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

Maryna  Strokal; J. Emiel  Spanier; C. Kroeze; Albert A.  Koelmans; Martina  Flörke; Wietse Franssen; Nynke Hofstra; Simon  Langan; Ting  Tang; Michelle T.H.  van Vliet; Yoshihide Wada; Mengru  Wang; J. van Wijnen; Richard Williams

doi:10.1016/j.cosust.2018.11.004

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

Maryna Strokal, J. Emiel Spanier, C. Kroeze, Albert A. Koelmans, Martina Flörke, Wietse Franssen, Nynke Hofstra, Simon Langan, Ting Tang, Michelle T.H. van Vliet, Yoshihide Wada, Mengru Wang, J. van Wijnen, Richard Williams

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Research output: Contribution to journal › Review article › peer-review

39 Citations (Web of Science)

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.

Original language	English
Pages (from-to)	116-125
Number of pages	10
Journal	Current Opinion in Environmental Sustainability
Volume	36
DOIs	https://doi.org/10.1016/j.cosust.2018.11.004
Publication status	Published - Feb 2019

Keywords

CLIMATE-CHANGE
CRYPTOSPORIDIUM EMISSIONS
DISCHARGE
EMERGING POLLUTANTS
EUTROPHICATION
INDICATORS
INTEGRATED MODEL
PHOSPHORUS
SURFACE-WATER
WASTE-WATER

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Strokal, M., Spanier, J. E., Kroeze, C., Koelmans, A. A., Flörke, M., Franssen, W., Hofstra, N., Langan, S., Tang, T., van Vliet, M. T. H., Wada, Y., Wang, M., van Wijnen, J., & Williams, R. (2019). Global multi-pollutant modelling of water quality: scientific challenges and future directions. Current Opinion in Environmental Sustainability, 36, 116-125. https://doi.org/10.1016/j.cosust.2018.11.004

@article{437515d0e3a04565b5bd4e41bad7ef76,

title = "Global multi-pollutant modelling of water quality: scientific challenges and future directions",

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.",

keywords = "CLIMATE-CHANGE, CRYPTOSPORIDIUM EMISSIONS, DISCHARGE, EMERGING POLLUTANTS, EUTROPHICATION, INDICATORS, INTEGRATED MODEL, PHOSPHORUS, SURFACE-WATER, WASTE-WATER",

author = "Maryna Strokal and Spanier, {J. Emiel} and C. Kroeze and Koelmans, {Albert A.} and Martina Fl{\"o}rke and Wietse Franssen and Nynke Hofstra and Simon Langan and Ting Tang and {van Vliet}, {Michelle T.H.} and Yoshihide Wada and Mengru Wang and {van Wijnen}, J. and Richard Williams",

year = "2019",

month = feb,

doi = "10.1016/j.cosust.2018.11.004",

language = "English",

volume = "36",

pages = "116--125",

journal = "Current Opinion in Environmental Sustainability",

issn = "1877-3435",

publisher = "Elsevier B.V.",

}

Strokal, M, Spanier, JE, Kroeze, C, Koelmans, AA, Flörke, M, Franssen, W, Hofstra, N, Langan, S, Tang, T, van Vliet, MTH, Wada, Y, Wang, M, van Wijnen, J & Williams, R 2019, 'Global multi-pollutant modelling of water quality: scientific challenges and future directions', Current Opinion in Environmental Sustainability, vol. 36, pp. 116-125. https://doi.org/10.1016/j.cosust.2018.11.004

TY - JOUR

T1 - Global multi-pollutant modelling of water quality

T2 - scientific challenges and future directions

AU - Strokal, Maryna

AU - Spanier, J. Emiel

AU - Kroeze, C.

AU - Koelmans, Albert A.

AU - Flörke, Martina

AU - Franssen, Wietse

AU - Hofstra, Nynke

AU - Langan, Simon

AU - Tang, Ting

AU - van Vliet, Michelle T.H.

AU - Wada, Yoshihide

AU - Wang, Mengru

AU - van Wijnen, J.

AU - Williams, Richard

PY - 2019/2

Y1 - 2019/2

N2 - 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.

AB - 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.

KW - CLIMATE-CHANGE

KW - CRYPTOSPORIDIUM EMISSIONS

KW - DISCHARGE

KW - EMERGING POLLUTANTS

KW - EUTROPHICATION

KW - INDICATORS

KW - INTEGRATED MODEL

KW - PHOSPHORUS

KW - SURFACE-WATER

KW - WASTE-WATER

U2 - 10.1016/j.cosust.2018.11.004

DO - 10.1016/j.cosust.2018.11.004

M3 - Review article

SN - 1877-3435

VL - 36

SP - 116

EP - 125

JO - Current Opinion in Environmental Sustainability

JF - Current Opinion in Environmental Sustainability

ER -

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

Abstract

Keywords

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