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物探与化探  2024, Vol. 48 Issue (3): 847-857    DOI: 10.11720/wtyht.2024.1313
  生态地质调查 本期目录 | 过刊浏览 | 高级检索 |
典型汞矿区周边耕地土壤重金属来源解析与农作物健康风险评价
余飞1,2(), 王锐1,2, 周皎1,2, 张风雷1,2, 蒋玉莲1,2, 张云逸1,2, 朱世林1,2
1.重庆市地质矿产勘查开发局 川东南地质大队,重庆 400038
2.重庆市土地质量地质调查重点实验室,重庆 400038
Sources of soil heavy metals and health risk assessment of crops in arable land at the periphery of a typical mercury mining area
YU Fei1,2(), WANG Rui1,2, ZHOU Jiao1,2, ZHANG Feng-Lei1,2, JIANG Yu-Lian1,2, ZHANG Yun-Yi1,2, ZHU Shi-Lin1,2
1. Southeast Sichuan Geological Group, Chongqing Bureau of Geology and Minerals Exploration, Chongqing 400038, China
2. Chongqing Key Laboratory of Land Quality Geological Survey, Chongqing 400038, China
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摘要 

为系统评价矿区周边土壤—农作物—人体系统中重金属的污染风险,为矿区生态风险的分类治理和农作物安全生产提供科学依据,以重庆市典型汞矿区周边耕地土壤和农作物(水稻、玉米和红薯)为研究对象,采用单因子污染指数(Pi)、内梅罗综合指数(P)和正定矩阵因子(PMF)模型,评估土壤重金属污染程度、生态风险,进行来源解析,并利用美国环保署(USEPA)推荐的人体健康风险评估模型评价居民食用当地主要农作物的健康风险。结果显示,研究区土壤中As、Cd、Cr、Cu、Hg、Ni、Pb和Zn平均值均高于全国和重庆市表层土壤背景值,表明重金属在耕层土壤中较为富集。单因子污染指数显示,矿区周边耕地土壤中Hg、Cd的超标率分别达96.29%和92.59%,水稻、玉米和红薯中分别有16.67%、18.75%和14.28%的样品Cd含量超过国家食品安全标准(GB 2762—2022)。内梅罗综合指数显示P为1.17~46.05,研究区整体属于轻度—重度污染,重度污染主要位于汞矿区及土法汞冶炼厂周边,以及溶溪河下游。PMF模型分析结果表明,研究区土壤重金属的来源分3种,即自然源、矿业活动源和工矿及农业活动复合源,其综合贡献率分别为47.21%、16.00%和36.79%,Cd、Cr和Ni主要受自然源影响,Hg主要受矿业活动影响,As和Pb主要受工矿及农业的混合源影响,Cu和Zn受自然源、工矿及农业复合源的共同影响。人体健康风险模型显示:无论是成人还是儿童,食用水稻、玉米和红薯均存在复合健康风险,其中食用水稻的风险指数最高,主要的风险因子是As和Cd,并且儿童高于成人。

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余飞
王锐
周皎
张风雷
蒋玉莲
张云逸
朱世林
关键词 汞矿区重金属土壤—农作物来源分析健康风险评价    
Abstract

This study aims to systematically assess the pollution risk of heavy metals in the soil-crop-human body system along the periphery of mining areas, thus providing a scientific basis for the classified management of ecological risks and safe crop production in mining areas. Hence, this study examined the soil and crops (rice, corn, and sweet potato) in arable land along the periphery of a typical mercury mining area in Chongqing City. The single-factor pollution index (Pi), Nemero composite index (P), and positive matrix factorization (PMF) model were employed to assess the pollution degree and ecological risk of soil heavy metals for source analysis. Moreover, the human health risk assessment model recommended by the United States Environmental Protection Agency (USEPA) was applied to assess the health risks of local staple crops for residents. The results are as follows: (1) The average contents of As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn in the soil of the study area were all higher than the topsoil background values of Chongqing and China, suggesting that heavy metals are relatively enriched in topsoil; (2) The single-factor pollution index indicates that the over-limit ratios of Hg and Cd in the soil reached 96.29% and 92.59%, respectively, whereas rice, corn, and sweet potato samples with Cd content exceeding the value specified in the national food safety standard (GB 2762—2022) accounted for 16.67%, 18.75%, and 14.28%, respectively; (3) The Nemero composite index (P) was between 1.17 and 46.05, suggesting mild to heavy pollution in the study area, with heavy pollution primarily located around the mercury mining area and artisanal mercury smelters, as well as the lower reaches of the Rongxi River; (4) The PMF model analysis demonstrates that the heavy metals in the soil of the study area originate from three sources: natural source (47.21%), mining activities (16.00%), and a mixed source of mining and agricultural activities (36.79%). Specifically, Cd, Cr, and Ni are principally affected by the natural source, Hg by mining activities, As and Pb by the mixed source of mining and agricultural activities, and Cu and Zn are associated with the natural source and the mixed source of mining and agricultural activities; (5) The human health risk model reveals that the consumption of rice, corn, and sweet potato poses composite health risks for both adults and children. Rice consumption exhibits the highest risk index, especially in children, with the main risk factors being As and Cd.

