Comparison of Methods for Assessing the Assimilation Capacity of the Kazakhstani Sector of the Ili River

A mixed inverse problem for determining the biochemical oxygen demand of water (L0) and the rate of biochemical oxygen consumption (k0), which are important indicators of water quality, has been formulated and numerically solved based on real experimental data. The inverse problem is reduced to the...

Full description

Saved in:
Bibliographic Details
Published in:Modelling and simulation in engineering 2021, Vol.2021, p.1-8
Main Authors: Nurseitova, A. T., Jamalov, J. K., Azimov, A. A., Nurseitov, D. B., Tursunov, E. A.
Format: Article
Language:English
Subjects:
20th century
Biochemical oxygen demand
Comparative analysis
Hydrology
Inverse problems
Mathematical models
Methods
Optimization
Oxygen consumption
Pollutants
Pollution monitoring
River basins
Water quality
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A mixed inverse problem for determining the biochemical oxygen demand of water (L0) and the rate of biochemical oxygen consumption (k0), which are important indicators of water quality, has been formulated and numerically solved based on real experimental data. The inverse problem is reduced to the optimization problem consisting in minimization of the deviation of the calculated values from the experimental data, which is solved numerically using the Nelder–Mead method (zero order) and the gradient method (first order). A number of examples of processing both model experimental data and field experimental data provided by hydrological stations monitoring pollutants in the Kazakhstani part of the Ili River basin are presented. A mathematical model that adequately describes the processes in the river system has been constructed.
ISSN:1687-5591
1687-5605
DOI:10.1155/2021/9387827