The atmosphere correction in SBAS D-InSAR land subsidence monitoring application: A case study in Jiaxing-Huzhou plain, China

Author(s):  
Fan Wang ◽  
Zhaoquan Huang ◽  
Lifan Zhou ◽  
Dengrong Zhang
Author(s):  
Su-Ping Liu ◽  
Bin Shi ◽  
Kai Gu ◽  
Cheng-Cheng Zhang ◽  
Song Zhang ◽  
...  

Abstract. Land subsidence is a worldwide geohazard caused by various factors, and its direct impact is loss of elevation, which is especially severe in coastal areas due to sea level rise. Quantifying contributions of compressed strata is significant for evaluating the subsidence. In this paper, we used distributed fiber optic sensing (DFOS) with Brillouin scattering to monitor the strain distribution along optical cables embedded in a borehole located in Tianjin, China. The novel technique revealed that the land subsidence rate was 21.2 mm a−1 from 2017 to 2019. The strata contributed to the subsidence have been identified in the range of 3 to 35 m. The results showed good agreement with those obtained by a group of extensometers. We demonstrated that DFOS could be a supplement to land subsidence monitoring technologies in coastal areas.


2016 ◽  
Vol 8 (4) ◽  
pp. 338 ◽  
Author(s):  
Tuan Le ◽  
Chung-Pai Chang ◽  
Xuan Nguyen ◽  
Akano Yhokha

2020 ◽  
Vol 103 (3) ◽  
pp. 3043-3061
Author(s):  
Su-Ping Liu ◽  
Bin Shi ◽  
Kai Gu ◽  
Cheng-Cheng Zhang ◽  
Ji-Long Yang ◽  
...  

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 219 ◽  
Author(s):  
Antonio-Juan Collados-Lara ◽  
David Pulido-Velazquez ◽  
Rosa María Mateos ◽  
Pablo Ezquerro

In this work, we developed a new method to assess the impact of climate change (CC) scenarios on land subsidence related to groundwater level depletion in detrital aquifers. The main goal of this work was to propose a parsimonious approach that could be applied for any case study. We also evaluated the methodology in a case study, the Vega de Granada aquifer (southern Spain). Historical subsidence rates were estimated using remote sensing techniques (differential interferometric synthetic aperture radar, DInSAR). Local CC scenarios were generated by applying a bias correction approach. An equifeasible ensemble of the generated projections from different climatic models was also proposed. A simple water balance approach was applied to assess CC impacts on lumped global drawdowns due to future potential rainfall recharge and pumping. CC impacts were propagated to drawdowns within piezometers by applying the global delta change observed with the lumped assessment. Regression models were employed to estimate the impacts of these drawdowns in terms of land subsidence, as well as to analyze the influence of the fine-grained material in the aquifer. The results showed that a more linear behavior was observed for the cases with lower percentage of fine-grained material. The mean increase of the maximum subsidence rates in the considered wells for the future horizon (2016–2045) and the Representative Concentration Pathway (RCP) scenario 8.5 was 54%. The main advantage of the proposed method is its applicability in cases with limited information. It is also appropriate for the study of wide areas to identify potential hot spots where more exhaustive analyses should be performed. The method will allow sustainable adaptation strategies in vulnerable areas during drought-critical periods to be assessed.


2021 ◽  
Vol 80 (4) ◽  
pp. 3217-3231
Author(s):  
Neha Kadiyan ◽  
R. S. Chatterjee ◽  
Pranshu Pranjal ◽  
Pankaj Agrawal ◽  
S. K. Jain ◽  
...  

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