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Research paper thumbnail of Ground Water Quality and Its Impact on Human Health in Dungarpur District of Rajasthan, India

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Dec 12, 2023

Dungarpur, one of the most backward districts of India, is a predominantly tribal region of Rajas... more Dungarpur, one of the most backward districts of India, is a predominantly tribal region of Rajasthan state. Ground water is the major source of drinking water in the region. High concentrations of Fluoride (F) and Iron (Fe) have been reported in the region which poses high risk of rampant water-borne diseases. This study evaluates the ground water quality for drinking purpose in terms of 10 hydro-geochemical and two biological parameters in context of causative factors like land use and geology of the region. The occurrence of water borne diseases in resident population has been examined in association with quality of drinking water and priority areas for policy intervention have been identified. Water samples have been collected from 173 drinking water sources and 346 households consuming water from the selected sources have been surveyed for prevalence of water borne diseases. Water quality surfaces have been mapped in terms of F, Total Dissolved Solids (TDS), Hardness, Fe, alkalinity, Faecal Coliform (FC), E. Coli, and Water Quality Index (WQI) computed on the basis of 10 geochemical parameters, using Inverse Distance Weighted (IDW) method. Results reveal that the north-eastern part comprising Aspur, Sabla and part of Sagwara tehsils predominantly has 'very poor' to 'unsuitable' water quality. The western part has excessive faecal contamination. Entire district has high levels of TDS and hardness, while excessive Fe and F occur in specific regions. Disease incidence closely corresponds to the geochemical and microbial composition of water. Higher values of WQI correspond with occurrence of Phyllites and Mica Schists.

Research paper thumbnail of Ground Water Quality and Its Impact on Human Health in Dungarpur District of Rajasthan, India

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Dec 12, 2023

Dungarpur, one of the most backward districts of India, is a predominantly tribal region of Rajas... more Dungarpur, one of the most backward districts of India, is a predominantly tribal region of Rajasthan state. Ground water is the major source of drinking water in the region. High concentrations of Fluoride (F) and Iron (Fe) have been reported in the region which poses high risk of rampant water-borne diseases. This study evaluates the ground water quality for drinking purpose in terms of 10 hydro-geochemical and two biological parameters in context of causative factors like land use and geology of the region. The occurrence of water borne diseases in resident population has been examined in association with quality of drinking water and priority areas for policy intervention have been identified. Water samples have been collected from 173 drinking water sources and 346 households consuming water from the selected sources have been surveyed for prevalence of water borne diseases. Water quality surfaces have been mapped in terms of F, Total Dissolved Solids (TDS), Hardness, Fe, alkalinity, Faecal Coliform (FC), E. Coli, and Water Quality Index (WQI) computed on the basis of 10 geochemical parameters, using Inverse Distance Weighted (IDW) method. Results reveal that the north-eastern part comprising Aspur, Sabla and part of Sagwara tehsils predominantly has 'very poor' to 'unsuitable' water quality. The western part has excessive faecal contamination. Entire district has high levels of TDS and hardness, while excessive Fe and F occur in specific regions. Disease incidence closely corresponds to the geochemical and microbial composition of water. Higher values of WQI correspond with occurrence of Phyllites and Mica Schists.

Research paper thumbnail of Geospatial Analysis of Spatial Variability of Groundwater Quality Using Ordinary Kriging: A Case Study of Dungarpur Tehsil, Rajasthan, India

Journal of Geomatics

Groundwater is one the major sources of natural water being exploited excessively for various use... more Groundwater is one the major sources of natural water being exploited excessively for various uses in India. Thus, it is very essential to monitor the spatial and temporal variability of groundwater quality. Geo-Statistical Interpolation using GIS has been considered as the best and most advanced method for the interpolation and prediction studies of groundwater pollution and quality, and is adopted universally. In this paper, ordinary Kriging with logarithmic data transformation has been used to interpolate and predict the spatial variation of groundwater quality parameters - EC, TDS, pH, Na+, Ca2+, Bi-Carbonate, Fluoride, Chloride, Sulphate and Nitrate using data pertaining to 48 well locations in the Dungarpur tehsil. Data was transformed and normalized using Logarithmic Transformation Method and Semivariograms were drawn and analyzed for selecting the suitable model. The best Semivariogram model was obtained based upon cross validation and on the lesser RMSE criterion and Coeffi...

Research paper thumbnail of Rwre–A Web Based Open Source Gis Tool for Roof Water Runoff Estimation

Journal of Rural Development

In rural areas of low rainfall, roof top rainwater harvesting is an ideal method for collecting r... more In rural areas of low rainfall, roof top rainwater harvesting is an ideal method for collecting rainwater because it helps not only in meeting at least a part of the water requirement but also prevents storm runoff and flooding during heavy rains. Individual houses and buildings are the best units for collecting the roof water. In this work an interactive web-based GIS tool named RWRE (Roof Water Runoff Estimator) has been developed to estimate the runoff from the rooftops of the buildings. REWE tool was designed using open source geospatial development tools like Geoserver and OpenLayers. The developed tool provides a polygon drawing tool to delineate the rooftop of individual buildings. The area of rooftop of each building is listed. The runoff coefficient for each building is also taken as input. The annual average rainfall is required to calculate the total amount of water available from the rooftops of all the delineated buildings. For the testing and development of RWRE, the municipal area of Bhopal city of Madhya Pradesh was taken. This tool can be configured to be used for any rural or other area and can be of great help in planning and designing of the roof water harvesting structures as it quickly and accurately estimates the volume of water available from the buildings.

