魏加华

研究员

Email: weijiahua@tsinghua.edu.cn

电话:010-62796325

传真:010-62772463

通信地址:清华大学水利水电工程系河流所(泥沙馆)

邮编:100084


教育背景

1995.9-2001.7  中国地质大学(北京),工学博士

1995.9-1998.7  中国地质大学(北京),工学硕士

        1991.9-1995.7  湖南科技大学,工学学士

 

工作履历

2016-至今   三江源生态与高原农牧业国家重点实验室,水文水资源方向首席科学家(兼)

2014-至今    青海大学水利电力学院,常务副院长(挂职,对口支援)

2013-2018   青海大学-清华大学三江源研究院,三江学者

2012-2017    清华大学水沙科学与水利水电工程国家重点实验室 研究员

2007.12-2009.1   美国Cornell University土木与环境学院,访问学者,副教授

2004-至今,清华大学水利水电工程系,助研,高级工程师,副研究员,研究员

2001-2003,清华大学水利水电工程系 水利工程博士后流动站,博士后


研究领域

流域水资源管理、调控与优化调度;

水联网与智慧水利;

-地水资源监测、调控与开发利用;

地表水-地下水耦合模拟与调控。




科研项目

主持和参与国家重点研发计划、国家科技支撑计划、国家自然科学基金和重大工程咨询等项目和课题50余项,部分科研项目:

“十三五”国家重点研发计划项目,河源区及干旱区降雨径流挖潜与高效利用技术(2017-2020

国家自然科学基金重大研究计划项目,西南河流源区空-地水资源联合调控理论与技术研究(2019-2023

青海省科技厅,多源水利生态大数据技术在河湖监测数据管理中的应用研究(2019-2021

南水北调东线总公司,南水北调东线一期工程自动化调度与信息化管理系统总体研究(2018)

深圳市水务局,深圳水战略20352017-2020

国家自然科学基金,基于大数据的三江源水情预报(2014-2016

水利公益性行业科研专项经费项目,三江源地区水文-生态系统演变研究(2015-2017

国网青海公司,黄河上游水情预报和流域发电量预测研究及应用(2015-2016

青海省水利厅,青海省水生态文明先行区建设实施方案编制(2014-2016

“十二五”国家科技支撑计划专题,雅砻江流域数字化平台建设及示范应用(2011BAZ03221B05)2013-2015

“十二五”国家科技支撑计划专题,水联网多水源实时调度与过程控制技术(2011BAZ03221B03)2013-2015

水利部公益性行业科研专项经费项目,水利水电专业软件平台开发(2012-2013

“十一五”国家科技支撑计划课题,水电经济运行及市场化运营效益关键技术研究(2009-2012


学术兼职

中国水利学会第七届水文专业委员会,委员

中国水利学会水利信息化专业委员会,委员

中国通信学会物联网委员会智慧生态专业技术组,委员

青海大学学术委员会委员,委员

青海省地理信息产业协会,委员

南水北调与水水利科技,编委



奖励与荣誉

2007年,第十届中国青年科技奖

2019年,“大数据驱动多过程耦合的流域水情预报关键技术及应用”,青海省科学技术进步一等奖,排名1

2019年,“旱区水权理论、动态定量关键技术与实践”,高等学校科学研究优秀成果奖(科学技术)二等奖,排名4

2018年,“疏勒河中游绿洲水-经济-生态系统耦合调控技术”,甘肃省科学技术进步二等奖,排名8

2014年,“塔里木河流域近期综合治理工程中生态用水调控与管理关键技术研究”,中国地理信息科技进步一等奖,排名3

2014年,“不同尺度水沙动力学机制及过程模拟”,高等学校科学研究优秀成果奖(科学技术)二等奖,排名4

2013年,“巨型水库群洪水资源调控与优化运行关键技术及应用”,教育部科技进步二等奖,排名4

2008年,“地下水调控与管理模型及在北京市应急水源工程中的应用”,国土资源科学技术奖二等奖,排名6

2007年,“南水北调中线工程电子渠道平台及应用”,教育部科技进步一等奖,排名5

2006年,“流域水量调控模型及在黄河水量调度中的应用”,国家科技进步二等奖,排名2

2004年,“游荡型河流的演变规律、模拟技术及工程应用”,教育部科技进步一等奖,排名15

 


 


学术成果

Shi, Y., Wei, J. H, Bai, W. W., Wang, G. Q. Numerical investigations of acoustic agglomeration of liquid droplet using a coupled CFD-DEM model. Advanced Powder Technology. https://doi.org/10.1016/j.apt.2020.04.003

Wei, J. H, Qiu, J., Li, T. J., Huang, Y. F., Qiao, Z., Cao, J. W., Zhong, D. Y., Wang, G. Q. Cloud and precipitation interference by strong low-frequency sound wave. SCIENCE CHINA Technological Sciences. (2020). https://doi.org/10.1007/s11431-019-1564-9

Li, F. F., Wei, J. H. Qiu, J., and Jiang, H. Determining the most effective flow rising process to stimulate fish spawning via reservoir operation. Journal of Hydrology. 582:124490. 2020, DOI: 10.1016/j.jhydrol.2019.124490

Chu, H. B., Wu, W. Y., Wang, Q. J., Nathan Rory, and Wei, J. H. An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions. Environmental Modelling and Software (2020), doi: https://doi.org/10.1016/j.envsoft.2019.104587.

