Presenting a conceptual model of data collection to manage the groundwater quality

A conceptual model was proposed in the present study, which highlighted important independent and dependent variables in order to managing the groundwater quality. Furthermore, the methods of selection of variable and collection of related data were explained. The study was carried out in the Tajan...

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Main Authors: Nourbakhsh Zahra, Yousefi Hossein
Format: Article
Language:English
Published: Polish Academy of Sciences 2017-12-01
Series:Journal of Water and Land Development
Subjects:
Online Access:http://www.degruyter.com/view/j/jwld.2017.35.issue-1/jwld-2017-0079/jwld-2017-0079.xml?format=INT
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author Nourbakhsh Zahra
Yousefi Hossein
author_facet Nourbakhsh Zahra
Yousefi Hossein
author_sort Nourbakhsh Zahra
collection DOAJ
description A conceptual model was proposed in the present study, which highlighted important independent and dependent variables in order to managing the groundwater quality. Furthermore, the methods of selection of variable and collection of related data were explained. The study was carried out in the Tajan Plain, north of Iran; 50 drinking wells were considered as sampling points. In this model the Analytical Hierarchy Process (AHP) was proposed to select the indicator water quality parameters. According to expert opinions and characteristics of the study area ten factors were chosen as variables influencing the quality of groundwater (land use types, lithology units, geology units, distance of wells to the outlet, distance to the residential areas, direction toward the residential areas, depth of the groundwater table, the type of aquifer, transmissivity and population). Geographic Information System (AecGIS 9.3) was used to manage the spatial-based variables and the data of non-spatial-based variables were obtained from relevant references. A database, which contains all collected data related to groundwater quality management in the studied area, was created as the output of the model. The output of this conceptual model can be used as an input for quantitative and mathematical models. Results show that 6 parameters (sulphate, iron, nitrate, electrical conductivity, calcium, and total dissolved solids (TDS) were the best indicators for groundwater quality analysis in the area. More than 50% of the wells were drilled in the depth of groundwater table about 5 meters, in this low depth pollutants can load into the wells and also 78% of the wells are located within 5 km from the urban area; it can be concluded from this result that the intensive urban activities could affect groundwater quality.
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spelling doaj.art-0e1189d1adef4192ae3947c0456f7fbd2023-09-02T13:54:54ZengPolish Academy of SciencesJournal of Water and Land Development2083-45352017-12-0135114916010.1515/jwld-2017-0079jwld-2017-0079Presenting a conceptual model of data collection to manage the groundwater qualityNourbakhsh Zahra0Yousefi Hossein1Islamic Azad University, Young Researchers and Elites Club, Science and Research Branch, Tehran, IranUniversity of Tehran, Faculty of New Sciences and Technologies, 16th Azar St., Enghelab Sq., 1417466191, Tehran, IranA conceptual model was proposed in the present study, which highlighted important independent and dependent variables in order to managing the groundwater quality. Furthermore, the methods of selection of variable and collection of related data were explained. The study was carried out in the Tajan Plain, north of Iran; 50 drinking wells were considered as sampling points. In this model the Analytical Hierarchy Process (AHP) was proposed to select the indicator water quality parameters. According to expert opinions and characteristics of the study area ten factors were chosen as variables influencing the quality of groundwater (land use types, lithology units, geology units, distance of wells to the outlet, distance to the residential areas, direction toward the residential areas, depth of the groundwater table, the type of aquifer, transmissivity and population). Geographic Information System (AecGIS 9.3) was used to manage the spatial-based variables and the data of non-spatial-based variables were obtained from relevant references. A database, which contains all collected data related to groundwater quality management in the studied area, was created as the output of the model. The output of this conceptual model can be used as an input for quantitative and mathematical models. Results show that 6 parameters (sulphate, iron, nitrate, electrical conductivity, calcium, and total dissolved solids (TDS) were the best indicators for groundwater quality analysis in the area. More than 50% of the wells were drilled in the depth of groundwater table about 5 meters, in this low depth pollutants can load into the wells and also 78% of the wells are located within 5 km from the urban area; it can be concluded from this result that the intensive urban activities could affect groundwater quality.http://www.degruyter.com/view/j/jwld.2017.35.issue-1/jwld-2017-0079/jwld-2017-0079.xml?format=INTAnalytical Hierarchy Process (AHP)conceptual modeldatabaseGeographic Information System (GIS)the Tajan Plain
spellingShingle Nourbakhsh Zahra
Yousefi Hossein
Presenting a conceptual model of data collection to manage the groundwater quality
Journal of Water and Land Development
Analytical Hierarchy Process (AHP)
conceptual model
database
Geographic Information System (GIS)
the Tajan Plain
title Presenting a conceptual model of data collection to manage the groundwater quality
title_full Presenting a conceptual model of data collection to manage the groundwater quality
title_fullStr Presenting a conceptual model of data collection to manage the groundwater quality
title_full_unstemmed Presenting a conceptual model of data collection to manage the groundwater quality
title_short Presenting a conceptual model of data collection to manage the groundwater quality
title_sort presenting a conceptual model of data collection to manage the groundwater quality
topic Analytical Hierarchy Process (AHP)
conceptual model
database
Geographic Information System (GIS)
the Tajan Plain
url http://www.degruyter.com/view/j/jwld.2017.35.issue-1/jwld-2017-0079/jwld-2017-0079.xml?format=INT
work_keys_str_mv AT nourbakhshzahra presentingaconceptualmodelofdatacollectiontomanagethegroundwaterquality
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