许红师

文章作者: 访问次数: 发布时间:2021-03-31

姓名

许红师

性别

出生年月

199212

                                                                                 

职称

副教授

民族

安徽阜阳

电子邮箱

xhstju@163.com/13920618075

最终学位

工学博士

学术头衔/兼职

中国大坝工程学会流域水循环与调度专业委员会委员;

中国水利学会城市水利专业委员会青年委员;华北水利水电大学学报(自然科学版)》青年编辑委员会委员;AtmosphereWater期刊客座编辑;Water   ResearchJournal   of HydrologyJournal   of Environmental Management Science of the Total   Environment、水资源保护、水利水电技术等期刊审稿人。

招生专业

水文学及水资源、水利工程、土木水利

研究方向

洪涝智能预报、评估与调控;智慧水务与海绵城市;干旱区水资源模拟与调控

主要学习科研和工作经历

2023.03-至今,郑州大学,副教授

2020.11-2023.03,郑州大学,讲师

2019.02-2020.10,长江设计集团研发中心

2013.09-2019.01,天津大学,水利工程,博士

2009.09-2013.07,天津大学,水利水电工程,学士

代表性

科研成果

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TOPESI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,   .   台风灾害多元致灾因子联合分布研究.   地理科学,20183812):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。

 

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