Spatio‐Temporal Variations in Water Quality of Muttukadu Backwaters, Tamilnadu, India. (1st July 2013)
- Record Type:
- Journal Article
- Title:
- Spatio‐Temporal Variations in Water Quality of Muttukadu Backwaters, Tamilnadu, India. (1st July 2013)
- Main Title:
- Spatio‐Temporal Variations in Water Quality of Muttukadu Backwaters, Tamilnadu, India
- Authors:
- Srinivasan, Kalpana
Natesan, Usha - Abstract:
- ABSTRACT: : Muttukadu Backwater, located on the east coast of Tamilnadu, is one of healthiest estuarine environments in the region. A study pertaining to seasonal variations in physico‐chemical properties in water was conducted at nine sites of Muttukadu Backwater for a period of one year (January to December 2009). Multivariate statistical techniques, such as cluster analysis and principal component analysis (PCA), were applied to evaluate the variation in water quality of Muttukadu Backwater and to identify pollution sources. In order to analyze water quality, a geographic information systems (GIS) software package, Arc GIS version 9.3, was used (Esri, Redlands, California). An interpolation technique, inverse distance weighting, was used to produce the spatial distribution of water quality parameters over the backwater. The purpose of the technique was to aid in protection of the environment and ecology of the estuary and aid in effective management. In the present study, observed values of salinity, nitrite, nitrate, ammonia, total nitrogen, phosphate, and silicate were significantly high in the estuarine zone. PCA resulted in three factors explaining 75.9% of the total variance. Principal component 1 exhibited a high correlation with significant physico‐chemical variables representing the influence of tidal action and sandbar formation. Principal component 2 represented natural pollution as a result of surface runoff. Principal component 3 represented natural pollutionABSTRACT: : Muttukadu Backwater, located on the east coast of Tamilnadu, is one of healthiest estuarine environments in the region. A study pertaining to seasonal variations in physico‐chemical properties in water was conducted at nine sites of Muttukadu Backwater for a period of one year (January to December 2009). Multivariate statistical techniques, such as cluster analysis and principal component analysis (PCA), were applied to evaluate the variation in water quality of Muttukadu Backwater and to identify pollution sources. In order to analyze water quality, a geographic information systems (GIS) software package, Arc GIS version 9.3, was used (Esri, Redlands, California). An interpolation technique, inverse distance weighting, was used to produce the spatial distribution of water quality parameters over the backwater. The purpose of the technique was to aid in protection of the environment and ecology of the estuary and aid in effective management. In the present study, observed values of salinity, nitrite, nitrate, ammonia, total nitrogen, phosphate, and silicate were significantly high in the estuarine zone. PCA resulted in three factors explaining 75.9% of the total variance. Principal component 1 exhibited a high correlation with significant physico‐chemical variables representing the influence of tidal action and sandbar formation. Principal component 2 represented natural pollution as a result of surface runoff. Principal component 3 represented natural pollution as a result of nutrient pollution. … (more)
- Is Part Of:
- Water environment research. Volume 85:Number 7(2013)
- Journal:
- Water environment research
- Issue:
- Volume 85:Number 7(2013)
- Issue Display:
- Volume 85, Issue 7 (2013)
- Year:
- 2013
- Volume:
- 85
- Issue:
- 7
- Issue Sort Value:
- 2013-0085-0007-0000
- Page Start:
- 587
- Page End:
- 595
- Publication Date:
- 2013-07-01
- Subjects:
- estuary -- dissolved nutrients -- cluster analysis -- principal component analysis
Water quality management -- Periodicals
Water -- Purification -- Periodicals
Water -- Pollution -- Periodicals
Water -- Pollution
Water -- Purification
Water quality management
Sewage
Water Pollution
Periodicals
Electronic journals
Periodicals
628.16 - Journal URLs:
- https://onlinelibrary.wiley.com/journal/15547531 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.2175/106143012X13560205144812 ↗
- Languages:
- English
- ISSNs:
- 1061-4303
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9270.004600
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British Library HMNTS - ELD Digital store - Ingest File:
- 10174.xml