Bridging global, basin and local-scale water quality modeling towards enhancing water quality management worldwide

Tang, T. ORCID: https://orcid.org/0000-0002-2867-9241, Strokal, M., van Vliet, M.T.H., Seuntjens, P., Burek, P. ORCID: https://orcid.org/0000-0001-6390-8487, Kroeze, C., Langan, S. ORCID: https://orcid.org/0000-0003-0742-3658, & Wada, Y. ORCID: https://orcid.org/0000-0003-4770-2539 (2019). Bridging global, basin and local-scale water quality modeling towards enhancing water quality management worldwide. Current Opinion in Environmental Sustainability 36 39-48. 10.1016/j.cosust.2018.10.004.

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Abstract

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.

Item Type:	Article
Research Programs:	Water (WAT)
Depositing User:	Luke Kirwan
Date Deposited:	13 Nov 2018 09:54
Last Modified:	27 Aug 2021 17:31
URI:	https://pure.iiasa.ac.at/15573

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