Literature DB >> 23376514

Modeling vulnerability of groundwater to pollution under future scenarios of climate change and biofuels-related land use change: a case study in North Dakota, USA.

Ruopu Li1, James W Merchant.   

Abstract

Modeling groundwater vulnerability to pollution is critical for implementing programs to protect groundwater quality. Most groundwater vulnerability modeling has been based on current hydrogeology and land use conditions. However, groundwater vulnerability is strongly dependent on factors such as depth-to-water, recharge and land use conditions that may change in response to future changes in climate and/or socio-economic conditions. In this research, a modeling framework, which employs three sets of models linked within a geographic information system (GIS) environment, was used to evaluate groundwater pollution risks under future climate and land use changes in North Dakota. The results showed that areas with high vulnerability will expand northward and/or northwestward in Eastern North Dakota under different scenarios. GIS-based models that account for future changes in climate and land use can help decision-makers identify potential future threats to groundwater quality and take early steps to protect this critical resource.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23376514     DOI: 10.1016/j.scitotenv.2013.01.011

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Unravel biophysical factors on river water quality response in Chilean Central-Southern watersheds.

Authors:  Mariela A Yevenes; José L Arumí; Laura Farías
Journal:  Environ Monit Assess       Date:  2016-04-02       Impact factor: 2.513

2.  Assessment of the microbiological quality of groundwater in three regions of the Valencian Community (Spain).

Authors:  Agustín Llopis-González; Adriana L Sánchez; Pedro Martí Requena; María Morales Suárez-Varela
Journal:  Int J Environ Res Public Health       Date:  2014-05-22       Impact factor: 3.390

  2 in total

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