Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Modeling Water Quality in Watersheds: From Here to the Next Generation

Loading...
Thumbnail Image

Date

Authors

Fu, Baihua
Horsburgh, J. S.
Jakeman, Anthony
Gualtieri, C.
Arnold, Thorsten
Marshall, L.
Green, T. R.
Quinn, N.W.T.
Volk, Martin
Hunt, Randall J.

Journal Title

Journal ISSN

Volume Title

Publisher

American Geophysical Union

Abstract

In this synthesis, we assess present research and anticipate future development needs in modeling water quality in watersheds. We first discuss areas of potential improvement in the representation of freshwater systems pertaining to water quality, including representation of environmental interfaces, in-stream water quality and process interactions, soil health and land management, and (peri-)urban areas. In addition, we provide insights into the contemporary challenges in the practices of watershed water quality modeling, including quality control of monitoring data, model parameterization and calibration, uncertainty management, scale mismatches, and provisioning of modeling tools. Finally, we make three recommendations to provide a path forward for improving watershed water quality modeling science, infrastructure, and practices. These include building stronger collaborations between experimentalists and modelers, bridging gaps between modelers and stakeholders, and cultivating and applying procedural knowledge to better govern and support water quality modeling processes within organizations.

Description

Keywords

Citation

Source

Water Resources Research

Book Title

Entity type

Access Statement

Open Access

License Rights

Creative Commons Attribution licence

Restricted until

Downloads