Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

SIGH-Map: Space-time InSAR-based groundwater head mapping: An integrated InSAR-MODFLOW framework for head calculation

Hashemi, Hossein LU orcid ; Nazarieh, Farzaneh and Khodaei, Behshid LU orcid (2026) In Journal of Hydrology: Regional Studies
Abstract
This research introduces a novel framework for calculating spatio-temporal groundwater head changes by integrating InSAR with MODFLOW. The study addresses limited monitoring networks by utilizing InSAR's capability to measure land subsidence caused by over-pumping. We calibrated a MODFLOW model, during the 2000–20 period, with a subsidence package using InSAR and in-situ measurements from the Neyshabour aquifer, Iran. InSAR analysis revealed significant subsidence up to 16 cm/year (2014–22). We simulated no-delay and delay interbeds cases, finding that storage coefficients from the delay interbeds case are more accurate for local inelastic conditions. Calibrated coefficients and InSAR data were integrated to calculate groundwater heads,... (More)
This research introduces a novel framework for calculating spatio-temporal groundwater head changes by integrating InSAR with MODFLOW. The study addresses limited monitoring networks by utilizing InSAR's capability to measure land subsidence caused by over-pumping. We calibrated a MODFLOW model, during the 2000–20 period, with a subsidence package using InSAR and in-situ measurements from the Neyshabour aquifer, Iran. InSAR analysis revealed significant subsidence up to 16 cm/year (2014–22). We simulated no-delay and delay interbeds cases, finding that storage coefficients from the delay interbeds case are more accurate for local inelastic conditions. Calibrated coefficients and InSAR data were integrated to calculate groundwater heads, for the 2014–22 period in which the 2020–22 period was used as an independent validation period, achieving high correlation (>0.8) with observed heads in subsidence zones. This framework allows near real-time, cost-effective groundwater head calculation using only InSAR deformation and calibrated storage coefficients. It addresses traditional groundwater head monitoring limitations by providing high spatial and temporal resolution in vast aquifer systems. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
InSAR, MODFLOW, groundwater monitoring
in
Journal of Hydrology: Regional Studies
pages
19 pages
publisher
Elsevier
external identifiers
  • scopus:105045528245
ISSN
2214-5818
DOI
10.1016/j.ejrh.2026.103777
project
The United Nations University Hub: Water in a Changing Environment (WICE)
language
English
LU publication?
yes
id
d3d96abd-27e1-4ce6-889e-d384d8d6c1a8
date added to LUP
2026-08-11 10:52:18
date last changed
2026-08-12 04:00:43
@article{d3d96abd-27e1-4ce6-889e-d384d8d6c1a8,
  abstract     = {{This research introduces a novel framework for calculating spatio-temporal groundwater head changes by integrating InSAR with MODFLOW. The study addresses limited monitoring networks by utilizing InSAR's capability to measure land subsidence caused by over-pumping. We calibrated a MODFLOW model, during the 2000–20 period, with a subsidence package using InSAR and in-situ measurements from the Neyshabour aquifer, Iran. InSAR analysis revealed significant subsidence up to 16 cm/year (2014–22). We simulated no-delay and delay interbeds cases, finding that storage coefficients from the delay interbeds case are more accurate for local inelastic conditions. Calibrated coefficients and InSAR data were integrated to calculate groundwater heads, for the 2014–22 period in which the 2020–22 period was used as an independent validation period, achieving high correlation (>0.8) with observed heads in subsidence zones. This framework allows near real-time, cost-effective groundwater head calculation using only InSAR deformation and calibrated storage coefficients. It addresses traditional groundwater head monitoring limitations by providing high spatial and temporal resolution in vast aquifer systems.}},
  author       = {{Hashemi, Hossein and Nazarieh, Farzaneh and Khodaei, Behshid}},
  issn         = {{2214-5818}},
  keywords     = {{InSAR; MODFLOW; groundwater monitoring}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Hydrology: Regional Studies}},
  title        = {{SIGH-Map: Space-time InSAR-based groundwater head mapping: An integrated InSAR-MODFLOW framework for head calculation}},
  url          = {{http://dx.doi.org/10.1016/j.ejrh.2026.103777}},
  doi          = {{10.1016/j.ejrh.2026.103777}},
  year         = {{2026}},
}