导航

  • 个人概况
  • 科学研究
  • 教学信息
  • 社会职务
  • 荣誉及奖励
  • 招生信息
头像

王文

职称： 教授 博士生导师

部门： 水文水资源学院党委、水文水资源学院

学科： 地理学,水利工程

教学部门： 水文水资源学院党委、水文水资源学院

电话： 13951698936

邮件： w.wang@126.com

办公地址： 河海大学水文水资源与水利工程科学国家重点实验室

通讯地址： 江苏省南京市西康路1号

邮编： 210024

个人简介

王文，1994年8月至今，于河海大学从事水文水资源领域教学与科研工作。2009年评为教授，博士生导师。2001由河海大学选拨公派至荷兰代尔夫特理工大学攻读博士学位。2006年回国后在河海大学水文水资源学院工作。2013年～2014年获得江苏省高校优秀中青年教师和校长境外研修计划资助，赴荷兰代尔夫特技术大学访问。曾任水文水资源与水利工程科学国家重点实验室副主任，SCI期刊《Advances in Meteorology》、《Water》、《Hydrologcial Processes》客座编辑，为江苏省“333高层次人才培养工程”中青年科学技术带头人，联合国气候变化专门委员会（IPCC）第六次气候变化评估报告主要作者。主要研究方向包括流域水文过程模拟、水文遥感、以及全球变化，在气候变化与人类活动对流域水文过程影响分析、水文变量的遥感估算方法、水文干旱形成发展机理等方面取得突出成果。发表论文100余篇，其中SCI论文40余篇，个人专著一部，获得省部级科技进步奖及自然科学奖一等奖3项，负责及参加国家自然科学基金项目等基金项目20余项。


个人资料

  • 姓名： 王文
  • 性别： 男
  • 学位： 博士
  • 出生年月： 1967-12-16 00:00:00.0
  • 学历： 博士研究生
  • 毕业院校： 荷兰代尔夫特技术大学

教育经历

  • 1985年9月-1989年6月,南京大学,大地海洋科学系,理学学士
  • 1991年9月-1994年6月,南京大学,大地海洋科学系,理学硕士
  • 1996年11月-1997年2月,美国马萨诸塞州立大学,短期访问
  • 1998年9月-2003年8月,中国科学院（南京地理与湖泊研究所）,自然地理学,博士学位
  • 2001年2月-2006年5月,荷兰代尔夫特技术大学,水利工程,博士学位

工作经历

  • 1994年8月-迄今,河海大学水文水资源学院,教授

研究领域

主要研究方向包括流域水文过程模拟、水文遥感、以及全球变化，在气候变化与人类活动对流域水文过程影响分析、水文变量的遥感估算方法、水文干旱形成发展机理等方面取得突出成果。

科研项目

  • 1、人类活动影响下的水文干旱形成与发展机理,2020年1月-2023年12月,负责,国家自然科学基金面上项目,41971042
  • 2、人类活动与气候变化对干旱时空动态及干旱脆弱性的影响,2019年7月-2022年6月,负责,国家自然科学基金国际(地区)合作与交流项目,41961134003
  • 3、气象干旱的流域水文过程响应机理,2014年1月-2017年12月,负责,国家自然科学基金面上项目,41371050
  • 4、流域水文极值概率分布对气候变化及土地利用/覆盖变化的响应,2008年1月-2010年12月,负责,国家自然科学基金面上项目,40771039
  • 5、流域降雨径流过程模拟中的多源水文数据同化方法,2014年1月-2016 年12月,负责,高等学校博士学科点专项科研基金课题(博导类),20130094110007
  • 6、淮河流域遥感土壤水分数据产品验证及暴雨洪水数据同化系统构建,2019年1月-2023年12月,专题负责,国家自然科学基金重点项目,41830752
  • 7、水资源立体监测协同机理与国家水资源立体监测体系研究,2017年7月-2020年12月,专题负责,国家重点研发计划课题,2017YFC0405801
  • 8、喀斯特关键带三维结构与水文特征,2016年1月-2019年12月,专题负责,国家自然科学基金国际(地区)合作与交流项目,41571130071
  • 9、沿海滩涂大规模围垦及保护关键技术研究,2011年1月-2014年12月,专题负责,国家科技支撑计划项目,2012BAB03B01、2012BAB03B03
  • 10、西南喀斯特流域水文变异性及生态水文过程耦合模拟研究,2010年1月-2013年12月,专题负责,国家自然科学基金重点项目,40930635
  • 11、卫星遥感数据与流域水文模型的同化方法研究,2009年10月-2010年12月,负责,中国博士后科学基金特别资助项目,200902503

