[Analysis and Prediction of Health Risk from Heavy Metals in Drinking Water Sources Based on Time Series Model].
摘要
, had significant upward trend in 2018 with Spearman rank correlation coefficient 0.902098. The ARIMA(3,1,3) model was able to predict the comprehensive carcinogenic risk for children from heavy metals in drinking water, and the result indicated the children comprehensive carcinogenic risk should be monitored to ensure levels between 0.000200 and 0.000302. The study has positive significance for risk warning and environmental management compared to the analysis and prediction of health risk from heavy metals in drinking water sources based on time series models.
引用本文（GB/T 7714）
Chao Ji, Dawei Hou, Li Xie, 等. [Analysis and Prediction of Health Risk from Heavy Metals in Drinking Water Sources Based on Time Series Model].[J]. PubMed, 2021.
引文网络
本站仅收录题录与摘要供学习参考，全文版权归属出版方；如有侵权请联系我们删除。