Advancing water quality model intercomparisons under global change: perspectives from the new ISIMIP water quality sector

  • Maryna Strokal*
  • , Rohini Kumar*
  • , Mirjam P Bak
  • , Edward R Jones
  • , Arthur H W Beusen
  • , Martina Flörke
  • , Bruna Grizzetti
  • , Albert Nkwasa
  • , Katrin Schweden
  • , Aslihan Ural-Janssen
  • , Ann van Griensven
  • , Olga Vigiak
  • , Michelle T H van Vliet
  • , Mengru Wang
  • , Inge de Graaf
  • , Hans H Dürr
  • , Simon N Gosling
  • , Nynke Hofstra
  • , Maria Theresa Nakkazi
  • , Issoufou Ouedraogo
  • Robert Reinecke, Vita Strokal, Keerthana Suresh, Ting Tang, Floris S R Teuling, Ammanuel B Tilahun, Tineke A Troost, Dianneke van Wijk, Ilaria Micella
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Water pollution poses widespread risks to ecosystems, human health, and water users more broadly. Furthermore, the interplay of future hydroclimatic changes and socioeconomic developments will strongly impact the quality status of freshwaters across the globe. Innumerable pollutants are increasingly entering water bodies, potentially creating hotspots at various spatial and temporal scales and with implications for different water-dependent sectors. While it is recognized that proactive solutions to protect and improve water quality are key for the achievement of Sustainable Development Goal 6.3 (clean water for all), deficiencies in our understanding of the current and future quality status pose significant challenges. Water quality models help bridge the gaps in our understanding of water quality due to limited observations, but they vary in terms of pollutants, spatial-temporal resolution, and structure. While such diversity poses various challenges, it also presents an opportunity to design a multi-dimensional framework for water quality model intercomparison projects (WQ-MIPs) that focus on three distinct aspects: multi-pollutant, multi-scale, and multi-sector. The water quality sector has been launched within the ISIMIP initiative to help facilitate these multi-dimensional WQ-MIPs. In this paper, we present community insights on WQ-MIPs. We first synthesize the diversity found among water quality models and then propose an ISIMIP intercomparison framework aimed at enhancing our understanding of uncertainties in pollution levels and identifying robust pollution hotspots, sources, and impacts across multiple sectors, pollutants, and scales. To this end, we use four illustrative examples of WQ-MIPs. Finally, we outline a future agenda for advancing WQ-MIPs that are essential for developing effective solutions to preserve future water quality under global change.
Original languageEnglish
Article number035002
JournalEnvironmental Research: Water
Volume1
Issue number3
DOIs
Publication statusPublished - 20 Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

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