曹海龙,男,1993年生,博士,讲师
研究方向
资源和环境领域(地质成因劣质地下水)的机器学习和深度学习研究
学术网页介绍
ResearchGate:https://www.researchgate.net/profile/Hailong-Cao-3
联系方式
邮箱:hlcao@yangtzeu.edu.cn
教育背景
2020.09-2023.06 中国地质大学(武汉) 环境学院 环境科学与工程 博士
2016.09-2019.06 中国地质大学(武汉) 环境学院 环境科学与工程 硕士
2012.09-2016.06 中国地质大学(武汉) 环境学院 环境工程 本科
工作经历
2023.07-至今 长江大学 伟德BETVlCTOR体育 讲师
代表论著
[1] Cao, Hailong, Xie, Xianjun, Shi, Jianbo, Jiang, Guibin, Wang, Yanxin. (2022). Siamese Network-Based Transfer Learning Model to Predict Geogenic Contaminated Groundwaters. Environmental Science & Technology. 56(15): 11071-11079. DOI: 10.1021/acs.est.1c08682.(IF = 11.357,SCI 1区top)
[2] Cao, Hailong, Xie, Xianjun, Shi, Jianbo, Wang, Yanxin. (2022). Evaluating the validity of class balancing algorithms-based machine learning models for geogenic contaminated groundwaters prediction. Journal of Hydrology. 610: 127933. DOI: 10.1016/j.jhydrol.2022.127933. (IF = 6.708,SCI 1区top)
[3] Cao, Hailong, Xie, Xianjun, Wang, Yanxin, Liu, Hongxing. (2022). Predicting geogenic groundwater fluoride contamination throughout China. Journal of environmental sciences. 115: 140-148. DOI: 10.1016/j.jes.2021.07.005.(IF = 6.796,SCI 2区)
[4] Cao, Hailong, Xie, Xianjun, Wang, Yanxin, Deng, Yamin. (2021). The interactive natural drivers of global geogenic arsenic contamination of groundwater. Journal of Hydrology. 597: 126214. DOI: 10.1016/j.jhydrol.2021.126214.(IF = 6.708,SCI 1区top)
[5] Cao, Hailong, He, Junrong, Xie, Xianjun, Wang, Yanxin, Li, Junxia, Qian, Kun, Deng, Yamin, Gan, Yiqun. (2020). The effect of groundwater velocities on sulfidation of arsenic-bearing ferrihydrite: Insight from column experiments. Journal of Hydrology. 586: 124827. DOI: 10.1016/j.jhydrol.2020.124827.(IF = 6.708,SCI 1区top)
[6] Cao, Hailong, Xie, Xianjun, Wang, Yanxin, Pi, Kunfu, Li, Junxia, Zhan, Hongbin. (2018). Predicting the risk of groundwater arsenic contamination in drinking water wells. Journal of Hydrology. 560: 318-325. DOI: 10.1016/j.jhydrol.2018.03.007.(IF = 6.708,SCI 1区top)
奖励荣誉
2022年博士研究生国家奖学金
2021年博士研究生国家奖学金
2018年硕士研究生国家奖学金