Numerical Example to Estimate Groundwater Level Changes using Time-lapse Microgravity Data

Abstract The study using time-lapse microgravity (TLM) data can be helpfull to understand near surface variation caused by hidrological variation. Shallow groundwater highly correlated with density as source, because the changes are very close surface. For several days (or weeks or months), we observe in of water saturated zones. for simplified table changes. purpose this work is application level estimation. Using numerical example, utilize lateral signal and also topography. In order do estimation second TLM survey, need from first survey (and vice versa). After applied algorithm area (5 × 5) km square Blora regency. shallow (0 14 meters below surface) observed after (2016) survey. From work, constrained model data. iterative calculation anomaly (value range -80 +80 microGal) topography (in 90 230 meters), get (2014) -7 7