一、科研项目 [1] 项目负责人,国家自然科学基金青年项目,基于粒子示踪的滨海城市暴雨-潮位联合致涝机制及调控阈值研究(52109040) [2] 项目负责人,中国博士后科学基金面上项目二等,城市内涝致灾机理研究(2021M702950) [3] 项目负责人,河南省科技攻关项目,基于水质示踪的城市内涝积水溯源与精细调控关键技术研究(222102320025) [4] 项目负责人,河南省高等学校重点科研项目,城市内涝风险评价和减灾调控研究(22B570003) [5] 项目负责人,国家重点实验室开放创新基金,沿海城市降雨-潮位复合致涝效应及调控方法研究(HESS-2106) [6] 项目负责人,长江设计集团开放创新基金,基于深度学习的城市洪涝积水过程预报预警研究(CX2021K09) [7] 项目负责人,智慧水利工程研究中心开放课题研究基金,基于灰色关联改进TOPSIS模型的区域洪涝风险综合评估研究(2023s2ykl008) [8] 课题联系人,国家重点研发计划课题,特大干旱条件下区域抗旱水源配置与用水极限控制研究(2021YFC3000204) 二、部分发表论文 [1] Xu H., Ma C., Lian J. et al. Urban flooding risk assessment based on an integrated K-means cluster algorithm and improved entropy weight method in the region of Haikou, China. Journal of Hydrology, 2018, 563: 975-86. (中科院一区TOP,ESI高被引论文) [2] Guan X., Xia C., Xu H.*, et al. Flood risk analysis integrating of Bayesian-based time-varying model and expected annual damage considering non-stationarity and uncertainty in the coastal city. Journal of Hydrology, 2023, 617: 129038. (中科院一区TOP) [3] Wang H., Xu S., Xu H.*, et al. Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city. Sustainable Cities and Society, 2023, 99, 104898. (中科院一区TOP, IF=11.7) [4] Xu H., Ma C., Xu K. et al. Staged optimization of urban drainage systems considering climate change and hydrological model uncertainty. Journal of Hydrology, 2020, 587: 124959. (中科院一区TOP) [5] Wang T., Wang P.*, Wu Z., Yu J., Pozdniakov S.P., Guan X., Wang H., Xu H.*, Yan D. Modeling revealed the effect of root dynamics on the water adaptability of phreatophytes. Agricultural and Forest Meteorology, 2022, 320:108959. (中科院一区TOP) [6] Xu H., Zhang X. et al. Amplification of flood risks by the compound effects of precipitation and storm tides under the nonstationary scenario in the coastal city of Haikou, China. Int J Disaster Risk Sci, 2022, 13: 602–620. (中科院二区) [7] Wu Z., Xue W., Xu H. *, et al. Urban flood risk assessment in Zhengzhou, China, based on a D-number-improved analytic hierarchy process and a self-organizing map algorithm. Remote Sensing, 2022, 14(19):4777. (中科院二区TOP) [8] Xu K., Han Z., Xu H.*, et al. Rapid prediction model for urban floods based on a Light Gradient Boosting Machine approach and hydrological-hydraulic model. International Journal of Disaster Risk Science, 2023, 14: 79-97. (中科院二区) [9] Xu H., Xu K., Lian J. et al. Compound effects of rainfall and storm tides on coastal flooding risk. Stochastic Environmental Research and Risk Assessment, 2019, 33(7): 1249-1261. (中科院二区) [10] Xu H., Xu K., Wang T. et al. Investigating flood risks of rainfall and storm tides affected by the parameter estimation coupling bivariate statistics and hydrodynamic models in the coastal city. Int. J. Environ. Res. Public Health 2022, 19, 12592. (中科院三区) [11] Xu H., Xu K., Bin L.