Using Radar Interferometric Satellite Data for Groundwater Management in the Arno River Basin

Using Radar Interferometric Satellite Data for Groundwater Management in the Arno

River Basin

Bernardo Mazzanti, Giovanni MontiniArno River Basin Authority (I)

The Arno River Basin


9121 sq. km

High anthropic pressures

2,2 Ml inhabitants

Goal

Methods

Data

Analisys of correlation between superficial terrain deformation (at regional scale) and water exploitation in alluvial groundwater

Impact evaluation of anthropic pressures on water bodies

Persistent Scatterers from radar interferometric data(ENVISAT 2003-2010)

Water balance of 17 aquifers in the Arno river basin

Updated CORINE land cover map at high resolution (1:10.000)

Preliminary deformation analysis at regional scale

Detailed analysis of subsidence phenomena for each water body

Stratigraphic data in 4000+ points in the GWB perimeter

Goal

Methods

Data









PSInSar Technique (TRE - Univ. of Milano)PSP-DIFSAR Technique (Telespazio)

Goal

Methods

Data










17 aquifers

calibrated model on monthly scale

Goal

Methods

Data









Land cover map Corine Land cover Level III

Goal

Methods

Data








Stratigraphic data in 4.000+ points in the GWB perimeter

Stratigraphic data in more than 4000 point in every GWB

Goal

Methods

Data









Evaluation of subsidence phenomenaDefinition procedure of EWZN vector

Highlighting most affected areasMain direction of EWZN vector

Choice of descending patternComparison of mean yearly PS velocity

High mean deformation valuesDistribution of EWZN vector velocity component

Goal

Methods

Data









Index #1Mean deformation velocity evaluated on every GWB

LowVavg > -2 mm/y

Medium-2 < Vavg > -5 mm/y

HighVavg < -5 mm/y

Index #2 % active PS in populated areas

Low<= 10%

Medium10% - 30%

High> 30%

Index #3Ratio between avg. deformation velocity in populated areas and avg. deformation velocity in the

whole GWBLow

< 1.05Medium

1.05 - 1.15High

> 1.15

Index evaluation on every GWB

Highlighting impact on anthropic activities & water abstraction as a driver for subsidenceSpatial comparison of Index 1/2/3

Mid-term exploitation evaluationGWB critical condition classificationfrom water balance and quality monitoring

low

medium

high

Highlighting most affected areasStatistical analysis of deformations according to land cover type

Index evaluation on a single GWB

Normalized index sum

ENVISAT data (2003-2010)

ERS data (1992-2000)

Conclusions

Useful characterization of subsidence phenomena

Interferometric data analysis

Helpful for spatial description and impact evaluation

Integration with geological and land cover data

High correlation with over-exploited grundwater bodies

Comparison with water abstraction data

Thank YouMerciجراتسي

Bernardo MazzantiArno River Basin Authorityvia dei Servi 15 - 50122 - Florence (Italy)http://www.adbarno.it

Thanks to:

Using Radar Interferometric Satellite Data for Groundwater Management in the Arno River Basin

Environment