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Dataset on water quality characteristics of a hill stream in Bhaderwah, Jammu and Kashmir

The article summarises the data on water quality characteristics of Neeru stream analysed monthly for two years on a seasonal basis averaged to one year. Twenty-five water samples were collected and analysed to understand the quality of water based on index parameters. The data indicates marked vari...

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Detalles Bibliográficos
Autores principales: Kumar, Ravinder, Raina, Anil, Sharma, Neeraj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745531/
https://www.ncbi.nlm.nih.gov/pubmed/31538103
http://dx.doi.org/10.1016/j.dib.2019.104462
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author Kumar, Ravinder
Raina, Anil
Sharma, Neeraj
author_facet Kumar, Ravinder
Raina, Anil
Sharma, Neeraj
author_sort Kumar, Ravinder
collection PubMed
description The article summarises the data on water quality characteristics of Neeru stream analysed monthly for two years on a seasonal basis averaged to one year. Twenty-five water samples were collected and analysed to understand the quality of water based on index parameters. The data indicates marked variations in the concentration of most constituents mostly in the urban and suburban sections of the stream. The values for Canadian Water Quality Index (CWQI) were within acceptable range except for turbidity and nickel. The tributaries T-1, T-3 (III) and T-4 flowing close to urban settlement revealed relatively high levels of pollution (WQI:85-90), while T-3 (II) bisecting Bhaderwah town was heavily polluted (WQI:82.97). The main water channel (MC-1 to MC-10) with moderate to heavy pollution load in the middle and lower sections revealed reasonably good water quality (WQI 90-95).
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spelling pubmed-67455312019-09-19 Dataset on water quality characteristics of a hill stream in Bhaderwah, Jammu and Kashmir Kumar, Ravinder Raina, Anil Sharma, Neeraj Data Brief Environmental Science The article summarises the data on water quality characteristics of Neeru stream analysed monthly for two years on a seasonal basis averaged to one year. Twenty-five water samples were collected and analysed to understand the quality of water based on index parameters. The data indicates marked variations in the concentration of most constituents mostly in the urban and suburban sections of the stream. The values for Canadian Water Quality Index (CWQI) were within acceptable range except for turbidity and nickel. The tributaries T-1, T-3 (III) and T-4 flowing close to urban settlement revealed relatively high levels of pollution (WQI:85-90), while T-3 (II) bisecting Bhaderwah town was heavily polluted (WQI:82.97). The main water channel (MC-1 to MC-10) with moderate to heavy pollution load in the middle and lower sections revealed reasonably good water quality (WQI 90-95). Elsevier 2019-08-31 /pmc/articles/PMC6745531/ /pubmed/31538103 http://dx.doi.org/10.1016/j.dib.2019.104462 Text en © 2019 The Author(s) 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 Science
Kumar, Ravinder
Raina, Anil
Sharma, Neeraj
Dataset on water quality characteristics of a hill stream in Bhaderwah, Jammu and Kashmir
title Dataset on water quality characteristics of a hill stream in Bhaderwah, Jammu and Kashmir
title_full Dataset on water quality characteristics of a hill stream in Bhaderwah, Jammu and Kashmir
title_fullStr Dataset on water quality characteristics of a hill stream in Bhaderwah, Jammu and Kashmir
title_full_unstemmed Dataset on water quality characteristics of a hill stream in Bhaderwah, Jammu and Kashmir
title_short Dataset on water quality characteristics of a hill stream in Bhaderwah, Jammu and Kashmir
title_sort dataset on water quality characteristics of a hill stream in bhaderwah, jammu and kashmir
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745531/
https://www.ncbi.nlm.nih.gov/pubmed/31538103
http://dx.doi.org/10.1016/j.dib.2019.104462
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