Assessment of seasonal groundwater quality and potential saltwater intrusion: a study case in Urmia coastal aquifer (NW Iran) using the groundwater quality index (GQI) and hydrochemical facies evolution diagram (HFE-D)

2015 ◽  
Vol 30 (5) ◽  
pp. 1473-1484 ◽  
Author(s):  
Vahab Amiri ◽  
Mohammad Nakhaei ◽  
Razyeh Lak ◽  
Majid Kholghi
Keyword(s):  
Groundwater Quality ◽  
Coastal Aquifer ◽  
Saltwater Intrusion ◽  
Quality Index ◽  
Hydrochemical Facies ◽  
Nw Iran ◽  
Groundwater Quality Index ◽  
Study Case

Application of a GIS-based DRASTIC model and groundwater quality index method for evaluation of groundwater vulnerability: a case study, Sefid-Dasht

2015 ◽  
Vol 15 (4) ◽  
pp. 784-792 ◽  
Author(s):  
Nastaran Khodabakhshi ◽  
Gholamreza Asadollahfardi ◽  
Nima Heidarzadeh
Keyword(s):  
Groundwater Quality ◽  
Quality Index ◽  
Major Ions ◽  
Groundwater Vulnerability ◽  
Vulnerability Index ◽  
Aquifer Vulnerability ◽  
Index Method ◽  
Drastic Model ◽  
Groundwater Quality Index ◽  
The North

Pollution control and removal of pollutants from groundwater are a challenging and expensive task. The aims of this paper are to determine the aquifer vulnerability of Sefid-Dasht, in Chaharmahal and Bakhtiari province, Iran, using the DRASTIC model. In addition, the groundwater quality index (GQI) technique was applied to assess the groundwater quality and study the spatial variability of major ion concentrations using a geographic information system (GIS). The vulnerability index ranged from 65 to 132, classified into two classes: low and moderate vulnerability. In the southern part of the aquifer, the vulnerability was moderate. Furthermore, the results indicate that the magnitude of the GQI index varies from 92% to 95%. This means the water has a suitable quality. However, from the north to the south and southwest of the aquifer, the water quality has been deteriorating, and the highest concentration of major ions was found in the southwest of the Sefid-Dasht aquifer. A comparison of the vulnerability maps with the GQI index map indicated a poor relation between them. In the DRASTIC method, movement of groundwater is not considered and may be the reason for such inconsistency. However, the movement of groundwater can transport contaminants.

scholarly journals Entropy weight application for calculating groundwater quality index (EWQI) in groundwater quality zoning in Pleistocene aquifer in the Phu My town, Ba Ria – Vung Tau province

2020 ◽  
Vol 4 (1) ◽  
pp. 140-148
Author(s):  
Nguyen Hai Au ◽  
Tran Minh Bao ◽  
Pham Thi Tuyet Nhi ◽  
Tat Hong Minh Vy ◽  
Truong Tan Hien ◽  
...  
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Quality Index ◽  
Animal Husbandry ◽  
Quality Parameters ◽  
Entropy Weight ◽  
Groundwater Quality Index ◽  
Pleistocene Aquifer ◽  
Groundwater Samples ◽  
Entropy Weight Method

Groundwater in Phu My town is exploited essentially in Pleistocene aquifer and, used for many purposes like irrigation, domestic, production and animal husbandry. In this study, Groundwater Quality Index (EWQI) is calculated with Entropy weight method to determine the suitability of groundwater quality in study area. This method demonstrates the objectivity of each parameter calculated based on the degree of variability of each value and depends on the sample data source. The groundwater samples were collected from 17 wells in dry and wet seasons in 2017 with ten water quality parameters (pH, TDS, TH, Cl-, F-, NH4+-N, NO3--N, SO42-, Pb và Fe2+) were selected for analysising. The analysis results indicate groundwater quality is divided into 4 categories in this study area. In particular, over 70% of wells are "very good" water quality in both dry and wet seasons. Only 6% of wells are " water unsuitable for drinking purpose" of the total number of mornitoring wells in the study area.

Spatial and sensitivity analysis of integrated groundwater quality index towards irrigational suitability investigation

2020 ◽  
Vol 123 ◽  
pp. 104782
Author(s):  
Mobarok Hossain ◽  
Pulak Kumar Patra ◽  
Syeda Nurunnesa Begum ◽  
Chowdhury Habibur Rahaman
Keyword(s):  
Sensitivity Analysis ◽  
Groundwater Quality ◽  
Quality Index ◽  
Groundwater Quality Index

scholarly journals Creation of a groundwater quality index for an aquifer belonging to the São Francisco River Basin

2019 ◽  
Vol 33 (3) ◽  
pp. 238-246
Author(s):  
Luana Nunes Centeno ◽  
Samanta Tolentino Cecconello ◽  
Tirzah Siqueira
Keyword(s):  
Groundwater Quality ◽  
River Basin ◽  
Quality Index ◽  
Sao Francisco River ◽  
Groundwater Quality Index ◽  
São Francisco River

Entender como e onde as atividades antrópicas influenciam a qualidade da água de um aquífero é de extrema importância para o monitoramento e manejo destas, porém as ferramentas utilizadas para esse fim são escassas. O objetivo deste estudo foi criar e espacializar um índice específico de qualidade da água subterrânea para avaliar a qualidade da água de um aquífero. Assim, através de uma padronização dos dados, bem como um dimensionamento de acordo com a sua concentração ou medição para criar os sub-índices e com base na estatística multivariada, estabeleceu-se os pesos de cada uma das variáveis envolvidas neste estudo. As variáveis utilizadas neste estudo são dados secundários fornecidos pelo IGAM, coletados no ano de 2017. Além disso, após a criação deste índice, especializou-se o mesmo para visualizar as zonas que sofrem as maiores influências antrópicas. Além disso, com base no índice espacialmente criado, foi possível identificar que a área na porção mais ao norte do mapa é onde foi encontrada a melhor qualidade da água. Assim, observou-se que o nitrato é a variável mais importante neste estudo. Portanto, foi possível concluir que o índice criado é capaz de auxiliar no monitoramento e gestão dos recursos hídricos

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