EVALUATION OF LAKE WATER QUALITY USING MULTIPLE LINEAR REGRESSION MODELLINGA.M. SHEELA, J. LETHA AND SABU JOSEPH
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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