Significant reduction of carbon stocks and changes of ecosystem service valuation of Indian Sundarban.

The Sundarban mangrove or tidal influenced natural ecosystem is extremely productive and providing multiple goods and services to millions of people. In the last few decades, the quality and quantity of mangrove ecosystem are being deteriorated. The main objectives of this current research are (i) to investigate the ecosystem service values (ESVs) using a time series satellite data (1975, 2000 and 2020) and different unit values (ii) to analyze the dynamic pattern of carbon sequestration through InVEST model and (iii) determination of ESVs change hotspots by Getis-Ord Gi method.

Variation and dispersal of PM and PM during COVID-19 lockdown over Kolkata metropolitan city, India investigated through HYSPLIT model.

The higher concentration of PM and PM in the lower atmosphere is severely harmful for human health and it also makes visibility diminution along with weather and climate modifications. The main objective is to find out the spatiotemporal variation and dispersal of PM and PM along with COVID-19 infection in the dusty city Kolkata. The consecutive two years PM and PM data of different stations have been obtained from State Pollution Control Board, Govt.

PM concentration prediction during COVID-19 lockdown over Kolkata metropolitan city, India using MLR and ANN models.

Kolkata is the third densely populated city of India and Kolkata stands in the World's 25 most polluted cities along with 10 worse polluted cities in India. The relevant study claims that due to the imposition of lockdown during COVID-19 pandemic, the atmospheric pollution level has been significantly reduced over the metropolitan city Kolkata like other cities of the world. The main objective of this study is to predict the concentration of PM using multiple linear regression (MLR) and artificial neural network (ANN) models and similarly, to compare the accuracy level of two models.