论文

  • 1、Assessment of interannual and seasonal glacier mass changes in the Karakoram during 2018~2022 using ICESat-2 data,Journal of Hydrology,2023,Xiaoqian Xu,Wen Wang,Dui Huang,under review
  • 2、Heatwaves Drive Trends in Compound Dry-hot Events in China,Journal of Climate,2023,Yanjun Hu,Wen Wang,Peng Wang,under review
  • 3、基于空间插值逐日降水格点数据的福建省降水时空变化分析,水土保持学报,2023,庞冉,王文,武晶,37(1): 176-187
  • 4、Soil moisture droughts in East Africa: Spatiotemporal patterns and climate drivers,Journal of Hydrology: Regional Studies,2022,Yongwei Liu,Yuanbo Liu,Wen Wang,40: 101013
  • 5、融合多源遥感数据的黑河中游地区生长季早期作物识别,地球信息科学学报,2022,杨泽航,王文,鲍健雄,24(5): 996-1008
  • 6、Estimating Regional Evapotranspiration Using a Satellite-BasedWind Speed Avoiding Priestley–Taylor Approach,Water,2021,Sun, J,Wang,W,Huang, D,13, 3144
  • 7、Impacts of Different Human Activities on Hydrological Drought in the Huaihe River Basin Based on Scenario Comparison,Journal of Hydrology: Regional Studies,2021,Hui Cheng,Wen Wang,Pieter Richard van Oel,37: 100909
  • 8、A global perspective on the probability of propagation of drought: From meteorological to soil moisture,Journal of Hydrology,2021,Ye Zhu,Yi Liu,Wen Wang,603: 126907
  • 9、Propagation from Meteorological to Hydrological Drought and Its Influencing Factors in the Huaihe River Basin,Water,2021,Wang, J,Wang,W,Cheng, H,13 (14), 1985
  • 10、1961—2018 年淮河流域热浪事件时空变化特征,地理科学,2021,王文,胡彦君,41(5):911-921
  • 11、Spatiotemporal variation of actual evapotranspiration and its response to changes of major meteorological factors over China using multi-source data,Journal of Water and Climate Change,2021,Jiahui Yang,Wen Wang,Tiantian Hua,12(2): 325-338
  • 12、Changes of Flow and Sediment Transport in the Lower Min River in Southeastern China under the Impacts of Climate Variability and Human Activities,Water,2021,Wen Wang,Tianyue Wan,Wei Cui,13(5): 673
  • 13、Uncertainty in SPI Calculation and its Impact on Drought Assessment in Different Climatic Regions over China,Journal of Hydrometeorology,2021,Wen Wang,Jingshu Wang,Renata Romanowicz,22(6): 1369–1383
  • 14、Propagation of soil moisture droughts in a hotspot region: Spatial pattern and temporal trajectory,Journal of Hydrology,2021,Yongwei Liu,Yuanbo Liu,Wen Wang,,593(6):125906
  • 15、分项调查与水文模型相结合的九龙江流域天然径流量计算,水文,2021,顾冉浩,王文,41(2): 38-44
  • 16、人类活动对水文干旱形成与发展的影响研究进展,水文,2020,王文,王靖淑,40(3): 1-8
  • 17、多源蒸散发数据融合及其在干旱监测中的应用,人民长江,2020,王文,51（8）： 19-26
  • 18、美国本土地区蓄量时空变化特性及其影响因素研究,人民长江,2020,郭富雄,王文,51（5）： 108-118
  • 19、基于MODIS数据的吐鲁番盆地2001—2017年植被变化及水热组合影响分析,干旱区地理,2020,庞冉,王文,43(5): 1242-1252
  • 20、Three dimensional characterization of meteorological and hydrological droughts and their probabilistic links,Journal of Hydrology,2019,Ye Zhu,Yi Liu,Wen Wang,578: 124016
  • 21、Inter-comparison of satellite-retrieved and Global Land Data Assimilation System-simulated soil moisture datasets for global drought analysis,Remote Sensing of Environment,2019,Yongwei Liu,Yuanbo Liu,Wen Wang,220: 1–18
  • 22、Impacts of Antecedent Soil Moisture on the Rainfall-Runoff Transformation Process Based on High-Resolution Observations in Soil Tank Experiments,Water,2019,Shuang Song,Wen Wang,11, 296
