scholarly journals Statistical Sensitivity Analysis and Water Quality

2007 ◽  
pp. 211-230 ◽  
Author(s):  
Alessandro Fassò
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis

Developing a Cloud-based Toolbox for Sensitivity Analysis of a Water Quality Model

2021 ◽  
pp. 105068
Author(s):  
Soobin Kim ◽  
Yong Sung Kwon ◽  
JongChel Pyo ◽  
Mayzonee Ligaray ◽  
Joong-Hyuk Min ◽  
...  
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Water Quality Model ◽  
Quality Model

Effective Global Sensitivity Analysis for High-Dimensional Hydrologic and Water Quality Models

2019 ◽  
Vol 24 (1) ◽  
pp. 04018057 ◽  
Author(s):  
Yogesh Khare ◽  
Christopher J. Martinez ◽  
Rafael Muñoz-Carpena ◽  
Adelbert “Del” Bottcher ◽  
Andrew James
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Global Sensitivity Analysis ◽  
High Dimensional ◽  
Quality Models ◽  
Global Sensitivity ◽  
Water Quality Models

scholarly journals A Three-Dimensional Coupled Hydrodynamic-Ecological Modeling to Assess the Planktonic Biomass in a Subalpine Lake

2021 ◽  
Vol 13 (22) ◽  
pp. 12377
Author(s):  
Wen-Cheng Liu ◽  
Hong-Ming Liu ◽  
Rita Sau-Wai Yam
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Ecological Model ◽  
Three Dimensional ◽  
Ecological Status ◽  
Coupled Model ◽  
Zooplankton Biomass ◽  
Subalpine Lake ◽  
Depth Water ◽  
Temperature Water

In this study, a coupled three-dimensional hydrodynamic-ecological model was developed to comprehensively understand the interaction between the hydrodynamics and ecological status of a lake. The coupled model was utilized to explore the hydrodynamics, water quality, and ecological status in an ecologically rich subalpine lake (i.e., Tsuei-Feng Lake (TFL), located in north-central Taiwan). The measured data of water depth, water temperature, water quality, and planktonic biomass were gathered to validate the coupled model. The simulated results with a three-dimensional hydrodynamic and water quality-ecological model reasonably reproduced the variations in observed water depth, water temperature, water quality, and phytoplankton and zooplankton biomass. Sensitivity analysis was implemented to determine the most influential parameter affecting the planktonic biomass. The results of sensitivity analysis indicated that the predation rate on phytoplankton (PRP) significantly affects the phytoplankton biomass, while the basal metabolism rate of zooplankton (BMZ) importantly affects the zooplankton biomass. Furthermore, inflow discharge was the most important environmental factor dominating the phytoplankton and zooplankton biomass of TFL. This implies that the runoff in the catchment area caused by rainfall and the heavy rainfall induced by climate change may affect the planktonic biomass of the lake.

Global Sensitivity Analysis of Environmental, Water Quality, Photoreactivity, and Engineering Design Parameters in Sunlight Inactivation of Viruses

2020 ◽  
Vol 54 (13) ◽  
pp. 8401-8410
Author(s):  
Xinyi Zhang ◽  
Amanda Lardizabal ◽  
Andrea I. Silverman ◽  
Davide Vione ◽  
Tamar Kohn ◽  
...  
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Engineering Design ◽  
Global Sensitivity Analysis ◽  
Environmental Water ◽  
Design Parameters ◽  
Global Sensitivity

Applying global sensitivity analysis to the modelling of flow and water quality in sewers

2013 ◽  
Vol 47 (13) ◽  
pp. 4600-4611 ◽  
Author(s):  
Valentin Gamerith ◽  
Marc B. Neumann ◽  
Dirk Muschalla
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Global Sensitivity Analysis ◽  
Global Sensitivity
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