4.7 Article

Persistent Scatterer Interferometry subsidence data exploitation using spatial tools: The Vega Media of the Segura River Basin case study

期刊

JOURNAL OF HYDROLOGY
卷 400, 期 3-4, 页码 411-428

出版社

ELSEVIER
DOI: 10.1016/j.jhydrol.2011.01.057

关键词

Subsidence; DInSAR; SPN; PSI; Spatial analysis; Conditioning and triggering factors

资金

  1. European Space Agency (ESA)
  2. Spanish Geological and Mining Institute (IGME)
  3. Regional Government of Murcia
  4. universities of Alicante (UA)
  5. Spanish Ministry of Science and Research (MICINN)
  6. EU [TEC2008-06764-C02-02]
  7. Generalitat Valenciana [ACOMP/2010/082]

向作者/读者索取更多资源

The aim of this paper is to analyze the subsidence affecting the Vega Media of the Segura River Basin, using a Persistent Scatterers Interferometry technique (PSI) named Stable Point Network (SPN). This technique is capable of estimating mean deformation velocity maps of the ground surface and displacement time series from Synthetic Aperture Radar (SAR) images. A dataset acquired between January 2004 and December 2008 from ERS-2 and ENVISAT sensors has been processed measuring maximum subsidence and uplift rates of -25.6 and 7.54 mm/year respectively for the whole area. These data have been validated against ground subsidence measurements and compared with subsidence triggering and conditioning factors by means of a Geographical Information System (GIS). The spatial analysis shows a good relationship between subsidence and piezometric level evolution, pumping wells location, river distance, geology, the Arab wall, previously proposed subsidence predictive model and soil thickness. As a consequence, the paper shows the usefulness and the potential of combining Differential SAR Interferometry (DInSAR) and spatial analysis techniques in order to improve the knowledge of this kind of phenomenon. (C) 2011 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Geological

Predicting the Uniaxial Compressive Strength of a Limestone Exposed to High Temperatures by Point Load and Leeb Rebound Hardness Testing

Maria Elvira Garrido, Ferry B. Petnga, Victor Martinez-Ibanez, Jose B. Seron, Carlos Hidalgo-Signes, Roberto Tomas

Summary: This research focuses on the impact of high temperatures and cooling methods on the strength and hardness of a limestone widely used in historic buildings in Eastern Spain, as well as studying the possibility of indirectly obtaining UCS through PLT and LHT tests. The results show significant decreases in UCS, PLT index, and LHT index as temperature increases, with slightly higher values observed in slowly cooled samples. This study provides valuable correlations for predicting UCS in historic buildings affected by fire, using faster and easier non-destructive methods.

ROCK MECHANICS AND ROCK ENGINEERING (2022)

Article Engineering, Environmental

Influence of water content on the basic friction angle of porous limestones-experimental study using an automated tilting table

A. Rabat, R. Tomas, M. Cano, I Perez-Rey, J. S. Siles, L. R. Alejano

Summary: Accurately evaluating the shear strength of discontinuities is crucial for determining the safety of mining and civil engineering works. Tilt testing is commonly used, but its results are influenced by multiple factors. However, little research has focused on the impact of water content variations on tilt test results. This study conducted tilt tests on three limestone lithotypes and found that full water saturation caused moderate reductions or increases in the friction angle, depending on the microstructure and mineralogy. Exposure to high humidity did not significantly affect the friction angle. Important considerations related to tilt testing, such as the variability of the sliding angle and the impact of multiple sliding on the same rock surfaces, are also discussed.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2022)

Article Environmental Sciences

A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV

Miguel Cano, Jose Luis Pastor, Roberto Tomas, Adrian Riquelme, Jose Luis Asensio

Summary: This paper proposes a methodology for bridge inspections using images acquired by unmanned aerial vehicles (UAVs). The methodology allows for safe access to upper parts of the structures without traffic disruptions. The images are studied by civil engineers for damage identification and specific inspection forms are completed using the acquired information. The suggested methodology was tested on two railway bridges in France.

REMOTE SENSING (2022)

Article Engineering, Multidisciplinary

Multi-dimensional and long-term time series monitoring and early warning of landslide hazard with improved cross-platform SAR offset tracking method

Yin YuePing, Liu XiaoJie, Zhao ChaoYing, Roberto Tomas, Zhang Qin, Lu Zhong, Li Bin

Summary: The translation discusses the importance of multi-dimensional, long-term time series displacement monitoring in generating early warnings for active landslides and mitigating geohazards. It introduces an improved cross-platform SAR offset tracking method that can estimate high-precision landslide displacements in two and three dimensions, as well as calculate long-term time series displacements over a decade. The method optimizes the traditional SAR offset tracking workflow by incorporating ortho-rectification, adaptive matching window, and displacement inversion network design. Mathematical equations are built to estimate the 2D and 3D long-term time series landslide displacements using cross-platform SAR observations. The proposed method is demonstrated using ALOS/PALSAR-1 and ALOS/PALSAR-2 images of the Laojingbian landslide in China, showing significant improvements over traditional methods. The method also allows for understanding the fine-scale landslide kinematics, performing early warning of hazard, and forecasting future displacement evolution.

SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2022)

Article Environmental Sciences

Analysis of regional large-gradient land subsidence in the Alto Guadalent?n Basin (Spain) using open-access aerial LiDAR datasets

Liuru Hu, Maria Navarro-Hernandez, Xiaojie Liu, Roberto Tomas, Xinming Tang, Guadalupe Bru, Pablo Ezquerro, Qingtao Zhang

Summary: This study proposes a new point cloud differencing methodology to detect land subsidence at a basin scale. The method is applied to LiDAR datasets acquired in 2009 and 2016, and the results are compared with continuous GNSS stations and InSAR datasets, showing good agreement. The study also compares the results with the distribution of compressible soil thickness, revealing a clear relationship.

REMOTE SENSING OF ENVIRONMENT (2022)

Article Engineering, Geological

Assessing water-induced changes in tensile behaviour of porous limestones by means of uniaxial direct pull test and indirect methods

Alvaro Rabat, Roberto Tomas, Miguel Cano

Summary: Understanding the tensile behavior of rocks and its water-induced variation is crucial for designing mining and civil engineering structures and assessing geotechnical hazards. This study expands knowledge by determining the tensile properties of porous limestone under dry and water-saturated conditions through direct and indirect methods. The results show that water saturation significantly reduces the tensile strength and modulus of the limestone, and the petrological characteristics and mineral composition are analyzed to explain the observed softening. Accurate correlations between direct and indirect tensile strength parameters are established, providing a novel and useful contribution to geomechanics.

ENGINEERING GEOLOGY (2023)

Article Geography, Physical

Revealing the time lag between slope stability and reservoir water fluctuation from InSAR observations and wavelet tools- a case study in Maoergai Reservoir (China)

Ningling Wen, Keren Dai, Roberto Tomas, Mingtang Wu, Chen Chen, Jin Deng, Xianlin Shi, Wenkai Feng

Summary: The potential landslides in the river bank of Maoergai hydropower station were monitored using SBAS-InSAR, and the fluctuation of reservoir water level was found to be the main triggering factor for slope displacement. The displacement showed a seasonal trend and had a common power with reservoir water fluctuation at an interannual scale of one year. By using InSAR and wavelet tools, this study quantitatively revealed the time lag between slope stability and reservoir water fluctuation, providing strong support for the analysis of landslide mechanisms in the Maoergai reservoir area.

GISCIENCE & REMOTE SENSING (2023)

Article Engineering, Geological

Working performance and mechanism of a novel upper-hollow drainage anti-slide pile under the effect of reservoir water fluctuation and precipitation

Da Huang, Yi-xiang Song, Zhao Li, Shi-lin Luo, Jian-bing Peng, Roberto Tomas

Summary: In this study, the working performance and mechanism of a novel upper-hollow drainage anti-slide pile (UDAP) were evaluated through physical model tests and numerical simulations. The results showed that UDAPs have excellent drainage performance and can reduce both earth pressure and pore water pressure. Numerical simulations conducted on the Quchi landslide in China demonstrated that UDAPs have a significantly better retaining effect compared to conventional anti-slide piles (CAPs), reducing landslide thrust and deformation. These findings provide an important basis for future research, design, popularization, and application of UDAPs.

ACTA GEOTECHNICA (2023)

Article Computer Science, Interdisciplinary Applications

Performance and application of a novel drainage anti-slide pile on accumulation landslide with a chair-like deposit-bedrock interface in the Three Gorges Reservoir area, China

Shi-lin Luo, Da Huang, Jian-bing Peng, Ailifeila Aierken, Zhao Li, Xi-bin Kuang, Roberto Tomas

Summary: This paper studies the development of landslides in the Three Gorges Reservoir area and the factors affecting them. The Outang landslide, a typical accumulation landslide, is taken as an example. The study finds that the displacements of the landslide show a step-like pattern over time, with rainfall and reservoir water being the main factors affecting the upper and lower parts of the landslide. The study also proposes a novel drainage anti-slide pile and verifies its drainage performance through physical model testing.

COMPUTERS AND GEOTECHNICS (2023)

Article Engineering, Geological

Geomorphological characterization, remote sensing monitoring, and modeling of a slow-moving landslide in Alcoy (Southern Spain)

R. Tomas, E. Diaz, W. T. Szeibert, X. Liu, J. M. Lopez-Sanchez, C. Zhao

Summary: This paper analyzes an active landslide in Alcoy, Spain, which affects a road and industrial buildings of historical significance. High-resolution SAR images from the PAZ satellite were used to determine the behavior of the landslide, and detailed geomorphological mapping and structural damage analysis were conducted. 3D modeling confirmed the overall instability of the area and the relationship between the landslide and rainfall and road construction. This information is crucial for local authorities to effectively manage the landslide.

