Portable X-Ray Fluorescence as a Rapid Technique for Surveying Elemental Distributions in Soil

被引:26
作者
Radu, Tanja [1 ]
Gallagher, Simon [2 ]
Byrne, Brian [3 ]
Harris, Paul [3 ]
Coveney, Seamus [3 ]
McCarron, Stephen [3 ]
McCarthy, Tim [3 ]
Diamond, Dermot [2 ]
机构
[1] Univ Loughborough, Loughborough, Leics, England
[2] Dublin City Univ, CLARITY, Dublin 9, Ireland
[3] Natl Univ Ireland, Maynooth, Kildare, Ireland
基金
爱尔兰科学基金会;
关键词
heavy metals; soil pollution; XRF; TRACE-ELEMENTS; XRF ANALYZER; METALS; FIELD; LEAD; GEOSTATISTICS; CONTAMINATION;
D O I
10.1080/00387010.2013.763829
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Case studies from two sites demonstrate how concentration distributions of hazardous contaminants can be rapidly measured and visualized using portable XRF (X-ray fluorescence) coupled with geostatistical interpolation tools. In this study, lead is used as an exemplar due to its well-known detrimental effect on human health through long-term exposure. A portable Thermo Scientific NITON X-ray fluorescence (XRF) instrument was used for real-time in-situ concentration measurements, which were linked to GPS coordinates of the sampling locations. A 52 point mixed sampling density survey was performed at a site near Maynooth, Co. Kildare, and a second 58 survey undertaken at Dublin City University (DCU). At Maynooth, high concentrations of Pb (above 110mg/kg) were found close to the site where a local canal meets a road. At the DCU site, results indicate high Pb concentrations (above 160mg/kg) near a busy main road. Geostatistical techniques were used to generate concentration prediction and critical threshold contour surfaces for both sites. Linked with GPS coordinates for each sampling location, this technology enables the distribution of multiple elements to be mapped over wide areas in a relatively short time. Supplemental materials are available for this article. Go to the publisher's online edition of Spectroscopy Letters to view the supplemental file.
引用
收藏
页码:516 / 526
页数:11
相关论文
共 39 条
[1]   Trace Elements in Soils of Urban Areas [J].
Ajmone-Marsan, Franco ;
Biasioli, Mattia .
WATER AIR AND SOIL POLLUTION, 2010, 213 (1-4) :121-143
[2]  
[Anonymous], 6200 EPA
[3]  
[Anonymous], HEAVY METALS SOILS
[4]  
[Anonymous], 7702 NIOSH
[5]   RESULTS OF FIELD-PORTABLE X-RAY-FLUORESCENCE ANALYSIS OF METAL CONTAMINANTS IN SOIL AND SEDIMENT [J].
BERNICK, MB ;
KALNICKY, DJ ;
PRINCE, G ;
SINGHVI, R .
JOURNAL OF HAZARDOUS MATERIALS, 1995, 43 (1-2) :101-110
[6]  
Bivand R., SPGWR R PACKAGE
[7]   Geographically weighted summary statistics - a framework for localised exploratory data analysis [J].
Brunsdon, C. ;
Fotheringham, A.S. ;
Charlton, M. .
Computers, Environment and Urban Systems, 2002, 26 (06) :501-524
[8]   Optimization of sample patterns for universal kriging of environmental variables [J].
Brus, Dick J. ;
Heuvelink, Gerard B. M. .
GEODERMA, 2007, 138 (1-2) :86-95
[9]   Identification and mapping of heavy metal pollution in soils of a sports ground in Galway City, Ireland, using a portable XRF analyser and GIS [J].
Carr, Ramona ;
Zhang, Chaosheng ;
Moles, Norman ;
Harder, Marie .
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2008, 30 (01) :45-52
[10]  
Chiles J, 1999, GEOSTATISTICS MODELL