A novel adsorbent, Fe‐Mn‐Zr metal oxide nanocomposite was synthesized and investigated for removal of methyl orange (MO) and eosin yellow (EY) dyes from binary dye solution. The magnetic nanocomposite has shown surface area of 143.01 m2/g and saturation magnetization of 15.29 emu/g. Optimization was carried out via response surface methodology (RSM) for optimizing process variables, and optimum dye removal of 99.26% and 99.55% were obtained for MO and EY dye, respectively with contact time 62 min, adsorbent dose 0.45 g/l, initial MO concentration 11.0 mg/l, and initial EY concentration 25.0 mg/l. A feed forward back propagation neural network model has shown better prediction ability than RSM model for predicting MO and EY dye removal (%). Adsorption process strictly follows Langmuir isotherm model, and enhanced adsorption capacities of 196.07 and 175.43 mg/g were observed for MO and EY dye, respectively due to synergistic effects of physicochemical properties of trimetal oxides. Surface adsorption and pore diffusions are the mechanisms involved in the adsorption as revealed from kinetic studies.

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Physio-chemical parameters namely temperature, pH, electrical conductivity, total suspended solids, chloride content and rate of discharge of spring’s water from 92 (ninety-two) sampling locations in Chandel district were studied. Measurement of rate of discharge, temperature, electrical conductivity and pH were carried on the site of sampling, whereas other parameters were analysed in laboratory. The measurement and analysis results showed that the discharge of spring’s water at the sampling locations range from 0.014x 10-5 – 3.7 x 10-5 m 3 /s, temperature from 18 – 31˚C, pH from 6.5 – 9.2, electrical conductivity from 10 – 640 µS, Total suspended solids from 1 – 180 mgL-1 and chloride content range from 4 – 64 mgL-1 . The average values were 0.212 x 10-5 m 3 /s, 23.97˚C, 7.92, 131.65 µS, 13.66 mgL-1 and 19.52 mgL-1 respectively. By comparing the quality of spring water with the standards, the values of the parameters did not exceed and are within the permissible limit prescribed by World Health Organization (WHO). Further, multivariate analysis (using cluster analysis) was carried out to identify the spatial relationship of the spring’s water quality between the sampling locations. The results showed that out of total sampling station, 69 (sixtynine) has similarity of about 60-70 %, whereas 5(five) sampling locations has about 90% similarity and remaining 18 (eighteen) has only about 45% similarity. Amongst the spring’s water quality, the samples collected from Chakpikarong sub-division have higher water quality