Key wordsmercury mining area    heavy metal    soil-crop    source analysis    health risk assessment
收稿日期: 2023-07-12      修回日期: 2023-10-16      出版日期: 2024-06-20
ZTFLH:  X142  
  X825  
基金资助:重庆市地质矿产勘查开发局川东南地质大队2023年度自立科研项目(CDNKY-2023003)
作者简介: 余飞(1989-),男,硕士,主要研究方向为环境地球化学。Email: yfcags@126.com
引用本文:   
余飞, 王锐, 周皎, 张风雷, 蒋玉莲, 张云逸, 朱世林. 典型汞矿区周边耕地土壤重金属来源解析与农作物健康风险评价[J]. 物探与化探, 2024, 48(3): 847-857.
YU Fei, WANG Rui, ZHOU Jiao, ZHANG Feng-Lei, JIANG Yu-Lian, ZHANG Yun-Yi, ZHU Shi-Lin. Sources of soil heavy metals and health risk assessment of crops in arable land at the periphery of a typical mercury mining area. Geophysical and Geochemical Exploration, 2024, 48(3): 847-857.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2024.1313      或      https://www.wutanyuhuatan.com/CN/Y2024/V48/I3/847
Fig.1  研究区采样点位分布示意
土壤 农作物
指标 测定方法 检出限/10-6 测定方法 检出限/10-6
As X-射线荧光光谱法(XRF) 0.9 等离子体质谱法(ICP-MS) 0.003
Cd 等离子体质谱法(ICP-MS) 0.02 等离子体质谱法(ICP-MS) 0.01
Cr X-射线荧光光谱法(XRF) 2.8 等离子体质谱法(ICP-MS) 0.01
Cu X-射线荧光光谱法(XRF) 0.8 等离子体质谱法(ICP-MS) 0.04
Hg 原子荧光光谱法(AFS) 0.0005 原子荧光光谱法(AFS) 0.0005
Ni X-射线荧光光谱法(XRF) 1.2 等离子体质谱法(ICP-MS) 0.018
Pb X-射线荧光光谱法(XRF) 1.7 等离子体质谱法(ICP-MS) 0.01
Zn X-射线荧光光谱法(XRF) 0.6 等离子体质谱法(ICP-MS) 0.05
pH 玻璃电极法 0.01
Table 1  元素分析方法与检出限
等级 单因子污染指数 内梅罗综合指数 污染等级
1级 Pi≤0.7 P≤0.7 清洁
2级 0.7<Pi≤1.0 0.7<P≤1.0 尚清洁
3级 1.0<Pi≤2.0 1.0<P≤2.0 轻度污染
4级 2.0<Pi≤3.0 2.0<P≤3.0 中度污染
5级 Pi>3.0 P>3.0 重度污染
Table 2  内梅罗指数土壤污染评价等级
评价参数 参考值 数据来源
EF 365 d·a-1 [29]
ED 成人30 d·a-1;儿童10 d·a-1 [30]
BW 成人70 kg;儿童16 kg [29]
AT ED×365 [29]
IR 水稻、玉米和红薯:成人0.300、0.045和
0.069 kg·d-1;儿童0.176、0.033和0.046 kg·d-1
[4]
RfD As、Cd、Cr、Cu、Hg、Ni、Pb和Zn取值分别为
0.0003、0.001、1.5、0.04、0.0003、
0.02、0.004和0.3 mg·(kg·d)-1
[31]
Table 3  健康风险评价模型参数
特征参数 As Cd Cr Cu Hg Ni Pb Zn pH
最小值/10-6 4.24 0.28 67.20 20.97 0.15 29.97 29.20 78.97 4.33
最大值/10-6 50.15 4.67 109.00 96.85 38.73 70.85 75.30 219.98 8.22
平均值/10-6 17.92 1.12 88.86 45.13 3.31 43.52 45.39 127.07 6.10
中值/10-6 16.15 0.92 89.65 42.08 0.78 41.14 43.40 125.70 6.08
变异系数 0.58 0.71 0.12 0.36 2.00 0.23 0.21 0.22 0.16
重庆市土壤背景值[32]/10-6
全国土壤背景值[33]/10-6
6.62
11.20
0.28
0.10
74.4
61.00
24.6
22.60
0.069
0.07
31.6
26.90
28.1
26.00
81.9
74.20

