globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2016.06.013
Scopus记录号: 2-s2.0-84997771283
论文题名:
Monitoring dam structural health from space: Insights from novel InSAR techniques and multi-parametric modeling applied to the Pertusillo dam Basilicata, Italy
作者: Milillo P; , Perissin D; , Salzer J; T; , Lundgren P; , Lacava G; , Milillo G; , Serio C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52
起始页码: 221
结束页码: 229
语种: 英语
英文关键词: Dam ; HST and HTT model ; Interferometry ; SAR ; Time-series analysis
Scopus关键词: COSMO-SkyMed ; dam ; GPS ; modeling ; monitoring system ; radar interferometry ; synthetic aperture radar ; TerraSAR-X ; time series analysis ; Basilicata ; Italy ; Pertusillo Lake ; Potenza
英文摘要: The availability of new constellations of synthetic aperture radar (SAR) sensors is leading to important advances in infrastructure monitoring. These constellations offer the advantage of reduced revisit times, providing low-latency data that enable analysis that can identify infrastructure instability and dynamic deformation processes. In this paper we use COSMO-SkyMed (CSK) and TerraSAR-X (TSX) data to monitor seasonal induced deformation at the Pertusillo dam (Basilicata, Italy) using multi-temporal SAR data analysis. We analyzed 198 images spanning 2010–2015 using a coherent and incoherent PS approach to merge COSMO-SkyMed adjacent tracks and TerraSAR-X acquisitions, respectively. We used hydrostatic-seasonal-temporal (HST) and hydrostatic-temperature-temporal (HTT) models to interpret the non-linear deformation at the dam wall using ground measurements together with SAR time-series analysis. Different look geometries allowed us to characterize the horizontal deformation field typically observed at dams. Within the limits of our models and the SAR acquisition sampling we found that most of the deformation at the Pertusillo dam can be explained by taking into account only thermal seasonal dilation and hydrostatic pressure. The different models show slightly different results when interpreting the aging term at the dam wall. The results highlight how short-revisit SAR satellites in combination with models widely used in the literature for interpreting pendulum and GPS data can be used for supporting structural health monitoring and provide valuable information to ground users directly involved in field measurements. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80016
Appears in Collections:气候变化事实与影响

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作者单位: Scuola di Ingegneria, Universita degli Studi della BasilicataPotenza, Italy; Seismological Laboratory, California Institute of Technology, Pasadena, CA, United States; NASA, Jet Propulsion Laboratory, Pasadena, CA, United States; School of Civil Engineering, Purdue University, West Lafayette, IN, United States; Department 2: Physics of the Earth, GFZ German Research Centre for Geosciences, Potsdam, Germany; ASI Italian Space Agency, Matera, Italy

Recommended Citation:
Milillo P,, Perissin D,, Salzer J,et al. Monitoring dam structural health from space: Insights from novel InSAR techniques and multi-parametric modeling applied to the Pertusillo dam Basilicata, Italy[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52
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