Durmishi, Arbana and Shabani, Agim and Abduli, Shemsedin and A. Reka, Arianit and Jashari, Ahmed and Ismaili, Murtezan and H. Durmishi, Bujar (2018) Application of mathematical models for predicting the trihalomethanes’ content in drinking water in the city of Tetova. Journal of Natural Sciences and Mathematics of UT, 3 (5-6). pp. 25-33. ISSN 2671-3039
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Abstract
Trihalomethanes (THM) as the main by-products of disinfection are formed when chlorine acts with organic matter contained in drinking water. THMs at high concentrations are very harmful and may be cancerogenic to the liver, pancreas, nervous system, developing organs, while in women they may cause abortion. Therefore, THMs have long disturbed the scientific and public opinion. Because of this, THMs should be monitored continuously. THMs are mainly determined with the method of gas chromatography, which is a difficult and very costly procedure. To avoid this, the mathematical models used to predict THMs in drinking water have been used in recent years. By quickly measuring the values of some simple parameters of drinking water quality and replacing them in mathematical models, THMs content can be predicted. The purpose of this article is to predict the content of THMs in the drinking water of the city of Tetova for the spring season 2016 at the three sites T1, T2 and T3. The measured parameters and their average standard deviation values were: water temperature (9.81 1.12 C), residual chlorine (0.13 0.01 mg/L), pH (7.47 0.23), electrical conductivity (259.54 24.89 µS/cm), chemical oxygen demand (3.30 0.53 mg/L), total dissolved solids (452.88 50.67) and chlorides (2.32 0.66 mg/L) respectively. The average values are then placed in mathematical models and by calculation, the content of THMs in drinking water is predicted. Ten mathematical models were used for the prediction and their average value of the THMs with standard deviation was 17.75 ± 6.96 μg/L. This result was very close to the one experimentally measured in the spring of 2011 (20.06 ± 9.72 µg/L). From the result, we can conclude that the models used for THMs prediction have yielded successful results and this content of THMs does not pose a health risk to the population
Item Type: | Article |
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Subjects: | Q Science > Q Science (General) |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Chemistry |
Depositing User: | Unnamed user with email zshi@unite.edu.mk |
Date Deposited: | 05 Jun 2019 08:22 |
Last Modified: | 05 Jun 2019 08:22 |
URI: | http://eprints.unite.edu.mk/id/eprint/32 |
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