water (DW) challenge water utilities and decision makers in prioritizing these compounds in, respectively, interventions for the optimization of DW treatment and DW regulations. Continuous development of quantitative risk assessment procedures addressing adverse effects of CECs supports decision-making regarding mitigation actions in minimizing health risks. We propose a novel, quantitative chemical risk assessment (QCRA) approach for mixtures of CECs in DW. The risks are evaluated with the aid of the benchmark quotient probabilistic distribution and including uncertainties in both (i) exposure assessment using occurrence data of different DW sources and simulating DW treatment by granular activated carbon and (ii) hazard assessment steps. The QCRA was applied to compare risks deriving from the presence of alkylphenols mixtures in tap or bottled DW, and to evaluate how actual DW consumption habits affect health risks

Evaluating organizational configurations

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Debris Flow Network Morphology and a New Erosion Rate Proxy for Steepland Basins with Application to the Oregon Coast Range and Cascadia Subduction Zone

Reaches dominated by debris flow scour and incision tend to greatly influence landscape form in steepland basins. Debris flow networks, despite their ubiquity, have not been exploited to develop erosion rate proxies. To bridge this gap, I applied a proposed empirical function that describes the variation of valley slope with drainage area in fluvial and debris flow reaches of steepland channel networks in the Oregon Coast Range. I calibrated a relationship between profile concavity and erosion rate to map spatial patterns of long-term uplift rates assuming steady state. I also estimated the magnitude and inland extent of coseismic subsidence in my study area. My estimates agree with field measurements in the same area along the Cascadia margin, indicating that debris flow valley profiles can be used to make interpretations from spatial patterns of rock uplift that may better constrain physical models of crustal deformation. This thesis includes unpublished co-authored material