Controlling factors and mechanism of groundwater quality variation in semiarid region of South India: an approach of water quality index (WQI) and health risk assessment (HRA)

2019 ◽  
Vol 42 (6) ◽  
pp. 1725-1752 ◽  
Author(s):  
Narsimha Adimalla
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Health Risk ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
South India ◽  
Controlling Factors ◽  
Semiarid Region ◽  
Quality Variation

scholarly journals Identification of the Hydrogeochemical Processes and Assessment of Groundwater Quality, Using Multivariate Statistical Approaches and Water Quality Index in a Wastewater Irrigated Region

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1702 ◽  
Author(s):  
Ana Elizabeth Marín Celestino ◽  
José Alfredo Ramos Leal ◽  
Diego Armando Martínez Cruz ◽  
José Tuxpan Vargas ◽  
Josue De Lara Bashulto ◽  
...  
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Wastewater Irrigation ◽  
Hydrogeochemical Processes ◽  
Semiarid Region ◽  
Drinking Purposes ◽  
The Impact ◽  
Cluster 2

Groundwater quality and availability are essential for human consumption and social and economic activities in arid and semiarid regions. Many developing countries use wastewater for irrigation, which has in most cases led to groundwater pollution. The Mezquital Valley, a semiarid region in central Mexico, is the largest agricultural irrigation region in the world, and it has relied on wastewater from Mexico City for over 100 years. Limited research has been conducted on the impact of irrigation practices on groundwater quality on the Mezquital Valley. In this study, 31 drinking water wells were sampled. Groundwater quality was determined using the water quality index (WQI) for drinking purposes. The hydrogeochemical process and the spatial variability of groundwater quality were analyzed using principal component analysis (PCA) and K-means clustering multivariate geostatistical tools. This study highlights the value of combining various approaches, such as multivariate geostatistical methods and WQI, for the identification of hydrogeochemical processes in the evolution of groundwater in a wastewater irrigated region. The PCA results revealed that salinization and pollution (wastewater irrigation and fertilizers) followed by geogenic sources (dissolution of carbonates) have a significant effect on groundwater quality. Groundwater quality evolution was grouped into cluster 1 and cluster 2, which were classified as unsuitable (low quality) and suitable (acceptable quality) for drinking purposes, respectively. Cluster 1 is located in wastewater irrigated zones, urban areas, and the surroundings of the Tula River. Cluster 2 locations are found in recharge zones, rural settlements, and seasonal agricultural fields. The results of this study strongly suggest that water management strategies that include a groundwater monitoring plan, as well as research-based wastewater irrigation regulations, in the Mezquital Valley are warranted.

scholarly journals Assessing groundwater quality using water quality index in semiarid region of Aurangabad district, central India

2020 ◽  
Vol 8 (2) ◽  
pp. 249
Author(s):  
K. R. Aher ◽  
P. L. Salve ◽  
S. G. Gaikwad
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Central India ◽  
Quality Parameter ◽  
Total Hardness ◽  
Semiarid Region ◽  
Geochemical Parameters ◽  
Groundwater Samples

This paper presents a study on the influence of geochemical parameters on groundwater quality in GV-35 watershed of Aurangabad district, Maharashtra, India. Groundwater samples were collected from different locations and their physiochemical quality parameter were analysed. Water quality index (WQI) was determined on the basis of various physical and chemical parameters like pH, electrical conductivity, turbidity, total dissolved solids, total hardness, calcium, magnesium, sulphate, chloride, nitrate, sodium, potassium, carbonate, bicarbonate, fluoride and iron. These parameters were determined for the calculation of water quality index (WQI). During pre-monsoon, 4% of groundwater samples were excellent, 65% were good; 26 % were poor; and 4% were unsuitable for domestic suitability, whereas in post-monsoon, 65% of water samples were good; 26% were poor; 4% were very poor and 4% were unsuitable for domestic suitability .    

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