Issue |
E3S Web Conf.
Volume 19, 2017
International Conference Energy, Environment and Material Systems (EEMS 2017)
|
|
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Article Number | 02009 | |
Number of page(s) | 8 | |
Section | Environment | |
DOI | https://doi.org/10.1051/e3sconf/20171902009 | |
Published online | 23 October 2017 |
Analysis of factors affecting the ecological status of the large water bodies on the basis of monitoring and integrated 3D models
Lodz University of Technology, Faculty of Process and Environmental Engineering, Wolczanska 213 Street, 90-924 Lodz, Poland
⁎ Corresponding author: ireneusz.zbicinski@p.lodz.pl
The paper presents water monitoring methods used to determine and predict the ecological status of large water bodies based on calibrated 3D water quality models. State monitoring system of quality of water was discussed and critically reviewed. Mobile measurements technique to collect vast number of measuring points across the large water body during one day cruise to make maps of pollutants distributions was described. Maps of water quality parameters show dynamic changes of spatial distributions of pollutants both in time and along the length of the lake which proves that one point measurements cannot be representative for the large water body. Critical evaluation of calibration principles and accuracy of the most frequently used water quality models, WASP and GEMSS are presented. On the basis of CFD calculations, close correlation between water quality and hydrodynamics in large water bodies regarding the physicochemical aspects and biological production was proved. Neglecting the effect of hydrodynamic on eutrophication process introduce large element of uncertainty in determination of nutrients flow in the large water bodies. An example of scenarios for improving the ecological potential of dam reservoirs to obtain significant reduction of selected nutrients concentration in the lake is discussed.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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