Land Subsidence Monitoring and Analysis in Louisiana Using GNSS Daily Solutions

被引:1
|
作者
Abdalla, Ahmed [1 ]
Fernandes, Rui [2 ]
Bos, Machiel [2 ]
Fadil, Abdelali [3 ]
机构
[1] Louisiana State Univ, Ctr GeoInformat, Baton Rouge, LA 70803 USA
[2] Space & Earth Geodet Anal Lab SEGAL, Covilha, Portugal
[3] Cadi Ayyad Univ, Dept Geol, Marrakech, Morocco
关键词
Land subsidence; NSRS; NGS; CORS; C4G; GipsyX; GULFNET; JPL;
D O I
10.1007/978-3-031-43807-3_4
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Land subsidence affects the vertical control component of the height system in Louisiana at a state-wide level. The National Height Modernization System (NSRS) has been initiated by the National Geodetic Survey (NGS) to enhance the vertical component of the NSRS in the USA. In addition to the positional coordinates, NSRS combines scale, gravity, orientation, and their variation with time. In this study, we estimate and analyze the land subsidence in Louisiana using GNSS data since 2013. We selected 15 well-distributed Continuously Operating Reference Stations over the Louisiana State from the GULFNet network, which is managed by the Center for Geoinformatics at Louisiana State University. The daily GNSS files collected from the GULFNET are processed using an automated procedure to overcome and organize the multi-step tasks. These tasks include the preprocessing (to perform quality control), processing with GipsyX software to obtain the daily solutions, and post-processing to estimate the velocities and the associated uncertainty. In the preprocessing task, various applications are employed to organize and process the raw data files and convert them into RINEX. Final orbits and clocks are also downloaded from JPL in order to obtain the daily solutions with respect to ITRF2014 using GipsyX. Finally, the horizontal and vertical velocities are estimated in time series for all stations and analyzed using the Hector software. The analyzed stations show land subsidence; the highest land subsidence rate (-6.15 mm/yr) is detected in the LMCN station on Louisiana south coast.
引用
收藏
页码:21 / 24
页数:4
相关论文
共 50 条
  • [1] Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS
    Hu, Bo
    Chen, Junyu
    Zhang, Xingfu
    SENSORS, 2019, 19 (14)
  • [2] Monitoring of urban land surface subsidence using PSInSAR
    Jun-su Kim
    Duk-Jin Kim
    Sang-Wan Kim
    Joong-Sun Won
    Wooil M. Moon
    Geosciences Journal, 2007, 11
  • [3] Monitoring of urban land surface subsidence using PSInSAR
    Kim, Jun-su
    Kim, Duk-Jin
    Kim, Sang-Wan
    Won, Joong-Sun
    Moon, Wooil M.
    GEOSCIENCES JOURNAL, 2007, 11 (01) : 59 - 73
  • [4] Development of Static Differential Method GNSS CORS UDIP for Monitoring Land Subsidence in Semarang Demak
    Yuwono, B. D.
    Abidin, H. Z.
    Andreas, H.
    Gumilar, I.
    Awaluddin, M.
    Najib
    ADVANCED SCIENCE LETTERS, 2017, 23 (03) : 2207 - 2210
  • [5] Land Subsidence Monitoring in Australia and China using Satellite Interferometry
    Ng, Alex Hay-Man
    Chang, Hsing-Chung
    Zhang, Kui
    Ge, Linlin
    Rizos, Chris
    OBSERVING OUR CHANGING EARTH, 2009, 133 : 743 - 750
  • [6] Evaluation of Land Subsidence Based on Distributed Monitoring and SEM Analysis
    Jiang, Hongtao
    Gu, Kai
    Yin, Jianhua
    Shi, Bin
    Ma, Jiayu
    CONTEMPORARY ISSUES IN GEOENVIRONMENTAL ENGINEERING, 2018, : 196 - 206
  • [7] Houston GNSS Network for Subsidence and Faulting Monitoring: Data Analysis Methods and Products
    Wang, Guoquan
    Greuter, Ashley
    Petersen, Christina M.
    Turco, Michael J.
    JOURNAL OF SURVEYING ENGINEERING, 2022, 148 (04)
  • [8] The centenary of land subsidence monitoring in Shanghai
    Gong, Shi-Liang
    LAND SUBSIDENCE, ASSOCIATED HAZARDS AND THE ROLE OF NATURAL RESOURCES DEVELOPMENT, 2010, 339 : 419 - 419
  • [9] Monitoring land subsidence in semarang, indonesia
    Marfai, Muh Aris
    King, Lorenz
    ENVIRONMENTAL GEOLOGY, 2007, 53 (03): : 651 - 659
  • [10] Monitoring of Coastal Subsidence Changes Based on GNSS Positioning and GNSS-IR
    Xiaolei WANG
    Zijin NIU
    Xiufeng HE
    Runchuan LI
    Journal of Geodesy and Geoinformation Science, 2023, 6 (02) : 71 - 80