Literature DB >> 19294524

Development of groundwater quality index.

Mohesn Saeedi1, Ozeair Abessi, Farid Sharifi, Hamed Meraji.   

Abstract

Assessing the water quality status for special use is the main objective of any water quality monitoring studies. The water quality index (WQI) is a mathematical instrument used to transform large quantities of water quality data into a single number which represents the water quality level. In fact, developing WQI in an area is a fundamental process in the planning of land use and water resources management. In this study, a simple methodology based on multivariate analysis is developed to create a groundwater quality index (GWQI), with the aim of identifying places with best quality for drinking within the Qazvin province, west central of Iran. The methodology is based on the definition of GWQI using average value of eight cation and anion parameters for 163 wells during a 3-year period. The proportion of observed concentrations to the maximum allowable concentration is calculated as normalized value of each parameter in observing wells. Final indices for each well are calculated considering weight of each parameter. In order to assess the groundwater quality of study area, the derived indices are compared with those of well-known mineral waters. Using developed indices, groundwater iso-index map for study area and the map of areas of which the indices are near to mineral waters was drawn. In the case study, the GWQI map reveals that groundwater quality in two areas is extremely near to mineral water quality. Created index map provides a comprehensive picture of easily interpretable for regional decision makers for better planning and management.

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Year:  2009        PMID: 19294524     DOI: 10.1007/s10661-009-0837-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

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Authors:  Housseini D Coulibaly; Manuel J Rodriguez
Journal:  J Environ Manage       Date:  2004-11       Impact factor: 6.789

2.  An objective water quality index.

Authors:  R D Harkins
Journal:  J Water Pollut Control Fed       Date:  1974-03
  2 in total
  8 in total

1.  Application of multivariate statistical analysis and hydrochemical and isotopic investigations for evaluation of groundwater quality and its suitability for drinking and agriculture purposes: case of Oum Ali-Thelepte aquifer, central Tunisia.

Authors:  Imen Hassen; Fadoua Hamzaoui-Azaza; Rachida Bouhlila
Journal:  Environ Monit Assess       Date:  2016-02-02       Impact factor: 2.513

2.  Groundwater quality in open-defecation-free villages (NIRMAL grams) of Kurukshetra district, Haryana, India.

Authors:  Anjali Malan; Hardeep Rai Sharma
Journal:  Environ Monit Assess       Date:  2018-07-18       Impact factor: 2.513

3.  Assessment of water quality in the Messolonghi-Etoliko and Neochorio region (West Greece) using hydrochemical and statistical analysis methods.

Authors:  Dimitris Alexakis
Journal:  Environ Monit Assess       Date:  2011-02-16       Impact factor: 2.513

4.  Health Risk Assessment in Southern Carpathians Small Rural Communities Using Karst Springs as a Drinking Water Source.

Authors:  Ana Moldovan; Anamaria Iulia Török; Ionuț Cornel Mirea; Valer Micle; Oana Teodora Moldovan; Erika Andrea Levei
Journal:  Int J Environ Res Public Health       Date:  2021-12-26       Impact factor: 3.390

5.  Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment.

Authors:  Artyom Nikitin; Polina Tregubova; Dmitrii Shadrin; Sergey Matveev; Ivan Oseledets; Maria Pukalchik
Journal:  Sci Rep       Date:  2021-12-10       Impact factor: 4.379

6.  Evaluation of Shallow Groundwater Quality at Regional Scales Using Adaptive Water Quality Indices.

Authors:  Petre Bretcan; Danut Tanislav; Cristiana Radulescu; Gheorghe Serban; Serban Danielescu; Michael Reid; Daniel Dunea
Journal:  Int J Environ Res Public Health       Date:  2022-08-26       Impact factor: 4.614

7.  Development of innovative computer software to facilitate the setup and computation of water quality index.

Authors:  Ramin Nabizadeh; Maryam Valadi Amin; Mahmood Alimohammadi; Kazem Naddafi; Amir Hossein Mahvi; Samira Yousefzadeh
Journal:  J Environ Health Sci Eng       Date:  2013-04-26

8.  Evaluation of water quality based on a machine learning algorithm and water quality index for the Ebinur Lake Watershed, China.

Authors:  Xiaoping Wang; Fei Zhang; Jianli Ding
Journal:  Sci Rep       Date:  2017-10-09       Impact factor: 4.379

  8 in total

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