scholarly journals Data on drinking water quality using water quality index (WQI) and assessment of groundwater quality for irrigation purposes in Qorveh&Dehgolan, Kurdistan, Iran

Data in Brief ◽  
2018 ◽  
Vol 20 ◽  
pp. 375-386 ◽  
Author(s):  
Hamed Soleimani ◽  
Omid Nasri ◽  
Boshra Ojaghi ◽  
Hasan Pasalari ◽  
Mona Hosseini ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Drinking Water Quality

scholarly journals Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI)

2019 ◽  
Vol 16 (5) ◽  
pp. 731 ◽  
Author(s):  
Basheer A. Elubid ◽  
Tao Huang ◽  
Ekhlas H. Ahmed ◽  
Jianfei Zhao ◽  
Khalid. M. Elhag ◽  
...  
Keyword(s):  
Water Quality ◽  
Information System ◽  
Drinking Water ◽  
Geographic Information System ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Parameters ◽  
Geographic Information ◽  
Drinking Water Quality

The observation of groundwater quality elements is essential for understanding the classification and distribution of drinking water. Geographic Information System (GIS) and remote sensing (RS), are intensive tools for the performance and analysis of spatial datum associated with groundwater sources control. In this study, groundwater quality parameters were observed in three different aquifers including: sandstone, alluvium and basalt. These aquifers are the primary source of national drinking water and partly for agricultural activity in El Faw, El Raha (Fw-Rh), El Qalabat and El Quresha (Qa-Qu) localities in the southern part of Gedaref State in eastern Sudan. The aquifers have been overworked intensively as the main source of indigenous water supply in the study area. The interpolation methods were used to demonstrate the facies pattern and Drinking Water Quality Index (DWQI) of the groundwater in the research area. The GIS interpolation tool was used to obtain the spatial distribution of groundwater quality parameters and DWQI in the area. Forty samples were assembled and investigated for the analysis of major cations and anions. The groundwater in this research is controlled by sodium and bicarbonate ions that defined the composition of the water type to be Na HCO3. However, from the plots of piper diagram; the samples result revealed (40%) Na-Mg-HCO3 and (35%) Na-HCO3 water types. The outcome of the analysis reveals that several groundwater samples have been found to be suitable for drinking purposes in Fa-Rh and Qa-Qu areas.

Assessment of water quality in groundwater resources of Iran using a modified drinking water quality index (DWQI)

2013 ◽  
Vol 30 ◽  
pp. 28-34 ◽  
Author(s):  
Mohammad Reza Mohebbi ◽  
Reza Saeedi ◽  
Ahmad Montazeri ◽  
Kooshiar Azam Vaghefi ◽  
Sharareh Labbafi ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Groundwater Resources ◽  
Drinking Water Quality

scholarly journals Protocol for the estimation of drinking water quality index (DWQI) in water resources: Artificial neural network (ANFIS) and Arc-Gis

MethodsX ◽  
2019 ◽  
Vol 6 ◽  
pp. 1021-1029 ◽  
Author(s):  
Majid RadFard ◽  
Mozhgan Seif ◽  
Amir Hossein Ghazizadeh Hashemi ◽  
Ahmad Zarei ◽  
Mohammad Hossein Saghi ◽  
...  
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Artificial Neural Network ◽  
Drinking Water ◽  
Water Resources ◽  
Water Quality Index ◽  
Quality Index ◽  
Drinking Water Quality ◽  
Arc Gis ◽  
Artificial Neural

scholarly journals Water Quality Index Assessment ofGroundwater in Todaraisingh Tehsil of Rajasthan State, India-A Greener Approach

2010 ◽  
Vol 7 (s1) ◽  
pp. S428-S432 ◽  
Author(s):  
Ashok Kumar Yadav ◽  
Parveen Khan ◽  
Sanjay K. Sharma
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Statistical Analysis ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Standards ◽  
Water Sources ◽  
Contaminated Water ◽  
Water Quality Standards

This study deals with the statistical analysis and study of water quality index to assess hardness of groundwater in Todaraisingh tehsil of Tonk district of Rajasthan state. The study has been carried out to examine its suitability for drinking, irrigation and industrial purpose. The presence of problematic salts contains in groundwater due to local pollutants and affected the groundwater quality adversely. The estimated values were compared with drinking water quality standards prescribed by B.I.S. It was found that drinking water is severely polluted with hardness causing salts. This study reveals that people dependent on water sources of the study area are prone to health hazards of contaminated water and quality managements to hardness urgently needed.

scholarly journals Evaluation of groundwater quality for drinking and irrigation purposes using GIS-based water quality index in urban area of Abaya-Chemo sub-basin of Great Rift Valley, Ethiopia

2021 ◽  
Vol 11 (9) ◽  
Author(s):  
Tamru Tesseme Aragaw ◽  
Gopalakrishnan Gnanachandrasamy
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Spatial Distribution ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Rift Valley ◽  
Quality Index ◽  
Groundwater Resources ◽  
Drinking And Irrigation ◽  
Great Rift Valley

AbstractGroundwater is the major resource for drinking and irrigation purposes in urban areas of Abaya-Chemo sub-basin of Great Rift Valley, Ethiopia. There is an incredible increase in demand in the sub-basin for good-quality groundwater resources. However, the exhaustive irrigation and rapid urbanization has posed a serious threat to groundwater quality in the urban districts of sub-basin like Arba Minch town. The aim of the study was to evaluate the groundwater quality status and to map their spatial distribution with respect to the suitability for drinking and irrigation purposes in Arba Minch town, Ethiopia. Fourteen bore well samples were examined for geochemical variations and groundwater qualities. The spatial distribution maps of quality parameters were prepared using the kriging method in ArcGIS 10.3. Drinking water quality index, sodium adsorption ratio (SAR), percentage sodium (Na%), residual sodium carbonate (RSC), and permeability index (PI) were considered for drinking and irrigation suitability assessment. Comparison of the hydrochemical results with the World Health Organization (WHO) and Ethiopian drinking water standards (ES) and various classifications revealed that the current status of the groundwaters is suitable for drinking and irrigation purposes except for a few sites at the northwestern part of the study area. The WQI results revealed that 7% and 64% of samples fall from excellent to good classes for drinking categories. Irrigation indices also demonstrated that 80% of samples fall in good classes for irrigation purposes. About 75 percent of samples belong to Ca–Mg-HCO3 facies, and the reaming samples belong to Ca–Mg–Cl facies. The results of the study concluded that the proposed approach is reliable and efficient for the groundwater pollution status evaluation and can also be applied in decision making for effective groundwater resources monitoring in the study area.

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