Assessment of Regional Human Health Risks from Lead Contamination in Yunnan Province, Southwestern China

被引:13
作者
Lu, Lu [1 ]
Cheng, Hongguang [1 ]
Liu, Xuelian [1 ]
Xie, Jing [1 ]
Li, Qian [2 ]
Zhou, Tan [3 ]
机构
[1] Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
[2] Standardizat Tech Res Ctr, Shandong Inst Standardizat, Jinan, Shandong, Peoples R China
[3] Texas A&M Univ, Spatial Sci Lab, College Stn, TX USA
来源
PLOS ONE | 2015年 / 10卷 / 04期
基金
中国国家自然科学基金;
关键词
MODEL; EMISSIONS; EXPOSURE;
D O I
10.1371/journal.pone.0119562
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Identification and management the 'critical risk areas' where hotspot lead exposures are a potential risk to human health, become a major focus of public health efforts in China. But the knowledge of health risk assessment of lead pollution at regional and national scales is still limited in China. In this paper, under the guidance of 'sources-pathways-receptors' framework, regional human health risk assessment model for lead contamination was developed to calculate the population health risk in Yunnan province. And the cluster and AHP (analytic hierarchy process) analysis was taken to classify and calculate regional health risk and the decomposition of the regional health risk in the greatest health risk region, respectively. The results showed that Yunnan province can be divided into three areas. The highest health risk levels, located in northeastern Yunnan, including Kunming, Qujing, Zhaotong region. In those regions, lead is present at high levels in air, food, water and soil, and high population density which pose a high potential population risk to the public. The current study also reveals that most regional health risk was derived from the child receptors (age above 3 years) 4.3 times than the child receptors (age under 3years), and ingestion of lead-contaminated rice was found to be the most significant contributor to the health risk (accounting for more than 49% health risk of total). This study can provide a framework for regional risk assessment in China and highlighted some indicators and uncertainties.
引用
收藏
页数:15
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