摘要
为了解新乡市地表水中HCHs和DDTs的分布特征及生态风险,采集新乡市18个地表水样并测定其中HCHs和DDTs的含量,采用概率密度函数重叠面积法和安全阈值法评价了HCHs和DDTs的生态风险.结果表明,新乡市地表水中HCHs和DDTs的质量浓度范围分别为1.28~49.2 ng·L-1和0.42~12.3 ng·L-1,与世界各地的地表水中HCHs和DDTs残留质量浓度相比属于中等污染水平.异构体比值表明HCHs污染的主要来源是林丹的使用,而DDTs的残留来源于工业品DDTs的使用.生态风险评价基于DDD、γ-HCHs和p,p’-DDT的暴露浓度以及相应的毒性数据,概率密度函数重叠面积法和安全阈值法均表明了这3种有机氯农药中DDD的风险最大,其次是γ-HCHs,p,p’-DDT的生态风险最小;安全阈值法进一步表明DDD、γ-HCHs和p,p’-DDT超过影响10%水生生物的概率分别为10.2%、5.94%和0.01%.
In order to investigate the distribution characteristics and ecological risk of HCHs and DDTs in the surface water of Xinxiang,18 surface water samples were collected from from Xinxiang and the concentrations of HCHs and DDTs were determined. The ecological risk of HCHs and DDTs was evaluated using the overlapping areas of probability density function and safety threshold methods. The results showed that the levels of total HCHs( Σ HCHs) and total DDTs( Σ DDTs) in 18 samples detected by GCECD ranged from 1. 28 ng·L-1to 49. 2 ng·L-1and from 0. 42 ng·L-1to 12. 3 ng·L-1,respectively. In comparison with those reported for other rivers around the world,the levels of HCHs and DDTs in surface water from Xinxiang ranked middle. The main cause for HCHs and DDTs residues in the studied area was usage of lindane and technical DDTs as revealed by the isomer ratios. The ecological risk evaluation was based on the exposure concentration and available chronic toxicity data of p,p’-DDT,γ-HCHs and DDD,and the overlapping areas of probability density function and safety threshold methods both showed that the ecological risk of these three OCPs to aquatic organism was in the order of DDD > γ-HCHs > p,p’-DDT. And the probability of exposure concentration exceeding the10% value of the toxicity data for DDD,γ-HCHs and p,p’-DDT was 10. 2%,5. 94%,0. 01%,respectively.
出处
《环境科学》
EI
CAS
CSCD
北大核心
2015年第8期2849-2856,共8页
Environmental Science
基金
国家自然科学基金项目(41103071)
河南省基础与前沿技术研究项目(122300410270)
河南省创新型科技人才队伍建设工程项目
河南省科技创新人才计划项目(134200510014)
关键词
HCHS
DDTS
新乡市地表水
生态风险
概率密度函数重叠面积法
安全阈值法
HCHs
DDTs
surface water from Xinxiang
ecological risk
overlapping areas of probability density function
safety threshold method
