Author:
Cao Hailong,Xie Xianjun,Wang Yanxin,Deng Yamin
Funder
National Natural Science Foundation of China
Subject
Water Science and Technology
Reference49 articles.
1. Statistical Modeling of Global Geogenic Arsenic Contamination in Groundwater
2. Apley, D. W., Zhu, J., 2016 Visualizing the effects of predictor variables in black box supervised learning models. Preprint at arXiv:1612.08468.
3. Argos, M., Kalra, T., Rathouz, P. J., Chen, Y, Pierce, B, Parvez, F, Islam, T, Ahmed,A, Rakibuz-Zaman, M, Hasan, R, Sarwar, G, Slavkovich, V, van Geen, A, Graziano, J, Ahsan, H., 2010. Arsenic exposure from drinking water, and all-cause and chronic-disease mortalities in Bangladesh (heals): a prospective cohort study. Lancet. 376, 252-258. https://doi.org/10.1016/S0140-6736(10)60481-3.
4. Estimating the High-Arsenic Domestic-Well Population in the Conterminous United States
5. Predicting Arsenic in Drinking Water Wells of the Central Valley, California
Cited by
27 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献