Integrated analysis of Hashtgerd plain deformation, using Sentinel-1 SAR, geological and hydrological data

Azar, Mahdi Khoshlahjeh; Shami, Siavash; Nilfouroushan, Faramarz; Salimi, Maryam; Bolorfroshan, Mahdieh Ghayoor; Reshadi, Mir Amir Mohammad

doi:10.1038/s41598-022-25659-4

Cited by 4 publications

(1 citation statement)

References 42 publications

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“…Roads play a vital role in connecting communities, facilitating socioeconomic activities and ensuring the overall functionality of societies. Differential subsidence through settlement inflicts damage to roads, especially in areas with a highly heterogeneous and compressible coastal subsurface (Khoshlahjeh Azar et al, 2022;Gee et al, 2019;Ngan-Tillard et al, 2010;Polcari et al, 2019). Therefore, it would be a critical step forward for road-operators to be able to forecast road settlement, and subsequently mitigate identified hazards.…”

Section: Introductionmentioning

confidence: 99%

Multi-data settlement prediction along a road section integrating InSAR and coastal subsurface information with data assimilation

Verberne,

Koster,

Fokker

2024

Front. Earth Sci.

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This paper presents a novel approach to examining the impact of soil settlement and its spatial distribution on infrastructure. The study focuses on a specific road section in the Friesland coastal plain in the north of the Netherlands, investigating how the Holocene coastal subsurface architecture influences settlement patterns. Our study underscores the importance of integrating multiple datasets, providing data at varying resolutions. The road segment traverses lithostratigraphical units, which include tidal channel and tidal flat deposits, overlaying an older tidal basin system and intercalated peat beds. Through data assimilation of a settlement model optimized with InSAR measurements, we have identified settlement heterogeneities that can be explained by combining high-resolution variations in lithology with gradual changes in lithostratigraphy. This was accomplished by utilizing a medium-resolution model (MRM) based on borehole descriptions and a high-resolution data (HRD) approach based on cone penetration tests along the road. The HRD method proved more effective in capturing abrupt changes in lithology between channel structures, while the MRM provided a continuous representation of the lithostratigraphic setting of the area. Our study demonstrates that subsurface heterogeneities have significant implications for subsidence along roads. Settlement rates increase from 2–4 mm/year towards 9 mm/year along the road section, resulting in a differential settlement of more than 5 mm/year over a distance of less than a kilometer. This is primarily attributed to variations in lithostratigraphy. Overall, this new innovative approach offers a practical and cost-effective solution for predicting subsidence due to settlement, eliminating the need for expensive laboratory tests. By integrating lithology and lithostratigraphy, more efficient road maintenance and management become possible.

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Section: Introductionmentioning

confidence: 99%

Multi-data settlement prediction along a road section integrating InSAR and coastal subsurface information with data assimilation

Verberne,

Koster,

Fokker

2024

Front. Earth Sci.

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Treating Tropospheric Phase Delay in Large-scale Sentinel-1 Stacks to Analyze Land Subsidence

Haghshenas Haghighi,

Motagh

2024

PFG

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Variations in the tropospheric phase delay pose a primary challenge to achieving precise displacement measurements in Interferometric Synthetic Aperture Radar (InSAR) analysis. This study presents a cluster-based empirical tropospheric phase correction approach to analyze land subsidence rates from large-scale Sentinel‑1 data stacks. Our method identifies the optimum number of clusters in individual interferograms for K‑means clustering, and segments extensive interferograms into areas with consistent tropospheric phase delay behaviors. It then performs tropospheric phase correction based on empirical topography-phase correlation, addressing stratified and broad-scale tropospheric phase delays. Applied to a six-year data stack along a 1000-km track in Iran, we demonstrate that this approach enhances interferogram quality by reducing the standard deviation by 50% and lowering the semivariance of the interferograms to 20 cm2 at distances up to 800 km in 97% of the interferograms. Additionally, the corrected time series of deformation shows a 40% reduction in the root mean square of residuals at the most severely deformed points. By analyzing the corrected interferograms, we show that our method improves the efficiency of country-scale InSAR surveys to detect and quantify present-day land subsidence in Iran, which is essential for groundwater management and sustainable water resource planning.

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Monitoring of urinary nickel and chromium in metal industries workers in Alborz, Iran

Norisepehr,

Darvishmotevalli,

Qorbani

et al. 2024

Sci Rep

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Heavy metal contamination from occupational sources is a cause for concern due to its potential accumulation in the environment and the body of living organisms, which leads to long-term toxic effects. There is limited evidence on the concentration of heavy metals in the body fluids of welding workers. This study aimed to measure the concentration of nickel (Ni) and chromium (Cr) as two main toxic heavy metals in the urine samples of welders and determine the potential relationship of various environmental factors on their concentration levels. This study was conducted in Iran in 2022–2023. Eighty-five urine samples were collected from the studied welding workers. Inductively coupled plasma optical emission spectrometry (ICP-OES) was used to measure the concentration of Ni and Cr. Data related to socio-demographic characteristics (education level, income, work experience, age, and body mass index (BMI)), lifestyle profile (consumption of seafood and canned food, smoking, physical activity), type of ventilation and preventive devices at work, and suffering from underlying diseases (cardiovascular and high blood pressure) were collected using valid questionnaires. Ni and Cr were present in 100% of urine samples with mean concentrations of (1.09 ± 0.294) and (11.45 ± 16.751) µg/g creatinine, respectively. A significant correlation was observed between the mean concentration of Ni and Cr with the level of education, income, work experience, age, consumption of seafood and canned food, smoking, type of ventilation and preventive devices, and underlying diseases (p-value < 0.05). Also, there was no significant difference between Ni concentration and physical activity and Cr concentration with BMI. Lifestyle determinants and not using preventive devices are important predictors of urinary heavy metals in welding workers. Therefore, more research is required to determine the adverse effects of long-term exposure to these heavy metals.

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Integrated analysis of Hashtgerd plain deformation, using Sentinel-1 SAR, geological and hydrological data

Cited by 4 publications

References 42 publications

Multi-data settlement prediction along a road section integrating InSAR and coastal subsurface information with data assimilation

Multi-data settlement prediction along a road section integrating InSAR and coastal subsurface information with data assimilation

Treating Tropospheric Phase Delay in Large-scale Sentinel-1 Stacks to Analyze Land Subsidence

Monitoring of urinary nickel and chromium in metal industries workers in Alborz, Iran

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