scholarly journals Sensitivity analysis of constituent generation parameters of an integrated hydrological and water quality model using a GMDH polynomial neural network

2017 ◽  
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Sensitivity Analysis ◽  
Water Quality Model ◽  
Quality Model ◽  
Polynomial Neural Network

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

scholarly journals Parameters sensitivity analysis of DO in water quality model of QUAL2K

2018 ◽  
Vol 191 ◽  
pp. 012030 ◽  
Author(s):  
Q S Chen ◽  
X H Xie ◽  
Q Y Du ◽  
Y Liu
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Water Quality Model ◽  
Quality Model

Sensitivity analysis of non-point sources in a water quality model applied to a dammed low-flow-reach river

2008 ◽  
Vol 57 (8) ◽  
pp. 1295-1300
Author(s):  
Nayana G. M. Silva ◽  
Marcos von Sperling
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Initial Conditions ◽  
Quality Parameters ◽  
Water Quality Model ◽  
Point Sources ◽  
Low Flow ◽  
Treated Wastewater ◽  
Quality Model ◽  
River Bed

Downstream of Capim Branco I hydroelectric dam (Minas Gerais state, Brazil), there is the need of keeping a minimum flow of 7 m3/s. This low flow reach (LFR) has a length of 9 km. In order to raise the water level in the low flow reach, the construction of intermediate dikes along the river bed was decided. The LFR has a tributary that receives the discharge of treated wastewater. As part of this study, water quality of the low-flow reach was modelled, in order to gain insight into its possible behaviour under different scenarios (without and with intermediate dikes). QUAL2E equations were implemented in FORTRAN code. The model takes into account point-source pollution and diffuse pollution. Uncertainty analysis was performed, presenting probabilistic results and allowing identification of the more important coefficients in the LFR water-quality model. The simulated results indicate, in general, very good conditions for most of the water quality parameters The variables of more influence found in the sensitivity analysis were the conversion coefficients (without and with dikes), the initial conditions in the reach (without dikes), the non-point incremental contributions (without dikes) and the hydraulic characteristics of the reach (with dikes).

Local sensitivity analysis of a distributed parameters water quality model

1997 ◽  
Vol 57 (1) ◽  
pp. 21-30 ◽  
Author(s):  
R. Pastres ◽  
D. Franco ◽  
G. Pecenik ◽  
C. Solidoro ◽  
C. Dejak
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Water Quality Model ◽  
Quality Model ◽  
Local Sensitivity ◽  
Local Sensitivity Analysis ◽  
Distributed Parameters

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

Water ◽  
2018 ◽  
Vol 10 (2) ◽  
pp. 153 ◽  
Author(s):  
Yao Cheng ◽  
Yajun Li ◽  
Fei Ji ◽  
Yuchun Wang
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Three Gorges Reservoir ◽  
Global Sensitivity Analysis ◽  
Water Quality Model ◽  
Three Gorges ◽  
Quality Model ◽  
Global Sensitivity ◽  
The Three Gorges Reservoir ◽  
The Three Gorges
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