Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1783330773592440832 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5996134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT takdastanafshin neurofuzzyinferencesystempredictionofstabilityindicesandsodiumabsorptionratioinlordeganruraldrinkingwaterresourcesinwestiran AT mirzabeygiradfardmajid neurofuzzyinferencesystempredictionofstabilityindicesandsodiumabsorptionratioinlordeganruraldrinkingwaterresourcesinwestiran AT yousefimahmood neurofuzzyinferencesystempredictionofstabilityindicesandsodiumabsorptionratioinlordeganruraldrinkingwaterresourcesinwestiran AT abbasniaabbas neurofuzzyinferencesystempredictionofstabilityindicesandsodiumabsorptionratioinlordeganruraldrinkingwaterresourcesinwestiran AT khodadadiarouhollah neurofuzzyinferencesystempredictionofstabilityindicesandsodiumabsorptionratioinlordeganruraldrinkingwaterresourcesinwestiran AT soleimanihamed neurofuzzyinferencesystempredictionofstabilityindicesandsodiumabsorptionratioinlordeganruraldrinkingwaterresourcesinwestiran AT mahviamirhossein neurofuzzyinferencesystempredictionofstabilityindicesandsodiumabsorptionratioinlordeganruraldrinkingwaterresourcesinwestiran AT naghandavoodjalili neurofuzzyinferencesystempredictionofstabilityindicesandsodiumabsorptionratioinlordeganruraldrinkingwaterresourcesinwestiran |