Unveiling coastal urban road settlement issues from InSAR monitoring and time-series forecasting: insights from Zhuhai, China

Urban roads connect multiple elements within the city, and the settlement problems of underground railways and above-ground road systems are widespread worldwide. Therefore, we take Zhuhai as an example to investigate the current status and short-term evolution of the coastal city road system settlement. We applied Sentinel-1A and based on the SBAS-InSAR, extracted the settlement information from 2016 to 2019. The results show that the road system settlement has a ‘three-ring’ interval, experiencing four stages: small rise and fall, linear plunge, large rise and fall, and stable settlement. The spatial characteristics of the settlement of highways, national highways, provincial highways, railways, and other types of single roads are manifested in the form of many prominent settlement segments, unequal horizontal extension distances, large vertical settlement variability, and a three-year cumulative settlement of −150~−100 mm at prominent settlement points. Road settlement is strongly influenced by the hydrogeological environment, and the tuning point of road deformation coincides with the timing of extreme meteorological events. The predictive modelling under the existing conditions shows a major settlement of −50 to −30 mm in the coming year, and the impacts will continue to deepen in the following years. This study provides a multi-level perspective on urban road settlement.

Authors

Institutions

Publication Details

Journal
Geomatics Natural Hazards and Risk
Published
2026-04-27
DOI
https://doi.org/10.1080/19475705.2026.2663129
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Unveiling coastal urban road settlement issues from InSAR monitoring and time-series forecasting: insights from Zhuhai, China

Min Zeng, Yonggang Ge, Pengcheng Pi, Zixuan Xue et al.
Geomatics Natural Hazards and Risk
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Unveiling coastal urban road settlement issues from InSAR monitoring and time-series forecasting: insights from Zhuhai, China

Min Zeng, Yonggang Ge, Pengcheng Pi, Zixuan Xue, Hongxia Peng, Lu Zeng, Huimin Sun
article en

Abstract

Urban roads connect multiple elements within the city, and the settlement problems of underground railways and above-ground road systems are widespread worldwide. Therefore, we take Zhuhai as an example to investigate the current status and short-term evolution of the coastal city road system settlement. We applied Sentinel-1A and based on the SBAS-InSAR, extracted the settlement information from 2016 to 2019. The results show that the road system settlement has a ‘three-ring’ interval, experiencing four stages: small rise and fall, linear plunge, large rise and fall, and stable settlement. The spatial characteristics of the settlement of highways, national highways, provincial highways, railways, and other types of single roads are manifested in the form of many prominent settlement segments, unequal horizontal extension distances, large vertical settlement variability, and a three-year cumulative settlement of −150~−100 mm at prominent settlement points. Road settlement is strongly influenced by the hydrogeological environment, and the tuning point of road deformation coincides with the timing of extreme meteorological events. The predictive modelling under the existing conditions shows a major settlement of −50 to −30 mm in the coming year, and the impacts will continue to deepen in the following years. This study provides a multi-level perspective on urban road settlement.

Geomatics Natural Hazards and RiskVol. 17(1)
China Geological Survey (CN), China University of Geosciences (CN), Gezhouba Group (China) (CN), Institute of Mountain Hazards and Environment (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 4%
Synthetic Aperture Radar (SAR) Applications and Techniques
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.