Literature DB >> 15074670

Susceptibility of residential wells to VOC and nitrate contamination.

C Marjorie Aelion1, Brian C Conte.   

Abstract

Water quality of residential wells is vital to public health and a complex issue for regulatory agencies. South Carolina, a typical southeastern rural state, has no required testing of residential well water quality after initial well construction. This study used site-selection criteria to identify susceptible residential wells based on a combination of geologic vulnerability and potential contaminant loading. Geologic vulnerability was defined as increased probability of contaminants being transported from the land surface into the groundwater based on geological properties. As a surrogate for potential general contaminant loading, wells were located within 800 m of an EPA Toxics Release Inventory facility reporting VOC emissions, thus sampling was nonrandom. Seventy private residential wells were sampled for volatile organic compounds (VOCs) and nitrate-nitrogen (NO3-N) and analyzed using gas chromatography/mass spectrometry and the cadmium reduction method, respectively. Geographic Information Systems (GIS) was used to quantify four explanatory variables that affect well susceptibility to nitrate: population density, land cover, local relief (percent slope), and soil texture. VOCs were detected in 11 wells, and two sites exceeded the MCL for 1,1-dichloroethylene (36.1 microg/L) and trichloroethylene (9.0 microg/L). Elevated NO3-N (defined as > or = 1.0 mg/L) was measured in 20 wells. Logistic regression identified grassland/cultivated land cover as a variable that significantly increased the probability of NO3-N contamination (p = 0.003). Using easily accessible databases to identify factors that increase the probability of groundwater pollution could lead to more effective programs for locating residential wells that are susceptible to contamination. Increased monitoring of well water quality, as is being considered in some states, is warranted to reduce potential human exposure to contaminated drinking water.

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Year:  2004        PMID: 15074670     DOI: 10.1021/es030401p

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  6 in total

1.  Building geographic information system capacity in local health departments: lessons from a North Carolina project.

Authors:  Marie Lynn Miranda; Jennifer M Silva; M Alicia Overstreet Galeano; Jeffrey P Brown; Douglas S Campbell; Evelyn Coley; Christopher S Cowan; Dianne Harvell; Jenny Lassiter; Jerry L Parks; Wanda Sandelé
Journal:  Am J Public Health       Date:  2005-10-27       Impact factor: 9.308

2.  Impact of intensive agricultural practices on drinking water quality in the Evros region (NE Greece) by GIS analysis.

Authors:  C Nikolaidis; P Mandalos; A Vantarakis
Journal:  Environ Monit Assess       Date:  2007-09-16       Impact factor: 2.513

3.  Probability-based nitrate contamination map of groundwater in Kinmen.

Authors:  Chen-Wuing Liu; Yeuh-Bin Wang; Cheng-Shin Jang
Journal:  Environ Monit Assess       Date:  2013-07-30       Impact factor: 2.513

4.  Monitoring of nitrates in drinking water from agricultural and residential areas of Podravina and Prigorje (Croatia).

Authors:  Jasna Nemčić-Jurec; Miljenko Konjačić; Anamarija Jazbec
Journal:  Environ Monit Assess       Date:  2013-06-29       Impact factor: 2.513

5.  Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation.

Authors:  Harley T Davis; C Marjorie Aelion; Suzanne McDermott; Andrew B Lawson
Journal:  Environ Pollut       Date:  2009-04-10       Impact factor: 8.071

6.  Naturally occurring radium (Ra) in home drinking-water wells in the Sandhills region of South Carolina, USA: Can high concentrations be predicted?

Authors:  Jeffrey M Schrag
Journal:  Geohealth       Date:  2017-06-14
  6 in total

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