Arid
DOI10.1002/saj2.20287
A joint method to quantify source contributions of heavy metals to ecological and human health risks in oasis farmland soil
Tian, Jing; Guan, Qingyu; Shao, Wenyan; Liu, Zhan; Ma, Yunrui; Li, Huichun; Sun, Yunfan
通讯作者Guan, QY (corresponding author), Lanzhou Univ, Coll Earth & Environm Sci, Gansu Key Lab Environm Pollut Predict & Control, Lanzhou 730000, Peoples R China.
来源期刊SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
ISSN0361-5995
EISSN1435-0661
出版年2021
卷号85期号:5页码:1600-1619
英文摘要Source identification and risk assessment of heavy metals are ongoing hot topics in current research, but few studies have been performed on the linkage mechanism between them. In the past, the amount of heavy metals discharged was the identification criterion for high-risk source but failed to consider different toxicity of heavy metals in the risk level of each pollution source. Therefore, it is impossible to accurately determine high-risk pollution source. For this situation, this study introduced a risk assessment model based on the source apportionment model, which can quantitatively analyze the source-based risk. Meanwhile, pollution assessment indexes and a risk assessment model were applied to evaluate the levels of pollution and risk of heavy metals, showing that lead (Pb) caused relatively serious pollution and arsenic (As) generated the highest ecological risk and noncarcinogenic risk. Positive matrix factorization (PMF) model identified and quantified the sources of heavy metals (coal-related activities source, mixed source of mining and traffic emissions, industrial activity source, agricultural source related to the application of agrochemicals) with the corresponding contributions of 42, 30, 26, and 2%, respectively. Then PMF was combined with potential ecological risk index and human health risk assessment model to quantify the risk from pollution sources, indicating that the coal-related activities source was the largest pollution source (31-36%) that caused human health risks, while the mixed source of mining and transportation emissions posed the greatest threat (29%) to the ecosystem health. Therefore, both sources should be identified as the priority pollution sources.
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000676102700001
WOS关键词POTENTIALLY TOXIC ELEMENTS ; MULTIPLE EXPOSURE PATHWAYS ; SOURCE APPORTIONMENT ; AGRICULTURAL SOILS ; SPATIAL-DISTRIBUTION ; RIVER DELTA ; URBAN SOILS ; CONTAMINATION CHARACTERISTICS ; POLLUTION CHARACTERISTICS ; GEOSTATISTICAL ANALYSES
WOS类目Soil Science
WOS研究方向Agriculture
来源机构兰州大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/364708
作者单位[Tian, Jing; Guan, Qingyu; Shao, Wenyan; Liu, Zhan; Ma, Yunrui; Li, Huichun; Sun, Yunfan] Lanzhou Univ, Coll Earth & Environm Sci, Gansu Key Lab Environm Pollut Predict & Control, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Tian, Jing,Guan, Qingyu,Shao, Wenyan,et al. A joint method to quantify source contributions of heavy metals to ecological and human health risks in oasis farmland soil[J]. 兰州大学,2021,85(5):1600-1619.
APA Tian, Jing.,Guan, Qingyu.,Shao, Wenyan.,Liu, Zhan.,Ma, Yunrui.,...&Sun, Yunfan.(2021).A joint method to quantify source contributions of heavy metals to ecological and human health risks in oasis farmland soil.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,85(5),1600-1619.
MLA Tian, Jing,et al."A joint method to quantify source contributions of heavy metals to ecological and human health risks in oasis farmland soil".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 85.5(2021):1600-1619.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Tian, Jing]的文章
[Guan, Qingyu]的文章
[Shao, Wenyan]的文章
百度学术
百度学术中相似的文章
[Tian, Jing]的文章
[Guan, Qingyu]的文章
[Shao, Wenyan]的文章
必应学术
必应学术中相似的文章
[Tian, Jing]的文章
[Guan, Qingyu]的文章
[Shao, Wenyan]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。