EVALUATION OF LAKE WATER QUALITY USING MULTIPLE
LINEAR REGRESSION MODELLING
A.M. SHEELA, J. LETHA AND SABU JOSEPH
Abstract
Lakes are now under the threat of pollution due to anthropogenic activities. The monitoring of
lake water quality helps to identify the causes of pollution and conservation measures can
accordingly be envisaged. The trophic state index based on secchi disk depth (TSI-SD) shows the
trophic status of a lake system. The aim of the work is to analyse the lake water quality data
(Akkulam-Veli Lake, Kerala, India) using multiple regression analysis (MRA) during the premonsoon
(PRM), monsoon (MON), and the post-monsoon (POM). The prediction of TSI-SD using
multiple regression equation yields the significant water quality parameters that affect the clarity
of the lake during the different seasons. Thus the MRA can be effectively used to identify the
factors affecting the trophic status of a lake system.
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