Groundwater Vulnerability Assessment Combining the Drastic and Dyna-Clue Model in the Argentine Pampas

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.

[1]  Paul Schot,et al.  Land use change modelling: current practice and research priorities , 2004 .

[2]  H. Baalousha Vulnerability assessment for the Gaza Strip, Palestine using DRASTIC , 2006 .

[3]  B. C. Pijanowski,et al.  Modelling urbanization patterns in two diverse regions of the world , 2006 .

[4]  A. Melloul,et al.  Groundwater vulnerability assessment using a composite model combining DRASTIC with extensive agricultural land use in Israel's Sharon region , 1998 .

[5]  S. Uhlenbrook,et al.  Detecting the influence of land use changes on discharges and floods in the Meuse River Basin – the predictive power of a ninety-year rainfall-runoff relation? , 2006 .

[6]  PETER H. VERBURG,et al.  Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model , 2002, Environmental management.

[7]  D. Martinez,et al.  Enhanced groundwater vulnerability assessment in geological homogeneous areas: a case study from the Argentine Pampas , 2010 .

[8]  A. Bronstert,et al.  Modelling the impacts of land-use and drainage density on the water balance of a lowland–floodplain landscape in northeast Germany , 2007 .

[9]  E. Cameron,et al.  An application of fuzzy logic to the assessment of aquifers' pollution potential , 2001 .

[10]  R. Gil Pontius,et al.  Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA , 2001 .

[11]  David R. Maidment,et al.  Hydrologic effects of land-use change. , 1992 .

[12]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[13]  Peter H. Verburg,et al.  Comparison of a deductive and an inductive approach to specify land suitability in a spatially explicit land use model , 2007 .

[14]  Erhan Şener,et al.  Assessment of aquifer vulnerability based on GIS and DRASTIC methods: a case study of the Senirkent-Uluborlu Basin (Isparta, Turkey) , 2009 .

[15]  Assessment of groundwater vulnerability in the Río Artiguas basin, Nicaragua , 2006 .

[16]  A. Veldkamp,et al.  Assessment of interactions between land use change and carbon and nutrient fluxes in Ecuador , 2001 .

[17]  K. Overmars,et al.  Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model , 2009, Landscape Ecology.

[18]  L. Aller,et al.  Drastic: A Standardized System to Evaluate Groundwater Pollution Potential using Hydrogeologic Setting , 1987 .

[19]  T. Loveland,et al.  The FORE-SCE model: a practical approach for projecting land cover change using scenario-based modeling , 2007 .

[20]  O. Casanova,et al.  Contaminación de aguas subterráneas con nitratos y coliformes en el litoral sudoeste del Uruguay , 2001 .

[21]  Yan-xin Wang,et al.  Vulnerability of groundwater in Quaternary aquifers to organic contaminants: a case study in Wuhan City, China , 2007 .

[22]  Se-Yeong Hamm,et al.  Assessment of the potential for groundwater contamination using the DRASTIC/EGIS technique, Cheongju area, South Korea , 1999 .

[23]  J. Hewlett,et al.  A REVIEW OF CATCHMENT EXPERIMENTS TO DETERMINE THE EFFECT OF VEGETATION CHANGES ON WATER YIELD AND EVAPOTRANSPIRATION , 1982 .

[24]  F. Zwahlen,et al.  Water vulnerability assessment in karst environments: a new method of defining protection areas using a multi-attribute approach and GIS tools (EPIK method) , 1999 .

[25]  K. Eckhardt,et al.  Hydrologic Response to land use changes on the catchment scale , 2001 .

[26]  Dominique Martinez,et al.  Nitrate contamination of a rural aquifer and accumulation in the unsaturated zone , 2002 .

[27]  S. Uhlenbrook,et al.  Quantifying the impact of land-use changes at the event and seasonal time scale using a process-oriented catchment model , 2004 .

[28]  Saro Lee,et al.  Evaluation of waste disposal site using the DRASTIC system in Southern Korea , 2003 .

[29]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[30]  Massimo Civita,et al.  Le Carte della vulnerabilità degli acquiferi all'inquinamento: Teoria & Pratica , 1994 .

[31]  Donald L. DeAngelis,et al.  Using ecosystem models to predict regional CO2 exchange between the atmosphere and the terrestrial biosphere , 1989 .

[32]  B. Andreo,et al.  Proposed method for groundwater vulnerability mapping in carbonate (karstic) aquifers: the COP method , 2006 .

[33]  A. Veldkamp,et al.  Analysis of the effects of land use change on protected areas in the Philippines , 2006 .

[34]  Rida Al-Adamat,et al.  Groundwater vulnerability and risk mapping for the Basaltic aquifer of the Azraq basin of Jordan using GIS, Remote sensing and DRASTIC , 2003 .

[35]  O. Batelaan,et al.  Regional groundwater discharge: phreatophyte mapping, groundwater modelling and impact analysis of land-use change , 2003 .

[36]  Keith C. Clarke,et al.  Toward Optimal Calibration of the SLEUTH Land Use Change Model , 2007, Trans. GIS.

[37]  B. Soares-Filho,et al.  Modelling conservation in the Amazon basin , 2006, Nature.

[38]  Leonard I. Wassenaar,et al.  AQUIFER VULNERABILITY INDEX: A GIS - COMPATIBLE METHOD FOR GROUNDWATER VULNERABILITY MAPPING , 1993 .

[39]  Lars Rosén,et al.  A Study of the DRASTIC Methodology with Emphasis on Swedish Conditions , 1994 .

[40]  T. Al-Zabet,et al.  Evaluation of aquifer vulnerability to contamination potential using the DRASTIC method , 2002 .

[41]  LAND-USE IMPACT ON WATERSHED RESPONSE: THE INTEGRATION OF TWO-DIMENSIONAL HYDROLOGICAL MODELLING AND GEOGRAPHICAL INFORMATION SYSTEMS , 1996 .

[42]  W. V. Duijvenbooden,et al.  Vulnerability of soil and groundwater to pollutants , 1987 .

[43]  A. Jamrah,et al.  Assessment of groundwater vulnerability in the coastal region of Oman using DRASTIC index method in GIS environment , 2008, Environmental monitoring and assessment.

[44]  A. Dassargues,et al.  Current trends and future challenges in groundwater vulnerability assessment using overlay and index methods , 2000 .