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Tang et al., 2018 bridging WQ modeling across scale.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/85642 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/85642 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/85642 archive 353 disk0/00/01/55/73 2018-11-13 09:54:02 2021-08-27 17:31:01 2018-11-13 09:54:02 article show Tang T. 2176 0000-0002-2867-9241 Strokal M. van Vliet M.T.H. Seuntjens P. Burek P. 2091 0000-0001-6390-8487 Kroeze C. Langan S. 2125 0000-0003-0742-3658 Wada Y. 8940 0000-0003-4770-2539 pub prog_wat Global water quality (WQ) modeling is an emerging field. In this article, we identify the missing linkages between global and basin/local-scale WQ models, and discuss the possibilities to fill these gaps. We argue that WQ models need stronger linkages across spatial scales. This would help to identify effective scale-specific WQ management options and contribute to future development of global WQ models. Two directions are proposed to improve the linkages: nested multiscale WQ modeling towards enhanced water management, and development of next-generation global WQ models based-on basin/local-scale mechanistic understanding. We highlight the need for better collaboration among WQ modelers and policy-makers in order to deliver responsive water policies and management strategies across scales. 2019-01 published Elsevier 10.1016/j.cosust.2018.10.004 3086 46 2691 2601 public Current Opinion in Environmental Sustainability 36 39-48 TRUE 1877-3435 Integrated Solutions for Water, Energy, and Land (ISWEL) FALSE no info:eu-repo/semantics/article