  • 23、Spatial and Temporal Variations of Precipitation Extremes and Seasonality over China from 1961~2013,Water,2018,Yiyuan Tao,Wen Wang,10, 719
  • 24、Evaluation of several remote sensing soil moisture products across China,Proceedings of IEEE IGARS,2018,Jingjing Sun,Wen Wang,5541-5544
  • 25、云贵地区几种潜在蒸散发产品质量评估,人民长江,2018,黄瑾,王文,崔巍,50(12): 73-79
  • 26、云贵高原区干旱遥感监测中各干旱指数的应用对比,农业工程学报,2018,王文,34, 19, 131-139
  • 27、潜在蒸散发量数据对网格HBV模型降雨径流模拟的影响,中国科技论文,2017,崔巍,王文,12(21): 2418-2424
  • 28、雅砻江地区无云积雪覆盖产品的制作,遥感技术与应用,2017,陈彬,王文,32(1): 104-112
  • 29、MODIS MOD16蒸散发产品在中国流域的质量评估,自然资源学报,2017,姜艳阳,王文,周正昊,32(3): 517-528
  • 30、Investigating the impact of surface soil moisture assimilation on state and parameter estimation in SWAT model based on the ensemble Kalman filter in upper Huai River basin,Journal of Hydrology and Hydromechanics,2017,Liu Yongwei,Wang Wen,Hu Yiming, 65(2): 123–133
  • 31、Evaluation of GLDAS-1 and GLDAS-2 forcing data and Noah model simulations over China at monthly scale,Journal of Hydrometeorology,2016,Wang Wen,Cui Wei,Wang Xiaoju,17: 2815-2833
  • 32、Combined use of meteorological drought indices at multi-time scales for improving hydrological drought detection,Science of the Total Environment,2016,Ye Zhu,Wen Wang,571: 1058-1068
  • 33、Improving the Distributed Hydrological Model Performance in Upper Huai River Basin: Using Streamflow Observations to Update the Basin States via the Ensemble Kalman Filter,Advances in Meteorology,2016,Yongwei Liu,Wen Wang,Yiming Hu
  • 34、Propagation of Drought: from Meteorological Drought to Agricultural and Hydrological Drought,Advances in Meteorology,2016,Wang W
  • 35、江苏省赣榆县平原水库与地下水库联合运用,中国农村水利水电,2016,杨云,王文,(1): 26-30
  • 36、长江流域陆地水储量与多源水文数据对比分析,水科学进展,2015,王文,王鹏,26(6): 759-770
  • 37、Runoff changes and their potential links with climate variability and anthropogenic activities: a case study in the upper Huaihe River Basin, China,Hydrology Research,2015,Zhu Ye,Wang Wen,Liu Yi,46 (6): 1019-1036
  • 38、沿海地区非常规水资源开发利用方法与策略,江苏农业科学,2015,王文,杨云,张鹭,43(4) :1-4
  • 39、Combining trapezoidal relationship between land surface temperature and vegetation index with Priestley-Taylor equation to estimate evapotranspiration,Remote Sensing and GIS for Hydrology and Water Resources,2015,Xiaogang Wang,Wen Wang,379-384
  • 40、Drought Severity Change in China during 1961-2012 indicated by SPI and SPEI,Natural Hazards,2015,Wang Wen,75(3): 2437-2451
  • 41、GLDAS月降水数据在中国区的适用性评估,水科学进展,2014,王文,汪小菊,25(6): 779-788
  • 42、GLDAS月气温数据在中国区的适用性评估,水电能源科学,2014,汪小菊,王文,32(11):10-13
  • 43、基于粗糙度定标的IEM 模型的土壤含水率反演,农业工程学报,2014,黄对,王文,30(19): 182-190
  • 44、1961-2012年中国地表干湿状况时空变化特征,中国农村水利水电,2014,徐仁贵,王文,汪小菊,(8): 30-35
  • 45、Drought assessment and uncertainty analysis for Dapoling basin,Natural Hazards,2014,Liu, Yong-Wei,Wang, Wen,74(3): 1613-1627
  • 46、Modifying SEBAL model based on the trapezoidal relationship between land surface temperature and vegetation index for actual evapotranspiration estimation,Remote Sensing,2014,Xiao-Gang Wang,Wen Wang,6, 5909-5937
  • 47、沿海地区常规水资源开发利用方法与策略,水利经济,2014,王文,张鹭,杨云,2(4): 35-38,43
