title: Groundwater vulnerability assessment combining the drastic and dyna-clue model in the Argentine pampas.
abstract: Vulnerability assessment is considered an effective tool in establishing monitoring networks required for controlling potential pollution. The aim of this work is to propose a new integrated methodology to assess actual and forecasted groundwater vulnerability by including land-use change impact on groundwater quality. Land-use changes were simulated by applying a spatial dynamics model in a scenario of agricultural expansion. Groundwater vulnerability methodology DRASTIC-P, was modifyed by adding a land-use parameter in order to assess groundwater vulnerability within a future scenario. This new groundwater vulnerability methodology shows the areas where agricultural activities increase the potential level of groundwater vulnerability to pollution. The Dulce Creek Basin was the study case proposed for the application of this methodology. The study revealed that the area with Very High vulnerability would increase 20% by the year 2020 in the Dulce Creek Basin. This result can be explained by analyzing the land-use map simulated by the Dyna-CLUE model for the year 2020, which shows that the areas with increments in crop and pasture coincide with the area defined by the Very High aquifer vulnerability category in the year 2020. Through scenario analysis, land-use change models can help to identify medium or long term critical locations in the face of environmental change.
authors.affiliation: Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina. mlima@mdp.edu.ar
authors.forename: M Lourdes
authors.initials: ML
authors.lastname: Lima
authors.forename: Karina
authors.initials: K
authors.lastname: Zelaya
authors.forename: Héctor
authors.initials: H
authors.lastname: Massone
mesh_terms: D001118:Argentina; D004784:Environmental Monitoring / Q000379:methods*; D018570:Risk Assessment / Q000379:methods*; D014876:Water Pollution / Q000032:analysis; D014881:Water Supply / Q000032:analysis*