*, et al. Joint risk of rainfall and storm surges during typhoons in a coastal city of Haidian Island, China. International Journal of Environmental Research and Public Health, 2018, 15(7): 1377. (中科院三区) [12] Lian J., Xu H., Xu K. et al. Optimal management of the flooding risk caused by the joint occurrence of extreme rainfall and high tide level in a coastal city. Natural Hazards, 2017, 89 (1): 183-200. (中科院三区) [13] Zhou, Y., Wu, Z., Xu, H., Yan, D., Jiang, M., Zhang, X., Wang, H. Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood. Journal of Hydrology, 2023, 626: 130152. (中科院一区TOP) [14] Qi W., Ma C., Xu H. et al. Urban flood response analysis for designed rainstorms with different characteristics based on a tracer-aided modeling simulation. Journal of Cleaner Production, 2022, 355, 131797. (中科院一区) [15] Qi W., Ma C., Xu H. et al. A comprehensive analysis method of spatial prioritization for urban flood management based on source tracking. Ecological Indicators, 2022, 135, 108565. (中科院二区) [16] Qi W., Ma C., Xu H. et al. Low impact development measures spatial arrangement for urban flood mitigation: an exploratory optimal framework based on source tracking. Water Resources Management, 2021, 35, 3755-3770. (中科院二区) [17] Ma C., Qi W., Xu H. et al. An integrated quantitative framework to assess the impacts of disaster-inducing factors on causing urban flood. Natural Hazards, 2022, https://doi.org/10.1007/s11069-022-05375-y. (中科院三区) [18] Qi W., Ma C., Xu H. et al. A review on applications of urban flood models in flood mitigation strategies, Natural Hazards, 2021, 108: 31-62. (中科院三区) [19] Zhou, Y., Wu, Z., Xu, H. et al. Integrated dynamic framework for predicting urban flooding and providing early warning. Journal of Hydrology, 2023, 618: 129205. (中科院一区TOP) [20] Zhou, Y., Wu, Z., Xu, H., Wang, H. Prediction and early warning method of inundation process at waterlogging points based on Bayesian model average and data-driven. Journal of Hydrology-Regional Studies, 2022, 44: 101248. (中科院二区) [21] 许红师, 练继建, 宾零陵, 等. 台风灾害多元致灾因子联合分布研究. 地理科学,2018,38(12):2118-2124. [22] 赵佳慧,许红师*,王田野,等. 基于改进熵权-TOPSIS-灰色关联方法的城市洪涝风险评估,水利水电技术,2022, 53(8): 58-73. 三、出版专著/教材 [1]合著专著《数据驱动的城市洪涝预报与风险分析》(ISBN 978-7-5509-3469-6),黄河水利出版社,2022,入选2023年度国家科学技术学术著作出版基金资助项目。 [2]副主编,水文水利计算(ISBN 978-7-5226-2051-0),中国水利水电出版社,2023,入选 “十四五”水利类专业重点建设教材、河南省普通高等教育“十四五”规划教材。 [3]参编教材《水资源规划及利用》(ISBN 978-7-5226-0399-5),中国水利水电出版社,2022。 四、发明专利 [1]一种基于特征因子的热带气旋客观分类方法, 国家发明专利,ZL201610599419.2。(已授权) [2]一种城市内涝积水检测装置,实用新型专利,ZL2023 2 0469941.4。(已授权) [3]基于贝叶斯时变模型和期望年损失的沿海城市洪水风险分析方法,国家发明专利,CN202211658393.6。(实审) [4]基于LightGBM和水文水动力模型的滨海城市洪涝快速预测方法,CN202310000088.6。(实审) [5]考虑孕灾环境聚类的城市洪涝深度学习预测方法,CN 202310371902.5。(实审) [6]沿海城市洪涝致灾因子作用度量化及区划方法,国家发明专利,CN201910572055.2。(实审) [7]一种耦合熵权-模糊聚类算法的城市洪涝风险评估方法,国家发明专利,CN201910554191.9。(实审) 五、奖励荣誉 [1]2023年获郑州大学优秀共产党员; [2]2023年获国际学术"Best Researcher Award"奖; [3]2022年获河南省教育厅科技成果一等奖; [4]2022年获郑州大学优秀班主任; [5]2022年获《水资源保护》优秀审稿专家; [6]2021年获郑州大学大学生社会实践活动先进工作者; [7]指导本科生获国家级大学生创新创业训练计划项目; [8]指导本科生获郑州大学优秀本科毕业论文; [9]指导本科生参加美国、亚太地区、数维杯等大学生数学建模比赛,获一等奖、二等奖等; [10]指导本科生多次在中科院二区SCI及中文核心期刊发表学术论文; [11]2020年获武汉黄鹤英才优秀青年人才。 |