The Influence of Groundwater Management on Land Subsidence Patterns in the Metropolitan Region of Guatemala City: A Multi-Temporal InSAR Analysis

This study investigates the relationships between surface deformations and groundwater management in the Metropolitan Region of Guatemala (MRG), a geologically complex area subjected to different types of ground deformation, integrating five municipalities around Guatemala City. Deformation patterns were characterized through Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) and compared with groundwater piezometric data. The MT-InSAR technique allowed the identification of the main deformation areas in the MRG. Previously reported maximum subsidence rates ranged from −60 mm/year to −20 mm/year, with local maxima fitting with the extraction well fields of Villanueva and Petapa, in the South basin. Subsidence bowl or depression cone deformation areas were identified and located, similar to those described in the literature for other urban areas, such as Jakarta, Semarang, and Mexico City, among others. This study contextualizes these findings within the detailed hydrogeological framework of the region, highlighting the long-standing generalized exploitation of groundwater resources for urban, agricultural, and industrial uses. Historical data on water wells, piezometric levels, and groundwater flow patterns indicate that groundwater extraction has surpassed the natural recharge rates, particularly in the southern and eastern hydrological basins in the study area. This research identifies a critical need for sustainable water management, emphasizing the importance of integrating MT-InSAR into groundwater monitoring schemes.

Authors

Institutions

Publication Details

Journal
Remote Sensing
Published
2025-04-23
DOI
https://doi.org/10.3390/rs17091496
Citations
1
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
4.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Influence of Groundwater Management on Land Subsidence Patterns in the Metropolitan Region of Guatemala City: A Multi-Temporal InSAR Analysis

Alfredo Fernández-Landa, Carlos García-Lanchares, Miguel Marchamalo, Orlando Hernández-Rubio et al.
1 citations
Remote Sensing
Synthetic Aperture Radar (SAR) Applications and Techniques
4.99
article

The Influence of Groundwater Management on Land Subsidence Patterns in the Metropolitan Region of Guatemala City: A Multi-Temporal InSAR Analysis

Alfredo Fernández-Landa, Carlos García-Lanchares, Miguel Marchamalo, Orlando Hernández-Rubio, José Luis Armayor
article en
1 citations

Abstract

This study investigates the relationships between surface deformations and groundwater management in the Metropolitan Region of Guatemala (MRG), a geologically complex area subjected to different types of ground deformation, integrating five municipalities around Guatemala City. Deformation patterns were characterized through Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) and compared with groundwater piezometric data. The MT-InSAR technique allowed the identification of the main deformation areas in the MRG. Previously reported maximum subsidence rates ranged from −60 mm/year to −20 mm/year, with local maxima fitting with the extraction well fields of Villanueva and Petapa, in the South basin. Subsidence bowl or depression cone deformation areas were identified and located, similar to those described in the literature for other urban areas, such as Jakarta, Semarang, and Mexico City, among others. This study contextualizes these findings within the detailed hydrogeological framework of the region, highlighting the long-standing generalized exploitation of groundwater resources for urban, agricultural, and industrial uses. Historical data on water wells, piezometric levels, and groundwater flow patterns indicate that groundwater extraction has surpassed the natural recharge rates, particularly in the southern and eastern hydrological basins in the study area. This research identifies a critical need for sustainable water management, emphasizing the importance of integrating MT-InSAR into groundwater monitoring schemes.

Remote SensingVol. 17(9)
Universidad Politécnica de Madrid (ES)
Comunidad de Madrid, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 6%
Synthetic Aperture Radar (SAR) Applications and Techniques
4.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.