文章摘要
祝航,党秀丽,赵龙,张起源,魏歆倪,刘鹏,石佳悦,AKPANG Paul John.山西南部化工园区地下水重金属污染特征及健康风险评价[J].农业环境科学学报,2026,45(3):727-735.
山西南部化工园区地下水重金属污染特征及健康风险评价
Groundwater heavy metal pollution characteristics and health risk assessment in southern Shanxi chemical industry park
投稿时间:2025-03-22  
DOI:10.11654/jaes.2025-0268
中文关键词: 化工园区  地下水  重金属  空间分布  健康风险
英文关键词: chemical industrial park  groundwater  heavy metals  spatial distribution  health risk
基金项目:
作者单位E-mail
祝航 沈阳农业大学土地与环境学院, 农业农村部东北耕地保育重点实验室, 土肥资源高效利用国家工程实验室, 沈阳 110866
中国环境科学研究院, 环境健康风险评估与研究中心, 北京 100012 
 
党秀丽 沈阳农业大学土地与环境学院, 农业农村部东北耕地保育重点实验室, 土肥资源高效利用国家工程实验室, 沈阳 110866 dxl@syau.edu.cn 
赵龙 中国环境科学研究院, 环境健康风险评估与研究中心, 北京 100012  
张起源 沈阳农业大学土地与环境学院, 农业农村部东北耕地保育重点实验室, 土肥资源高效利用国家工程实验室, 沈阳 110866  
魏歆倪 沈阳农业大学土地与环境学院, 农业农村部东北耕地保育重点实验室, 土肥资源高效利用国家工程实验室, 沈阳 110866  
刘鹏 沈阳农业大学土地与环境学院, 农业农村部东北耕地保育重点实验室, 土肥资源高效利用国家工程实验室, 沈阳 110866  
石佳悦 沈阳农业大学土地与环境学院, 农业农村部东北耕地保育重点实验室, 土肥资源高效利用国家工程实验室, 沈阳 110866  
AKPANG Paul John 沈阳农业大学土地与环境学院, 农业农村部东北耕地保育重点实验室, 土肥资源高效利用国家工程实验室, 沈阳 110866  
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中文摘要:
      根据地下水环境状况调查评估要求,采集山西省晋城市某化工园区14组地下水样品,采用内梅罗指数和相关性分析方法对锰、铜、锌、砷(类金属)、镉、铅、镍、汞、六价铬进行水质分析以及相关性分析,利用反距离权重插值法研究污染分布特征,并采用健康风险模型对不同人群在不同暴露途径下的健康风险进行量化评估。结果显示:重金属锰为严重污染,铅和镍为中度污染,内梅罗污染指数分别为26.97、0.85、0.81。锰的变异系数最大(212.56%),镍最小(63.60%),所有重金属均高度变异。锰、铜、铅、镉、镍元素的浓度之间存在显著正相关关系(P<0.05),说明这5种重金属的污染源以及迁移途径相似,推测可能来源于企业生产活动,类金属砷和以上5种重金属之间的相关性不显著,推测砷来源于农业活动或自然源以及历史遗留。在不同暴露途径下,锰对成年人和未成年人的风险值最大,但研究区整体非致癌风险值低于1,处于人体可接受水平。研究表明,镉通过饮用途径对未成年人和成年人造成的致癌健康风险最大,风险值为1.31×10-4和1.15×10-2,已超过致癌风险可接受范畴;皮肤接触途径下,砷和镉引发的致癌风险尚处于可接受水平。
英文摘要:
      According to the requirements of the investigation and assessment of the groundwater environmental status, 14 groups of groundwater samples were collected from a chemical industrial park in Jincheng City, Shanxi Province. The Nemelo index and correlation analysis methods were used to conduct water quality analysis and correlation analysis on manganese, copper, zinc, arsenic(metaloid), cadmium, lead, nickel, mercury and hexavalent chromium. The inverse distance weight interpolation method was used to study the pollution distribution characteristics. And the health risk model was adopted to quantitatively assess the health risks of different populations under different exposure routes. The results show that heavy metal manganese is severely polluted, lead and nickel are moderately polluted, and the Nemero pollution indices are 26.97, 0.85 and 0.81, respectively. The coefficient of variation of manganese was the largest(212.56%), that of nickel was the smallest(63.60%), and all heavy metals were highly variable. There was a significant positive correlation among the concentrations of manganese, copper, lead, cadmium and nickel elements(P<0.05), indicating that the pollution sources and migration routes of these five heavy metals were similar. It was speculated that they might originate from enterprise production activities. The correlation between the metalloid arsenic and the other five heavy metals was not significant. It was speculated that arsenic originated from agricultural activities, natural sources or historical legations. Under different exposure routes, the risk values of manganese for juveniles and adults were the greatest, but the overall non-carcinogenic risk value in the study area was lower than 1, which was at an acceptable level for the human body. Studies have shown that cadmium poses the greatest carcinogenic health risk to juveniles and adults through drinking, with risk values of 1.31 × 10-4 and 1.15 × 10-2, which have exceeded the acceptable range of carcinogenic risk. Under the skin contact route, the carcinogenic risk caused by arsenic and cadmium is still at an acceptable level.
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