Correlation, Regression Analysis, and Spatial Distribution Mapping of WQI for an Urban Lake in Noyyal River Basin in the Textile Capital of India

Nowadays, the major threat to humans occurs due to water quality deterioration. The quality of water creates a new sign for the public to prevent them from waterborne diseases. This study uses sensitive water quality parameters obtained from the northeast monsoon season, October 2021, at different l...

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Bibliographic Details
Published in:Advances in materials science and engineering 2022, Vol.2022, p.1-10
Main Authors: Ashwin, K. R. N, Arulmozhi, S., Gopalan, A., Mageshkumar, P., Rangaraj, A., Panneerselvam, Mukesh, Nirmala Devi, B., Aravindhan, C., Prasath, E., David Ladu, Nyagong Santino
Format: Article
Language:English
Subjects:
Chemical elements
Cluster analysis
Datasets
Drinking water
Eutrophication
Groundwater
Interpolation
Irrigation
Irrigation water
Mapping
Mathematical analysis
Monsoons
Parameter sensitivity
Pollutants
Principal components analysis
Regression analysis
River basins
Rivers
Spatial distribution
Surface water
Water quality
Waterborne diseases
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Summary:Nowadays, the major threat to humans occurs due to water quality deterioration. The quality of water creates a new sign for the public to prevent them from waterborne diseases. This study uses sensitive water quality parameters obtained from the northeast monsoon season, October 2021, at different locations in Mooli Kulam lake (11°07′17.6″ N, 77°22′59.9″ E) of Tiruppur District, Tamil Nadu, India. The parameters considered for the analysis of lake water quality are closely included with drinking and irrigation parameters. The northeast monsoon samples collected from the lake were analysed and the Water Quality Indexing was applied to the dataset using three methods, namely, the Weight Arithmetic method, the Canadian Council of Ministers of the Environment, and Horton’s method. The parameters are divided into drinking water variables and irrigation water variables. This study includes water quality index mapping using Inverse Distance Weighting interpolation of the spatial distribution method using ArcMap 10.8. The dataset was subjected to correlation and regression analysis in order to determine the most significant pollutant. A total of 10 sampling stations and 23 water quality parameters have been analysed. The results obtained show that the lake has high eutrophication with compounds of potassium, iron, and nitrates.
ISSN:1687-8434
1687-8442
DOI:10.1155/2022/3402951