Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 544713
Title Global multi-pollutant modelling of water quality: scientific challenges and future directions
Author(s) Strokal, M.; Spanier, Emiel; Kroeze, C.; Koelmans, A.A.; Florke, Martina; Franssen, W.H.P.; Hofstra, N.; Langan, Simon; Ting, Tang; Vliet, M.T.H. van; Wada, Yoshihide; Wang, M.; Wijnen, Jikke van; Williams, R.
Source Current Opinion in Environmental Sustainability 36 (2019). - ISSN 1877-3435 - p. 116 - 125.
DOI https://doi.org/10.1016/j.cosust.2018.11.004
Department(s) Water Systems and Global Change
WIMEK
Aquatic Ecology and Water Quality Management
Environmental Systems Analysis
Publication type Refereed Article in a scientific journal
Publication year 2019
Abstract 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.
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