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Dataset for the physio-chemical parameters of groundwater in the Emirate of Abu Dhabi, UAE

This dataset considers the statistical evaluation of groundwater quality for irrigation purposes in the Emirate of Abu Dhabi, UAE. The evaluation is based on calculating Irrigation Water Quality Index (IWQI), Sodium Adsorption Ratio (SAR), Sodium Percentage (%Na), and Permeability Index (PI). The ar...

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Autores principales: Batarseh, Mufeed, Imreizeeq, Emad, Tilev, Seyda, Al Alaween, Mohammad, Suleiman, Wael, Al Remeithi, Abdulla Mohammed, Al Tamimi, Mansoor Khamees, Al Alawneh, Majdy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455979/
https://www.ncbi.nlm.nih.gov/pubmed/34584914
http://dx.doi.org/10.1016/j.dib.2021.107353
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author Batarseh, Mufeed
Imreizeeq, Emad
Tilev, Seyda
Al Alaween, Mohammad
Suleiman, Wael
Al Remeithi, Abdulla Mohammed
Al Tamimi, Mansoor Khamees
Al Alawneh, Majdy
author_facet Batarseh, Mufeed
Imreizeeq, Emad
Tilev, Seyda
Al Alaween, Mohammad
Suleiman, Wael
Al Remeithi, Abdulla Mohammed
Al Tamimi, Mansoor Khamees
Al Alawneh, Majdy
author_sort Batarseh, Mufeed
collection PubMed
description This dataset considers the statistical evaluation of groundwater quality for irrigation purposes in the Emirate of Abu Dhabi, UAE. The evaluation is based on calculating Irrigation Water Quality Index (IWQI), Sodium Adsorption Ratio (SAR), Sodium Percentage (%Na), and Permeability Index (PI). The article represents raw data and statistical analysis for 145 groundwater well samples which took place from January until April 2018, where each sample was analyzed for the following main physio-chemical parameters including pH, EC, HCO(3)(−), TDS, Ca(2+), Mg(2+), Na(+), K(+), and Cl(−). The outcomes of the IWQI showed that 52% of the samples were categorized under severe irrigation restrictions, where groundwater can be used for irrigation of high salt tolerance crops only. While, 44% of the investigated sites located within the high restriction category, 3% within moderate restriction, and 1% within the low irrigation restriction category. Moreover, the data has been used to find other irrigation water quality indices such as Sodium Adsorption Ratio (SAR), Sodium Ratio (%Na), and Permeability Index (PI). These indices provided a guidance for evaluating the problems that might be developed in soil due to current irrigation practices in the study area. Furthermore, statistical analysis provided a deeper understanding of the relationship and data trends among the different physio-chemical parameters and water quality indices.
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spelling pubmed-84559792021-09-27 Dataset for the physio-chemical parameters of groundwater in the Emirate of Abu Dhabi, UAE Batarseh, Mufeed Imreizeeq, Emad Tilev, Seyda Al Alaween, Mohammad Suleiman, Wael Al Remeithi, Abdulla Mohammed Al Tamimi, Mansoor Khamees Al Alawneh, Majdy Data Brief Data Article This dataset considers the statistical evaluation of groundwater quality for irrigation purposes in the Emirate of Abu Dhabi, UAE. The evaluation is based on calculating Irrigation Water Quality Index (IWQI), Sodium Adsorption Ratio (SAR), Sodium Percentage (%Na), and Permeability Index (PI). The article represents raw data and statistical analysis for 145 groundwater well samples which took place from January until April 2018, where each sample was analyzed for the following main physio-chemical parameters including pH, EC, HCO(3)(−), TDS, Ca(2+), Mg(2+), Na(+), K(+), and Cl(−). The outcomes of the IWQI showed that 52% of the samples were categorized under severe irrigation restrictions, where groundwater can be used for irrigation of high salt tolerance crops only. While, 44% of the investigated sites located within the high restriction category, 3% within moderate restriction, and 1% within the low irrigation restriction category. Moreover, the data has been used to find other irrigation water quality indices such as Sodium Adsorption Ratio (SAR), Sodium Ratio (%Na), and Permeability Index (PI). These indices provided a guidance for evaluating the problems that might be developed in soil due to current irrigation practices in the study area. Furthermore, statistical analysis provided a deeper understanding of the relationship and data trends among the different physio-chemical parameters and water quality indices. Elsevier 2021-09-14 /pmc/articles/PMC8455979/ /pubmed/34584914 http://dx.doi.org/10.1016/j.dib.2021.107353 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Batarseh, Mufeed
Imreizeeq, Emad
Tilev, Seyda
Al Alaween, Mohammad
Suleiman, Wael
Al Remeithi, Abdulla Mohammed
Al Tamimi, Mansoor Khamees
Al Alawneh, Majdy
Dataset for the physio-chemical parameters of groundwater in the Emirate of Abu Dhabi, UAE
title Dataset for the physio-chemical parameters of groundwater in the Emirate of Abu Dhabi, UAE
title_full Dataset for the physio-chemical parameters of groundwater in the Emirate of Abu Dhabi, UAE
title_fullStr Dataset for the physio-chemical parameters of groundwater in the Emirate of Abu Dhabi, UAE
title_full_unstemmed Dataset for the physio-chemical parameters of groundwater in the Emirate of Abu Dhabi, UAE
title_short Dataset for the physio-chemical parameters of groundwater in the Emirate of Abu Dhabi, UAE
title_sort dataset for the physio-chemical parameters of groundwater in the emirate of abu dhabi, uae
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455979/
https://www.ncbi.nlm.nih.gov/pubmed/34584914
http://dx.doi.org/10.1016/j.dib.2021.107353
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