Using generalized additive modelling to understand the drivers of long-term nutrient dynamics in the Broadwater estuary (a sub-tropical estuary), Gold Coast, Australia
File version
Author(s)
Chaloupka, Milani
Strauss, Darrell
Tomlinson, Rodger
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
710295 bytes
File type(s)
application/pdf
Location
License
Abstract
Previous Article JCR Online Pre-prints Next Article Add to Favorites Share Article Export Citations | Track Citations Permissions PDF Article Citation: Russell Richards, Milani Chaloupka, Darrell Strauss, and Rodger Tomlinson (2013) Using Generalized Additive Modelling to Understand the Drivers of Long-Term Nutrient Dynamics in the Broadwater Estuary (a Subtropical Estuary), Gold Coast, Australia. Journal of Coastal Research In-Press. doi: http://dx.doi.org/10.2112/JCOASTRES-D-12-00190.1 ONLINE AHEAD OF PRINT Using Generalized Additive Modelling to Understand the Drivers of Long-Term Nutrient Dynamics in the Broadwater Estuary (a Subtropical Estuary), Gold Coast, Australia Russell Richards 欠Milani Chaloupka 笠Darrell Strauss 欠and Rodger Tomlinson 把懲iffith Centre for Coastal Management, Griffith University, Gold Coast, Queensland 4222, Australia, r.richards@griffith.edu.au 煣ological Modelling Services Pty Ltd, P.O. Box 6150, University of Queensland, St Lucia, Queensland 4067, Australia ABSTRACT Richards, R.; Chaloupka, M.; Strauss, D., and Tomlinson, R., 0000. Using generalized additive modelling to understand the drivers of long-term nutrient dynamics in the Broadwater Estuary (a subtropical estuary), Gold Coast, Australia. Conclusions drawn from comparing short-term monitoring data with a baseline data set and water-quality guidelines need to be viewed in the context of numerous physical and biogeochemical mechanisms controlling nutrient concentrations within a system over long timescales. This paper highlights the use of generalized additive models (GAMs) to explore the functional relationships between four commonly used water-quality indicators (total nitrogen, total phosphorous, ammonia, nitrate) and a range of drivers including catchment inflow, wind speed, and tidal current. The results of this GAM assessment highlighted that nutrient concentrations within a subtropical estuary (Broadwater, Australia) is most dependent on catchment inflow. In particular, this assessment indicated the apparent importance of the Nerang River as a determinant of the nutrient concentrations observed in the Broadwater compared with the role of other tributaries, even though these other rivers provide the bulk of the freshwater flow into the system. This assessment also highlighted that the potential effects of monitoring location, tides, wind, and monitoring year need to be accounted for when framing the results of short-term data.
Journal Title
Journal of Coastal Research
Conference Title
Book Title
Edition
Volume
1
Issue
n/a
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© 2013 CERF. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Item Access Status
Note
Access the data
Related item(s)
Subject
Earth sciences
Engineering