Earth Observations for Geohazards: Present and Future Challenges

Earth Observations (EO) encompasses different types of sensors (e.g., Synthetic Aperture Radar, Laser Imaging Detection and Ranging, Optical and multispectral) and platforms (e.g., satellites, aircraft, and Unmanned Aerial Vehicles) and enables us to monitor and model geohazards over regions at different scales in which ground observations may not be possible due to physical and/or political constraints. EO can provide high spatial, temporal and spectral resolution, stereo-mapping and all-weather-imaging capabilities, but not by a single satellite at a time. Improved satellite and sensor technologies, increased frequency of satellite measurements, and easier access and interpretation of EO data have all contributed to the increased demand for satellite EO data. EO, combined with complementary terrestrial observations and with physical models, have been widely used to monitor geohazards, revolutionizing our understanding of how the Earth system works. This Special Issue presents a collection of scientific contributions focusing on innovative EO methods and applications for monitoring and modeling geohazards, consisting of four Sections: (1) earthquake hazards; (2) landslide hazards; (3) land subsidence hazards; and (4) new EO techniques and services.Part of this work was supported by the UK Natural Environmental Research Council (NERC) through the Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET, ref.: come30001) and the LICS and CEDRRIC projects (refs. NE/K010794/1 and NE/N012151/1, respectively), European Space Agency through the ESA-MOST DRAGON-4 projects (ref. 32244) and the Spanish Ministry of Economy and Competitiveness and EU FEDER funds under projects TIN2014-55413- C2-2-P and ESP2013-47780-C2-2-R

Aspectos técnico-científicos de barragens no Brasil: uma abordagem teórica

The safety of a dam is the result of a series of factors, including structural, geotechnical, hydraulic, operational and environmental aspects. In Brazil, Law No. 12.334 of September 2010 establishes the National Dam Safety Policy, which requires safety reports and monitoring inspections for existing dams. The inspection comprises a set of devices installed on the dam, which are used to assess the structural behavior based on performance parameters of the structure, such as displacements, flows, stresses, slopes and others. Dam auscultation procedures, historically, have been performed since the 1950s. Since then, there have been significant advances in instrumentation and dam auscultation methods. This work presents a theoretical approach on technical and scientific aspects of dams in Brazil, based on a state-of-the-art literature review, involving auscultation of dams in the context of design codes, concepts, instrumentation, safety, procedures and monitoring methods.A segurança de uma barragem é resultante de uma série de fatores, dentre os quais podem ser citados aspectos estruturais, geotécnicos, hidráulicos, operacionais e ambientais. No Brasil, a Lei nº 12.334 de setembro de 2010 estabelece a Política Nacional de Segurança de Barragens. A instrumentação compõe um conjunto de dispositivos instalados nas barragens, que são utilizados para avaliar o seu comportamento estrutural a partir de parâmetros de desempenho da estrutura, tais como deslocamentos, vazões, tensões, inclinações e outros. Procedimentos de auscultação de barragens, historicamente, tem sido realizado desde a década de 50, conforme a literatura. Desde então, houve avanços significativos na instrumentação e nos métodos de auscultação de barragens. Este trabalho tem como objetivo apresentar uma abordagem teórica sobre aspectos técnico-científicos de barragens no Brasil, fundamentada numa revisão de literatura no estado da arte, envolvendo auscultação de barragens no contexto de normas, conceitos, instrumentação, segurança, procedimentos e métodos de monitoramento.Uminho -Universidade do Minho(undefined

Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring

In recent years, the measurement of dam displacements has benefited from a great improvement of existing technology, which has allowed a higher degree of automation. This has led to data collection with an improved temporal and spatial resolution. Robotic total stations and GNSS (Global Navigation Satellite System) techniques, often in an integrated manner, may provide efficient solutions for measuring 3D displacements on precise locations on the outer surfaces of dams. On the other hand, remote-sensing techniques, such as terrestrial laser scanning, ground-based SAR (synthetic aperture radar) and satellite differential interferometric SAR offer the chance to extend the observed region to a large portion of a structure and its surrounding areas, integrating the information that is usually provided in a limited number of in-situ control points. The design and implementation of integrated monitoring systems have been revealed as a strategic solution to analyze different situations in a spatial and temporal context. Research devoted to the optimization of data processing tools has evolved with the aim of improving the accuracy and reliability of the measured deformations. The analysis of the observed data for the interpretation and prediction of dam deformations under external loads has been largely investigated on the basis of purely statistical or deterministic methods. The latter may integrate observation from geodetic, remote-sensing and geotechnical/structural sensors with mechanical models of the dam structure. In this paper, a review of the available technologies for dam deformation monitoring is provided, including those sensors that are already applied in routinary operations and some experimental solutions. The aim was to support people who are working in this field to have a complete view of existing solutions, as well as to understand future directions and trends

