河海大学水文水资源与水利工程科学国家重点实验室

13951698936

w.wang@126.com

学习、工作经历、主要研究方向、业绩成果（教学、科研和管理）、荣誉称号等

学习经历:

 1989年毕业于南京大学大地海洋科学系，获理学学士学位；

 1994年毕业于南京大学大地海洋科学系，获理学硕士学位，学位论文题目: 历史时期海面变化初探；

 1996年11月～1997年2月至美国马萨诸塞州立大学短期访问 ；

 2003年8月获中国科学院（南京地理与湖泊研究所）博士学位，学位论文题目: 黄河流量过程的时间序列分析与建模；

 2006年5月获得荷兰代尔夫特技术大学博士学位，学位论文题目: Stochasticity, nonlinearity and forecasting of streamflow processes；

 2013年6～2014年8月，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。

工作经历:

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。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》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，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，主要包括：

1)  国家自然科学基金国际(地区)合作与交流项目，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，41961134003，2019.7- 2022.6，负责

2)国家自然科学基金面上项目“人类活动影响下的水文干旱形成与发展机理”，41971042，61万，2020.1-2023.12，负责

3)国家自然科学基金面上项目“气象干旱的流域水文过程响应机理”（41371050）, 2014.1 ~2017.12，负责

4)国家自然科学基金面上项目“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”（40771039），2008.1-2010.12，负责

5)高等学校博士学科点专项科研基金课题(博导类)“流域降雨径流过程模拟中的多源水文数据同化方法, (20130094110007) , 2014.1 ~2016.12，负责

6)国家自然科学基金重点项目“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”，41830752) 2019.01-2023.12，专题负责

7)国家重点研发计划课题“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（2017YFC0405801），2017.7~2020.12，专题负责

8)国家自然科学基金国际(地区)合作与交流项目“喀斯特关键带三维结构与水文特征”（41571130071），2016.1~2019.12，专题负责

9)国家科技支撑计划项目“沿海滩涂大规模围垦及保护关键技术研究”（2012BAB03B01，2012BAB03B03）, 2011.1~2014.12, 专题负责

10)国家自然科学基金重点项目(40930635) “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”, 2010.1-20013.12，专题负责

11)中国博士后科学基金特别资助项目“卫星遥感数据与流域水文模型的同化方法研究”（200902503），2009.10-2010.12，负责

个人专著:

Stochasticity, nonlinearity and forecasting of streamflow processes. 由荷兰Amsterdam出版公司IOS Press出版, 2006.

主要论文：

[1] 王文，谢志仁，从史料记载看中国历史时期海面波动，地球科学进展, 2001, 16(2), 272-278.

[2] 王文,许武成，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, 32(4), 367-371.

[3] 王文，马骏，若干水文预报方法综述，水利水电科技进展，2005, 25(1), 56-60.

[4] 王文，许武成，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, 16(4), 609-616.

[5]  Wang W., van Gelder P.H.A.J.M., Vrijling J.K., Ma J., Testing and modelling autoregressive conditional heteroskedasticity of streamflow processes. Nonlinear Processes in Geophysics, 2005, 12, 55-66.

[6]   Wang W., van Gelder P.H.A.J.M., Vrijling J.K., 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, vol.3697, pp. 559-564.

[7]   Wang W., van Gelder P.H.A.J.M., Vrijling J.K., Detection of changes in streamflow series in western Europe over 1901–2000, Water Science & Technology: Water Supply, 2005, 5(6), 289-299.

[8]   Wang W., van Gelder P.H.A.J.M., Vrijling J.K., Ma J., Testing for nonlinearity of streamflow processes at different timescales. Journal of Hydrology, 2006, 322, 247-268.

[9]   Wang W., van Gelder P.H.A.J.M., Vrijling J.K., Ma J., Forecasting Daily Streamflow Using Hybrid ANN Models. Journal of Hydrology, 2006, 324, 383-399.

[10]  Wang W., van Gelder P.H.A.J.M., Vrijling J.K., Chen X., Detecting long-memory: Monte Carlo simulations and application to daily streamflow processes. Hydrology and Earth System Sciences, 2007, 11, 851-862.

