Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniques

Noyyal River is an important river that flows through the districts of Coimbatore, Tirupur, and Erode in Tamil Nadu, India. This river is the prime source of water for agricultural and domestic purposes in the above districts. This study evaluates the surface water quality of the Noyyal river and it...

Full description

Bibliographic Details
Main Authors: Abirami Subramanian, Sushmitha Baskar
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Water Science
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/23570008.2022.2129146
_version_ 1811194529423818752
author Abirami Subramanian
Sushmitha Baskar
author_facet Abirami Subramanian
Sushmitha Baskar
author_sort Abirami Subramanian
collection DOAJ
description Noyyal River is an important river that flows through the districts of Coimbatore, Tirupur, and Erode in Tamil Nadu, India. This river is the prime source of water for agricultural and domestic purposes in the above districts. This study evaluates the surface water quality of the Noyyal river and its suitability for drinking and agricultural uses. For this study, samples were collected from 27 locations along the Noyyal river from its source to sink. The water quality index (WQI) values were designated and, except for two samples out of 27, all the other samples were categorized as poor, very poor, and unfit for consumption. The parameters evaluated to assess the water quality of the Noyyal river for irrigation include Electrical conductivity (EC), Sodium adsorption ratio (SAR), Soluble sodium percentage (SSP), Residual sodium carbonate (RSC), Magnesium hazard (MH), Kelly’s ratio (KR), and Permeability index (PI). USSL (U.S. Salinity Laboratory) diagram analysis helped to classify the samples 1 and 2 of the Noyyal river in the C1S1 and C2S1 category, which indicates low salinity-low sodium and medium salinity-low sodium, respectively. The rest of the samples fall under the category of very high salinity and very high sodium waters. Other indices like RSC, magnesium hazard, soluble sodium percentage, Kelly’s ratio, and permeability index signified that majority of the collected samples fall in the category of unsuitable for agricultural use and they need special management practices. The Principle component analysis determined the four PCs that explained 84.88% of the total variance in the data structure. The present study concludes that we cannot use the surface water of the Noyyal river directly without treatment and strict management practices should be implemented for the sustainable use of the resource.
first_indexed 2024-04-12T00:28:40Z
format Article
id doaj.art-74ceb7d0a682446ca17050a6b3ce6713
institution Directory Open Access Journal
issn 2357-0008
language English
last_indexed 2024-04-12T00:28:40Z
publishDate 2022-12-01
publisher Taylor & Francis Group
record_format Article
series Water Science
spelling doaj.art-74ceb7d0a682446ca17050a6b3ce67132022-12-22T03:55:26ZengTaylor & Francis GroupWater Science2357-00082022-12-01361859810.1080/23570008.2022.2129146Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniquesAbirami Subramanian0Sushmitha Baskar1Environmental Studies, School of Interdisciplinary and Transdisciplinary Studies (SOITS), Indira Gandhi National Open University (IGNOU), Maidan Garhi, New Delhi 110068, IndiaEnvironmental Studies, School of Interdisciplinary and Transdisciplinary Studies (SOITS), Indira Gandhi National Open University (IGNOU), Maidan Garhi, New Delhi 110068, IndiaNoyyal River is an important river that flows through the districts of Coimbatore, Tirupur, and Erode in Tamil Nadu, India. This river is the prime source of water for agricultural and domestic purposes in the above districts. This study evaluates the surface water quality of the Noyyal river and its suitability for drinking and agricultural uses. For this study, samples were collected from 27 locations along the Noyyal river from its source to sink. The water quality index (WQI) values were designated and, except for two samples out of 27, all the other samples were categorized as poor, very poor, and unfit for consumption. The parameters evaluated to assess the water quality of the Noyyal river for irrigation include Electrical conductivity (EC), Sodium adsorption ratio (SAR), Soluble sodium percentage (SSP), Residual sodium carbonate (RSC), Magnesium hazard (MH), Kelly’s ratio (KR), and Permeability index (PI). USSL (U.S. Salinity Laboratory) diagram analysis helped to classify the samples 1 and 2 of the Noyyal river in the C1S1 and C2S1 category, which indicates low salinity-low sodium and medium salinity-low sodium, respectively. The rest of the samples fall under the category of very high salinity and very high sodium waters. Other indices like RSC, magnesium hazard, soluble sodium percentage, Kelly’s ratio, and permeability index signified that majority of the collected samples fall in the category of unsuitable for agricultural use and they need special management practices. The Principle component analysis determined the four PCs that explained 84.88% of the total variance in the data structure. The present study concludes that we cannot use the surface water of the Noyyal river directly without treatment and strict management practices should be implemented for the sustainable use of the resource.https://www.tandfonline.com/doi/10.1080/23570008.2022.2129146Correlation matrixdrinking water qualityirrigation water qualityNoyyal riverprinciple component analysis
spellingShingle Abirami Subramanian
Sushmitha Baskar
Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniques
Water Science
Correlation matrix
drinking water quality
irrigation water quality
Noyyal river
principle component analysis
title Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniques
title_full Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniques
title_fullStr Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniques
title_full_unstemmed Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniques
title_short Water quality assessment of Noyyal river using water quality index (WQI) and multivariate statistical techniques
title_sort water quality assessment of noyyal river using water quality index wqi and multivariate statistical techniques
topic Correlation matrix
drinking water quality
irrigation water quality
Noyyal river
principle component analysis
url https://www.tandfonline.com/doi/10.1080/23570008.2022.2129146
work_keys_str_mv AT abiramisubramanian waterqualityassessmentofnoyyalriverusingwaterqualityindexwqiandmultivariatestatisticaltechniques
AT sushmithabaskar waterqualityassessmentofnoyyalriverusingwaterqualityindexwqiandmultivariatestatisticaltechniques