Spaceborne InSAR for dam stability

PhD ThesisThis study evaluates the feasibility of the use of satellite radar for dam deformation monitoring. Spaceborne Interferometric Synthetic Aperture Radar (InSAR) has long been used to monitor geohazards, including earthquakes, landslides, and volcanos. However, few studies have recently investigated its feasibility for localised deformation monitoring such as of earth dams. Here two case studies are presented of the monitoring of dams in Iraq. Mosul dam is one of the most dangerous dams in the world. Previous studies have reported that over a million human lives would be potentially at risk should dam failure occur. Therefore, investigation of its health using precise and continuous observations is crucial. This was achieved with two independent geodetic datasets from levelling and InSAR, and the results show continuous vertical displacements on the dam crest due to the dissolution of foundations. Vertical displacement rate estimates from levelling and InSAR for the period 2003-2010 are in good agreement, with a correlation of 0.93 and an RMSE of ± 1.7 mm. For the period 2014- 2017, the correlation is 0.95 and the RMSE is ± 0.9 mm. The movement of the dam was evaluated using settlement index which is not referring to critical instability of the dam. However, the spatial and temporal displacement anomalies emphasize that a careful monitoring and remedial work should continue. The continuous displacement in the dam foundation could loosen the compaction of the embankment and result in internal erosion. In a separate study, Darbandikhan dam was monitored using a global positioning system (GPS), levelling, and Sentinel-1 data to evaluate its stability after the 2017 Mw 7.3 Sarpol-e Zahab earthquake. The large gradient of the dam’s displacements on its crest hindered the estimation of co-seismic displacements using medium-resolution SAR data. However, Sentinel-1 images were sufficient to examine the dam’s stability before and after the earthquake. The results show that the dam was stable between October 2014 and November 2017, but after the earthquake continuous subsidence on the dam crest occurred between November 2017 and March 2018. For the first time the stability of the Mosul and Darbandikhan dams has been assessed using an integration of InSAR and in-situ observations. Different types of deformations were recognized, which helped in interpreting the dam’s deformation mechanismsMinistry of Higher Education (MOHE) and the State Commission of Surveys (SCOS) in Ira

Urban Deformation Monitoring using Persistent Scatterer Interferometry and SAR tomography

This book focuses on remote sensing for urban deformation monitoring. In particular, it highlights how deformation monitoring in urban areas can be carried out using Persistent Scatterer Interferometry (PSI) and Synthetic Aperture Radar (SAR) Tomography (TomoSAR). Several contributions show the capabilities of Interferometric SAR (InSAR) and PSI techniques for urban deformation monitoring. Some of them show the advantages of TomoSAR in un-mixing multiple scatterers for urban mapping and monitoring. This book is dedicated to the technical and scientific community interested in urban applications. It is useful for choosing the appropriate technique and gaining an assessment of the expected performance. The book will also be useful to researchers, as it provides information on the state-of-the-art and new trends in this fiel

Evaluasi Keamanan Tubuh Bendungan Pra dan Pasca Impounding Menggunakan Data Instrumentasi pada Bendungan Raknamo di Propinsi Nusa Tenggara Timur