  • 48、基于HJ-1B 数据和SEBAL 模型的陆面蒸散发遥感估算,地理空间信息,2013,张楠楠,王文,王胤,11(5): 69-74
  • 49、Potential evapotranspiration, SPI, SPEI and surface humidity change over China during 1961–2011,Climate and Land Surface Changes in Hydrology,2013,WEN WANG,295-301
  • 50、尾巨桉树干液流特性及其影响因子分析,水土保持通报,2013,王文,朱烨,诸葛绪霞,33(2): 159-164
  • 51、基于植被指数－地表温度特征空间的伊河流域蒸散发量估算,地理与地理信息科学,2013,周峰,王文,王晓刚,29(2): 116-121
  • 52、应用地表温度与植被指数梯形空间关系估算陆面蒸散量,农业工程学报,2013,王文,王晓刚,19(12): 101-109
  • 53、基于集合卡尔曼滤波和HYDRUS-1D模型的土壤剖面含水量同化试验,水利学报,2012,王文,刘永伟,寇小华,43(11): 1302-1311
  • 54、淮河流域过去60年干旱趋势特征与其与极端降水的联系,水利学报,2012,刘可晶,王文,朱烨,43(10)：1179-1187
  • 55、辐射沙脊群匡围工程布局优化研究,水利经济,2012,王文,丁贤荣,王卫平,30(3): 20-23
  • 56、鄱阳湖面积的卫星遥感估计及其与水位关系分析,遥感技术与应用,2012,张楠楠,王文,王胤,27(6): 947-953
  • 57、Evaluation of using the modified water deficit index derived from modis vegetation index and land surface temperature products for monitoring drought,Proceedings of IEEE International Geoscience and Remote Sensing Symposium,2012,Wen Wang,Zhong-Zhong Zhang,Xiao-Gang Wang,5951 – 5954
  • 58、淮河流域极端降水特征及不同重现期降水量估计,河海大学学报（自然科学版）,2012,荣艳淑,王文,王鹏,40(1): 1-8
  • 59、Changes of pan evaporation in the upper reach of the Yangtze River,Journal of Hydrodynamics,2011,Rong Yan-shu,Wang Wen,Jiang Hai-yan,23(4): 503-509
  • 60、Pan evaporation changes and the relationship with meteorological variables in the upper reach of Yangtze River,Hydrological Cycle and Water Resources Sustainability in Changing Environments,2011,Rong, Yanshu,Wang, Wen,Zhou; Jiang,350: 136-142
  • 61、Assimilating surface soil moisture to estimate profile soil water content using EnKF and Hydrus-1D Model,The Hydrological Cycle and Water Resources Sustainability in Changing Environments,2011,Kou Xiaohua,Wang Wen,651-657
  • 62、Reliability of statistical tests for detecting changes in extreme precipitation events,In: The Hydrological Cycle and Water Resources Sustainability in Changing Environments,2011,Liu Kejing,Wang Wen,654-650
  • 63、Estimation of soil moisture using trapezoidal relationship between remotely sensed land surface temperature and vegetation index,Earth Syst,2011,Wang, W,Huang, D,Wang, X.-G,15(5): 1699-1712
  • 64、Impacts of Californian dams on flow regime and maximum/minimum flow probability distribution,Hydrology Research,2011,WANG Wen,Xiao-Gang WANG,Xuan ZHOU,42(4): 275–289
  • 65、植物截留观测方法综述,河海大学学报(自然科学版),2010,王文,诸葛绪霞,周炫,38(5): 495-504
  • 66、水文数据同化方法及遥感数据在水文数据同化中的应用进展,河海大学学报(自然科学版),2009,王文,寇小华,37(5): 556-562
  • 67、Estimating soil moisture using MODIS data: compare NDVI with EVI for the TVDI method,四川大学学报（工程科学版）,2009,刘晏然,王文,荣艳淑,41(专刊2): 53-59
  • 68、1951～2007年的ENSO事件及其特征值,自然灾害学报,2009,许武成,王文,马劲松,18(4): 18-24
  • 69、Modifying the triangle method and MOD16 algorithm for improving evapotranspiration estimation using MODIS data,Proceedings of the 17th International Conference on Geoinformatics,2009,王文,周峰,刘晏然
  • 70、Land cover change detection based on MODIS 250m vegetation index time series data,Proceedings of the 17th International Conference on Geoinformatics,2009,王文,胡海旭,胡娟
  • 71、湿地水量、水质二维生态水力学模型,科学技术与工程,2009,刘可晶,王文,9(5): 1333-1336
