STUDY ON LONG-TERM VARIATION IN HYDROMETEOROLOGY DATA AND CORRELATION AND CAUSALITY OF GROBAL-SCALE PHENOMENA IN THE BENGAL REGION

Bangladesh is one of the most disaster-prone countries in world, with great negative consequences being associated various natural and human-induced hazards. Therefore, evaluation long-term variation recorded meteorological hydrological time-series data necessary for infrastructure development future. In this study, we collected 32-year monthly precipitation at 36 locations Bangladesh, 116-year seven areas India 30-year daily water level four Ganges Brahmaputra Meghna Haor Bangladesh. We conducted a trend analysis using these as well correlation causality order to find relation global-scale phenomena such Southern Oscillation Index (SOI) Dipole Mode (DMI). used Mann-Kendall test Seasonal river level; wavelet cross-wavelet coherence correlation; VAR-LiNGAM between SOI, DMI. The showed significant decrease central part Meanwhile, no shown northern other parts. slope found be bigger compared India. three major rivers show recent 30 years. Especially, than those parts For phenomena, shows that DMI stronger SOI. from Bengal area five six months lag.