1. Title, Journal and Authors
Title : Stressor-response modeling using the 2D water quality model and regression trees to predict chlorophyll-a in a reservoir system
Journal : Journal of Hydrology 529 (2015) 805-815
Authors : Yongeun Parka,Yakov A. Pachepskya, Kyung Hwa Chob, Jihwan Parka, Dong Jin Jeonc, Joon Ha Kimc,*
A USDA-ARS, Environmental Microbial and Food Safety Laboratory, 10300 Baltimore 173, BAR--EAST, Beltscille, MD20705, USA
b School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan 689-798, Republic of Korea
c School of Environmental Science and Engineering, Gwangju Institute of Science and Technology (GIST), 261 Cheomdan-gwagiro, Buk-gu
This study used the 2-dimensional hydrodynamic and water quality model(CE-QUAL-W2) and regression trees to predict chlorophyll-a. The hydrodynamic and water quality model was used to predict water quality such as NH4+, NO3-, and PO43- depending on seasonality. And then the authors used the regression tree to determinate the optimal number of leaves and to apply to obtain a stressor-response model for Chl-a concentrations. In most cases of splits that were made based on the NH4+ concentration, Chl-a concentrations was positively related to NH4+ concentration and positively related to water temperature. Additionally, Chl-a sensitivity to air temperature was conducted using regression tree modeling. This study shows there was a significant linear relationship between air temperature changes and Chl-a concentration changes. Overall, this complex stressor-response modeling can be used to longer-term impacts of climate change on water quality variation.
Sora Shin / Ph.D. program
Environmental Systems Engineering Lab.
School of Earth Sciences & Environmental Engineering
Gwangju Institute of Science and Technology
123 Cheomdangwagi-ro, Buk-gu Gwangju, 61005, Korea
Phone : +82-10-8796-0728
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