Eutrophication control decision making using EFDC model for Shenzhen Reservoir, China
- Authors: Tang T.J.1, Yang S.1, Peng Y.1, Yin K.1, Zou R.2
- 
							Affiliations: 
							- Shenzhen Academy of Environmental Science
- Tetra Tech, Inc.
 
- Issue: Vol 44, No 2 (2017)
- Pages: 308-314
- Section: Water Quality and Protection: Environmental Aspects
- URL: https://journals.rcsi.science/0097-8078/article/view/174182
- DOI: https://doi.org/10.1134/S0097807817020142
- ID: 174182
Cite item
Abstract
The three-dimensional hydrodynamic and eutrophication model was implemented based on EFDC to help eutrophication control decision making of Shenzhen Reservoir. Model calibration and validation were conducted with two set of independent observed data in 2009 and 2010–2011. The model represented the hydrodynamic process and the spatial and temporal distribution of water quality well. Subsequently, three eutrophication control scenarios were configured, included removing 100% nutrients from all tributaries, increasing by 50% of water flows, and removing 50% nutrients from Dongjiang. As results shown, the maximum chlorophyll-a concentrations were decreased by 1, 16.4 and 46.3%, the average chlorophyll-a concentrations were decreased by 1.3, 29.8 and 29.9%. Increasing water flows and removing nutrients from Dongjiang can significantly improve water quality and effectively reduce risk of water bloom.
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About the authors
T. J. Tang
Shenzhen Academy of Environmental Science
							Author for correspondence.
							Email: Tangtianjun003@gmail.com
				                					                																			                												                	China, 							Shenzhen, 518001						
S. Yang
Shenzhen Academy of Environmental Science
														Email: Tangtianjun003@gmail.com
				                					                																			                												                	China, 							Shenzhen, 518001						
Y. Peng
Shenzhen Academy of Environmental Science
														Email: Tangtianjun003@gmail.com
				                					                																			                												                	China, 							Shenzhen, 518001						
K. Yin
Shenzhen Academy of Environmental Science
														Email: Tangtianjun003@gmail.com
				                					                																			                												                	China, 							Shenzhen, 518001						
R. Zou
Tetra Tech, Inc.
														Email: Tangtianjun003@gmail.com
				                					                																			                												                	United States, 							10306 Eaton Place, Ste 340, Fairfax, VA, 22030						
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