Assessment of Groundwater Level Trends Using Mann--Kendall Test, Sen's Slope Estimator, and GIS Mapping in the Bandikhan District, Surkhandarya, Uzbekistan

Received: 2026-08-05

Published: 2026-06-30

Abstract

Water security is a critical concern in the Bandikhan district of Surkhandarya, Uzbekistan, where agriculture predominantly relies on groundwater resources. This study assesses the spatial and temporal trends of groundwater levels during both vegetation (April–September) and non-vegetation (October–March) periods from 2018 to 2023. Data from 63 observation wells were analyzed using the Mann–Kendall trend test, Sen’s slope estimator, and linear regression methods. Geographic Information System (GIS) tools were employed to map the spatial distribution of groundwater level changes. 
The results indicated that the average depth to groundwater during the vegetation period ranged from 1.06 m to 5.84 m, with a mean fluctuation of 2.45 m. During the non-vegetation period, depths ranged from 1.04 m to 5.68 m, with a mean fluctuation of 1.04 m. Significant trends were observed in the groundwater levels. Sen’s slope estimates varied from –0.26 to +0.34 m/year, indicating both rising and declining groundwater levels across the district. The average rate of decline was found to be 0.22 m/year, with a standard deviation of 0.07 m/year. 
These findings highlight the overexploitation of groundwater resources in certain areas due to intensive agricultural practices, leading to declining water tables. Conversely, some areas exhibited rising groundwater levels, possibly due to irrigation return flows or inadequate drainage systems. The study underscores the need for sustainable groundwater management, including the implementation of advanced irrigation techniques and the promotion of crops requiring less water. The results provide valuable insights for planners and decision-makers to develop effective land use and water resource management strategies, ensuring the long-term sustainability of groundwater resources in the Bandikhan district.

List of references

  1. Islam, M. S., Rahman, M. A., & Rashid, M. H. Trend analysis of groundwater levels using Mann–Kendall and Sen’s slope estimator in an irrigated area of angladesh. Groundwater for Sustainable Development, 12, 100529 (2021). https://doi.org/10.1016/j.gsd.2020.100529

  2. Zhang, Y., Wang, X., & Chen, H. GIS-based groundwater level trend analysis using non-parametric tests in the North China Plain. Journal of Hydrology, 598, 126192 (2021). https://doi.org/10.1016/j.jhydrol.20 21.126192

  3. Ahmed, A., & Panda, S. K. Groundwater level trend analysis using non-parametric tests and GIS in western Odisha, India. Journal of the Geological Society f India, 96(1), 35–42 (2020). https://doi.org/10.1007/s12594-020-1408-7

  4. Silva, M. S. L. L., et al. Trend analysis of groundwater levels in the Brazilian semiarid region using Mann–Kendall and Sen’s slope estimator. Hydrological Sciences Journal, 65(9), 1480–1490 (2020). https://doi.org/10.1080/02626667.2020.1769108

  5. Kumar, S., & Kumar, A. Spatial and temporal variations of groundwater levels in an irrigated region using GIS and statistical methods. Environmental Earth Sciences, 78(18), 549 (2019). https://doi.org/10.1007/s12665-019-8561-3

  6. Bozkurt, E. E., & Balaban, H. Ş. Application of Mann–Kendall trend test and Sen’s slope estimates for groundwater levels in the Konya Closed Basin, Turkey. Environmental Monitoring and Assessment, 191(10), 605 (2019). https://doi.org/10.1007/s10661-019-7733-4

  7. Moghaddam, A. A., Mirhosseini, A., & Soltani, A. Groundwater level trend analysis in Urmia Lake Basin, Iran using non-parametric methods and GIS. Sustainable Water Resources Management, 4(2), 371–384 (2018). https://doi.org/10.1007/s40899-017-0138-3

  8. Shamsudduha, M., et al. Recent trends in groundwater levels in a highly seasonal hydrological system: the Ganges–Brahmaputra–Meghna Delta. Hydrology and Earth System Sciences, 23(11), 4933–4947 (2019). https://doi.org/10.5194/hess-23-4933-2019

  9. Ali, A. A., et al. Evaluation of groundwater level changes using statistical methods and GIS in the Nile Delta Aquifer, Egypt. Journal of African Earth Sciences, 181, 104257 (2021). https://doi.org/10.1016/j.jafrearsci.2021.104257

  10. Wu, H., et al. Spatiotemporal analysis of groundwater level trends using GIS and non-parametric statistical tests in the Hebei Plain, China. Science of the Total Environment, 712, 136512 (2020). https://doi.org/10.1016/j.scitotenv.2019.136512

  11. Singh, S. K., et al. Application of Mann–Kendall test and Sen’s slope estimates for groundwater level trend analysis in Jharkhand State, India. International Journal of Pure and Applied Mathematics, 119(17),1487–1500 (2018).

  12. Pandey, P. K., & Singh, V. Groundwater level trend analysis and forecasting using statistical and artificial neural network techniques. Journal of the Geological Society of India, 94(3), 251–258 (2019). https://doi.org/10.1007/s12594-019-1187-6

  13. Jha, S. K., et al. Trend analysis of groundwater levels using non-parametric tests and GIS in a canal command area of eastern India. Journal of the Geological Society of India, 96(2), 163–169 (2020). https://doi.org/10.1007/s12594-020-1412-y

  14. Reddy, K. H., et al. Groundwater level trend and its spatial variability analysis using GIS in a semi-arid region of South India. Applied Water Science, 10(6), 149 (2020). https://doi.org/10.1007/s13201-020-01218-7

  15. Mwakalila, J. H. H. Analysis of groundwater level trends and variations using statistical techniques in Dar es Salaam, Tanzania. Journal of Water Supply: Research and Technology–AQUA, 70(5), 738–747 (2021). https://doi.org/10.2166/aqua.2021.109

  16. Mondal, N. K., et al. Evaluation of groundwater level trends and variability in the Purulia district of West Bengal, India using statistical analysis and GIS techniques. Groundwater for Sustainable Development, 11, 100423 (2020). https://doi.org/10.1016/j.gsd.2020.100423

About the Authors

Gafurov Zafar
International Water Management Institute
Samiev Luqmon
National Committee on Ecology and Climate Change of the Republic of Uzbekistan
Eshboyev Navruz
National Committee on Ecology and Climate Change of the Republic of Uzbekistan
Nosirov Nozimbek
Research Institute of Environment and Nature Conservation Technologies
Doniyorova Kholniso
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University

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How to Cite

Assessment of Groundwater Level Trends Using Mann--Kendall Test, Sen’s Slope Estimator, and GIS Mapping in the Bandikhan District, Surkhandarya, Uzbekistan. (2026). Journal of Hydraulic and Environmental Engineering, 4(1), 3-19. https://doi.org/10.35938/jhee-2026-1-00001

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