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Groundwater vulnerability maps derived from a time-dependent method using satellite scatterometer data

Groundwater vulnerability maps derived from a time-dependent method using satellite scatterometer data
Groundwater vulnerability maps derived from a time-dependent method using satellite scatterometer data

Introducing the time variable in groundwater vulnerability assessment is an innovative approach to study the evolution of contamination by non-point sources and to forecast future trends. This requires a determination of the relationship between temporal changes in groundwater contamination and in land use. Such effort will enable breakthrough advances in mapping hazardous areas, and in assessing the efficacy of land-use planning for groundwater protection. Through a Bayesian spatial statistical approach, time-dependent vulnerability maps are derived by using hydrogeological variables together with three different time-dependent datasets: population density, high-resolution urban survey, and satellite QuikSCAT (QSCAT) data processed with the innovative dense sampling method (DSM). This approach is demonstrated extensively over the Po Plain in Lombardy region (northern Italy). Calibrated and validated maps show physically consistent relations between the hydrogeological variables and nitrate trends. The results indicate that changes of urban nitrate sources are strongly related to groundwater deterioration. Among the different datasets, QSCAT-DSM is proven to be the most efficient dataset to represent urban nitrate sources of contamination, with major advantages: a worldwide coverage, a continuous decadal data collection, and an adequate resolution without spatial gaps. This study presents a successful approach that, for the first time, allows the inclusion of the time dimension in groundwater vulnerability assessment by using innovative satellite remote sensing data for quantitative statistical analyses of groundwater quality changes.

Italy, Nitrate, Remote sensing, Urban areas, Vulnerability mapping
1431-2174
631-647
Stevenazzi, Stefania
76b1cf02-d2c9-4923-b5e8-cd331bb232e1
Masetti, Marco
c3d261b3-da8c-4040-8fea-bc4389542c42
Nghiem, Son V.
adefb467-c15c-4092-863a-e7833765a6e9
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Stevenazzi, Stefania
76b1cf02-d2c9-4923-b5e8-cd331bb232e1
Masetti, Marco
c3d261b3-da8c-4040-8fea-bc4389542c42
Nghiem, Son V.
adefb467-c15c-4092-863a-e7833765a6e9
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c

Stevenazzi, Stefania, Masetti, Marco, Nghiem, Son V. and Sorichetta, Alessandro (2015) Groundwater vulnerability maps derived from a time-dependent method using satellite scatterometer data. Hydrogeology Journal, 23 (4), 631-647. (doi:10.1007/s10040-015-1236-3).

Record type: Article

Abstract

Introducing the time variable in groundwater vulnerability assessment is an innovative approach to study the evolution of contamination by non-point sources and to forecast future trends. This requires a determination of the relationship between temporal changes in groundwater contamination and in land use. Such effort will enable breakthrough advances in mapping hazardous areas, and in assessing the efficacy of land-use planning for groundwater protection. Through a Bayesian spatial statistical approach, time-dependent vulnerability maps are derived by using hydrogeological variables together with three different time-dependent datasets: population density, high-resolution urban survey, and satellite QuikSCAT (QSCAT) data processed with the innovative dense sampling method (DSM). This approach is demonstrated extensively over the Po Plain in Lombardy region (northern Italy). Calibrated and validated maps show physically consistent relations between the hydrogeological variables and nitrate trends. The results indicate that changes of urban nitrate sources are strongly related to groundwater deterioration. Among the different datasets, QSCAT-DSM is proven to be the most efficient dataset to represent urban nitrate sources of contamination, with major advantages: a worldwide coverage, a continuous decadal data collection, and an adequate resolution without spatial gaps. This study presents a successful approach that, for the first time, allows the inclusion of the time dimension in groundwater vulnerability assessment by using innovative satellite remote sensing data for quantitative statistical analyses of groundwater quality changes.

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More information

Accepted/In Press date: 29 January 2015
e-pub ahead of print date: 19 March 2015
Published date: 18 June 2015
Keywords: Italy, Nitrate, Remote sensing, Urban areas, Vulnerability mapping

Identifiers

Local EPrints ID: 430876
URI: http://eprints.soton.ac.uk/id/eprint/430876
ISSN: 1431-2174
PURE UUID: d1565e8f-7773-49ae-ab71-bceebcbef2c9
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826

Catalogue record

Date deposited: 16 May 2019 16:30
Last modified: 18 Feb 2021 17:23

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Contributors

Author: Stefania Stevenazzi
Author: Marco Masetti
Author: Son V. Nghiem

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