<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Analytical solutions describing the 1D substance transport in streams have many limitations and factors, which determine their accuracy. One of the very important factors is the presence of the transient storage (dead zones), that deform the concentration distribution of the transported substance. For better adaptation to such real conditions, a simple 1D approximation method is presented in this paper. The proposed approximate method is based on the asymmetric probability distribution (Gumbel’s distribution) and was verified on three streams in southern Slovakia. Tracer experiments on these streams confirmed the presence of dead zones to various extents, depending mainly on the vegetation extent in each stream. Statistical evaluation confirms that the proposed method approximates the measured concentrations significantly better than methods based upon the Gaussian distribution. The results achieved by this novel method are also comparable with the solution of the 1D advection-diffusion equation (ADE), whereas the proposed method is faster and easier to apply and thus suitable for iterative (inverse) tasks.</p></abstract>

Analytical solutions describing the 1D substance transport in streams have many limitations and factors, which determine their accuracy. One of the very important factors is the presence of the transient storage (dead zones), that deform the concentration distribution of the transported substance. For better adaptation to such real conditions, a simple 1D approximation method is presented in this paper. The proposed approximate method is based on the asymmetric probability distribution (Gumbel’s distribution) and was verified on three streams in southern Slovakia. Tracer experiments on these streams confirmed the presence of dead zones to various extents, depending mainly on the vegetation extent in each stream. Statistical evaluation confirms that the proposed method approximates the measured concentrations significantly better than methods based upon the Gaussian distribution. The results achieved by this novel method are also comparable with the solution of the 1D advection-diffusion equation (ADE), whereas the proposed method is faster and easier to apply and thus suitable for iterative (inverse) tasks.

An approximate method for 1-D simulation of pollution transport in streams with dead zones

Department of Sanitary and Environmental Engineering, Faculty of Civil Engineering

Slovak University of Technology in Bratislava

Institute of Hydrology of the Slovak Academy of Sciences

Department of Civil, Architectural and Environmental Engineering

Journal of Hydrology and Hydromechanics

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

Analytical solutions describing the 1D substance transport in streams have many limitations and factors, which determine their accuracy. One of the very...

An approximate method for 1-D simulation of pollution transport in streams with dead zones

Online veröffentlicht: 29. Okt. 2018

Seitenbereich: 437 - 447

Eingereicht: 05. Sept. 2017

Akzeptiert: 25. Juni 2018

DOI: https://doi.org/10.2478/johh-2018-0035

Schlüsselwörter
Environmental hydraulics, River pollution, Hydrodynamic dispersion, Longitudinal dispersion, Dead zones

© 2018 Marek Sokáč et al., published by Sciendo

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

An approximate method for 1-D simulation of pollution transport in streams with dead zones

Online veröffentlicht: 29. Okt. 2018

Seitenbereich: 437 - 447

Eingereicht: 05. Sept. 2017

Akzeptiert: 25. Juni 2018

DOI: https://doi.org/10.2478/johh-2018-0035

SchlüsselwörterEnvironmental hydraulics, River pollution, Hydrodynamic dispersion, Longitudinal dispersion, Dead zones

© 2018 Marek Sokáč et al., published by Sciendo

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

Schlüsselwörter
Environmental hydraulics, River pollution, Hydrodynamic dispersion, Longitudinal dispersion, Dead zones