6.70
Table 4  研究区耕地土壤重金属含量特征
Fig.2  单因子指数法评价结果
Fig.3  内梅罗综合指数法评价结果
Evaluation results of P in the study area
Fig.4  研究区土壤重金属污染源成分谱
参数 As Cd Cr Cu Hg Ni Pb Zn
水稻 最小值/10-6 0.07 0.00 0.06 0.73 0.00 0.16 0.05 15.50
最大值/10-6 0.42 1.20 0.23 3.20 0.01 0.58 0.05 25.00
平均值/10-6 0.24 0.19 0.10 1.95 0.01 0.29 0.05 19.60
超标率/% 0.00 16.67 0.00 - 0.00 - 0.00 -
富集因子 0.019 0.187 0.001 0.050 0.007 0.007 0.001 0.168
玉米 最小值/10-6 0.01 0.01 0.06 1.30 0.00 0.14 ND 16.00
最大值/10-6 0.01 0.14 0.10 2.80 0.00 0.70 ND 25.10
平均值/10-6 0.01 0.05 0.08 1.93 0.00 0.36 ND 18.32
超标率/% 0.00 18.75 0.00 - 0.00 - 0.00 -
富集因子 0.001 0.070 0.001 0.044 0.010 0.008 ND 0.144
红薯 最小值/10-6 0.01 0.01 0.04 1.60 0.00 0.16 0.02 2.00
最大值/10-6 0.02 0.19 0.06 2.40 0.00 0.69 0.05 3.80
平均值/10-6 0.02 0.06 0.05 2.06 0.00 0.34 0.04 3.09
超标率/% 0.00 28.57 0.00 - 0.00 - 0.00 -
富集因子 0.001 0.038 0.001 0.053 0.004 0.006 0.001 0.025
Table 5  研究区耕地土壤重金属含量特征
重金属 CDI HQ
成人 儿童 成人 儿童
水稻 玉米 红薯 水稻 玉米 红薯 水稻 玉米 红薯 水稻 玉米 红薯
As 0.0010 0.0000 0.0001 0.0026 0.0001 0.0001 3.381 0.098 0.184 8.678 0.252 0.471
Cd 0.0008 0.0002 0.0002 0.0021 0.0006 0.0005 0.834 0.230 0.199 2.140 0.591 0.511
Cr 0.0004 0.0003 0.0002 0.0011 0.0008 0.0006 0.000 0.000 0.000 0.001 0.001 0.000
Cu 0.0084 0.0083 0.0088 0.0214 0.0212 0.0226 0.209 0.207 0.220 0.536 0.531 0.566
Hg 0.0000 0.0000 0.0000 0.0001 0.0000 0.0000 0.080 0.052 0.027 0.206 0.133 0.070
Ni 0.0012 0.0015 0.0015 0.0032 0.0040 0.0037 0.062 0.077 0.073 0.158 0.198 0.187
Pb 0.0002 - 0.0002 0.0006 - 0.0004 0.054 - 0.039 0.138 - 0.099
Zn 0.0840 0.0785 0.0132 0.2156 0.2015 0.0339 0.280 0.262 0.044 0.719 0.672 0.113
THQ 4.899 0.926 0.786 12.575 2.376 2.018
Table 6  农作物的重金属摄入量及健康风险指数
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