摘要
针对重金属污染指数(HPI)、重金属评估指数(HEI)方法的部分局限性,对重金属污染指数(HPI)进行了改进,形成了改进的地表水重金属污染指数|r-HPI|方法,并分别应用重金属污染指数(HPI)、重金属评估指数(HEI)、改进的重金属污染指数(|r-HPI|)对研究区域连续三年共1164个地表水样品统计分析,验证了|r-HPI|方法使用方便,具有灵活性,并且综合考虑了不同重金属之间的内在联系,有利于反映出水体重金属污染的真实状况。基于普通克里金插值的地理空间图清楚地反映了|r-HPI|的年际变化。通过Kolmogorov-Smirnov检验数据集的正态性,观察到显著差异(P<0.05)。|r-HPI|通过Bland-Altman分析并验证了其有效性,表明在地表水重金属污染研究中的良好适用性。
To some of the limitations of the Heavy Metal Pollution Index(HPI)and Heavy Metal Evaluation Index(HEI)methods,HPI was specially improved in this article to form an improved surface water heavy metal pollution index|r-HPI|method.1164 surface water samples in the study area for three consecutive years were analyzed statistically with HPI,HEI and|r-HPI|,verifying the convenience and flexibility of|r-HPI|method,which was in favor of reflecting the real situation of heavy metal pollution in water because of the internal relationship between different heavy metals comprehensively considered.The geospatial map based on ordinary Kriging interpolation reflected clearly the inter-annual changes of|r-HPI|.When the normality of the data set was tested by Kolmogorov-Smirnov,a significant difference was observed(P<0.05).|r-HPI|has been verified effective by Bland-Altman,showing its good applicability in the study of heavy metal pollution in surface water.
作者
赵一蔚
高良敏
陈晓晴
查甫更
石闯
张海强
ZHAO Yiwei;GAO Liangmin;CHEN Xiaoqing;ZHA Fugeng;SHI Chuang;ZHANG Haiqiang(School of Earth and Environment,Anhui University of Science and Technology,Huainan Anhui 232001,China)
出处
《安徽理工大学学报（自然科学版）》
CAS
2021年第2期45-50,共6页
Journal of Anhui University of Science and Technology:Natural Science
基金
安徽省重点研究与开发计划基金资助项目(202004i07020012)。