Research paper thumbnail of Ground Water Quality and Its Impact on Human Health in Dungarpur District of Rajasthan, India

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Dec 12, 2023

Dungarpur, one of the most backward districts of India, is a predominantly tribal region of Rajas... more Dungarpur, one of the most backward districts of India, is a predominantly tribal region of Rajasthan state. Ground water is the major source of drinking water in the region. High concentrations of Fluoride (F) and Iron (Fe) have been reported in the region which poses high risk of rampant water-borne diseases. This study evaluates the ground water quality for drinking purpose in terms of 10 hydro-geochemical and two biological parameters in context of causative factors like land use and geology of the region. The occurrence of water borne diseases in resident population has been examined in association with quality of drinking water and priority areas for policy intervention have been identified. Water samples have been collected from 173 drinking water sources and 346 households consuming water from the selected sources have been surveyed for prevalence of water borne diseases. Water quality surfaces have been mapped in terms of F, Total Dissolved Solids (TDS), Hardness, Fe, alkalinity, Faecal Coliform (FC), E. Coli, and Water Quality Index (WQI) computed on the basis of 10 geochemical parameters, using Inverse Distance Weighted (IDW) method. Results reveal that the north-eastern part comprising Aspur, Sabla and part of Sagwara tehsils predominantly has 'very poor' to 'unsuitable' water quality. The western part has excessive faecal contamination. Entire district has high levels of TDS and hardness, while excessive Fe and F occur in specific regions. Disease incidence closely corresponds to the geochemical and microbial composition of water. Higher values of WQI correspond with occurrence of Phyllites and Mica Schists.

Research paper thumbnail of Ground Water Quality and Its Impact on Human Health in Dungarpur District of Rajasthan, India

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Dec 12, 2023

Dungarpur, one of the most backward districts of India, is a predominantly tribal region of Rajas... more Dungarpur, one of the most backward districts of India, is a predominantly tribal region of Rajasthan state. Ground water is the major source of drinking water in the region. High concentrations of Fluoride (F) and Iron (Fe) have been reported in the region which poses high risk of rampant water-borne diseases. This study evaluates the ground water quality for drinking purpose in terms of 10 hydro-geochemical and two biological parameters in context of causative factors like land use and geology of the region. The occurrence of water borne diseases in resident population has been examined in association with quality of drinking water and priority areas for policy intervention have been identified. Water samples have been collected from 173 drinking water sources and 346 households consuming water from the selected sources have been surveyed for prevalence of water borne diseases. Water quality surfaces have been mapped in terms of F, Total Dissolved Solids (TDS), Hardness, Fe, alkalinity, Faecal Coliform (FC), E. Coli, and Water Quality Index (WQI) computed on the basis of 10 geochemical parameters, using Inverse Distance Weighted (IDW) method. Results reveal that the north-eastern part comprising Aspur, Sabla and part of Sagwara tehsils predominantly has 'very poor' to 'unsuitable' water quality. The western part has excessive faecal contamination. Entire district has high levels of TDS and hardness, while excessive Fe and F occur in specific regions. Disease incidence closely corresponds to the geochemical and microbial composition of water. Higher values of WQI correspond with occurrence of Phyllites and Mica Schists.

Research paper thumbnail of Geospatial Analysis of Spatial Variability of Groundwater Quality Using Ordinary Kriging: A Case Study of Dungarpur Tehsil, Rajasthan, India

Journal of Geomatics

Groundwater is one the major sources of natural water being exploited excessively for various use... more Groundwater is one the major sources of natural water being exploited excessively for various uses in India. Thus, it is very essential to monitor the spatial and temporal variability of groundwater quality. Geo-Statistical Interpolation using GIS has been considered as the best and most advanced method for the interpolation and prediction studies of groundwater pollution and quality, and is adopted universally. In this paper, ordinary Kriging with logarithmic data transformation has been used to interpolate and predict the spatial variation of groundwater quality parameters - EC, TDS, pH, Na+, Ca2+, Bi-Carbonate, Fluoride, Chloride, Sulphate and Nitrate using data pertaining to 48 well locations in the Dungarpur tehsil. Data was transformed and normalized using Logarithmic Transformation Method and Semivariograms were drawn and analyzed for selecting the suitable model. The best Semivariogram model was obtained based upon cross validation and on the lesser RMSE criterion and Coeffi...

Research paper thumbnail of Rwre–A Web Based Open Source Gis Tool for Roof Water Runoff Estimation

Journal of Rural Development

In rural areas of low rainfall, roof top rainwater harvesting is an ideal method for collecting r... more In rural areas of low rainfall, roof top rainwater harvesting is an ideal method for collecting rainwater because it helps not only in meeting at least a part of the water requirement but also prevents storm runoff and flooding during heavy rains. Individual houses and buildings are the best units for collecting the roof water. In this work an interactive web-based GIS tool named RWRE (Roof Water Runoff Estimator) has been developed to estimate the runoff from the rooftops of the buildings. REWE tool was designed using open source geospatial development tools like Geoserver and OpenLayers. The developed tool provides a polygon drawing tool to delineate the rooftop of individual buildings. The area of rooftop of each building is listed. The runoff coefficient for each building is also taken as input. The annual average rainfall is required to calculate the total amount of water available from the rooftops of all the delineated buildings. For the testing and development of RWRE, the municipal area of Bhopal city of Madhya Pradesh was taken. This tool can be configured to be used for any rural or other area and can be of great help in planning and designing of the roof water harvesting structures as it quickly and accurately estimates the volume of water available from the buildings.