View : 550 Download: 326
A Bayesian hierarchical approach to model seasonal algal variability along an upstream to downstream river gradient
- A Bayesian hierarchical approach to model seasonal algal variability along an upstream to downstream river gradient
- Cha, YoonKyung; Park, Seok Soon; Lee, Hye Won; Stow, Craig A.
- Ewha Authors
- 박석순; 이혜원
- SCOPUS Author ID
- 박석순; 이혜원
- Issue Date
- Journal Title
- WATER RESOURCES RESEARCH
- WATER RESOURCES RESEARCH vol. 52, no. 1, pp. 348 - 357
- AMER GEOPHYSICAL UNION
- SCI; SCIE; SCOPUS
- Document Type
Show the fulltext
- Modeling to accurately predict river phytoplankton distribution and abundance is important in water quality and resource management. Nevertheless, the complex nature of eutrophication processes in highly connected river systems makes the task challenging. To model dynamics of river phytoplankton, represented by chlorophyll a (Chl a) concentration, we propose a Bayesian hierarchical model that explicitly accommodates seasonality and upstream-downstream spatial gradient in the structure. The utility of our model is demonstrated with an application to the Nakdong River (South Korea), which is a eutrophic, intensively regulated river, but functions as an irreplaceable water source for more than 13 million people. Chl a is modeled with two manageable factors, river flow, and total phosphorus (TP) concentration. Our model results highlight the importance of taking seasonal and spatial context into account when describing flow regimes and phosphorus delivery in rivers. A contrasting positive Chl a-flow relationship across stations versus negative Chl a-flow slopes that arose when Chl a was modeled on a station-month basis is an illustration of Simpson's paradox, which necessitates modeling Chl a-flow relationships decomposed into seasonal and spatial components. Similar Chl a-TP slopes among stations and months suggest that, with the flow effect removed, positive TP effects on Chl a are uniform regardless of the season and station in the river. Our model prediction successfully captured the shift in the spatial and monthly patterns of Chl a.
- Appears in Collections:
- 엘텍공과대학 > 환경공학전공 > Journal papers
- Files in This Item:
A Bayesian hierarchical approach to model seasonal algal variability along an upstream to downstream river gradient.pdf(2.31 MB)
- RIS (EndNote)
- XLS (Excel)
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.