Literature DB >> 25602822

Modeling spatial patterns in soil arsenic to estimate natural baseline concentrations.

Erik R Venteris, Nicholas T Basta, Jerry M Bigham, Ron Rea.   

Abstract

Arsenic in soil is an important public health concern, but risk-based toxicity regulatory standards derived from laboratory studies should also consider concentrations measured away from obvious contamination (i.e., baseline concentrations that approximate natural background) to avoid unnecessary remediation burdens on society. We used soil and stream sediment samples from the USGS National Geochemical Survey to assess the spatial distribution of As over a 1.16 × 10 km area corresponding to the state of Ohio. Samples were collected at 348 soil and 144 stream sites at locations selected to minimize anthropogenic inputs. Total As was measured by sodium peroxide fusion with subsequent dissolution using concentrated HCl and analysis using hydride-generation atomic absorption spectrometry. Arsenic in the soil and streambed samples ranged from 2.0 to 45.6 mg kg. Sequential Gaussian simulation was used to map the expected concentration of As and its uncertainty. Five areas of elevated concentration, greater than the median of 10 mg kg, were identified, and relationships to geologic parent materials, glacial sedimentation, and soil conditions interpreted. Arsenic concentrations <4 mg kg were rare, >10 mg kg common, and >20 mg kg not unusual for the central and west central portions of Ohio. Concentrations typically exceeded the soil As human generic screening level of 0.39 mg kg, a value corresponding to an increase in cancer risk of 1 in 1,000,000 for soil ingestion. Such results call into question the utility of the USEPA and similarly low soil screening levels. The contrast between laboratory screens and concentrations occurring in nature argue for risk assessment on the basis of baseline concentrations.
Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Entities:  

Year:  2014        PMID: 25602822     DOI: 10.2134/jeq2013.11.0459

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  3 in total

1.  Assessing groundwater quality in Greece based on spatial and temporal analysis.

Authors:  Zoi Dokou; Nektarios N Kourgialas; George P Karatzas
Journal:  Environ Monit Assess       Date:  2015-11-26       Impact factor: 2.513

2.  Spatial variability of soil chemical properties under different land-uses in Northwest Ethiopia.

Authors:  Gizachew Ayalew Tiruneh; Tiringo Yilak Alemayehu; Derege Tsegaye Meshesha; Eduardo Saldanha Vogelmann; José Miguel Reichert; Nigussie Haregeweyn
Journal:  PLoS One       Date:  2021-06-23       Impact factor: 3.240

3.  Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS.

Authors:  Dinesh Panday; Bijesh Maharjan; Devraj Chalise; Ram Kumar Shrestha; Bikesh Twanabasu
Journal:  PLoS One       Date:  2018-10-26       Impact factor: 3.240

  3 in total

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