Cargando…
A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS
The use of portable X-ray fluorescence (PXRF) and inductively coupled plasma atomic emission spectrometry (ICP-AES) increases the rapidity and accuracy of soil contamination mapping, respectively. In practice, it is often necessary to repeat the soil contamination assessment and mapping procedure se...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5201332/ https://www.ncbi.nlm.nih.gov/pubmed/27916970 http://dx.doi.org/10.3390/ijerph13121191 |
_version_ | 1782489326031994880 |
---|---|
author | Suh, Jangwon Lee, Hyeongyu Choi, Yosoon |
author_facet | Suh, Jangwon Lee, Hyeongyu Choi, Yosoon |
author_sort | Suh, Jangwon |
collection | PubMed |
description | The use of portable X-ray fluorescence (PXRF) and inductively coupled plasma atomic emission spectrometry (ICP-AES) increases the rapidity and accuracy of soil contamination mapping, respectively. In practice, it is often necessary to repeat the soil contamination assessment and mapping procedure several times during soil management within a limited budget. In this study, we have developed a rapid, inexpensive, and accurate soil contamination mapping method using a PXRF data and geostatistical spatial interpolation. To obtain a large quantity of high quality data for interpolation, in situ PXRF data analyzed at 40 points were transformed to converted PXRF data using the correlation between PXRF and ICP-AES data. The method was applied to an abandoned mine site in Korea to generate a soil contamination map for copper and was validated for investigation speed and prediction accuracy. As a result, regions that required soil remediation were identified. Our method significantly shortened the time required for mapping compared to the conventional mapping method and provided copper concentration estimates with high accuracy similar to those measured by ICP-AES. Therefore, our method is an effective way of mapping soil contamination if we consistently construct a database based on the correlation between PXRF and ICP-AES data. |
format | Online Article Text |
id | pubmed-5201332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-52013322016-12-30 A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS Suh, Jangwon Lee, Hyeongyu Choi, Yosoon Int J Environ Res Public Health Article The use of portable X-ray fluorescence (PXRF) and inductively coupled plasma atomic emission spectrometry (ICP-AES) increases the rapidity and accuracy of soil contamination mapping, respectively. In practice, it is often necessary to repeat the soil contamination assessment and mapping procedure several times during soil management within a limited budget. In this study, we have developed a rapid, inexpensive, and accurate soil contamination mapping method using a PXRF data and geostatistical spatial interpolation. To obtain a large quantity of high quality data for interpolation, in situ PXRF data analyzed at 40 points were transformed to converted PXRF data using the correlation between PXRF and ICP-AES data. The method was applied to an abandoned mine site in Korea to generate a soil contamination map for copper and was validated for investigation speed and prediction accuracy. As a result, regions that required soil remediation were identified. Our method significantly shortened the time required for mapping compared to the conventional mapping method and provided copper concentration estimates with high accuracy similar to those measured by ICP-AES. Therefore, our method is an effective way of mapping soil contamination if we consistently construct a database based on the correlation between PXRF and ICP-AES data. MDPI 2016-12-01 2016-12 /pmc/articles/PMC5201332/ /pubmed/27916970 http://dx.doi.org/10.3390/ijerph13121191 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Suh, Jangwon Lee, Hyeongyu Choi, Yosoon A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS |
title | A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS |
title_full | A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS |
title_fullStr | A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS |
title_full_unstemmed | A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS |
title_short | A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS |
title_sort | rapid, accurate, and efficient method to map heavy metal-contaminated soils of abandoned mine sites using converted portable xrf data and gis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5201332/ https://www.ncbi.nlm.nih.gov/pubmed/27916970 http://dx.doi.org/10.3390/ijerph13121191 |
work_keys_str_mv | AT suhjangwon arapidaccurateandefficientmethodtomapheavymetalcontaminatedsoilsofabandonedminesitesusingconvertedportablexrfdataandgis AT leehyeongyu arapidaccurateandefficientmethodtomapheavymetalcontaminatedsoilsofabandonedminesitesusingconvertedportablexrfdataandgis AT choiyosoon arapidaccurateandefficientmethodtomapheavymetalcontaminatedsoilsofabandonedminesitesusingconvertedportablexrfdataandgis AT suhjangwon rapidaccurateandefficientmethodtomapheavymetalcontaminatedsoilsofabandonedminesitesusingconvertedportablexrfdataandgis AT leehyeongyu rapidaccurateandefficientmethodtomapheavymetalcontaminatedsoilsofabandonedminesitesusingconvertedportablexrfdataandgis AT choiyosoon rapidaccurateandefficientmethodtomapheavymetalcontaminatedsoilsofabandonedminesitesusingconvertedportablexrfdataandgis |