Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/115306
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- Title
- Simulation of evapotranspiration and vadose zone hydrology using limited soil data : a comparison of four computer models
- Related
- International Conference on Environmental and Computer Science (2nd : 2009) (28 - 30 December 2009 : Dubai)
- Related
- Proceedings of the second International Conference on Environmental and Computer Science : 28-30 December 2009 : Dubai, UAE, p.152-155
- DOI
- 10.1109/ICECS.2009.95
- Publisher
- Los Alamitos, Calif : IEEE
- Date
- 2009
- FoR/RFCD Code(s)
-
060700 Plant Biology
- Author/Creator
- Yunusa, Isa
- Author/Creator
- Whitley, Rhys
- Author/Creator
- Zeppel, Melanie
- Author/Creator
- Eamus, Derek
- Description
- Four ecohydrological models (Mate, SPA, Vadose and WaSim) of differing complexity were compared for their precision in predicting evapotranspiration (ET) and drainage in 2007, when key data needed for quantifying soil parameters were limited. With exception of Mate, the other three predicted annual evapotranspiration within 10% of the measured data; the under-prediction of ET by Mate, which was also the only model not to predict drainage, often resulted in the over-estimation of the amount of water stored in the soil. The other three models all over-predicted drainage, which suggested that our approximations of the soil parameters reduced the water holding capacity, while enhancing the hydraulic conductivity, of the soil. This study demonstrates the significance of precisely quantifying the key soil parameters for the models if other key components, rather than just ET, are of interest. It also shows the potential of these models in providing first approximations of the components of the soil-water balance.
- Description
- 4 page(s)
- Subject Keyword
- 060700 Plant Biology
- Subject Keyword
- drainage
- Subject Keyword
- evapotranspiration
- Subject Keyword
- soil-water
- Subject Keyword
- land management
- Subject Keyword
- soil texture
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Biological Sciences
- Identifier
- http://hdl.handle.net/1959.14/115306
- Identifier
- ISBN:9780769539379
- Identifier
- mq-rm-2009011359
- Language
- eng
- Rights
- Copyright 2009 IEEE. Reprinted from Proceedings of the second International Conference on Environmental and Computer Science : 28-30 December 2009 : Dubai, UAE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
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