Evidence map›Paper›PMID 42146770›Full record

ArticleNatural hazards (Dordrecht, Netherlands)2026

Assessment of land subsidence and future flood hazards for coastal cities of the Gulf of Mexico using time series InSAR.

Yuxin Yuan, Lei Wang

Abstract read
In one paragraph

Article in Natural hazards (Dordrecht, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yuxin YuanDepartment of Civil and Architectural Engineering and Construction Management, University of Cincinnati, Cincinnati, OH 45221 USA.
Lei WangDepartment of Civil and Architectural Engineering and Construction Management, University of Cincinnati, Cincinnati, OH 45221 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea level rise poses a significant natural hazard to coastal cities, with profound socio-economic and environmental impacts. This study analyzes new measurements of ongoing subsidence in Houston, New Orleans, and Tampa using Sentinel-1A SAR data (2019-2024) and evaluates its impact on future flooding risks. While the overall surface in these cities remains relatively stable, this study has identified multiple previously unrecognized land deformation zones. InSAR time-series deformation rates in the line-of-sight (LOS) direction range from - 42 to 10 mm/year in Houston, - 48 to 19 mm/year in New Orleans, and - 144 to 24 mm/year in Tampa. InSAR-derived velocities are correlated with land cover, with higher subsidence rates observed in vegetated areas compared to developed regions. Geographically weighted regression (GWR) is applied to quantify the spatially varying relationships between subsidence and potential driving factors. The results indicate that both groundwater withdrawal and hydrocarbon-related activities contribute to the observed deformation patterns, although their influence varies across locations. To assess future flood risk, InSAR-derived deformation data are integrated with the SSP 5-8.5 sea level rise scenario. The results show that subsidence increases the inundation area over sea level rise alone by up to 86% in Houston, 5% in New Orleans, and 50% in Tampa. These findings provide valuable insights for disaster risk management and urban planning in coastal regions.

Indexed as

FloodGulf of MexicoLand subsidenceSBAS-InSAR

Identifiers

PMID42146770
PMCPMC13176047

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.