An Integrated H-G Scheme Identifying Areas for Soil Remediation and Primary Heavy Metal Contributors: A Risk Perspective
Abstract Traditional sampling for soil pollution evaluation is cost intensive and has limited representativeness. Therefore, developing methods that can accurately and rapidly identify at-risk areas and the contributing pollutants is imperative for soil remediation. In this study, we propose an inno...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2017-03-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-017-00468-2 |
| _version_ | 1819040083162955776 |
|---|---|
| author | Bin Zou Xiaolu Jiang Xiaoli Duan Xiuge Zhao Jing Zhang Jingwen Tang Guoqing Sun |
| author_facet | Bin Zou Xiaolu Jiang Xiaoli Duan Xiuge Zhao Jing Zhang Jingwen Tang Guoqing Sun |
| author_sort | Bin Zou |
| collection | DOAJ |
| description | Abstract Traditional sampling for soil pollution evaluation is cost intensive and has limited representativeness. Therefore, developing methods that can accurately and rapidly identify at-risk areas and the contributing pollutants is imperative for soil remediation. In this study, we propose an innovative integrated H-G scheme combining human health risk assessment and geographical detector methods that was based on geographical information system technology and validated its feasibility in a renewable resource industrial park in mainland China. With a discrete site investigation of cadmium (Cd), arsenic (As), copper (Cu), mercury (Hg) and zinc (Zn) concentrations, the continuous surfaces of carcinogenic risk and non-carcinogenic risk caused by these heavy metals were estimated and mapped. Source apportionment analysis using geographical detector methods further revealed that these risks were primarily attributed to As, according to the power of the determinant and its associated synergic actions with other heavy metals. Concentrations of critical As and Cd, and the associated exposed CRs are closed to the safe thresholds after remediating the risk areas identified by the integrated H-G scheme. Therefore, the integrated H-G scheme provides an effective approach to support decision-making for regional contaminated soil remediation at fine spatial resolution with limited sampling data over a large geographical extent. |
| first_indexed | 2024-12-21T09:03:27Z |
| format | Article |
| id | doaj.art-0f538283ead14c489618791ba93dbaf9 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-21T09:03:27Z |
| publishDate | 2017-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-0f538283ead14c489618791ba93dbaf92022-12-21T19:09:25ZengNature PortfolioScientific Reports2045-23222017-03-017111110.1038/s41598-017-00468-2An Integrated H-G Scheme Identifying Areas for Soil Remediation and Primary Heavy Metal Contributors: A Risk PerspectiveBin Zou0Xiaolu Jiang1Xiaoli Duan2Xiuge Zhao3Jing Zhang4Jingwen Tang5Guoqing Sun6Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of EducationSchool of Geosciences and Info-Physics, Central South UniversitySchool of Energy and Environmental Engineering, University of Science and Technology BeijingState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental SciencesSchool of Geosciences and Info-Physics, Central South UniversityKey Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of EducationHunan provincial communications planning, survey and design instituteAbstract Traditional sampling for soil pollution evaluation is cost intensive and has limited representativeness. Therefore, developing methods that can accurately and rapidly identify at-risk areas and the contributing pollutants is imperative for soil remediation. In this study, we propose an innovative integrated H-G scheme combining human health risk assessment and geographical detector methods that was based on geographical information system technology and validated its feasibility in a renewable resource industrial park in mainland China. With a discrete site investigation of cadmium (Cd), arsenic (As), copper (Cu), mercury (Hg) and zinc (Zn) concentrations, the continuous surfaces of carcinogenic risk and non-carcinogenic risk caused by these heavy metals were estimated and mapped. Source apportionment analysis using geographical detector methods further revealed that these risks were primarily attributed to As, according to the power of the determinant and its associated synergic actions with other heavy metals. Concentrations of critical As and Cd, and the associated exposed CRs are closed to the safe thresholds after remediating the risk areas identified by the integrated H-G scheme. Therefore, the integrated H-G scheme provides an effective approach to support decision-making for regional contaminated soil remediation at fine spatial resolution with limited sampling data over a large geographical extent.https://doi.org/10.1038/s41598-017-00468-2 |
| spellingShingle | Bin Zou Xiaolu Jiang Xiaoli Duan Xiuge Zhao Jing Zhang Jingwen Tang Guoqing Sun An Integrated H-G Scheme Identifying Areas for Soil Remediation and Primary Heavy Metal Contributors: A Risk Perspective Scientific Reports |
| title | An Integrated H-G Scheme Identifying Areas for Soil Remediation and Primary Heavy Metal Contributors: A Risk Perspective |
| title_full | An Integrated H-G Scheme Identifying Areas for Soil Remediation and Primary Heavy Metal Contributors: A Risk Perspective |
| title_fullStr | An Integrated H-G Scheme Identifying Areas for Soil Remediation and Primary Heavy Metal Contributors: A Risk Perspective |
| title_full_unstemmed | An Integrated H-G Scheme Identifying Areas for Soil Remediation and Primary Heavy Metal Contributors: A Risk Perspective |
| title_short | An Integrated H-G Scheme Identifying Areas for Soil Remediation and Primary Heavy Metal Contributors: A Risk Perspective |
| title_sort | integrated h g scheme identifying areas for soil remediation and primary heavy metal contributors a risk perspective |
| url | https://doi.org/10.1038/s41598-017-00468-2 |
| work_keys_str_mv | AT binzou anintegratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT xiaolujiang anintegratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT xiaoliduan anintegratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT xiugezhao anintegratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT jingzhang anintegratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT jingwentang anintegratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT guoqingsun anintegratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT binzou integratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT xiaolujiang integratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT xiaoliduan integratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT xiugezhao integratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT jingzhang integratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT jingwentang integratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective AT guoqingsun integratedhgschemeidentifyingareasforsoilremediationandprimaryheavymetalcontributorsariskperspective |