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Spatiotemporal distribution and prediction of groundwater level linked to ENSO teleconnection indices in the northwestern region of Bangladesh

Roquia Salam (), Abu Reza Md. Towfiqul Islam () and Shakibul Islam ()
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Roquia Salam: Begum Rokeya University
Abu Reza Md. Towfiqul Islam: Begum Rokeya University
Shakibul Islam: Begum Rokeya University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2020, vol. 22, issue 5, No 32, 4509-4535

Abstract: Abstract This study aims to investigate spatiotemporal trends and magnitudes of groundwater level for the period of 1981–2017 in the northwestern region of Bangladesh and to predict the groundwater level changes from 2018 to 2025 through autoregressive integrated moving average (ARIMA) modeling. The study explores the relationship between groundwater level and El-Nino Southern Oscillation (ENSO) teleconnection indices during 1981–2017 in the study area. Results of MMK (Modified Mann–Kendall) Z statistics showed a significant downward trend of groundwater level (p

Keywords: ARIMA model; Cross-correlation; ENSO teleconnection indices; Groundwater level changes; Modified Mann–Kendall; Northwestern Bangladesh (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10668-019-00395-4

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