DRINKING WATER QUALITY CHARACTERISTICS OF BORE WELL WATER IN PULICAT VILLAGE, THIRUVALLUR DISTRICT, TAMIL NADU

2020 ◽  
Vol 7 (11) ◽  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Tamil Nadu ◽  
Quality Characteristics ◽  
Drinking Water Quality ◽  
Well Water ◽  
Bore Well

Assessment of drinking water quality characteristics and quality index of Rajshahi city, Bangladesh

2019 ◽  
Vol 22 (5) ◽  
pp. 3957-3971
Author(s):  
Md. Ferozur Rahaman ◽  
Md. Shamser Ali ◽  
Riad Arefin ◽  
Quamrul Hasan Mazumder ◽  
Ratan Kumar Majumder ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Quality Index ◽  
Quality Characteristics ◽  
Drinking Water Quality ◽  
Rajshahi City

Assessment and Recurrence of Kidney Stones Through Optimized Machine Learning Tree Classifiers Using Dietary Water Quality Parameters and Patient’s History

2020 ◽  
Vol 12 (10) ◽  
pp. 1219-1223
Author(s):  
B. Kavitha ◽  
P. Parthiban ◽  
M. Goel ◽  
K. Ravikumar ◽  
A. Das ◽  
...  
Keyword(s):  
Machine Learning ◽  
Water Quality ◽  
Drinking Water ◽  
Kidney Stone ◽  
Tamil Nadu ◽  
Medical Information ◽  
Dietary Habits ◽  
Threshold Value ◽  
Drinking Water Quality ◽  
Stone Recurrence

Kidney stone disease is a result of combination of food items consuming, drinking water quality and genetic heritability, which has been observed to be more prone (both occurrence and recurrence) to certain geographic regimes as Thanjavur suburbs of Tamil Nadu in southern India. The research carried out involves collection of medical information of Kidneystone patients of the study area and survey of their dietary habits including drinking water quality (through laboratory study), selection of suitable classifier to model the Kidney stone recurrence with the most contributing of 22 parameters (with due model evaluation). Weka (3.8.1) machine learning framework was used for the study, for evaluating the model accuracy of 66 classifiers, resulting 22 classifiers with accuracy higher than ZeroR, which was considered to be the benchmark. Based on this study, C-4.5 classifier (called J48 in Weka) was found to be most robust classifier, based on accuracy, precision, Recall, F-Measure, MCC, ROC Area and PRC Area. The selected classifiers were again evaluated based on domain conformance (namely, literature, logic and consistency) to obtain four validated classifiers, thereby providing seven parameters and their threshold value for kidney stone recurrence, namely, family history (Yes), Sulphate (>17ppm), potassium (>74 ppm), nitrate (>1.2 ppm), salinity (>120 ppm), conductivity (<=289 ppm) and water consumption (moderate).

scholarly journals Tannery Wastewater affects the Drinking Water Quality and Heavy Metals in the Palar River Water Pollution in Vellore District Tamil Nadu

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
A Xavier Susairaj
Keyword(s):  
Water Pollution ◽  
Heavy Metals ◽  
Water Quality ◽  
Drinking Water ◽  
Tamil Nadu ◽  
Sampling Technique ◽  
Drinking Water Quality ◽  
Primary Data ◽  
The People

A large number of chemicals are used in the tanneries to convert the rawhide into finished leather. The chemicals used by the tanneries are ends in wastewater. This wastewater is dumped into nearby rivers and canals that create water pollution heavy metals in the water. The aim of this process is to access the chemicals used in the tannery industry post tanning process and to evaluate the drinking water quality of the wastewater released by the tanneries in the Palar river basin in Vellore district Tamil Nadu. To analyze the perception of the people in the study area affected by health due to wastewater from the tanneries. This study was performed as a cases study of the current drinking water sources used by households and how they perceive the quality of water. The second objective is to analyze the relationship between water quality and health hazards among households in the Vellore district. Primary data was collected from the respondents with the help of a questionnaire, total sample size of the respondent was 500, multistage random sampling technique was used to collect the data with the help of questioner method, the descriptive and statistical tools were used to analyse the data with SPSS and R statistical packages. The result shows that the people in the river basing suggested controlling the wastewater for the tanneries, and they demanded compensation from the tanneries. Finally, to suggest policy measures to control the water pollution in the study area.

Sign in / Sign up

Export Citation Format

Share Document