tailieunhanh - Measuring ground subsidence in Hanoi city by radar interferometry

The correlation between the reference leveling velocity and the estimated PSI result is R2 = , and the root mean square error is (mm/year), confirming their good agreement. The study shows that subsidence is most severe in the Haihung silt loam areas in the south of the city. The groundwater extraction resulting from urbanization and urban growth is mainly responsible for the subsidence. | SCIENCE & TECHNOLOGY DEVELOPMENT, Vol. 19, No. K4-2016 Measuring ground subsidence in Hanoi city by radar interferometry Ho Tong Minh Dinh 1 Tran Quoc Cuong 2 Nguyen Duc Anh 2 Le-Toan Thuy 3 1 Institut national de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture (IRSTEA), UMR TETIS, Montepllier, France 2 Institute of Geological Sciences-VAST, Hanoi, Vietnam 3 Centre d’Etudes Spatiales de la Biosphere (CESBIO), Toulouse, France (Manuscript Received on June 28th, 2016, Manuscript Revised on August 16th, 2016) ABSTRACT The rapidly developing urbanization since continuous temporal coverage of the subsidence th the last decade of the 20 century leads to the in Hanoi City. The correlation between the strong groundwater extraction, resulting in the reference leveling velocity and the estimated subsidence phenomena in the Hanoi, Vietnam. PSI result is R2 = , and the root mean Recent advances in the multi-temporal square error is (mm/year), confirming their spaceborne SAR interferometry, especially with good agreement. The study shows that Persistent Scatters Interferometry (PSI) subsidence is most severe in the Haihung silt approach, is the robust remote sensing loam areas in the south of the city. The technique for measuring ground subsidence in groundwater extraction resulting from large scale with millimetric accuracy. This work urbanization and urban growth is mainly has presented an advanced PSI analysis, to responsible for the subsidence. provide unprecedented spatial extent and Keywords: Hanoi, subsidence, PS/DS, Irstea TomoSAR platform 1. INTRODUCTION In Vietnam, flooding becomes a serious problem as more frequent flooding happened both from regular and from extreme climatic events such as tropical storms and typhoons, particularly in Ho Chi Minh City and Hanoi [1]. In response to the flooding challenges, besides climate change adaptation, the knowledge of the Trang 122 ground subsidence such as their spatial .