[11]  Wang W., Chen X., Xu W.C., Theoretical predictability and sample predictability of long-memory time series. In: Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control, February 12 – 14, 2007, Innsbruck, Austria, Editor: L. Bruzzone. ACTA Press, p.351-356

[12]  Wang W., van Gelder P.H.A.J.M., Vrijling J.K., Ma J., Comparing Bayesian regularization and cross-validated early-stopping for streamflow forecasting with ANN models. In: Methodology in Hydrology, IAHS Publ. 311, 2007，216-221.

[13]  Wang Wen, X. Chen, P. Shi, P.H.A.J.M. van Gelder. Detecting changes in extreme precipitation and extreme streamflow in the DongjiangRiver Basin in southern China. Hydrol. Earth Syst. Sci., 2008, 12, 207–221.

[14]  Wang Wen, van Gelder P.H.A.J.M., Vrijling J.K. The 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, pp.685-691

[15]  Wang Wen, X. Chen, J. Ma, S.Q. Huo. Comparing univariate ARMA and ARFIMA model for forecasting daily streamflows. In: Hydrological Research in China: Process Studies, Modelling Approaches and Applications. IAHS Publ. 322, 2008, pp.213-219

[16]  Wang Wen, Pieter H.A.J.M. Van Gelder, and J. K. Vrijling, Measuring predictability of daily streamflow processes based on univariate time series model. Proceedings of the International Congress on Environmental Modelling and Software 2008, pp.1378-1385

[17]  P.H.A.J.M Van Gelder, Cong V. Mai, Wen Wang, G. Shams, M. Rajabalinejad, M. Burgmeijer. Data management of extreme marine and coastal hydro-meteorological events, Journal of Hydraulic Research, 2008, 46(2): 191-210.

[18] 王文,寇小华. 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, 37(5): 556-562

[19] 王文，诸葛绪霞，周炫. 植物截留观测方法综述. 河海大学学报(自然科学版)，2010, 38(5): 495-504

[20]  WANG Wen, Xiao-Gang WANG, Xuan ZHOU. Impacts of Californian dams on flow regime and maximum/minimum flow probability distribution. Hydrology Research, 2011, 42(4): 275–289.

[21]  Wang, W., Huang, D., Wang, X.-G., Liu, Y.-R., and Zhou, F.: Estimation of soil moisture using trapezoidal relationship between remotely sensed land surface temperature and vegetation index, Hydrol. Earth Syst. Sci., 2011, 15(5), 1699-1712.

[22]  Rong Yan-shu; Wang Wen; Jiang Hai-yan. Changes of pan evaporation in the upper reach of the Yangtze River. Journal of Hydrodynamics, 2011, 23(4): 503-509.

[23]  Wen Wang, Zhong-Zhong Zhang, Xiao-Gang Wang, Hui-Min Wang. 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,  22-27 July 2012, Munich, pp. 5951 – 5954

[24]  王文，丁贤荣，王卫平，葛小平. 辐射沙脊群匡围工程布局优化研究. 水利经济, 2012, 30(3): 20-23

[25] 王文，刘永伟，寇小华，吕海深. 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, 43(11): 1302-1311

[26] 王文,王晓刚,黄对,雍斌. 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, 19(12): 101-109

[27] 王文，朱烨，诸葛绪霞，罗智锋. 尾巨桉树干液流特性及其影响因子分析. 水土保持通报, 2013, 33(2): 159-164

[28]  WEN WANG, RENGUI XU & XI CHEN. Potential evapotranspiration, SPI, SPEI and surface humidity change over China during 1961–2011. In: Climate and Land Surface Changes in Hydrology. IAHS Publ. 359, 2013, 295-301

[29]  王文，张鹭，杨云. 沿海地区常规水资源开发利用方法与策略. 水利经济, 2014, 32(4): 35-38,43

[30]  Xiao-Gang Wang, Wen Wang, Dui Huang, Bin Yong, Xi Chen. Modifying SEBAL model based on the trapezoidal relationship between land surface temperature and vegetation index for actual evapotranspiration estimation. Remote Sensing, 2014, 6, 5909-5937; doi:10.3390/rs6075909

