南京重工业园区周边区域地表灰尘重金属污染调查研究

大气与环境光学学报 ›› 2022, Vol. 17 ›› Issue (4): 429-441.

南京重工业园区周边区域地表灰尘重金属污染调查研究

徐淦1;2, 李澳1;2, 田瑞臻1;2, 犹丽1;2, 卢浩楠1;2, 张婉淇1;2, 齐萃妮1;2, 吕天池1;2, 李凤英1;2, 杨孟1;2, 郑军1;2∗

1 南京信息工程大学环境科学与工程学院, 江苏南京 210044; 2 江苏省大气环境监测与污染控制高技术研究重点实验室, 江苏南京 210044

收稿日期:2020-12-20 修回日期:2022-05-23 出版日期:2022-07-28 发布日期:2022-07-28
通讯作者: E-mail: zheng.jun@nuist.edu.cn E-mail:zheng.jun@nuist.edu.cn
作者简介:徐淦 (1999 - ), 云南大理人, 主要从事大气环境方面的研究。 E-mail: 201883300433@nuist.edu.cn
基金资助:
Supported by National Key Research and Development Project of China (国家重点研发计划, 2017YFC0209501), National Natural Science Foundation of China (国家自然科学基金, 41675126, 41730106)

Investigation on heavy metal pollution of surface dust in surrounding area of Nanjing heavy industry park

XU Gan1;2, LI Ao1;2, TIAN Ruizhen1;2, YOU Li1;2, LU Haonan1;2, ZHANG Wanqi1;2, Qi Cuini1;2, LYU Tianchi1;2, LI Fengying1;2, YANG Meng1;2, ZHENG Jun1;2

1 School of Environment Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; 2 Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing 210044, China

Received:2020-12-20 Revised:2022-05-23 Published:2022-07-28 Online:2022-07-28
Contact: Jun ZHENG E-mail:zheng.jun@nuist.edu.cn

摘要/Abstract

摘要： 针对 2020 年 9 月至 2020 年 10 月在南京钢铁集团外采集的 25 个地表灰尘样品, 使用手持式 X 射线荧光光谱仪 (XRF) 分析其中 Cr、 Mn、 Fe、 Cu、 Zn、 Hg、 Pb、 Sr、 Zr、 Mo 这 10 种重金属元素含量, 运用统计学方法、单因子指数、地累积指数对研究区土壤重金属污染程度进行评价, 并采用正定矩阵因子分解模型解析了重金属污染源。结果表明, 地表灰尘重金属平均含量为: Cr (260±14 mg·kg−1)、 Mn (1550±22 mg·kg−1)、 Fe (165000±1000 mg·kg−1)、 Cu (67±9 mg·kg−1)、 Zn (600±13 mg·kg−1)、 Hg (16±6 mg·kg−1)、 Pb (102±7 mg·kg−1)、 Sr (275±10 mg·kg−1)、 Zr (302±5 mg·kg−1)、 Mo (13±3 mg·kg−1), 地累积指数平均值为 2.13, 区域整体呈中度污染, 其中 Hg 为严重污染, Mo 为重污染, Zn 为中度污染, Cr、 Fe、 Pb 为偏中污染, Mn、 Cu、 Sr 为轻度污染, Zr 无污染。研究区西北部及北部为重金属含量高值区, 地表灰尘中重金属有较多富集。源解析分析表明研究区内地表灰尘重金属有 3 个主要来源: 一是工业排放源, 二是自然源及生活源, 三是机动车排放源。其中工业排放源为主要来源, 对重金属的贡献率为 49.3%; 其次为自然源及生活源和机动车排放源, 贡献率分别为 30.7% 和 20.0%。

关键词: 工业园区, 地表灰尘, 重金属, 单因子指数法, 地累积污染指数法, 正定矩阵因子解析

Abstract: 25 soil dust samples collected outside Nanjing Iron and Steel Group, China, from September to October 2020 are analyzed by a handheld X-ray fluorescence spectrometer. Ten heavy metal elements, including chromium (Cr), magnesium (Mn), iron (Fe), copper (Cu), zinc (Zn), mercury (Hg), lead (Pb), strontium (Sr), zirconium (Zr) and molybdenum (Mo), are quantified, and their impacts on local soil pollution are assessed by various statistical models. In addition, a receptor model, positive matrix factorization (PMF), is used for source apportionment of these heavy metals. It is shown that the concentrations of these heavy metals in the ground surface soils are Cr (260 ± 14 mg·kg−1), Mn (1550 ± 22 mg·kg−1), Fe (1.65 ± 0.01 mg·kg−1), Cu (67 ± 9 mg·kg−1), Zn (600 ± 13 mg·kg−1), Hg (16 ± 6 mg·kg−1), Pb (102 ± 7 mg·kg−1), Sr (275 ± 10 mg·kg−1), Zr (302 ± 5 mg·kg−1) and Mo (13 ± 3 mg·kg−1), respectively. Their averaged surface accumulation index is 2.13, indicating a moderate level of pollution. Individually, Hg is severely polluted, Mo is heavily polluted, Zn is moderately polluted, Cr, Fe and Pb are slightly-to-moderately polluted, Mn, Cu and Sr are slightly polluted, Zr is below the pollution level. It is found that most of the high concentration samples are taken from the north and northwest parts of the study area, where heavy metals are prone to accumulation. Three major sources of heavey metals in the study area are identified by the PMF analysis: industrial emissions (49.3%), domestic activities (30.7%) and automobile emissions (20.0%).

Key words: industry park, surface dust, heavy metals, pollution index, geo-accumulation index, positive matrix factorization

中图分类号:

X825

徐淦, 李澳, 田瑞臻, 犹丽, 卢浩楠, 张婉淇, 齐萃妮, 吕天池, 李凤英, 杨孟, 郑军, ∗. 南京重工业园区周边区域地表灰尘重金属污染调查研究[J]. 大气与环境光学学报, 2022, 17(4): 429-441.

XU Gan, LI Ao, TIAN Ruizhen, YOU Li, LU Haonan, ZHANG Wanqi, Qi Cuini, LYU Tianchi, LI Fengying, YANG Meng, ZHENG Jun, . Investigation on heavy metal pollution of surface dust in surrounding area of Nanjing heavy industry park[J]. Journal of Atmospheric and Environmental Optics, 2022, 17(4): 429-441.

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