Developing a flow control strategy to reduce nutrient load in a reclaimed multi-reservoir system using a 2D hydrodynamic and water quality model-Reference-Cited by-同舟云学术

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Developing a flow control strategy to reduce nutrient load in a reclaimed multi-reservoir system using a 2D hydrodynamic and water quality model

Published:2014-01 Issue: Volume:466-467 Page:871-880
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Park Yongeun,Cho Kyung Hwa,Kang Joo-Hyon,Lee Seung Won,Kim Joon Ha

Funder

Basic Science Research Program

National Research Foundation (NRF) of Korea

Ministry of Education, Science and Technology

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference63 articles.

1. Reservoir eutrophication modeling, sensitivity analysis, and assessment: application to Karkheh Reservoir, Iran;Afshar;Environ Eng Sci,2009

2. Pollutant dispersion mechanism near Mokpo Harbor due to the discharge from Youngsan River Seadike;An,2007

3. Eutrophication model for Lake Washington (USA) part I. Model description and sensitivity analysis;Arhonditsis;Ecol Model,2005

4. An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling;Bagirov;Math Comput Model,2013

5. A chemometric survey of three sites in Muggia Bay (Northern Adriatic Sea): meteorological effects on heavy metal patterns in surface coastal waters;Barbieri;Fresenius J Anal Chem,1998

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