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

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Listed:
  • Roquia Salam

    (Begum Rokeya University)

  • Abu Reza Md. Towfiqul Islam

    (Begum Rokeya University)

  • Shakibul Islam

    (Begum Rokeya University)

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

Suggested Citation

  • Roquia Salam & Abu Reza Md. Towfiqul Islam & Shakibul Islam, 2020. "Spatiotemporal distribution and prediction of groundwater level linked to ENSO teleconnection indices in the northwestern region of Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4509-4535, June.
    • Handle: RePEc:spr:endesu:v:22:y:2020:i:5:d:10.1007_s10668-019-00395-4
    DOI: 10.1007/s10668-019-00395-4
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    Cited by:

    1. Haibo Chu & Jianmin Bian & Qi Lang & Xiaoqing Sun & Zhuoqi Wang, 2022. "Daily Groundwater Level Prediction and Uncertainty Using LSTM Coupled with PMI and Bootstrap Incorporating Teleconnection Patterns Information," Sustainability, MDPI, vol. 14(18), pages 1-16, September.

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