  • 72、Comparing different methods for land cover classification based on MODIS 250 m vegetation index data,Proceedings of the IASTED International Conference Artificial Intelligence and Applications (AIA 2009),2009,Wang W,Hu Juan,Hu Hai-Xu,106-111
  • 73、基于纹理特征与数学形态学的高分辨率影像城市道路提取,地理与地理信息科学,2008,胡海旭,王文,24(6): 13-16
  • 74、基于决策树模型的海岸带分类方法研究,地理与地理信息科学,2008,何厚军,王文,刘学工,24(3): 25-28
  • 75、Rajabalinejad, M. Burgmeijer. Data management of extreme marine and coastal hydro-meteorological events,Journal of Hydraulic Research,2008,P.H.A.J.M Van Gelder,Cong V. Mai,Wen Wang,46(2): 191-210
  • 76、Measuring predictability of daily streamflow processes based on univariate time series model,Proceedings of the International Congress on Environmental Modelling and Software,2008,Wang Wen,Pieter H.A.J.M. Van Gelder,J. K. Vrijling,1378-1385
  • 77、Comparing univariate ARMA and ARFIMA model for forecasting daily streamflows,Hydrological Research in China: Process Studies, Modelling Approaches and Applications,2008,Wang Wen,X. Chen,J. Ma,213-219
  • 78、he Effects of Dynamical Noises on the Identification of Chaotic Systems: with Application to Streamflow Processes,IEEE Proceedings of the Fourth International Conference on Natural Computation,2008,Wang Wen,van Gelder P.H.A.J.M.,Vrijling J.K,685-691
  • 79、Detecting changes in extreme precipitation and extreme streamflow in the Dongjiang River Basin in southern China,Hydrol. Earth Syst,2008,Wang Wen,X. Chen,P. Shi,12, 207–221
  • 80、Comparing Bayesian regularization and cross-validated early-stopping for streamflow forecasting with ANN models,In: Methodology in Hydrology, IAHS Publ,2007,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,216-221
  • 81、Theoretical predictability and sample predictability of long-memory time series,In: Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control,2007,Wang W.,Chen X.,Xu W.C.,351-356
  • 82、Detecting long-memory: Monte Carlo simulations and application to daily streamflow processes,Hydrology and Earth System Sciences,2007,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,11, 851-862
  • 83、Modeling streamflow processes with univariate long-memory ARFIMA model,In: Proceedings of International Symposium on Flood Forecasting and Water Resources Assessment for IAHS-PUB,2006,Wang Wen,Chen X.,Huo S.Q.,567-575
  • 84、Environment evolution of Lake Wuliangsuhai since 1980 and the measures of ecological restoration,In Proceedings of the 9th Inter-Regional Conference on Environment-Water, Delft, the Netherlands,2006,Wang W.,Liu X.G.,17-19
  • 85、Forecasting Daily Streamflow Using Hybrid ANN Models,Journal of Hydrology,2006,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,324, 383-399
  • 86、Testing for nonlinearity of streamflow processes at different timescales,Journal of Hydrology,2006,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,322, 247-268
  • 87、Detection of changes in streamflow series in western Europe over 1901–2000,Water Science & Technology: Water Supply,2005,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,5(6): 289-299
