Experimental investigation of trihalomethane formation and its modeling in drinking waters

This research developed models using multiple linear regression analysis for the prediction of trihalomethane formation in coagulated Istanbul drinking water sources. The power-law model (model 1), using only ?UV272 as the designed parameter, proved the best model to describe the formation of trihalomethane. The other model (model 2), included pH, total organic carbon, chlorine dosages, ultraviolet absorbance at 254 nm (UV254), specific ultraviolet absorbance (SUVA) and differential absorbance at 272 nm (?UV272). The root-meansquare error (RMSE), normalization mean square error (NMSE), regression coefficient (R2) and index of agreement (IA) were used as statistical variables to evaluate the model performance. The better prediction results were obtained by model 1 for root-mean-square error, normalization mean square error, R2 and index of agreement as 9.14, 0.015, 0.95 and 0.99, respectively. © 2015, Chemical Publishing Co. All rights reserved.

Dergi Adı Asian Journal of Chemistry
Dergi Cilt Bilgisi 27
Dergi Sayısı 3
Sayfalar 984 - 990
Yayın Yılı 2015
Eser Adı
[dc.title]
Experimental investigation of trihalomethane formation and its modeling in drinking waters
Yazar
[dc.contributor.author]
Özdemir, Kadir
Yazar
[dc.contributor.author]
Yıldırım, Yılmaz
Yazar
[dc.contributor.author]
Toröz, İsmail
Yazar
[dc.contributor.author]
Uyak, Vedat
Yayın Yılı
[dc.date.issued]
2015
Yayıncı
[dc.publisher]
Chemical Publishing Co.
Yayın Türü
[dc.type]
article
Özet
[dc.description.abstract]
This research developed models using multiple linear regression analysis for the prediction of trihalomethane formation in coagulated Istanbul drinking water sources. The power-law model (model 1), using only ?UV272 as the designed parameter, proved the best model to describe the formation of trihalomethane. The other model (model 2), included pH, total organic carbon, chlorine dosages, ultraviolet absorbance at 254 nm (UV254), specific ultraviolet absorbance (SUVA) and differential absorbance at 272 nm (?UV272). The root-meansquare error (RMSE), normalization mean square error (NMSE), regression coefficient (R2) and index of agreement (IA) were used as statistical variables to evaluate the model performance. The better prediction results were obtained by model 1 for root-mean-square error, normalization mean square error, R2 and index of agreement as 9.14, 0.015, 0.95 and 0.99, respectively. © 2015, Chemical Publishing Co. All rights reserved.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Dili
[dc.language.iso]
eng
Konu Başlıkları
[dc.subject]
Differential absorbance at 272 nm (?UV272)
Konu Başlıkları
[dc.subject]
Drinking water
Konu Başlıkları
[dc.subject]
Modeling
Konu Başlıkları
[dc.subject]
Trihalomethane
Künye
[dc.identifier.citation]
Özdemir, K., Yİldİrİm, Y., Toröz, I. ve Uyak, V. (2015). Experimental investigation of trihalomethane formation and its modeling in drinking waters. Asian Journal of Chemistry, 27(3), 984–990.
Haklar
[dc.rights]
info:eu-repo/semantics/openAccess
ISSN
[dc.identifier.issn]
0970-7077
İlk Sayfa Sayısı
[dc.identifier.startpage]
984
Son Sayfa Sayısı
[dc.identifier.endpage]
990
Dergi Adı
[dc.relation.journal]
Asian Journal of Chemistry
Dergi Sayısı
[dc.identifier.issue]
3
Dergi Cilt Bilgisi
[dc.identifier.volume]
27
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.14233/ajchem.2015.17893
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/5827
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27
09.12.2022 tarihinden bu yana
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1
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12 Nisan 2024 07:43
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absorbance agreement ultraviolet square (model normalization regression trihalomethane prediction formation Publishing statistical coefficient (NMSE) rights reserved evaluate variables Chemical respectively root-mean-square obtained results better performance (RMSE) root-meansquare drinking designed ?UV272 power-law sources Istanbul proved coagulated
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