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Strokal et al.,2019 COSUST Multi-pollutant modelling_Final.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/86085 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/86085 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/86085 archive 353 disk0/00/01/56/69 2019-01-08 09:52:27 2021-08-27 17:31:15 2019-01-08 09:52:27 article show Strokal M. Spanier J. Kroeze C. Koelmans A. Flörke M. Franssen W. Hofstra N. Langan S. 2125 0000-0003-0742-3658 Tang T. 2176 0000-0002-2867-9241 van Vliet M. Wada Y. 8940 0000-0003-4770-2539 Wang M. van Wijnen J. Williams R. pub prog_wat 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. 2019-02 published Elsevier 10.1016/j.cosust.2018.11.004 2691 3086 2601 public Current Opinion in Environmental Sustainability 36 116-125 TRUE 1877-3435 FALSE no info:eu-repo/semantics/article