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New seasonal shift in in-stream diurnal nitrate cycles identified by mining high-frequency data

Aubert, Alice H. ; Breuer, Lutz


Originalveröffentlichung: (2016) PLoS ONE 11(4):e0153138 doi: 10.1371/journal.pone.0153138
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URN: urn:nbn:de:hebis:26-opus-123910
URL: http://geb.uni-giessen.de/geb/volltexte/2016/12391/

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Sammlung: Open Access - Publikationsfonds
Universität Justus-Liebig-Universität Gießen
Institut: Institute for Landscape Ecology and Resources Management
Fachgebiet: IFZ Interdisziplinäres Forschungszentrum für Umweltsicherung
DDC-Sachgruppe: Landwirtschaft
Dokumentart: Aufsatz
Sprache: Englisch
Erstellungsjahr: 2016
Publikationsdatum: 15.12.2016
Kurzfassung auf Englisch: The recent development of in-situ monitoring devices, such as UV-spectrometers, makes the study of short-term stream chemistry variation relevant, especially the study of diurnal cycles, which are not yet fully understood. Our study is based on high-frequency data from an agricultural catchment (Studienlandschaft Schwingbachtal, Germany). We propose a novel approach, i.e. the combination of cluster analysis and Linear Discriminant Analysis, to mine from these data nitrate behavior patterns. As a result, we observe a seasonality of nitrate diurnal cycles, that differs from the most common cycle seasonality described in the literature, i.e. pre-dawn peaks in spring. Our cycles appear in summer and the maximum and minimum shift to a later time in late summer/autumn. This is observed both for water- and energy-limited years, thus potentially stressing the role of evapotranspiration. This concluding hypothesis on the role of evapotranspiration on nitrate stream concentration, which was obtained through data mining, broadens the perspective on the diurnal cycling of stream nitrate concentrations.
Lizenz: Lizenz-Logo  Creative Commons - Namensnennung