A. Venmans, Martin op de Kelder, J. D. De Jong, M. Korff, Martijn Houtepen
{"title":"InSAR卫星对内城码头附近建筑物监测的可靠性","authors":"A. Venmans, Martin op de Kelder, J. D. De Jong, M. Korff, Martijn Houtepen","doi":"10.5194/piahs-382-195-2020","DOIUrl":null,"url":null,"abstract":"Abstract. Amsterdam currently has a huge task of assessing and\npotentially upgrading its quay walls along the historic canals. Before\nreplacement can take place, Amsterdam needs to determine the potential\nimpact the replacement can have on the nearby buildings. The rate of\nvertical deformation of the adjacent buildings is used as indicator of\npotential foundation problems. To determine that rate, the current practice\nis to monitor the buildings by levelling for two years at least. This study\nshows that application of satellite measurements using Permanent Scatterer\nInterferometric Synthetic Aperture Radar (PS-InSAR) could reduce the\nmonitoring period to a few months. The paper describes the statistical\nprocedure that has been applied to levelling and satellite measurements to\nverify their reliability and determine the rate of vertical deformation of\nthe buildings. The procedure was applied in three case studies. The rates of\ndeformation observed in the InSAR measurements are in good agreement with\nthe rates of deformation observed in the levelling in two of the case\nstudies. The locally optimized InSAR data set with observations in the\nperiod 2014–2019 provides an almost 100 % coverage of reliable data\npoints for all buildings in the case studies. More experience will need to\nbe gained in the interpretation of InSAR measurements with respect to\nvulnerability of the buildings. Also, the procedure may be extended to\ninclude analysis of non-linear trends such as second order trends and\nseasonal effects.\n","PeriodicalId":53381,"journal":{"name":"Proceedings of the International Association of Hydrological Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Reliability of InSAR satellite monitoring of buildings near inner city quay walls\",\"authors\":\"A. Venmans, Martin op de Kelder, J. D. De Jong, M. Korff, Martijn Houtepen\",\"doi\":\"10.5194/piahs-382-195-2020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Amsterdam currently has a huge task of assessing and\\npotentially upgrading its quay walls along the historic canals. Before\\nreplacement can take place, Amsterdam needs to determine the potential\\nimpact the replacement can have on the nearby buildings. The rate of\\nvertical deformation of the adjacent buildings is used as indicator of\\npotential foundation problems. To determine that rate, the current practice\\nis to monitor the buildings by levelling for two years at least. This study\\nshows that application of satellite measurements using Permanent Scatterer\\nInterferometric Synthetic Aperture Radar (PS-InSAR) could reduce the\\nmonitoring period to a few months. The paper describes the statistical\\nprocedure that has been applied to levelling and satellite measurements to\\nverify their reliability and determine the rate of vertical deformation of\\nthe buildings. The procedure was applied in three case studies. The rates of\\ndeformation observed in the InSAR measurements are in good agreement with\\nthe rates of deformation observed in the levelling in two of the case\\nstudies. The locally optimized InSAR data set with observations in the\\nperiod 2014–2019 provides an almost 100 % coverage of reliable data\\npoints for all buildings in the case studies. More experience will need to\\nbe gained in the interpretation of InSAR measurements with respect to\\nvulnerability of the buildings. Also, the procedure may be extended to\\ninclude analysis of non-linear trends such as second order trends and\\nseasonal effects.\\n\",\"PeriodicalId\":53381,\"journal\":{\"name\":\"Proceedings of the International Association of Hydrological Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Association of Hydrological Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5194/piahs-382-195-2020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Association of Hydrological Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/piahs-382-195-2020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
Reliability of InSAR satellite monitoring of buildings near inner city quay walls
Abstract. Amsterdam currently has a huge task of assessing and
potentially upgrading its quay walls along the historic canals. Before
replacement can take place, Amsterdam needs to determine the potential
impact the replacement can have on the nearby buildings. The rate of
vertical deformation of the adjacent buildings is used as indicator of
potential foundation problems. To determine that rate, the current practice
is to monitor the buildings by levelling for two years at least. This study
shows that application of satellite measurements using Permanent Scatterer
Interferometric Synthetic Aperture Radar (PS-InSAR) could reduce the
monitoring period to a few months. The paper describes the statistical
procedure that has been applied to levelling and satellite measurements to
verify their reliability and determine the rate of vertical deformation of
the buildings. The procedure was applied in three case studies. The rates of
deformation observed in the InSAR measurements are in good agreement with
the rates of deformation observed in the levelling in two of the case
studies. The locally optimized InSAR data set with observations in the
period 2014–2019 provides an almost 100 % coverage of reliable data
points for all buildings in the case studies. More experience will need to
be gained in the interpretation of InSAR measurements with respect to
vulnerability of the buildings. Also, the procedure may be extended to
include analysis of non-linear trends such as second order trends and
seasonal effects.