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Water 2018, 10(2), 153; https://doi.org/10.3390/w10020153

Global Sensitivity Analysis of a Water Quality Model in the Three Gorges Reservoir

1
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
2
School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056002, China
3
Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
*
Author to whom correspondence should be addressed.
Received: 6 December 2017 / Revised: 29 January 2018 / Accepted: 31 January 2018 / Published: 5 February 2018
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Abstract

Global sensitivity analysis is the key to establishing advanced and complex water quality models and measurements of ecological parameters. In this paper, the Sobol’s sensitivity analysis method was applied to a quantitative analysis of the important factors governing a water quality model, which has been developed to simulate algal dynamics in Caotang Bay, one of the tributary bays in the Three Gorges Reservoir, China. The analysis focused on the response of chlorophyll-a and dissolved oxygen to 11 parameters. The results show that chlorophyll-a is influenced mainly by the maximum phytoplankton growth rate, the lower optimum temperature for algal growth, the phosphate half-saturation constant, and the phytoplankton linear mortality rate; while dissolved oxygen is influenced mainly by the maximum phytoplankton growth rate, the lower optimum temperature for algal growth, the phytoplankton basal respiration rate, and the detritus remineralization rate. These parameter sensitivities change with time and have a marked seasonal pattern. The parameter sensitivity differences between a shallow lake or reservoir and a deep reservoir suggest that mechanisms of cycling in nutrients and dissolved oxygen are different. View Full-Text
Keywords: global sensitivity analysis; water quality model; chlorophyll-a; dissolved oxygen; deep-water embayment; Three Gorges Reservoir global sensitivity analysis; water quality model; chlorophyll-a; dissolved oxygen; deep-water embayment; Three Gorges Reservoir
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Cheng, Y.; Li, Y.; Ji, F.; Wang, Y. Global Sensitivity Analysis of a Water Quality Model in the Three Gorges Reservoir. Water 2018, 10, 153.

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