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A versatile method for groundwater vulnerability projections in future scenarios

A versatile method for groundwater vulnerability projections in future scenarios
A versatile method for groundwater vulnerability projections in future scenarios
Water scarcity and associated risks are serious societal problems. A major challenge for the future will be to ensure the short-term and long-term provision of accessible and safe freshwater to meet the needs of the rapidly growing human population and changes in land cover and land use, where conservation and protection play a key role. Through a Bayesian spatial statistical method, a time-dependent approach for groundwater vulnerability assessment is developed to account for both the recent status of groundwater contamination and its evolution, as required by the European Union (Groundwater Directive, 2006/118/EC). This approach combines natural and anthropogenic factors to identify areas with a critical combination of high levels and increasing trends of nitrate concentrations, together with a quantitative evaluation of how different future scenarios would impact the quality of groundwater resources in a given area. In particular, the proposed approach can determine potential impacts on groundwater resources if policies are maintained at the status quo or if new measures are implemented for safeguarding groundwater quality, as natural factors are changing under climatic or anthropogenic stresses.
0301-4797
365-374
Stevenazzi, Stefania
76b1cf02-d2c9-4923-b5e8-cd331bb232e1
Bonfanti, Marianna
2d0283c4-94a3-4847-b8cd-57596204dca1
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
Bonfanti, Marianna
2d0283c4-94a3-4847-b8cd-57596204dca1
Masetti, Marco
c3d261b3-da8c-4040-8fea-bc4389542c42
Nghiem, Son V.
adefb467-c15c-4092-863a-e7833765a6e9
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c

Stevenazzi, Stefania, Bonfanti, Marianna, Masetti, Marco, Nghiem, Son V. and Sorichetta, Alessandro (2017) A versatile method for groundwater vulnerability projections in future scenarios. Journal of Environmental Management, 187, 365-374. (doi:10.1016/j.jenvman.2016.10.057).

Record type: Article

Abstract

Water scarcity and associated risks are serious societal problems. A major challenge for the future will be to ensure the short-term and long-term provision of accessible and safe freshwater to meet the needs of the rapidly growing human population and changes in land cover and land use, where conservation and protection play a key role. Through a Bayesian spatial statistical method, a time-dependent approach for groundwater vulnerability assessment is developed to account for both the recent status of groundwater contamination and its evolution, as required by the European Union (Groundwater Directive, 2006/118/EC). This approach combines natural and anthropogenic factors to identify areas with a critical combination of high levels and increasing trends of nitrate concentrations, together with a quantitative evaluation of how different future scenarios would impact the quality of groundwater resources in a given area. In particular, the proposed approach can determine potential impacts on groundwater resources if policies are maintained at the status quo or if new measures are implemented for safeguarding groundwater quality, as natural factors are changing under climatic or anthropogenic stresses.

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Stevenazzi_etal_Journal of Environmental Management_16.docx - Accepted Manuscript
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More information

Submitted date: 22 March 2016
Accepted/In Press date: 29 October 2016
e-pub ahead of print date: 9 November 2016
Published date: February 2017
Organisations: WorldPop, Geography & Environment

Identifiers

Local EPrints ID: 404998
URI: http://eprints.soton.ac.uk/id/eprint/404998
ISSN: 0301-4797
PURE UUID: 3d91f017-dcfa-4b1e-9695-370b5c65e7d6
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826

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Date deposited: 25 Jan 2017 15:20
Last modified: 15 Mar 2024 06:15

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Contributors

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

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