English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

. This study presents an inversion scheme with uncertaintyanalysis for a land subsidence modelling by a Monte Carlo filter in order tocontribute to the decision-making on the groundwater abstraction. For realtime prediction and uncertainty analysis under the limited computationalresources and available information in emergency situations, one dimensionalvertical land subsidence simulation was adopted for the forward modellingand the null-space Monte Carlo method was applied for the effectiveresampling. The proposed scheme was tested with the existing land subsidencemonitoring data in Tokyo lowland, Japan. The results demonstrated that theprediction uncertainty converges and the prediction accuracy improves as theobserved data increased with time. The computational time was also confirmedto be acceptable range for a real time execution with a laptop.

Land subsidence modelling for decision making on groundwater abstraction under emergency situation