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Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran

According to World Health Organization guidelines, corrosion control is an important aspect of safe drinking-water supplies. Water always includes ingredients, dissolved gases and suspended materials. Although some of these water ingredients is indispensable for human beings, these elements more tha...

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Autores principales: Takdastan, Afshin, Mirzabeygi (Radfard), Majid, Yousefi, Mahmood, Abbasnia, Abbas, Khodadadia, Rouhollah, Soleimani, Hamed, Mahvi, Amir Hossein, Naghan, Davood Jalili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996134/
https://www.ncbi.nlm.nih.gov/pubmed/29896514
http://dx.doi.org/10.1016/j.dib.2018.02.075
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author Takdastan, Afshin
Mirzabeygi (Radfard), Majid
Yousefi, Mahmood
Abbasnia, Abbas
Khodadadia, Rouhollah
Soleimani, Hamed
Mahvi, Amir Hossein
Naghan, Davood Jalili
author_facet Takdastan, Afshin
Mirzabeygi (Radfard), Majid
Yousefi, Mahmood
Abbasnia, Abbas
Khodadadia, Rouhollah
Soleimani, Hamed
Mahvi, Amir Hossein
Naghan, Davood Jalili
author_sort Takdastan, Afshin
collection PubMed
description According to World Health Organization guidelines, corrosion control is an important aspect of safe drinking-water supplies. Water always includes ingredients, dissolved gases and suspended materials. Although some of these water ingredients is indispensable for human beings, these elements more than permissible limits, could be endanger human health. The aim of this study is to assess physical and chemical parameters of drinking water in the rural areas of Lordegan city, also to determine corrosion indices. This cross-sectional study has carried out with 141 taken samples during 2017 with 13 parameters, which has been analyzed based on standard method and to estimate the water quality indices from groundwater using ANFIS. Also with regard to standard conditions, results of this paper are compared with Environmental Protection Agency and Iran national standards. Five indices, Ryznar Stability Index (RSI), Langlier Saturation Index (LSI), Larson-Skold Index (LS), Puckorius Scaling Index (PSI), and Aggressive Index (AI) programmed by using Microsoft Excel software. Owing to its simplicity, the program, can easily be used by researchers and operators. Parameters included Sulfate, Sodium, Chloride, and Electrical Conductivity respectively were 13.5, 28, 10.5, and 15% more than standard level. The amount of Nitrate, in 98% of cases were in permissible limits and about 2% were more than standard level. Result of presented research indicate that water is corrosive at 10.6%,89.4%,87.2%,59.6% and 14.9% of drinking water supply reservoirs, according to LSI, RSI, PSI, LS and AI, respectively.
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spelling pubmed-59961342018-06-12 Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran Takdastan, Afshin Mirzabeygi (Radfard), Majid Yousefi, Mahmood Abbasnia, Abbas Khodadadia, Rouhollah Soleimani, Hamed Mahvi, Amir Hossein Naghan, Davood Jalili Data Brief Environmental Sciences    According to World Health Organization guidelines, corrosion control is an important aspect of safe drinking-water supplies. Water always includes ingredients, dissolved gases and suspended materials. Although some of these water ingredients is indispensable for human beings, these elements more than permissible limits, could be endanger human health. The aim of this study is to assess physical and chemical parameters of drinking water in the rural areas of Lordegan city, also to determine corrosion indices. This cross-sectional study has carried out with 141 taken samples during 2017 with 13 parameters, which has been analyzed based on standard method and to estimate the water quality indices from groundwater using ANFIS. Also with regard to standard conditions, results of this paper are compared with Environmental Protection Agency and Iran national standards. Five indices, Ryznar Stability Index (RSI), Langlier Saturation Index (LSI), Larson-Skold Index (LS), Puckorius Scaling Index (PSI), and Aggressive Index (AI) programmed by using Microsoft Excel software. Owing to its simplicity, the program, can easily be used by researchers and operators. Parameters included Sulfate, Sodium, Chloride, and Electrical Conductivity respectively were 13.5, 28, 10.5, and 15% more than standard level. The amount of Nitrate, in 98% of cases were in permissible limits and about 2% were more than standard level. Result of presented research indicate that water is corrosive at 10.6%,89.4%,87.2%,59.6% and 14.9% of drinking water supply reservoirs, according to LSI, RSI, PSI, LS and AI, respectively. Elsevier 2018-03-13 /pmc/articles/PMC5996134/ /pubmed/29896514 http://dx.doi.org/10.1016/j.dib.2018.02.075 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Sciences   
Takdastan, Afshin
Mirzabeygi (Radfard), Majid
Yousefi, Mahmood
Abbasnia, Abbas
Khodadadia, Rouhollah
Soleimani, Hamed
Mahvi, Amir Hossein
Naghan, Davood Jalili
Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran
title Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran
title_full Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran
title_fullStr Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran
title_full_unstemmed Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran
title_short Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran
title_sort neuro-fuzzy inference system prediction of stability indices and sodium absorption ratio in lordegan rural drinking water resources in west iran
topic Environmental Sciences   
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996134/
https://www.ncbi.nlm.nih.gov/pubmed/29896514
http://dx.doi.org/10.1016/j.dib.2018.02.075
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