Estimating Groundwater Mounding in Sloping Aquifers for Managed Aquifer Recharge

Vitaly A. Zlotnik, Anvar Kacimov, Ali Al-Maktoumi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Design of managed aquifer recharge (MAR) for augmentation of groundwater resources often lacks detailed data, and simple diagnostic tools for evaluation of the water table in a broad range of parameters are needed. In many large-scale MAR projects, the effect of a regional aquifer base dip cannot be ignored due to the scale of recharge sources (e.g., wadis, streams, reservoirs). However, Hantush's (1967) solution for a horizontal aquifer base is commonly used. To address sloping aquifers, a new closed-form analytical solution for water table mound accounts for the geometry and orientation of recharge sources at the land surface with respect to the aquifer base dip. The solution, based on the Dupiuit-Forchheimer approximation, Green's function method, and coordinate transformations is convenient for computing. This solution reveals important MAR traits in variance with Hantush's solution: mounding is limited in time and space; elevation of the mound is strongly affected by the dip angle; and the peak of the mound moves over time. These findings have important practical implications for assessment of various MAR scenarios, including waterlogging potential and determining proper rates of recharge. Computations are illustrated for several characteristic MAR settings.

Original languageEnglish
JournalGroundwater
DOIs
Publication statusAccepted/In press - 2017

Fingerprint

Aquifers
Groundwater
recharge
aquifer
groundwater
dip
water table
Groundwater resources
waterlogging
Green function
groundwater resource
Green's function
Water
land surface
geometry
Geometry

ASJC Scopus subject areas

  • Water Science and Technology
  • Computers in Earth Sciences

Cite this

Estimating Groundwater Mounding in Sloping Aquifers for Managed Aquifer Recharge. / Zlotnik, Vitaly A.; Kacimov, Anvar; Al-Maktoumi, Ali.

In: Groundwater, 2017.

Research output: Contribution to journalArticle

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