Shi Y., Wei J. H., Qiu, J., Chu, H. B., Bai, W.W., Wang, G. Q. Numerical study of acoustic agglomeration process of droplet aerosol using a three-dimensional CFD-DEM coupled model. Powder Technology 362 (2020) 37–53. https://doi.org/10.1016/j.powtec.2019.12.017

Chu, H. B., Wei, J. H., Wu, W. Y. Streamflow Prediction Using LASSO-FCM-DBN Approach Based on Hydro-Meteorological Condition Classification. Journal of Hydrology, 2020, Article 124253. https://doi.org/10.1016/j.jhydrol.2019.124253

Zhang, B. Q., Xia, Y., Huning, L. S., Wei, J. H, Wang, G. Q., and AghaKouchak, A. (2019). A framework for global multicategory and multiscalar drought characterization accounting for snow processes. Water Resources Research, 55. https://doi.org/10.1029/2019WR025529

Ayantobo, O O, Wei, J. H.. Appraising regional multi-category and multi-scalar drought monitoring using Standardized Moisture Anomaly Index (SZI): A water-energy balance approach. Journal of Hydrology. 579 (2019) 124139. https://doi.org/10.1016/j.jhydrol.2019.124139

Chu, H. B., Wei, J. H., Qiu, J., Li, Q., Wang, G. Q. Identification of the impact of climate change and human activities on rainfall-runoff relationship variation in the Three-River Headwaters region. Ecological Indicators. 106 (2019) 105516. https://doi.org/10.1016/j.ecolind.2019.105516

Si, Y, Li, X, Yin, D. Q, Li, T. J, Cai, X, Wei, J. H, Wang, G. Q. Revealing the Water-Energy-Food Nexus in the Upper Yellow River Basin through Multi-Objective Optimization for Reservoir System. Journal: Science of the Total Environment, 2019. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2019.04.427.

Qiu, J, Wei, J. H, Jiang, H, Li, F. F. Ecohydrological evaluation for Fish spawning based on fluctuation identification algorithm (FIA). Ecological Modelling, Volume 402, 24 June 2019, Pages 35-44. https://doi.org/10.1016/j.ecolmodel.2019.04.011

Huang, L, Li, X, Fang, H. W, Yin, D. Q, Si, Y, Wei, J. H, Liu, J. H, Hu, X. Y, Zhang, L. Balancing social, economic and ecological benefits of reservoir operation during the flood season: A case study of the Three Gorges Project, China. Journal of Hydrology, Volume 572, 2019, https://doi.org/10.1016/j.jhydrol.2019.03.009.

Zhang, B. Q, AghaKouchak A, Wei, J. H, Wang, G. Q.. A water-energy balance approach for multi-category drought assessment across globally diverse hydrological basins. Agricultural and Forest Meteorology, 264 (2019) 247–265. https://doi.org/10.1016/j.agrformet.2018.10.010

Wang, G. Q, Zhong, D. Y, Li, T. J, Zhang Y, Meng C. Q, Song X. L, Wei J. H, Huang, Y. F. Study on sky rivers: Concept, theory, and implications. Journal of Hydro-environment Research. Journal of Hydro-environment Research 21 (2018) 109–117. https://doi.org/10.1016/j.jher.2018.09.003

Chu H. B, Wei J. H, Li J. Y, Li, T. J, Investigation of the relationship between runoff and atmospheric oscillations, sea surface temperature, and local-scale climate variables in the Yellow River headwaters region. Hydrological Processes. 2018; 32:1434-1448. https://doi.org/10.1002/hyp.11502

Liu R. H, Wei J. H., Ren Y, Liu Q, Wang G. Q, Shao S. D, and Tang S.(2017). HydroMP - A Computing Platform for Hydrodynamic Simulation based on Cloud Computing. Journal of Hydroinformatics. jh2017140; DOI: 10.2166/hydro.2017.140

Shi, H.Y., Li, T.J., Wei, J.H. (2017). Evaluation of the gridded CRU TS precipitation dataset with the point raingauge records over the Three-River Headwaters Region. Journal of Hydrology. 548:322-332. DOI: 10.1016/j.jhydrol.2017.03.017

Liu M, Wei J. H, Wang G. Q, Wang F. Water Resources Stress Assessment and Risk Early Warning-A Case of Hebei Province China, Ecological Indicators, 73 (2017) 358–368. http://dx.doi.org/10.1016/j.ecolind.2016.09.052

Chu, H. B, Wei J. H., Wang R, Xin B. D (2017). Characterizing the interaction of groundwater and surface water in the karst aquifer of Fangshan, Beijing (China). Hydrogeol J (2017) 25:575–588.  DOI 10.1007/s10040-016-1507-7

Li, F. F, Shoemaker CA, Qiu J, Wei J. H. Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the Three Gorges system, Environmental Modelling & Software 69 (2015): 319-329. http://dx.doi.org/10.1016/j.envsoft.2014.11.030

Li, X, Wei, J. H, Li, T. J, Wang, G. W, Yeh, W.W., A parallel dynamic programming algorithm for multi-reservoir system optimization, Advances in Water Resources 67 (2014) 1–15 . doi: http://dx.doi.org/10.1016/j.advwatres.2014.01.002

Li X, Li, T. J, Wei, J. H, Wang, G. Q, and William W.-G. Yeh, Hydro Unit Commitment via Mixed Integer Linear Programming: A Case Study of the Three Gorges Project, China. IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29(3): 1232-1241.

Li, X., Wei, J. H, Fu, X., Li, T., and Wang, G. (2014). Knowledge-Based Approach for Reservoir System Optimization. J. Water Resour. Plann. Manage., 140(6), 04014001.  http://dx.doi.org/10.1061/(ASCE)WR.1943-5452.0000379