吴洪石，博士，讲师，博士毕业于河海大学，长期从事流域洪水预报研究，中国水利学会、中国自然资源学会水资源专业委员会会员。近5年在《Science of the Total Environment》《Environmental Research》《Journal of Hydrology》《水资源保护》等国内外期刊发表学术论文15篇。参与国家自然科学基金等纵向课题5项。代表性论文及科研项目如下：

科研论文：

[1] Wu H, Shi P^#, Qu S^#, et al. A hydrologic similarity-based parameters dynamic matching framework: application to enhance the real-time flood forecasting[J]. Science of the Total Environment, 2023, 907, 167767.

[2] Wu H, Shi P^#, Qu S, et al. Establishment of watershed ecological water requirements framework: A case study of the Lower Yellow River, China[J]. Science of the Total Environment, 2022, 820, 153205.

[3] Shi P,Wu H^#, Qu S^#, et al. Advancing real-time error correction of flood forecasting based on the hydrologic similarity theory and data mining techniques[J]. Environmental Research, 2024, 246, 118533.

[4] 吴洪石,石朋^#,瞿思敏,等.水文相似性研究进展[J],水资源保护, 2023,39(6):77-86, 94.

[5] Xu L, Shi P^#,Wu H, et al. Investigating the potential of EMA-embedded feature selection method for ESVR and LSTM to enhance the robustness of monthly streamflow forecasting from local meteorological information[J]. Journal of Hydrology, 2024, 646, 131230.

[6] Shi P, Xu L, Qu S^#,Wu H, et al. Assessment of hybrid kernel function in extreme support vector regression model for streamflow time series forecasting based on a bayesian estimator decomposition algorithm[J]. Engineering Applications of Artificial Intelligence, 2025, 149, 110514.

[7] Li Y, Deng Q, Chang J^#, Huang Y, Zhang H, Fan J,Wu H. Nonlinear propagation of meteorological to hydrological drought: Contrasting dynamics in humid and semi-arid regions[J]. Journal of Hydrology, 2025, 657, 133012.

科研项目：

[1] 国家自然科学基金联合基金重点项目，黄河源区高分辨率雨量场构建与多尺度气象水文预报，U2243229，参与。

[2] 国家自然科学基金面上项目，基于洪水相似性的实时洪水预报精度保障与提升关键技术研究，52179011，参与。

[3] 国家自然科学基金面上项目，考虑多重风险的澜沧江流域径流多目标适应性调控研究，91647112，参与。