Predicting coastal erosion susceptibility in Bangladesh under climate scenario via machine learning techniques

PLOS One | https://doi.org/10.1371/journal.pone.0334347 November 5, 2025 15 / 34 and southwestern regions, whereas lower values are observed in the southern and coastal zones, with intermediate levels in the intervening areas. TWI(c) exhibits a comparable pattern, displaying low values in the eastern regions and higher values in the center and low-lying areas in the western regions. Description of meteorological factors According to Fig 6 the meteorological factors demonstrate varied regional distributions throughout the region. The Aridity Index(a) and Precipitation(c) exhibit higher levels mostly in the southeastern and northeastern regions, whilst lower values are observed in the southwestern and northwestern sectors. The Mean Wind Speed(b) has a contrasting pattern, with Fig 6. Meteorological factors (a) Aridity Index, (b) Mean Wind Speed, (c) Precipitation. https://doi.org/10.1371/journal.pone.0334347.g006