https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Quantifying water storage change and land subsidence induced by reservoir impoundment using GRACE, Landsat, and GPS data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46606 2. In this paper, a forward model is developed to determine the increased water surface level corresponding to GRACE observations, estimated to be about 120 m. In contrast to GRACE, the TWS derived from land surface models cannot capture the increased ΔTWS, due to the lack of reservoir routing algorithms in the models. In addition, the land subsidence was calculated using the disk load model constructed based on the GRACE-derived lake level and Landsat-derived lake extent; the result is validated with the GPS data from BIN1 station, located at the western coast of Borneo. The commencement stage of the Bakun Dam induces the large-scale land subsidence, which causes the GPS-BIN1 station to subside by ~9 mm, and move toward the Bakun Lake by ~4 mm. Computation of the surface displacements directly from GRACE spherical harmonic coefficient data fails to capture the subsidence feature, mainly due to the truncation error. Overall, this study demonstrates that evaluating GRACE in conjunction with Landsat, LSMs, and GPS data allows the exploitation of the gravity signal at a much smaller spatial scale than its intrinsic resolution. Benefiting from global coverage, the newly developed satellite-based algorithm is a valuable tool for assessing the impacts of reservoir operation on hydrological and geophysical changes from local to regional scales.]]> Tue 14 May 2024 10:25:42 AEST ]]> Sea level rise in the Samoan Islands escalated by viscoelastic relaxation after the 2009 Samoa-Tonga earthquake https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37420 Thu 12 Nov 2020 17:52:52 AEDT ]]> Deformation behaviour of clay under repeated one-dimensional unloading-reloading https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26442 Sat 24 Mar 2018 07:27:17 AEDT ]]> A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50385 Mon 24 Jul 2023 13:23:30 AEST ]]>