<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The article is focused on analysis of input data impact on outputs of water quality models. The authors examined the impact of roughness coefficient, both boundary and initial conditions setup on changes of outputs generated by HEC-RAS model. Simulation results have shown a various response rate of input data on simulated results. The strong impact shows roughness coefficient setup that through the value of longitudinal dispersion coefficient affects pollution transport process. Changes in boundary conditions have had less influence on outputs. Relatively strong impact shows the setup of initial state of pollution concentration along the reach mainly for the case of low gradient rivers.</p></abstract>

The article is focused on analysis of input data impact on outputs of water quality models. The authors examined the impact of roughness coefficient, both boundary and initial conditions setup on changes of outputs generated by HEC-RAS model. Simulation results have shown a various response rate of input data on simulated results. The strong impact shows roughness coefficient setup that through the value of longitudinal dispersion coefficient affects pollution transport process. Changes in boundary conditions have had less influence on outputs. Relatively strong impact shows the setup of initial state of pollution concentration along the reach mainly for the case of low gradient rivers.

Sensitivity Analysis of Input Data in Surface Water Quality Models

Slovak University of Agriculture in Nitra

Acta Horticulturae et Regiotecturae

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Sensitivity Analysis of Input Data in Surface Water Quality Models"}

The article is focused on analysis of input data impact on outputs of water quality models. The authors examined the impact of roughness coefficient, both...

Sensitivity Analysis of Input Data in Surface Water Quality Models

Online veröffentlicht: 01. Nov. 2019

Seitenbereich: 84 - 87

DOI: https://doi.org/10.2478/ahr-2019-0016

Schlüsselwörter
sensitivity analysis, water quality modelling, open channel, HEC-RAS

© 2019 Martin Manina et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Sensitivity Analysis of Input Data in Surface Water Quality Models

Online veröffentlicht: 01. Nov. 2019

Seitenbereich: 84 - 87

DOI: https://doi.org/10.2478/ahr-2019-0016

Schlüsselwörtersensitivity analysis, water quality modelling, open channel, HEC-RAS

© 2019 Martin Manina et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
sensitivity analysis, water quality modelling, open channel, HEC-RAS