APPLICATION OF MULTIVARIATE STATISTICAL TECHNIQUES FOR WATER QUALITY PARAMETERS OF LAKES IN BANGALORE
| dc.contributor.advisor | Krishnamurthy, K N | |
| dc.contributor.author | LEKHASHREE, S M | |
| dc.date.accessioned | 2016-10-27T09:06:01Z | |
| dc.date.available | 2016-10-27T09:06:01Z | |
| dc.date.issued | 41627 | |
| dc.description.abstract | Water is one of the most precious natural resources needed by all living beings. Lakes and surface water reservoirs are the planet’s most important fresh water resources. In the last few decades, Bangalore has observed rapid industrialization and urbanization. This has lead to excessive pollution of water bodies. Water quality parameters data of the 16 lakes of Bangalore for the period of 2008- 2010 considered to study the present condition and causes for the pollution of the lakes. A multivariate statistical technique was used to study the water quality of the lakes. The main idea behind using this technique was to accommodate all the water quality parameters including metallic and non metallic parameters. The descriptive statistics showed significant variability in the water quality parameters in different lakes over the years. In cluster analysis, squared Euclidian distance was used as a similarity measure for classification of lakes. The results showed variation among the lakes and identified three types of lakes. It provides evidence that former three clusters could be categorized as less polluted and latter as highly polluted. The Factor analysis identified three factors that are responsible for the data structure explaining 85.11% of the total variance of the data set. Factor 1 to 3 explains variance 46.37%, 22.71% and 16.62% respectively. The potential factors identified were lead, zinc, copper, iron, Dissolved oxygen, electrical conductivity, total dissolved solids, pH and suspended solids. | en_US |
| dc.identifier.other | TH-10714 | |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/82380 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Agricultural Sciences GKVK, Bangalore | en_US |
| dc.sub | Agricultural Statistics | |
| dc.subject | surface water, irrigation, water quality, statistical methods, liquid wastes, sampling, storage structures, area, wastes, water | en_US |
| dc.these.type | M.Sc | |
| dc.title | APPLICATION OF MULTIVARIATE STATISTICAL TECHNIQUES FOR WATER QUALITY PARAMETERS OF LAKES IN BANGALORE | en_US |
| dc.type | Thesis | en_US |