IAHR, founded in 1935, is a worldwide independent memberbased organisation of engineers and water specialists working in fields related to the hydroenvironmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and ecohydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.





Analysis of processes affecting the thermal pollution spreading in rivers 
Author : 
MONIKA B. KALINOWSKA(1), MAGDALENA M. MROKOWSKA (1) & PAWEŁ M. ROWIŃSKI(1) 
While solving practical problems concerning thermal pollution spreading in rivers, many questions about the importance of the processes affecting the mixing arise. Heat transport in rivers in general case should be described by threedimensional (3D) differential equation (see e.g. Szymkiewicz, 2010). But solution of such equation requires huge amount of data that are usually difficult to obtain. The computational costs of the solution are also very high, so different simplifications are considered in practice. Since the mixing along the depth is relatively fast, the most obvious simplifications pertain to the reduction of the problem to two (2D) or even one dimension (1D). In practical applications the 2D models have been shown to give reasonable results. 1D models may be also very useful, but very often they are used without proper justification for large rivers with complicated geometries. 1D approach may be used in the farfield zone after complete vertical and horizontal mixing (while the mixing along the depth is relatively fast, the mixing along the width can take a very long time). Nevertheless sometimes such approach is unavoidable even in midfield zone where there is no enough data to use the 2D models, but then results are biased by large errors. Additional simplifications are related to the particular terms of heat equation that have to be estimated i.e.: the sources function
describing additional heating or cooling processes, the dispersion tensor components in 2D equation (see e.g.
Kalinowska and Rowiński, 2008; Rowiński and Kalinowska, 2006) or longitudinal dispersion coefficient in 1D equation (see e.g. Wallis and Manson, 2004).

File Size : 
138,201 bytes 
File Type : 
Adobe Acrobat Document 
Chapter : 
IAHR World Congress Proceedings

Category : 
36th Congress  The Hague (2015) ALL CONTENT

Article : 
Hydroenvironment

Date Published : 
30/09/2015 







