H13A-1482
Presentation of a High Resolution Time Lapse 3D Groundwater Model of Metsähovi for Calculating the Gravity Effect of Groundwater in Local Scale

Monday, 14 December 2015
Poster Hall (Moscone South)
Tero Mikael Hokkanen and Ari Hartikainen, Aalto University School of Engineering, Department of Civil and Environmental Engineering, Espoo, Finland
Abstract:
INTRODUCTION

The aim of this study is to construct a fine resolution time lapse groundwater (GW) model of Metsähovi (MH). GW, geological, and soil moisture (SM) data were collected for several years to achieve the goal. The knowledge of the behavior of the GW at local scale is essential for superconductive gravimeter (SG) investigations performing in MH.

DESCRIPTION OF THE DATA

Almost 50 sensors have been recorded SM data some 6 years with 1 to 5 minutes sampling frequency. The GW table has been monitored, both in bedrock and in soil, in many stages with all together 15 piezometers. Two geological sampling campaigns were conducted to get the knowledge of hydrological properties of soil in the study area of 200×200 m2 around SG station in MH.

PRINCIPLE OF TIME LAPSE 3D HYDROGEOLOGICAL MODEL

The model of study site consists of the surfaces of ground and bedrock gridded with 2×2 m2 resolution. The height of GW table was interpolated to 2×2×0.1 m3 grid between GW and SM monitoring points. Close to the outline of the study site and areas lacking of sensors GW table was defined by extrapolation and considering the geological information of the area. The bedrock porosity is 2% and soil porosity determined by geological information and SM recordings is from 5 to 35%. Only fully saturated media is considered in the time lapse model excluding unsaturated one.

BENEFICIERS

With a new model the fluctuation of GW table can be followed with ranging time lapses from 1 minute to 1 month. The gravity effect caused by the variation of GW table can be calculated more accurate than before in MH. Moreover, the new model can be validated and refined by measured gravity, i.e. hydrological model can be improved by SG recordings (Figure 1).