Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 5
Articles | Volume 23, issue 5
https://doi.org/10.5194/hess-23-2279-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-2279-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 5
Research article
 | 
13 May 2019
Research article |  | 13 May 2019

Multi-model approach to quantify groundwater-level prediction uncertainty using an ensemble of global climate models and multiple abstraction scenarios

Syed M. Touhidul Mustafa, M. Moudud Hasan, Ajoy Kumar Saha, Rahena Parvin Rannu, Els Van Uytven, Patrick Willems, and Marijke Huysmans

Viewed

Total article views: 6,800 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,793 1,863 144 6,800 470 164 185
  • HTML: 4,793
  • PDF: 1,863
  • XML: 144
  • Total: 6,800
  • Supplement: 470
  • BibTeX: 164
  • EndNote: 185
Views and downloads (calculated since 10 Dec 2018)
Cumulative views and downloads (calculated since 10 Dec 2018)

Viewed (geographical distribution)

Total article views: 6,800 (including HTML, PDF, and XML) Thereof 5,719 with geography defined and 1,081 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Nov 2025
Download
Short summary
This study evaluates the effect of conceptual hydro(geo)logical model (CHM) structure, climate change and groundwater abstraction on future groundwater-level prediction uncertainty. If the current groundwater abstraction trend continues, groundwater level is predicted to decline quickly. Groundwater abstraction in NW Bangladesh should decrease by 60 % to ensure sustainable use. Abstraction scenarios are the dominant uncertainty source, followed by CHM uncertainty and climate model uncertainty.
Read more
Share