  • 88、Improve daily streamflow forecasts by combining ARMA and ANN Models,In: Proceedings of the Innovation, Advances and Implementation of Flood Forecasting technology conference,2005,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,17-19
  • 89、Some Issues About the Generalization of Neural Networks for Time Series Prediction,In: Artificial Neural Networks: Formal Models And Their Applications, W. Duch, J. Kacprzyk, E. Oja and S. Zadrozny, (Eds.), Lecture Notes in Computer Science,2005,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,559-564
  • 90、Constructing prediction interval for monthly streamflow forecasts,Proceedings of the International Symposium on Stochastic Hydraulics, Nijmegen, the Netherlands,2005,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,25-27
  • 91、Trend and stationarity analysis for streamflow processes of rivers in the western Europe,Proceedings of the the International Conference on Water Economics, Statistics and Finance, vol. 1, Rethymno-Crete,2005,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.
  • 92、Long-memory properties of streamflow processes of the Yellow River,Proceedings of the International Conference on Water Economics,2005,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,481-490
  • 93、Testing and modelling autoregressive conditional heteroskedasticity of streamflow processes,Nonlinear Processes in Geophysics,2005,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,12, 55-66
  • 94、Applying periodic ANN model to daily streamflow forecasting,In: Proceedings of the 6th International Conference on Recent Advances in Soft Computing, Nottingham Trent University,2004,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,624-629
  • 95、Predictability of streamflow processes of the Yellow River,In: Proceedings of the 6th International Conference on Hydroinformatics,2004,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,1261-1268
  • 96、Periodic autoregressive models applied to daily streamflow,In: Proceedings of the 6th International Conference on Hydroinformatics,2004,Wang W.,van Gelder P.H.A.J.M.,Vrijling J.K.,1334-1341
  • 97、对水文时间序列混沌特征参数估计问题的讨论,水科学进展,2005,王文,许武成,16(4): 609-616
  • 98、若干水文预报方法综述,水利水电科技进展,2005,王文,马骏,25(1): 56-60
  • 99、混沌时间序列可预报时间长度分析,河海大学学报（自然科学版）,2004,王文,许武成,32(4): 367-371
  • 100、Stochastic properties and preliminary forecasting of daily flow of the Yellow River at Tangnaihai and Tongguan,In: Proceedings of the Second International Symposium On Flood Defence,2002,Wang W.,Ma J.,van Gelder P.H.A.J.M.,922 – 929
  • 101、从史料记载看中国历史时期海面波动,地球科学进展,2001,王文,谢志仁,16(2): 272-278
  • 102、GIS开发中的应用模型重用方法探讨,微型电脑应用,1999,王文,15(8): 34-36转10.
  • 103、中国历史时期海面变化(Ⅱ)——潮灾强弱与海面波动,河海大学学报（自然科学版）,1999,王文,谢志仁,27(5) : 43-47
  • 104、中国历史时期海面变化(Ⅰ)——塘工兴废与海面波动,河海大学学报（自然科学版）,1999,王文,谢志仁,27(4): 7-11
  • 105、Delphi与MapInfo集成开发应用GIS系统,微型电脑应用,1998,王文,龚静怡,14(5), 66-68
  • 106、GIS技术在水深遥感中的应用,河海大学学报,王文,张东,张鹰,26(6), 82-85
  • 107、应用桌面GIS开发方法探讨,遥感信息,1998,王文,李红,韩圣君,(3), 15-16

科技成果

开授课程

  • 1、自然地理学,本科生,82,40
  • 2、地质及自然地理学实习,本科生,155,8

教学成果

教学资源

社会职务

荣誉及奖励

  • 1、江苏省水利科技成果,2002年,一等奖
  • 2、江苏省科技进步奖,2009年,一等奖
  • 3、教育部科技进步奖,2009年,一等奖
  • 4、教育部自然科学奖,2014年,一等奖
  • 5、福建省水利科学技术奖,2020,一等奖

招生信息

欢迎水文学及水资源、自然地理等相关专业的学生报考硕士/博士研究生。