The Environmentalist

  Read full article: 1. https://doi.org/10.13140/RG.2.2.26786.49608 Abstract Understanding future temperature patterns is central to global climate research and national adaptation planning. This study examines projected global maximum temperatures for the late twenty-first century 2081-2100, focusing on the months of June and December, two periods representing opposite seasons across hemispheres. Using gridded climate projections from the WorldClim CMIP6 dataset, the analysis applies geographic information system (GIS) techniques within QGIS to visualise and interpret spatial differences in projected warming. The dataset was derived from the SSP5-8.5 scenario, a high-emissions pathway associated with strong warming, using the ACCESS-CM2 global climate model at a spatial resolution of 10 minutes. The five maps constructed from the GeoTIFF files reveal distinct seasonal patterns, with June showing extreme heat across the Northern Hemisphere especially Africa, Asia, and parts of Nort...

  Read full article:  1. https://doi.org/10.13140/RG.2.2.12170.32965 Abstract Coastal flooding is a major threat to low-lying areas, especially in delta regions and lagoons. This study uses a raster-based flood simulation method in QGIS to evaluate potential flooding patterns due to rising sea levels and storm surges, specifically looking at a 3 m storm surge scenario. The research focuses on the Keta Municipal District and its immediate coastal communities, which are highly vulnerable to flooding because of their low elevation and closeness to the coast. Raster analysis techniques were employed to simulate flood extents for sea level rises of 4 m, 5 m, and 6 m. Boolean raster operations and map algebra were used in mapping inundated areas for each scenario. To make the simulation realistic, 3 m storm surge was run in conjunction with the three sea level rise scenarios ; 4 m, 5 m and 6 m to reflect extreme coastal flood rather than just gradual sea level rise. The results...