Keamanan pada bendungan tipe urugan sangat penting, maka perlu dilakukan pengecekan mengenai kinerja dan perilaku bendungan dengan cara pengamatan menggunakan peralatan atau instrumen. Instrumentasi dapat memberikan data evaluasi dalam program pemantauan dan pengawasan keamanan bendungan untuk keperluan pada masa mendatang. Ketika muka air waduk tinggi maka akan mempengaruhi semakin besar tekanan air pori dan juga akan berdampak pada peningkatan debit rembesan serta dapat mempengaruhi terjadinya settlement pada tubuh bendungan. Sehingga Tesis ini akan membahas keamanan bendungan sampai pada saat pola operasi waduk itu dilakukan. Tesis ini ditulis untuk dapat mengevaluasi pola tekanan air pori, rembesan dan settlement yang terjadi pada tubuh bendungan Raknamo setelah konstruksi berdasarkan data instrumentasi dan hasil analisis numeric. Hasil analisis juga akan dievaluasi terhadap keamanan tubuh bendungan saat terjadi rembesan, settlement, dan kestabilan lereng. Analisis numeric yang dilakukan untuk mengetahui pola tekanan air pori, rembesan, settlement, dan kestabilan lereng pada tubuh bendungan Raknamo menggunakan aplikasi Geostudio 2012. Berdasarkan hasil analisis numeric maupun actual di daerah studi pola tekanan air pori memiliki bentuk parabola terbuka ke bawah pada penampang MD.10, untuk instrumen (VP.05 - VP.09) mempunyai tren sama dengan perubahan muka air di waduk, sedangkan untuk instrumen (VP.10, VP.11) mempunyai tren yang berbeda dengan perubahan muka air di waduk. Sedangkan Pola tekanan air pori pada penampang MD.16 untuk instrumen (VP.05, VP.07, VP.09, VP.11) memiliki tren yang sama dengan perubahan muka air di waduk, sedangkan instrumen (VP.06, VP.08, VP.10, VP.12, VP.13, VP.14, VP.15) memiliki tren yang berbeda dengan perubahan muka air di waduk. Pola rembesan pada tubuh bendugan berdasarkan hasil numeric memiliki bentuk parabola terbuka ke bawah dan juga mempunyai tren yang sama dengan perubahan muka air di waduk, sedangkan hasil actual memiliki tren yang sedikit berbeda dengan perubahan muka air di waduk. Pola settlement pada penampang MD.11 untuk instrumen (SP.01, PM.01, PM.02) memiliki bentuk linear dan mempunyai tren cenderung sama selama 2 tahun, untuk instrumen (PM.03, PM.04, PM.05) memiliki tren cenderung berbeda selama 1,3 tahun. Sedangkan Pola settlement pada penampang MD.17 untuk instrumen (SP.01, PM.01, PM.02) mempunyai tren yang sama selama 2 tahun, untuk instrumen (PM.03, PM.04, PM.05) memiliki tren yang berbeda selama 1,8 tahun. Evaluasi keamanan terhadap rembesan, settlement dan stabilitas lereng yang terjadi pada tubuh bendungan Raknamo masih dalam kondisi aman karena tidak melewati batas keamanan yang diijinka

Sensor Signal and Information Processing II

In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem solving. These algorithms have the capacity to generalize and discover knowledge for themselves and learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topic ranges from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspiring filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensors processing

InSAR Observation and Numerical Modeling of the Earth-Dam Displacement of Shuibuya Dam (China)

How to accurately determine the mechanical parameters of rockfill is one of the key issues of concrete-face rockfill dams. Parameter back-analysis using internal or external monitoring data has been proven to be an efficient way to solve this problem. However, traditional internal or external monitoring methods have limitations in efficiency and long-term monitoring. In this paper, the displacement of the Shuibuya concrete-face rockfill dam is monitored by the space-borne Interferometric Synthetic Aperture Radar (InSAR) time series method. Using the InSAR results and the finite element method, the back-analysis of the mechanical parameters of the rockfill dam is investigated, and the back-analysis results of InSAR and levelling are compared. A high correlation of 0.99 for the displacement results generated from InSAR and the levelling offers good agreement between the two methods. The agreement provides confidence that the external InSAR monitoring measurement allows producing a reliable back-analysis and captures the displacement properties of the dam. Based on the identified parameters from the InSAR results, the dam displacement is predicted. The prediction of the maximum settlement of the dam is 2.332 m by the end of 2020, according to the dam displacement characteristics, which agrees well with the results derived from the recorded internal monitoring data. Therefore, the external monitoring results from the InSAR observation can be used as a supplement for traditional monitoring methods to analyse the parameters of the dam

InSAR Observation and Numerical Modeling of the Earth-Dam Displacement of Shuibuya Dam (China)

How to accurately determine the mechanical parameters of rockfill is one of the key issues of concrete-face rockfill dams. Parameter back-analysis using internal or external monitoring data has been proven to be an efficient way to solve this problem. However, traditional internal or external monitoring methods have limitations in efficiency and long-term monitoring. In this paper, the displacement of the Shuibuya concrete-face rockfill dam is monitored by the space-borne Interferometric Synthetic Aperture Radar (InSAR) time series method. Using the InSAR results and the finite element method, the back-analysis of the mechanical parameters of the rockfill dam is investigated, and the back-analysis results of InSAR and levelling are compared. A high correlation of 0.99 for the displacement results generated from InSAR and the levelling offers good agreement between the two methods. The agreement provides confidence that the external InSAR monitoring measurement allows producing a reliable back-analysis and captures the displacement properties of the dam. Based on the identified parameters from the InSAR results, the dam displacement is predicted. The prediction of the maximum settlement of the dam is 2.332 m by the end of 2020, according to the dam displacement characteristics, which agrees well with the results derived from the recorded internal monitoring data. Therefore, the external monitoring results from the InSAR observation can be used as a supplement for traditional monitoring methods to analyse the parameters of the dam