熊瀚翔，男，1995年出生，博士，特任副教授
研究方向
机器学习，涉及地质灾害、地下水（水量、水质、水位、脆弱性等）生态保护等；
地下水污染防治、地下水风险管控与可持续管理；
稳定同位素技术与地下水污染溯源。
联系方式
邮箱：626005@yangtzeu.edu.cn
教育背景
2021.09-2025.12 中国地质大学（武汉） 环境学院 水利工程 博士
2018.02-2020.07 墨尔本大学（澳大利亚） 电气、机械与基础设施工程学院, 环境工程 硕士
2015.11-2017.12 迪肯大学（澳大利亚） 生命与环境科学学院 环境科学 本科
工作经历
2026.01至今 英国威廉集团 williamhill英国 特任副教授
代表性论著（按发表时分区）
[1] Xiong, H., Wang, Y.*, Guo, X., Han, J., Ma, C., & Zhang, X. (2022). Current status and future challenges of groundwater vulnerability assessment: A bibliometric analysis. Journal of Hydrology, 615, 128694. (中科院JCR一区)
[2] Xiong, H., Yang, S., Tan, J., Wang, Y., Guo, X., & Ma, C.* (2024). Effects of DEM resolution and application of solely DEM-derived indicators on groundwater potential mapping in the mountainous area. Journal of Hydrology, 636, 131349. (中科院JCR一区)
[3] Xiong, H., Ma, C.*, Li, M., Tan, J., & Wang, Y. (2023). Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China. Science of the Total Environment 866, 161430. (中科院JCR一区)
[4] Xiong, H., Wang, J., Yang, C., Li, S., Li, X., Xiong, R., ... & Ma, C.* (2025). Critical role of vegetation and human activity indicators in the prediction of shallow groundwater quality distribution in Jianghan Plain with LightGBM algorithm and SHAP analysis. Chemosphere, 376, 144278. (中科院JCR二区)
[5] Xiong, H., Li, Y., Xiong, R., Xiong, H., Tan, J., Yang, S., ... & Guo, X.* (2025). Integrating Aquifer Vulnerability and Explainable Machine Learning for Spatial Prediction of Groundwater Fluoride. Groundwater for Sustainable Development, 101517. (中科院JCR二区)
[6] Xiong, H., Sun, Y., & Ren, X.* (2020). Comprehensive assessment of water sensitive urban design practices based on multi-criteria decision analysis via a case study of the University of Melbourne, Australia. Water 12(10), 2885. (中科院JCR四区)
[7] Xiong, H., Guo, X., Wang, Y., Xiong, R., Gui, X., Hu, X., ... & Ma, C.* (2023). Spatial prediction of groundwater potential by various novel boosting-based ensemble learning models in mountainous areas. Geocarto International 38(1), 2274870. (中科院JCR四区)
[8] Wu, L+., Xiong, H+., Chen, Y., Wang, S., Liu, M., Wang, J., ... & Garg, S. (2025). Fe (IV)/Fe (V)-mediated oxidation processes in water and wastewater treatment: Recent progress and current challenges. Chemical Engineering Journal, 172121. (中科院JCR一区)
[9] Zhou, S+., Xiong, H+., Song, X., He, Z., Peng, Q., Guo, X., … Wang, Y. (2025). Spatial prediction of groundwater nitrate by explainable machine learning models and remote sensing indicators under conditions of imbalanced datasets. Geocarto International, 40(1), 2557953. (中科院JCR四区)
[10] Song, X., Xiong, R., He, Z., Luo, D., Li, S., Wang, Y., ... & Xiong, H. * (2025). Groundwater level prediction in urban karst regions: The comparison of ensemble learning and deep learning models by considering climate conditions. Urban Climate, 64, 102687. (中科院JCR二区)
[11] Yang, S., Tan, J., Luo, D., Wang, Y., Guo, X., Zhu, Q., ... & Xiong, H.* (2024). Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis. Computers & Geosciences, 193, 105723. (中科院JCR二区)
[12] Yang, S., Luo, D., Tan, J., Li, S., Song, X., ... & Xiong, H.* (2024). Spatial Mapping and Prediction of Groundwater Quality Using Ensemble Learning Models and SHapley Additive exPlanations with Spatial Uncertainty Analysis. Water 16(17), 2375. (中科院JCR四区)
[13] Tan, J., Yang, C., Wang, Y., Xiong, H.*, & Ma, C.* (2024). A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction. Geocarto International, 39(1), 2322066. (中科院JCR四区)
[14] Wang, Z., Xiong, H., Zhang, F., Qiu, Y., & Ma, C. * (2024). Sustainable development assessment of ecological vulnerability in arid areas under the influence of multiple indicators. Journal of Cleaner Production, 436, 140629. (中科院JCR一区)
[15] Guo, X., Xiong, H., Li, H., Gui, X., Hu, X., Li, Y., ... & Ma, C. * (2023). Designing dynamic groundwater management strategies through a composite groundwater vulnerability model: Integrating human-related parameters into the DRASTIC model using LightGBM regression and SHAP analysis. Environmental Research, 236, 116871. (中科院JCR二区)
[16] Guo, X., Gui, X., Xiong, H., Hu, X., Li, Y., Cui, H., ... & Ma, C. * (2023). Critical role of climate factors for groundwater potential mapping in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms. Journal of Hydrology, 621, 129599. (中科院JCR一区)
[17] Xiong, R., Zhang, C., Xiong, H., Huang, S., & Li, J. * (2024). Comparing the abiotic removal of glyphosate by β-MnO2 and δ-MnO2 colloids: Insights into kinetics and mechanisms. Environmental Pollution, 357, 124432. (中科院JCR二区)
[18] Qiu, Y., Zhou, A., Xiong, H., Zhang, D., Su, C., Zhou, S., ... & Ma, C. (2025). Probabilistic mapping of imbalanced data for groundwater contamination using classification algorithms: Performance and reliability. Groundwater for Sustainable Development, 28, 101393. (中科院JCR二区)
[19] Guo, X., Yang, Z., Li, C., Xiong, H., & Ma, C. * (2023). Combining the classic vulnerability index and affinity propagation clustering algorithm to assess the intrinsic aquifer vulnerability of coastal aquifers on an integrated scale. Environmental Research, 217, 114877. (中科院JCR二区)
[20] Qiu, Y., Zhang, F., Gao, L., He, Z., Xiong, H.., Peng, L., ... & Zhou, A. * (2026). Uncovering the dynamic role of bedrock-stored water in ecosystem evapotranspiration. Journal of Hydrology, 134987. (中科院JCR一区)
科研项目
纵向课题：
[1] 湖北省地质局科技项目《汉江流域河谷平原区浅层地下水氮污染综合研究》（KJ2024-32），2024.01-2025.06，参加，结题；
[2] 地区科技计划资助项目《区域降雨诱发滑坡灾害气象风险预警系统构建》（KS2023-30），2023.01-2025.12，参加，结题；
[3] 贵州省科技计划项目《喀斯特地区城市轨道交通建设对地下水环境的影响及保护关键技术研究与应用》（黔科合支撑[2022]一般210），2022.7-2025.06，参加，结题；
横向课题：
[4] 郧西县香口乡宋家河村金盆废弃硫铁矿地下水污染防控与修复项目，2022.07-2024.06，参加，结题
[5] 贵阳市区域地下水污染评价及监测网络设计项目，2024.06-2025.12，参加，结题
[6] 长江荆江段及洪湖流域山水林田湖草沙一体化保护和修复工程项目实施方案优化及总体咨询，2023.05-2024.10，参加，结题。
