Spatial Distribution of Groundwater Quality Parameters in Amaravathi Region—A GIS and Remote Sensing Approach

Author(s):  
Netaji ◽  
G. N. M. Lavanya ◽  
P. Srinivas ◽  
K. Govind Sourabh ◽  
G. Bhogayya Naidu
2019 ◽  
Vol 19 (5) ◽  
pp. 1480-1490 ◽  
Author(s):  
Akshay Kumar Chaudhry ◽  
Kamal Kumar ◽  
Mohammad Afaq Alam

Abstract The rising population, contamination and mismanagement of groundwater worldwide require sustainable management techniques and strategies to prevent misuse of groundwater resources especially in the semi-arid regions of the world. The aim of the present study is to assess the distribution of contaminants in groundwater at a spatial level by using a geostatistical method, namely ordinary kriging. For this, a physico-chemical parameter data set at 14 sampling locations for a period over 25 years was assessed. Three semi-variogram models, namely exponential, Gaussian and spherical, fitted well for the data set and were cross-validated using predictive statistics. Based on nugget/sill ratio, which characterizes the overall spatial dependence of water quality parameters, it was observed that, apart from nitrate, all the other parameters showed moderate to weak spatial dependence (i.e. total hardness), indicating significant influence of urbanization, fertilization and industrialization. Spatial distribution maps of all the parameters were generated. Concentration of most of the parameters reported high values in the northern region, while silicon dioxide and potassium recorded high values in the southern and central regions of the study area respectively. The study highlighted the depleting groundwater resources in various regions of the study area, indicating that the groundwater quality is in a declining state.


Author(s):  
Chitresh Saraswat ◽  
Pankaj Kumar ◽  
Prashant Bhalani

Achieving water security and availability for all is the main agenda of the UN-Sustainable Development Goals by the year 2030. To achieve the goal of water secure future in rapidly urbanizing cities, the sustainable water supplies are necessary. In the western part of India, the city of Surat is continuously growing and rapidly urbanized, which exerting massive pressure on groundwater water supply to meet increasing water demands. The study adopted the investigative approach, in which a total 33 groundwater samples were collected in and around the city from open, bore and dug wells and hand pumps. The selection of sampling sites was based on the land use signature, areas with a different depth of aquifers and different geological formations. After the hydrogeochemical analysis, the study evaluated the present state of the groundwater quality and determined the spatial distribution of groundwater quality parameters such as hardness, electrical conductivity, Cl −, pH, SO42-, and NO3 −  concentrations. An interpolation technique, known as ordinary kriging, was used to acquire the spatial distribution of parameters of groundwater quality parameters. The result showed that the groundwater quality falls under class I (>25%) and class II (25 to75%) category. The study recommends that the groundwater in the study area is not suitable for potable purposes, especially without any improved onsite water treatment facilities but it is appropriate for the irrigation purposes in City.


2020 ◽  
Author(s):  
PERUMAL KARTHIKEYAN ◽  
Jabar Abdul Bari ◽  
Vennila G

This work deals with the spatial distribution of groundwater quality parameters and their interrelationship in Bhavani Taluk, Erode District, Tami Nadu, India. The present study deals with the suitability of groundwater quality for drinking purpose in Bhavani Taluk, Erode District, India and to determine the spatial distribution groundwater quality parameters by using ArcGIS. The groundwater samples of 53 wells from the study region are collected and are tested in the laboratory to determine the physico-chemical parameters and the obtained results determined the suitability of groundwater for drinking purposes by comparing with WHO standards. From the result, groundwater quality zones were identified as Good (423.10 sq.km), Moderate (155.70 sq.km) and Poor zones (63.18 sq.km) by inverse distance method weighted interpolation techniques from the spatial distribution map using ArcGIS. The study indicates that about half of the groundwater is not suitable for drinking due to by the excessive usage of fertilizers and necessary treatment has to be undertaken before drinking water supply.


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