Sensitivity Analysis of a Water-Quality Model Using Latin Hypercube Sampling

2004 ◽  
Vol 130 (3) ◽  
pp. 232-242 ◽  
Author(s):  
Gemma Manache ◽  
Charles S. Melching
Keyword(s):  
Water Quality ◽  
Sensitivity Analysis ◽  
Latin Hypercube Sampling ◽  
Water Quality Model ◽  
Latin Hypercube ◽  
Quality Model

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

Improved dynamic simulation technique for hydrodynamics and water quality of river-connected lakes

2020 ◽  
Vol 20 (8) ◽  
pp. 3752-3767
Author(s):  
Bojun Liu ◽  
Jun Xia ◽  
Libin Yang ◽  
Changyong Cui ◽  
Linwei Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
Latin Hypercube Sampling ◽  
Resistance Coefficient ◽  
Water Quality Model ◽  
Roughness Coefficient ◽  
Model Parameters ◽  
State Variables ◽  
Quality Model ◽  
Rank Regression ◽  
Hongze Lake

Abstract In this study, a two-dimensional hydrodynamic water-quality model is proposed for river-connected lakes in an effort to improve calibration accuracy and reduce computational burden. To achieve this, the sensitivity of parameters involved in the hydrodynamic model is analyzed using stepwise rank regression and Latin hypercube sampling (LHS), and the roughness coefficient, wind drag coefficient and wind resistance coefficient are identified as the most important parameters affecting the hydrodynamics of the Hongze Lake. Then, the ensemble Kalman filter (EnKF) is used to assimilate observations to the proposed hydrodynamic and water quality model. It is found that assimilation of both state variables and model parameters results in a significant improvement of the simulation of the water level, flow velocity and pollutant concentration in the Hongze Lake.

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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