HydroFATE (v1): a high-resolution contaminant fate model for the global river system
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Published:2024-04-16
Issue:7
Volume:17
Page:2877-2899
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Ehalt Macedo HeloisaORCID, Lehner BernhardORCID, Nicell Jim, Grill Günther
Abstract
Abstract. Pharmaceuticals and household chemicals are neither fully consumed nor fully metabolized when routinely used by humans, thereby resulting in the emission of residues down household drains and into wastewater collection systems. Since treatment systems cannot entirely remove these substances from wastewaters, the contaminants from many households connected to sewer systems are continually released into surface waters. Furthermore, diffuse contributions of wastewaters from populations that are not connected to treatment systems can directly (i.e., through surface runoff) or indirectly (i.e., through soils and groundwater) contribute to contaminant concentrations in rivers and lakes. The unplanned and unmonitored release of such contaminants can pose important risks to aquatic ecosystems and ultimately human health. In this work, the contaminant fate model HydroFATE is presented, which is designed to estimate the surface-water concentrations of domestically used substances for virtually any river in the world. The emission of compounds is calculated based on per capita consumption rates and population density. A global database of wastewater treatment plants is used to separate the effluent pathways from populations into treated and untreated and to incorporate the contaminant pathways into the river network. The transport in the river system is simulated while accounting for processes of environmental decay in streams and in lakes. To serve as a preliminary performance evaluation and proof of concept of the model, the antibiotic sulfamethoxazole (SMX) was chosen, due to its widespread use and the availability of input and validation data. The comparison of modelled concentrations against a compilation of reported SMX measurements in surface waters revealed reasonable results despite inherent model uncertainties. A total of 409 000 km of rivers were predicted to have SMX concentrations that exceed environmental risk thresholds. Given the high spatial resolution of predictions, HydroFATE is particularly useful as a screening tool to identify areas of potentially elevated contaminant exposure and to guide where local monitoring and mitigation strategies should be prioritized.
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Copernicus GmbH
Reference73 articles.
1. Aldekoa, J., Medici, C., Osorio, V., Pérez, S., Marcé, R., Barceló, D., and Francés, F.: Modelling the emerging pollutant diclofenac with the GREAT-ER model: Application to the Llobregat River Basin, J. Hazard. Mater., 263, 207–213, https://doi.org/10.1016/j.jhazmat.2013.08.057, 2013. 2. Aldekoa, J., Marcé, R., and Francés, F.: Fate and Degradation of Emerging Contaminants in Rivers: Review of Existing Models, in: Emerging Contaminants in River Ecosystems: Occurrence and Effects Under Multiple Stress Conditions, edited by: Petrovic, M., Sabater, S., Elosegi, A., and Barceló, D., Springer International Publishing, Cham, 159–193, https://doi.org/10.1007/698_2015_5017, 2016. 3. Anderson, P. D., D'Aco, V. J., Shanahan, P., Chapra, S. C., Buzby, M. E., Cunningham, V. L., DuPlessie, B. M., Hayes, E. P., Mastrocco, F. J., Parke, N. J., Rader, J. C., Samuelian, J. H., and Schwab, B. W.: Screening Analysis of Human Pharmaceutical Compounds in U.S. Surface Waters, Environ. Sci. Technol., 38, 838–849, https://doi.org/10.1021/es034430b, 2004. 4. Archundia, D., Boithias, L., Duwig, C., Morel, M. C., Flores Aviles, G., and Martins, J. M. F.: Environmental fate and ecotoxicological risk of the antibiotic sulfamethoxazole across the Katari catchment (Bolivian Altiplano): Application of the GREAT-ER model, Sci. Total Environ., 622–623, 1046–1055, https://doi.org/10.1016/j.scitotenv.2017.12.026, 2018. 5. Aydin, S., Aydin, M. E., Ulvi, A., and Kilic, H.: Antibiotics in hospital effluents: occurrence, contribution to urban wastewater, removal in a wastewater treatment plant, and environmental risk assessment, Environ. Sci. Pollut. Res., 26, 544–558, https://doi.org/10.1007/s11356-018-3563-0, 2019.
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