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Global multi-pollutant modelling of water quality: scientific challenges and future directions

Strokal, Maryna; Spanier, J. Emiel; Kroeze, Carolien; Koelmans, Albert A.; Flörke, Martina; Franssen, Wietse; Hofstra, Nynke; Langan, Simon; Tang, Ting; van Vliet, Michelle T.H.; Wada, Yoshihide; Wang, Mengru; van Wijnen, Jikke; Williams, Richard. 2019 Global multi-pollutant modelling of water quality: scientific challenges and future directions [in special issue: Global water quality] Current Opinion in Environmental Sustainability, 36. 116-125. https://doi.org/10.1016/j.cosust.2018.11.004

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Abstract/Summary

Assessing global water quality issues requires a multi-pollutant modelling approach. We discuss scientific challenges and future directions for such modeling. Multi-pollutant river models need to integrate information on sources of pollutants such as plastic debris, nutrients, chemicals, pathogens, their effects and possible solutions. In this paper, we first explain what we consider multi-pollutant modelling. Second, we discuss scientific challenges in multi-pollutant modelling relating to consistent model inputs, modelling approaches and model evaluation. Next, we illustrate the potential of global multi-pollutant modelling for hotspot analyses. We show hotspots of river pollution with microplastics, nutrients, triclosan and Cryptosporidium in many sub-basins of Europe, North America and South Asia. Finally, we reflect on future directions for multi-pollutant modelling, and for linking model results to policy-making.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1016/j.cosust.2018.11.004
CEH Sections/Science Areas: Pollution (Science Area 2017-)
ISSN: 1877-3435
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
NORA Subject Terms: Ecology and Environment
Date made live: 18 Dec 2018 11:06 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/521782

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