An integrated method for source apportionment of heavy metal(loid)s in agricultural soils and model uncertainty analysis

土壤水分 环境化学 环境科学 肥料 污染 主成分分析 土壤污染 化学 土壤科学 农学 生态学 计算机科学 生物 人工智能
作者
Yuntao Wang,Guanghui Guo,Degang Zhang,Mei Lei
出处
期刊:Environmental Pollution [Elsevier]
卷期号:276: 116666-116666 被引量:128
标识
DOI:10.1016/j.envpol.2021.116666
摘要

Elevated concentrations of heavy metals in agricultural soils threatening ecological security and the quality of agricultural products, and apportion their sources accurately is still a challenging task. Multivariate statistical analysis, GIS mapping, Pb isotopic ratio analysis (IRA), and positive matrix factorization (PMF) were integrated to apportion the potential sources of heavy metal(loid)s of orchard soil in Karst-regions. Study region soils were moderately contaminated by Cd. Obvious enrichment and moderate contamination level of Cd were found in study region surface soils, followed by As, Zn, and Pb. Correlation analysis (CA) and principal component analysis (PCA) indicated Ba, Co, Cr, Ni, V were mainly from natural sources, while As, Cd, Cu, Pb, Zn were derived from two kinds of anthropogenic sources. Based on Pb isotope composition, atmospheric deposition and livestock manure were the main sources of soil Pb accumulation. Further source identification and quantification results with PMF model and GIS mapping revealed that soil parent materials (46.44%) accounted for largest contribution to the soil heavy metal(loid)s, followed by fertilizer application (31.37%) and mixed source (industrial activity and manure, 22.19%). Uncertainty analysis indicated that the three-factors solution of PMF model was an optimal explanation and the heavy metal(loid) with lower percentage contributions had higher uncertainty. This study results can help to illustrate the sources of heavy metals more accurately in orchard agricultural soils with a clear expected future for further applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
1Q84完成签到,获得积分10
刚刚
1秒前
1秒前
chen完成签到,获得积分20
2秒前
魔幻妖妖发布了新的文献求助10
2秒前
2秒前
江苏小医生完成签到,获得积分10
2秒前
Yziii应助青青采纳,获得20
3秒前
3秒前
aaefv完成签到,获得积分10
3秒前
11111发布了新的文献求助10
3秒前
Zero发布了新的文献求助10
4秒前
彩色鸵鸟关注了科研通微信公众号
5秒前
Timing完成签到,获得积分10
5秒前
lishi发布了新的文献求助10
6秒前
cometx完成签到 ,获得积分10
6秒前
帅很子老完成签到,获得积分10
7秒前
情怀应助chen采纳,获得30
7秒前
7秒前
恍恍惚惚完成签到,获得积分10
8秒前
摘要发布了新的文献求助10
9秒前
酷酷豪发布了新的文献求助10
9秒前
Owen应助冷傲妙梦采纳,获得10
9秒前
哈尼完成签到,获得积分10
9秒前
9秒前
10秒前
12秒前
12秒前
12秒前
12秒前
Sirius发布了新的文献求助10
13秒前
斯文冷亦完成签到,获得积分10
13秒前
gxh66发布了新的文献求助10
15秒前
吴正言发布了新的文献求助10
16秒前
16秒前
尚可完成签到 ,获得积分10
16秒前
16秒前
17秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
A new approach of magnetic circular dichroism to the electronic state analysis of intact photosynthetic pigments 500
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3148786
求助须知:如何正确求助?哪些是违规求助? 2799787
关于积分的说明 7837076
捐赠科研通 2457292
什么是DOI,文献DOI怎么找? 1307821
科研通“疑难数据库(出版商)”最低求助积分说明 628276
版权声明 601663