Assessing the changing trends of groundwater level with spatiotemporal scale at the northern part of Bangladesh integrating the MAKESENS and ARIMA models

Autor: Monir, Md. Moniruzzaman, Sarker, Subaran Chandra, Islam, Md. Nazrul
Zdroj: Modeling Earth Systems and Environment; 20230101, Issue: Preprints p1-22, 22p
Abstrakt: The study aims to assess the pattern of regional and temporal changes in groundwater levels from 2001 to 2020 and to forecast regional groundwater levels to 2030 in the northern part of Bangladesh. The IDW interpolation methods have been applied to visualize the spatiotemporal changes in groundwater levels integrating the MAKESENS models and the ARIMA model. The Bangladesh Water Development Board is the source of groundwater level data for this study. Spatiotemporal analysis of groundwater level studies for the winter, pre-monsoon, monsoon, and post-monsoon seasons have been considered in the study. Groundwater levels had diminished significantly from 2006 to 2016. Approximately 56% of monitoring wells exhibit a trend of declining groundwater levels throughout all of these seasons where the modified Mann–Kendall (MMK) S*values range from 0.65 to 3.93 and the trend magnitude from 0.001 to 0.129, and 22% of monitoring wells have a rising trend where the MMK S*values range from − 0.62 to − 3.7, and the trend magnitude from − 0.022 to − 0.131. The remaining 22% of monitoring wells have a stable trend in groundwater level. The results revealed that significant groundwater level fluctuations should occur shortly during the winter and post-monsoon seasons, ranging from − 5.1 to 4.8 m from the present levels. The yearly average decline in groundwater level of 0.37 m is expected to have the greatest impact on Lalmonirhat and Kurigram. The findings of this examination could provide important data on the seasonal pattern of local groundwater levels, which assists in developing an appropriate groundwater strategic framework for future groundwater shortages.
Databáze: Supplemental Index