A pragmatic parameterisation and calibration approach to model hydrology and water quality of agricultural landscapes and catchments

Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Freebairn, David M. and Sena, Dipaka R. and Cutajar, Justin L. and Silburn, David M. (2020) A pragmatic parameterisation and calibration approach to model hydrology and water quality of agricultural landscapes and catchments. Environmental Modelling and Software, 130:104733. ISSN 1364-8152

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Abstract

Australian and Queensland Government's Reef 2050 Water Quality Improvement Plan has set targets for improving the water quality entering the Great Barrier Reef lagoon. Given the large public investment and the deficit of data linking on-farm land management to changes in environmental outcomes, there is a need for a robust and efficient methods of quantifying links between land management and water quality. This paper explores a pragmatic approach to making this link using available data. We demonstrate that a simple parameterisation process is suitable for estimating hydrology and water quality across a wide range of land uses and management practices in agricultural landscapes. However, a manually calibrated model may still require the analysis of parameters to reduce error variances and evaluate uncertainties. Confidence in estimating hydrology and water quality in descending order is: runoff, sediment, nitrogen, phosphorous, and pesticide losses, reflecting the availability of data and inherent error propagation.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version embargoed until 1 Sept 2021 (12 months), in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Sustainable Agricultural Systems (1 Aug 2018 -)
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Agricultural Engineering (1 Aug 2018 -)
Date Deposited: 18 May 2020 05:49
Last Modified: 03 Jun 2020 05:21
Uncontrolled Keywords: Great Barrier Reef; hydrological modelling; water quality; HowLeaky; nitrogen; phosphorous; pesticides; PEST; calibration; uncertainty; sensititvity
Fields of Research : 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040608 Surfacewater Hydrology
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070105 Agricultural Systems Analysis and Modelling
05 Environmental Sciences > 0503 Soil Sciences > 050305 Soil Physics
05 Environmental Sciences > 0503 Soil Sciences > 050399 Soil Sciences not elsewhere classified
Socio-Economic Objective: D Environment > 96 Environment > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified
Identification Number or DOI: 10.1016/j.envsoft.2020.104733
URI: http://eprints.usq.edu.au/id/eprint/38611

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