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曹海龙简介

来源:永利集团304am官方入口   发布:2023-10-31 15:20:22  点击量:


曹海龙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       永利集团304am官方入口    永利集团304am官方入口  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 = 11.357SCI 1top

[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 = 6.708SCI 1top

[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 = 6.796SCI 2

[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 = 6.708SCI 1top

[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 = 6.708SCI 1top

[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 = 6.708SCI 1top


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


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