- English
This study examines the changing rainfall patterns in the Vietnamese Mekong Delta (VMD)
utilizing observational data spanning from 1978 to 2022. We employ the Mann–Kendall test, the
sequential Mann–Kendall test, and innovative trend analysis to investigate trends in annual, wet,
and dry season rainfall, as well as daily rainfall events. Our results show significant spatial variations.
Ca Mau, a coastal province, consistently showed higher mean annual and seasonal rainfall
compared to the further inland stations of Can Tho and Moc Hoa. Interestingly, Ca Mau experienced
a notable decrease in annual rainfall. Conversely, Can Tho, showed an overall decrease in some
months of the wet season and an increase in dry season rainfall. Furthermore, Moc Hoa showed an
increase in the number of rainy days, especially during the dry season. Principal component analysis
(PCA) further revealed strong correlations between annual rainfall and extreme weather events,
particularly for Ca Mau, emphasizing the complex interplay of geographic and climatic factors
within the region. Our findings offer insights for policymakers and planners, thus aiding the development
of targeted interventions to manage water resources and prepare for changing climate conditions.
- English
