scholarly journals Spatial and temporal assessment of groundwater quality and hydrogeochemical processes in Urmia Lake Basin, Iran

2021 ◽  
Author(s):  
Mohammadreza Pashaeifar ◽  
Reza Dehghanzadeh ◽  
Mohammad Ebrahim Ramazani ◽  
Omid Rafieyan ◽  
Arezoo Nejaei
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Statistical Analyses ◽  
Urmia Lake ◽  
Hydrogeochemical Processes ◽  
Anthropogenic Sources ◽  
Total Hardness ◽  
Lake Basin ◽  
Urmia Lake Basin ◽  
Temporal Assessment

Abstract The evaluation of groundwater quality and geochemistry have an important role in the management of water resources in arid and semi-arid regions. In the present study, the spatio-temporal assessment of groundwater quality and hydrogeochemical processes, as well as, statistical analyses in the Azarshahr and Ajabshir planes located in the Urmia Lake basin were investigated. The results revealed that within six years (from 2014 to 2019), the value of total hardness was higher than the permissible level and the quality of groundwater for drinking was very hard and fresh in both planes. In 2019, 84 and 67% of the samples fell within the range of good to poor groundwater quality in the Azarshahr and Ajabshir planes, respectively. The temporal assessment with the help of water quality index values for both planes revealed a good groundwater quality for the Azarshahr plane and a good to poor groundwater quality for the Ajabshir plane. However, deterioration of water quality was observed in both planes from 2014 to 2019. The level of water quality for irrigation was better in the Azarshahr plane than in the Ajabshir plane, due to the presence of fewer salty sites. In addition, Ca–Mg–HCO3 and rock dominance were identified as hydrochemical facies and controlling factor in the groundwater of both planes, respectively. Multivariate statistical analyses indicated both natural and anthropogenic sources (such as weathering, fertilizers, and wastewater) for hydrochemical parameters. It was suggested to develop a comprehensive regulation to control the entry of pollutants into the groundwater of the study area.

scholarly journals Groundwater quality assessment using water quality index (WQI) under GIS framework

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Arjun Ram ◽  
S. K. Tiwari ◽  
H. K. Pandey ◽  
Abhishek Kumar Chaurasia ◽  
Supriya Singh ◽  
...  
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Uttar Pradesh ◽  
Granite Gneiss ◽  
Total Hardness ◽  
Human Consumption ◽  
Anthropogenic Contamination ◽  
Quality Of Water

AbstractGroundwater is an important source for drinking water supply in hard rock terrain of Bundelkhand massif particularly in District Mahoba, Uttar Pradesh, India. An attempt has been made in this work to understand the suitability of groundwater for human consumption. The parameters like pH, electrical conductivity, total dissolved solids, alkalinity, total hardness, calcium, magnesium, sodium, potassium, bicarbonate, sulfate, chloride, fluoride, nitrate, copper, manganese, silver, zinc, iron and nickel were analysed to estimate the groundwater quality. The water quality index (WQI) has been applied to categorize the water quality viz: excellent, good, poor, etc. which is quite useful to infer the quality of water to the people and policy makers in the concerned area. The WQI in the study area ranges from 4.75 to 115.93. The overall WQI in the study area indicates that the groundwater is safe and potable except few localized pockets in Charkhari and Jaitpur Blocks. The Hill-Piper Trilinear diagram reveals that the groundwater of the study area falls under Na+-Cl−, mixed Ca2+-Mg2+-Cl− and Ca2+-$${\text{HCO}}_{3}^{ - }$$ HCO 3 - types. The granite-gneiss contains orthoclase feldspar and biotite minerals which after weathering yields bicarbonate and chloride rich groundwater. The correlation matrix has been created and analysed to observe their significant impetus on the assessment of groundwater quality. The current study suggests that the groundwater of the area under deteriorated water quality needs treatment before consumption and also to be protected from the perils of geogenic/anthropogenic contamination.

Application of Satellite Remote Sensing for Estimation of Dust Emission Probability in the Urmia Lake Basin in Iran

2019 ◽  
Vol 83 (4) ◽  
pp. 993-1002 ◽  
Author(s):  
Mohaddese Effati ◽  
Hossien‐Ali Bahrami ◽  
Mohammad Gohardoust ◽  
Ebrahim Babaeian ◽  
Markus Tuller
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Dust Emission ◽  
Emission Probability ◽  
Urmia Lake ◽  
Lake Basin ◽  
Urmia Lake Basin

scholarly journals Evaluation of Groundwater Quality in the Vicinity of Khurrianwala Industrial Zone, Pakistan

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1321 ◽  
Author(s):  
Muhammad Aleem ◽  
Cao Shun ◽  
Chao Li ◽  
Arslan Aslam ◽  
Wu Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Anthropogenic Activities ◽  
World Health ◽  
Total Hardness ◽  
Industrial Zone ◽  
High Concentration ◽  
Physico Chemical ◽  
Health Organization ◽  
National Environmental

