Stressor–response modeling using the 2D water quality model and regression trees to predict chlorophyll-a in a reservoir system

•A reservoir model was used to predict water quality using four-year observations.•Regression tree modeling was applied to investigate stressor–response dependencies.•Responses of chlorophyll-a to stressors were well-pronounced in the tree results.•Regression trees provided a transparent visual repr...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) 2015-10, Vol.529, p.805-815
Hauptverfasser:	Park, Yongeun, Pachepsky, Yakov A., Cho, Kyung Hwa, Jeon, Dong Jin, Kim, Joon Ha
Format:	Artikel
Sprache:	eng
Schlagworte:	Algae Chlorophyll-a Computer simulation Machine learning Mathematical models Regression analysis Representations Reservoirs Stress concentration Stressor–response Temperature sensitivity Water quality
Online-Zugang:	Volltext
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