Monitoring and assessment of a eutrophicated coastal lake using multivariate approaches
Multivariate statistical techniques such as cluster analysis, multidimensional scaling and principal component analysis were applied to evaluate the temporal and spatial variations in water quality data set generated for two years (2008-2010) from six monitoring stations of Veli-Akkulam Lake and com...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
GJESM Publisher
2016-05-01
|
| Series: | Global Journal of Environmental Science and Management |
| Subjects: | |
| Online Access: | http://www.gjesm.net/article_19797_af4e67a70ab41238aaa89dab3f582c42.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832569795024781312 |
|---|---|
| author | U.G. Abhjna |
| author_facet | U.G. Abhjna |
| author_sort | U.G. Abhjna |
| collection | DOAJ |
| description | Multivariate statistical techniques such as cluster analysis, multidimensional scaling and principal component analysis were applied to evaluate the temporal and spatial variations in water quality data set generated for two years (2008-2010) from six monitoring stations of Veli-Akkulam Lake and compared with a regional reference lake Vellayani of south India. Seasonal variations of 14 different physicochemical parameters analyzed were as follows: pH (6.42-7.48), water temperature (26.0-31.28°C), salinity (0.50-26.81 ppt), electrical conductivity (47-20656.31 µs/cm), dissolved oxygen (0.078-7.65 mg/L), free carbon-dioxide (3.8-51.8 mg/L), total hardness (27.20-2166.6 mg/L), total dissolved solids (84.66-4195 mg/L), biochemical oxygen demand (1.57-25.78 mg/L), chemical oxygen demand (5.35-71.14 mg/L), nitrate (0.012-0.321 µg/ml), nitrite (0.24-0.79 µg/ml), phosphate (0.04-5.88 mg/L), and sulfate (0.27-27.8 mg/L). Cluster analysis showed four clusters based on the similarity of water quality characteristics among sampling stations during three different seasons (pre-monsoon, monsoon and post-monsoon). Multidimensional scaling in conjunction with cluster analysis identified four distinct groups of sites with varied water quality conditions such as upstream, transitional and downstream conditions in Veli-Akkulam Lake and a reference condition at Vellayani Lake. Principal Component Analysis showed that Veli-Akkulam Lake was seriously deteriorated in water quality while acceptable water quality conditions were observed at reference lake Vellayani. Thus the present study could estimate the effectiveness of multivariate statistical approaches for assessing water quality conditions in lakes. |
| format | Article |
| id | doaj-art-5065e10b685f4855a49f800ff2e5a0a3 |
| institution | Kabale University |
| issn | 2383-3572 2383-3866 |
| language | English |
| publishDate | 2016-05-01 |
| publisher | GJESM Publisher |
| record_format | Article |
| series | Global Journal of Environmental Science and Management |
| spelling | doaj-art-5065e10b685f4855a49f800ff2e5a0a32025-02-02T19:52:04ZengGJESM PublisherGlobal Journal of Environmental Science and Management2383-35722383-38662016-05-012327528810.7508/gjesm.2016.03.00719797Monitoring and assessment of a eutrophicated coastal lake using multivariate approachesU.G. Abhjna0Department of Aquatic Biology and Fisheries, University of Kerala,Thiruvananthapuram 695581, IndiaMultivariate statistical techniques such as cluster analysis, multidimensional scaling and principal component analysis were applied to evaluate the temporal and spatial variations in water quality data set generated for two years (2008-2010) from six monitoring stations of Veli-Akkulam Lake and compared with a regional reference lake Vellayani of south India. Seasonal variations of 14 different physicochemical parameters analyzed were as follows: pH (6.42-7.48), water temperature (26.0-31.28°C), salinity (0.50-26.81 ppt), electrical conductivity (47-20656.31 µs/cm), dissolved oxygen (0.078-7.65 mg/L), free carbon-dioxide (3.8-51.8 mg/L), total hardness (27.20-2166.6 mg/L), total dissolved solids (84.66-4195 mg/L), biochemical oxygen demand (1.57-25.78 mg/L), chemical oxygen demand (5.35-71.14 mg/L), nitrate (0.012-0.321 µg/ml), nitrite (0.24-0.79 µg/ml), phosphate (0.04-5.88 mg/L), and sulfate (0.27-27.8 mg/L). Cluster analysis showed four clusters based on the similarity of water quality characteristics among sampling stations during three different seasons (pre-monsoon, monsoon and post-monsoon). Multidimensional scaling in conjunction with cluster analysis identified four distinct groups of sites with varied water quality conditions such as upstream, transitional and downstream conditions in Veli-Akkulam Lake and a reference condition at Vellayani Lake. Principal Component Analysis showed that Veli-Akkulam Lake was seriously deteriorated in water quality while acceptable water quality conditions were observed at reference lake Vellayani. Thus the present study could estimate the effectiveness of multivariate statistical approaches for assessing water quality conditions in lakes.http://www.gjesm.net/article_19797_af4e67a70ab41238aaa89dab3f582c42.pdfCluster analysis (CA)Physicochemical parametersPrincipal component analysis (PCA)Multidimensional scaling (MDS). Veli-Akkulam LakeVellayani LakeWater quality |
| spellingShingle | U.G. Abhjna Monitoring and assessment of a eutrophicated coastal lake using multivariate approaches Global Journal of Environmental Science and Management Cluster analysis (CA) Physicochemical parameters Principal component analysis (PCA) Multidimensional scaling (MDS). Veli-Akkulam Lake Vellayani Lake Water quality |
| title | Monitoring and assessment of a eutrophicated coastal lake using multivariate approaches |
| title_full | Monitoring and assessment of a eutrophicated coastal lake using multivariate approaches |
| title_fullStr | Monitoring and assessment of a eutrophicated coastal lake using multivariate approaches |
| title_full_unstemmed | Monitoring and assessment of a eutrophicated coastal lake using multivariate approaches |
| title_short | Monitoring and assessment of a eutrophicated coastal lake using multivariate approaches |
| title_sort | monitoring and assessment of a eutrophicated coastal lake using multivariate approaches |
| topic | Cluster analysis (CA) Physicochemical parameters Principal component analysis (PCA) Multidimensional scaling (MDS). Veli-Akkulam Lake Vellayani Lake Water quality |
| url | http://www.gjesm.net/article_19797_af4e67a70ab41238aaa89dab3f582c42.pdf |
| work_keys_str_mv | AT ugabhjna monitoringandassessmentofaeutrophicatedcoastallakeusingmultivariateapproaches |