Water is the most important compound in shaping the land and regulating the climate. It is one of the crucial compound that is believed to infl uence life. The water quality is usually described according to the physical, chemical and biological characteristics. The indiscriminate release of chemical fertilizers, pesticides, industrial effl uents are causing heavy and varied pollution in the aquatic environment leading to the deterioration of water quality which in turn depletes the aquatic biota. The use of the contaminated water by human population results in water borne diseases. Hence it is important to check the water quality at a regularly. The present paper investigates some important physicochemical parameters of water samples collected and do a statistical inference on the same. Three lakes in Bengaluru city like Hebbal lake in Northern Bengaluru, Shivpura lake and Elemallappa Shetty Lake in Southern Bengaluru were selected to study the physicochemical parameters, as these lake waters were polluted by industrial effl uents, agricultural run off, domestic discharges etc. physicochemical parameters like color, odour, pH, temperature, dissolved oxygen, biological oxygen demand, turbidity, electrical conductivity, chlorine content, metals content like Magnesium, Chromium, Iron, Tin, Mercury, Calcium were studied and statistically analyzed for a period of 12 months from January, 2019 to December, 2019. A general applied mathematics study and analysis on the biophysical and chemical parameters of the lake's surface water quality are applied to seek out the interrelatedness among them and conjointly to understand the water quality trends within the lake. The equation has been derived for the surface water quality parameters similar to the correlation coeffi cients whose value is over 0.8. These equations will be used for the fast observation of the surface water quality of the lake. Similarly, a scientifi c correlation and regression study on the surface water qualities within the study space showed linear relationship among the chosen parameters. This provides an apparent and fast methodology of observation in qualities of the lakes studied. Water quality of the lakes has been determined. Water quality of the lakes is studied to summarize the collected information into easy terms (e.g., 'Good' or 'Bad', 'Clean' or 'Contaminated') for news to authorities, management and
