A pragmatic parameterisation and calibration approach to model hydrology and water quality of agricultural landscapes and catchments
Article
Article Title | A pragmatic parameterisation and calibration approach to model hydrology and water quality of agricultural landscapes and catchments |
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ERA Journal ID | 4673 |
Article Category | Article |
Authors | Ghahramani, Afshin (Author), Freebairn, David M. (Author), Sena, Dipaka R. (Author), Cutajar, Justin L. (Author) and Silburn, David M. (Author) |
Journal Title | Environmental Modelling and Software |
Journal Citation | 130 |
Article Number | 104733 |
Number of Pages | 20 |
Year | 2020 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 1364-8152 |
1873-6726 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.envsoft.2020.104733 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S136481521831096X |
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. |
Keywords | Great Barrier Reef; hydrological modelling; water quality; HowLeaky; nitrogen; phosphorous; pesticides; PEST; calibration; uncertainty; sensititvity |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 370704. Surface water hydrology |
300207. Agricultural systems analysis and modelling | |
410605. Soil physics | |
410699. Soil sciences not elsewhere classified | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Centre for Sustainable Agricultural Systems |
Centre for Agricultural Engineering | |
Indian Agricultural Research Institute, India | |
Hydrobiology, Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5v27/a-pragmatic-parameterisation-and-calibration-approach-to-model-hydrology-and-water-quality-of-agricultural-landscapes-and-catchments
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