🔧На сайте запланированы технические работы
25.12.2025 в промежутке с 18:00 до 21:00 по Московскому времени (GMT+3) на сайте будут проводиться плановые технические работы. Возможны перебои с доступом к сайту. Приносим извинения за временные неудобства. Благодарим за понимание!
🔧Site maintenance is scheduled.
Scheduled maintenance will be performed on the site from 6:00 PM to 9:00 PM Moscow time (GMT+3) on December 25, 2025. Site access may be interrupted. We apologize for the inconvenience. Thank you for your understanding!

 

Eutrophication control decision making using EFDC model for Shenzhen Reservoir, China


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

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.

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

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2017 Pleiades Publishing, Ltd.