The industrial augmentation and unguided anthropogenic activities contaminate water sources in most parts of the world especially in developing countries like Pakistan. High concentration of pollutants in groundwater affects human, soil, and crop health badly. The present study was conducted to investigate groundwater quality for drinking and irrigation purposes in an industrial zone of Pakistan. A GIS tool was used to investigate the spatial distribution of different physico-chemical parameters. In this study, the average results exceeding World Health Organization (WHO) and National Environmental Quality Standards (NEQS) were found for pH 7.84, total dissolved solids (TDS) 1492 mg/L, phosphate 0.51 mg/L, dissolved oxygen (DO) 9.92% saturation, F-coli 6.48 colonies/100 mL, Na+ 366 mg/L, HCO3− 771 mg/L, sulfate 251 mg/L, chlorides 427 mg/L, total hardness (as CaCO3) 292 mg/L, electrical conductivity (EC) 2408 μS/cm, iron (Fe) 0.48 mg/L, chrome (Cr) 0.50 mg/L, arsenic (As) 0.04 mg/L, total phosphorus (TP) 0.17 mg/L, sodium adsorption ratio (SAR) 9.76 (in meq/L), residual sodium carbonate (RSC) 9.28 meq/L, % ion balance 14.4 (in meq/L), percentage sodium ion (% Na+) concentration 58.9 meq/L, and water quality index (WQI) 69.0. The trend of cations and anions were (in meq/L) Na > Mg > Ca > K and HCO3 > Cl > CO3 > SO4 respectively. Although the results of the present study showed poor conditions of the groundwater for drinking as WQI but and irrigation purposes as SAR, it needs to improve some more conditions for the provision of safe drinking water and irrigation water quality.

Water level instability analysis of Urmia Lake Basin in the northwest of Iran

2020 ◽  
Vol 13 (4) ◽  
Author(s):  
Fatemeh Bashirian ◽  
Dariush Rahimi ◽  
Saeed Movahedi ◽  
Reza Zakerinejad
Keyword(s):  
Water Level ◽  
Urmia Lake ◽  
Lake Basin ◽  
Instability Analysis ◽  
Northwest Of Iran ◽  
Urmia Lake Basin

scholarly journals EVALUATION GROUNDWATER QUALITY BY USING GIS AND WATER QUALITY INDEX TECHNIQUES FOR WELLS IN BARDARASH AREA, NORTHERN IRAQ

2020 ◽  
Vol 53 (2C) ◽  
pp. 87-104
Author(s):  
Kaiwan Fatah
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Total Alkalinity ◽  
Total Hardness ◽  
Chemical Parameters ◽  
Alternative Source ◽  
Distribution Maps ◽  
Poor Water Quality

Studying groundwater quality in arid and semi-arid regions is essential significant because it is used as a foremost alternative source for various purposes (human and animal consumption, economic, agriculture and irrigation). Geographic Information System and Water Quality Index techniques were utilized for visualizing and evaluating the variations of groundwater quality in the studied area. Total twelve wells were sampled and twelve groundwater quality (chemical) parameters; pH, Total Alkalinity, Total Hardness (TH), Total Dissolved Solid (TDS), Electrical Conductivity (Ec), Potassium (K), Nitrate (NO3), Sulfate (SO4), Chloride (Cl), Calcium (Ca), Magnesium (Mg) and Sodium (Na) were analyzed in the laboratory. Inverse Distance Weighted technique was used as a useful tool to create and anticipate spatial variation maps of the chemical parameters. Predicting or anticipating other areas not measured, identifying them and making use of them in the future without examining samples. The results of this research showed that 8.3% of the studied wells have excellent groundwater quality, and almost sampling wells about 75% found in good groundwater quality, while findings of groundwater quality of 16.7% studied wells belong to poor water quality due to standards of Water Quality Index. Moreover, spatial analysis in term of groundwater quality map showed that Excellent groundwater quality was detected in well 3, very good groundwater potential was noticed in six studied wells (wells 2, 6, 8, 10, 11 and 12), and other sampling wells (wells 4 and 7) were observed as good groundwater quality, while poor water quality was observed in wells (well 1 and 5). Hence, spatial distribution maps showed that the almost groundwater quality in the area about 1046.82 km² (99.04%) are suitable for drinking purpose, whereas proximate 10.18 km² (0.96%) are observed as poor water quality and inappropriate for consumptions especially in the southern part of the area.

Spatial clustering of maximum 24-h rainfall over Urmia Lake Basin by new weighting approaches

2017 ◽  
Vol 38 (5) ◽  
pp. 2298-2313 ◽  
Author(s):  
Zohreh Dehghan ◽  
Seyed Saeid Eslamian ◽  
Reza Modarres
Keyword(s):  
Spatial Clustering ◽  
Urmia Lake ◽  
Lake Basin ◽  
Urmia Lake Basin
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