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An approach to aquifer vulnerability including uncertainty in a spatial random function framework

Autor
Armengol, S.; Sanchez-Vila, X.; Folch, A.
Tipus d'activitat
Article en revista
Revista
Journal of hydrology
Data de publicació
2014-09-19
Volum
517
Pàgina inicial
889
Pàgina final
900
DOI
https://doi.org/10.1016/j.jhydrol.2014.06.016 Obrir en finestra nova
Projecte finançador
Atenuación natural e inducida de la contaminacion de origen agrícola e industrial en aguas subterráneas
URL
http://www.sciencedirect.com/science/article/pii/S0022169414004764 Obrir en finestra nova
Resum
We introduce a methodology to include uncertainty into DRASTIC (Aller et al., 1987), the most commonly used method to define aquifer vulnerability. For this purpose, we explore separately all seven DRASTIC indices, and analyze how uncertainty can be introduced into each one of them, by proposing a simple decision tree to select the most appropriate geostatistical methods depending on the amount and type of available data. We further analyzed the implications of introducing the concept of degree ...
Paraules clau
Aquifer vulnerability, Geostatistics, Groundwater quality, Stochastic DRASTIC, Uncertainty quantification
Grup de recerca
GHS - Grup d'Hidrologia Subterrània

Participants