Time series analysis of groundwater quality at selected sites of Purba and Paschim Burdwan, West Bengal, India.

The Water Quality Index (WQI) is used to monitor the health and usability of a water body. In this study, we aimed to construct time series prediction models using groundwater WQI (GW-WQI) at four sites: IISCO-Asansol, Durgapur Town, Burdwan University, and Burdwan Station. While statistical spatio-temporal analysis has been reported earlier, no time series analysis of the data or predictive modelling has been done.

Study of biochemical factors in assessing air pollution tolerance index of selected plant species in and around Durgapur industrial belt, India.

Increasing levels of pollution put plants under stress, leading to changes in their biochemical factors, which can be measured using the pollution tolerance index (APTI). APTI is a measure of environmental stress on flora, and it is calculated using four parameters (chlorophyll, ascorbic acid, relative water content, and pH). Earlier work in the same belt showed a positive correlation between stress and APTI but concentrated on woody trees only.