A datamining approach to identifying spatial patterns of phosphorus forms in the Stormwater Treatment Areas in the Everglades

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dc.contributor.author Corstanje, Ronald
dc.contributor.author Grafius, Darren R.
dc.contributor.author Zawadzka, Joanna
dc.contributor.author Moreira Barradas, Joao
dc.contributor.author Vince, G.
dc.contributor.author Ivanoff, D.
dc.contributor.author Pietro, K.
dc.date.accessioned 2016-10-24T14:26:40Z
dc.date.available 2016-10-24T14:26:40Z
dc.date.issued 2016-10-18
dc.identifier.citation R. Corstanje, D.R. Grafius, J. Zawadzka, J. Moreira Barradas, G. Vince, D. Ivanoff, K. Pietro, A datamining approach to identifying spatial patterns of phosphorus forms in the Stormwater Treatment Areas in the Everglades, US, Ecological Engineering, Volume 97, Issue December, 2016, pp.567-576 en_UK
dc.identifier.issn 0925-8574
dc.identifier.uri http://dx.doi.org/10.1016/j.ecoleng.2016.10.003
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/10849
dc.description.abstract The Everglades ecosystem in Florida, USA, is naturally phosphorus (P) limited, and faces threats of ecosystem change and associated losses to habitat, biodiversity, and ecosystem function if subjected to high inflows of P and other nutrients. In addition to changes in historic hydropattern, upstream agriculture (sugar cane, vegetable, citrus) and urbanization has placed the Everglades at risk due to nutrient-rich runoff. In response to this threat, the Stormwater Treatment Areas (STAs) were constructed along the northern boundary of the Everglades as engineered ecological systems designed to retain P from water flowing into the Everglades. This research investigated data collected over a period from 2002 to 2014 from the interior of the STAs using data mining and analysis techniques including (a) exploratory methods such as Principal Component Analysis to test for patterns and groupings in the data, and (b) modelling approaches to test for predictive relationships between environmental variables. The purpose of this research was to reveal and compare spatial trends and relationships between environmental variables across the various treatment cells, flow-ways, and STAs. Common spatial patterns and their drivers indicated that the flow-ways do not function along simple linear gradients; instead forming zonal patterns of P distribution that may increasingly align with the predominant flow path over time. Findings also indicate that the primary drivers of the spatial distribution of P in many of these systems relate to soil characteristics. The results suggest that coupled cycles may be a key component of these systems; i.e. the movement and transformation of P is coupled to that of nitrogen (N). en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 3.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject Phosphorus en_UK
dc.subject Data mining en_UK
dc.subject Stormwater treatment areas en_UK
dc.subject Constructed wetland en_UK
dc.subject Everglades en_UK
dc.subject Water quality en_UK
dc.title A datamining approach to identifying spatial patterns of phosphorus forms in the Stormwater Treatment Areas in the Everglades en_UK
dc.type Article en_UK

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