MODELLING EVACUATION STRATEGIES UNDER DYNAMIC CONDITIONS DUE TO OBSTACLE LOCATIONS BASED ON A SEMANTIC 3D BUILDING MODELS

The present study investigated the space–time variability of XCH₄ over coal fields, power plants, and wetlands using long-term GOSAT and S5/TROPOMI data.  The XCH4 variability associated with the heterogenous sources present in the south Asian (India) region and their implications for atmospheric XCH4 concentrations were evaluated. The CH₄ concentrations were mapped against the emissions in the agro-climatic zones, and a statistically high correlation was found in the Indo-Gangetic Plain region.