LANDSLIDES (2023)

Article Engineering, Geological

Preliminary analysis of the mechanisms, characteristics, and causes of a recent catastrophic structurally controlled rock planar slide in Esposende (northern Portugal)

Roberto Tomas, Marisa Pinheiro, Pedro Pinto, Eduardo Pereira, Tiago Miranda

Summary: A catastrophic rock planar slide occurred in Palmeira de Faro, Esposende, Portugal on November 23, 2022, resulting in the death of two people in a building close to the affected cut slope. The slide was caused by a granitic rock mass that was heavily weathered and had been excavated in some areas by mechanical means and blasting. The trajectory of the displaced material was oblique and followed the structural control of the instability caused by discontinuity sets. Unfavorable geological conditions, abnormal rainfall, and excavations on the cut slope may have contributed to the instability.

LANDSLIDES (2023)

Article Engineering, Geological

Identification and evaluation of the high mountain upper slope potential landslide based on multi-source remote sensing: the Aniangzhai landslide case study

Keren Dai, Zhiyu Li, Qiang Xu, Roberto Tomas, Tao Li, Liming Jiang, Jianyong Zhang, Tao Yin, Hao Wang

Summary: This study used multi-source remote sensing techniques to identify and evaluate the upper slope of the Aniangzhai landslide in Danba County, Sichuan Province, China. By using unmanned aerial vehicle (UAV) photogrammetry, light detection and ranging (LiDAR), and satellite-based interferometric synthetic aperture radar (InSAR) techniques, a 3D model and a digital elevation model (DEM) of the landslide were obtained, confirming the presence of large cracks and revealing its activity. The results demonstrated the usefulness of an integrated method in identifying and evaluating the potential hazard of high-altitude upper slopes and provided a reference for mitigating potential damage in the future.

LANDSLIDES (2023)

Article Environmental Sciences

Updating Active Deformation Inventory Maps in Mining Areas by Integrating InSAR and LiDAR Datasets

Liuru Hu, Roberto Tomas, Xinming Tang, Juan Lopez Vinielles, Gerardo Herrera, Tao Li, Zhiwei Liu

Summary: This study demonstrates the potential of using space-borne InSAR and airborne LiDAR techniques, combined with a simple slope stability geotechnical model, to obtain and update inventory maps of active deformations in mining areas. By analyzing Sentinel-1 InSAR imagery and LiDAR point cloud data, various active deformation areas, including consolidation of waste dumps, earthworks, erosion, and landslides, were identified in the Sierra de Cartagena-La Union mining area in southeast Spain. The integration of InSAR and LiDAR with simple geotechnical models proves to be effective in updating inventory maps of active deformation areas in mining zones.

REMOTE SENSING (2023)

Article Environmental Sciences

Retrieving the Kinematic Process of Repeated-Mining-Induced Landslides by Fusing SAR/InSAR Displacement, Logistic Model, and Probability Integral Method

Hengyi Chen, Chaoying Zhao, Roberto Tomas, Liquan Chen, Chengsheng Yang, Yuning Zhang

Summary: The study combines SAR offset tracking and interferometric phase to obtain the large-gradient surface displacement. A multi-segment logistic model is proposed to simulate the temporal effect induced by repeated mining activities. The simplified probability integral method (SPIM) is used to separate the displacement of mining subsidence and landslide and assess their impact. The results show that repeated mining activities not only cause land subsidence and rock avalanches, but also accelerate landslide displacement.

REMOTE SENSING (2023)

Article Engineering, Civil

Analysing the Impact of Land Subsidence on the Flooding Risk: Evaluation Through InSAR and Modelling

Maria I. Navarro-Hernandez, Javier Valdes-Abellan, Roberto Tomas, Serena Tessitore, Pablo Ezquerro, Gerardo Herrera

Summary: This study compared two different scenarios of land subsidence in flood event models for 1992 and 2016. It found that there was a 2.04 km2 increase in flooded areas with water depths exceeding 0.7 m over the 14-year period. These findings were used to create a flood risk map and assess the economic flood risk.

WATER RESOURCES MANAGEMENT (2023)

Article Engineering, Civil

Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin

Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani

Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological modelling of large-scale karst-dominated basin using a grid-based distributed karst hydrological model

Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen

Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction

Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao

Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty separation of drought projection in the 21st century using SMILEs and CMIP6

Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan

Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying the natural flood management potential of leaky dams in upland catchments, Part II: Leaky dam impacts on flood peak magnitude

Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown

Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques

Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu

Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Characterizing nitrogen dynamics and their response to sediment dredging in a lowland rural river

Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao

Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin

Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang

Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Permafrost on the Tibetan Plateau is degrading: Historical and projected trends

Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu

Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying precipitation moisture contributed by different atmospheric circulations across the Tibetan Plateau

Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu

Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

A methodology to improve the accuracy of Total phosphorous diffuse load estimates from agroforestry watersheds

Manuel Almeida, Antonio Rodrigues, Pedro Coelho

Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Prediction of dissolved organic nitrogen via spectroscopic fingerprint in the shallow riverbed sediments of effluent-dominated rivers: A case study in Xi'an, northwest China

Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang

Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty analysis of 100-year flood maps under climate change scenarios

Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal

Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological consequences of controlled drainage with subirrigation

Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus

Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Understanding the global success criteria for managed aquifer recharge schemes

Constantin Seidl, Sarah Ann Wheeler, Declan Page

Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.

JOURNAL OF HYDROLOGY (2024)