MedWater at EGU 2019

We are pleased that at this year’s European Geophysical Union (EGU) the MedWater project was represented by two poster presentations. Both posters dealt with the numerical simulation of the Western Mountain Aquifer in Israel, taking different approaches:

„Quantification of large-scale and long-term groundwater resources in karst aquifers under Mediterranean climate: deterministic versus stochastic approaches“

Poster_EGU2019_DetermanisticVsStochasticApproaches

„Assessment of groundwater recharge processes in a carbonate aquifer under semi-arid climate by an integrated surface-subsurface, multi-continuum approach“

Poster_EGU2019_AssessmentRechargeProcesses

 

Field Installations Italy

During a field visit in September 2018 it was recognized that new measurement installations were required in the Capodifume Karst Catchment, close to Salerno.

Installations were completed during a field campaign in March 2019, in conjunction with project partners from the University of Naples Federico II. Two weather stations, five rain gauges and three soil moisture sensors were installed across the karstified recharge area, which spans approximately 85 km2. A multi-parameter sensor, measuring temperature, turbidity, pH value, pressure and electrical conductivity, was installed in the Capodifume Spring, which is the main discharge of the aquifer. Thus the response of the karst catchment discharge to recharge events can be observed. Characteristics of surface runoff will also be monitored in a number of valleys in the catchment using combined electrical conductivity, temperature, and depth sensors. Readings from the continuously recording dataloggers described above will be complemented by regular manual discharge measurements at a weir downstream of the Capodifume Spring.

The data collected will be used to classify the karst catchment and gain knowledge of the aquifer behaviour. The transfer of the results from the study side in Israel to other catchments and the Mediterranean area will be validated using these data.