[31]  Liu, Yong-Wei; Wang, Wen; Hu, Yi-Ming; Liang, Zhong-Min. Drought assessment and uncertainty analysis for Dapoling basin. Natural Hazards, 2014, 74(3): 1613-1627

[32]  王文，汪小菊，王鹏. GLDAS月降水数据在中国区的适用性评估. 水科学进展, 2014，25(6): 779-788

[33]  Wang Wen, Zhu Y., Xu R.G., Liu J.T. Drought Severity Change in China during 1961-2012 indicated by SPI and SPEI. Natural Hazards, 2015, 75(3): 2437-2451.

[34]  王文，杨云，张鹭. 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, 2015,43(4) :1-4

[35]  Zhu Ye, Wang Wen, Liu Yi, Wang Hongjie. 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, 46 (6): 1019-1036. SCI)

[36]  王文, 王鹏, 崔巍. 长江流域陆地水储量与多源水文数据对比分析. 2015. 水科学进展, 2015, 26(6): 759-770

[37]  Wang W., Ertsen M.W., Svoboda M.D., Hafeez M. Propagation of Drought: from Meteorological Drought to Agricultural and Hydrological Drought. Advances in Meteorology, 2016，Volume 2016, Article ID 6547209.

[38]  Yongwei Liu, Wen Wang, Yiming Hu, and Wei Cui. 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 (2016), Article ID 4921616.

[39]  Ye Zhu, Wen Wang, Vijay P. Singh, Yi Liu. Combined use of meteorological drought indices at multi-time scales for improving hydrological drought detection. Science of the Total Environment, 2016, 571: 1058-1068

[40]  Wang Wen, Cui Wei, Wang Xiaoju, Chen Xi. Evaluation of GLDAS-1 and GLDAS-2 forcing data and Noah model simulations over China at monthly scale. Journal of Hydrometeorology, 2016, 17: 2815-2833

[41]  Liu Yongwei, Wang Wen, Hu Yiming. 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, 65(2): 123–133. DOI: 10.1515/johh-2017-0011

[42]  Yongwei Liu , Wen Wang , and Yuanbo Liu. ESA CCI Soil Moisture Assimilation in SWAT for Improved Hydrological Simulation in Upper Huai River Basin. Advances in Meteorology, 2018, vol.2018, Article ID 7301314, https://doi.org/10.1155/2018/7301314

[43]  王文，黄瑾，崔巍. 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, 34, 19, 131-139

[44]  Yiyuan Tao, Wen Wang, Shuang Song and Jun Ma. Spatial and Temporal Variations of Precipitation Extremes and Seasonality over China from 1961~2013. Water 2018, 10, 719; doi:10.3390/w10060719

[45]  Shuang Song, Wen Wang. Impacts of Antecedent Soil Moisture on the Rainfall-Runoff Transformation Process Based on High-Resolution Observations in Soil Tank Experiments. Water 2019, 11, 296; doi:10.3390/w11020296

[46]  Yongwei Liu, Yuanbo Liu,, Wen Wang. Inter-comparison of satellite-retrieved and Global Land Data Assimilation System-simulated soil moisture datasets for global drought analysis. Remote Sensing of Environment, 2019, 220: 1–18.

[47]  Ye Zhu, Yi Liu, Wen Wang, Vijay P. Singh, Xieyao Ma, Zhiguo Yu, Three dimensional characterization of meteorological and hydrological droughts and their probabilistic links. Journal of Hydrology, 2019, 578: 124016, https://doi.org/10.1016/j.jhydrol.2019.124016.

[48]  Song, S., Brocca, L., Wang, W., Cui, W. Testing the potential of soil moisture observations to estimate rainfall in a soil tank experiment. Journal of Hydrology, 2020, 581: 124368.

[49]  Xiao-Gang Wang, Qing Kang, Xiao-Hong Chen , Wen Wang , and Qing-Hua Fu. Wind Speed-Independent Two-Source Energy Balance Model Based on a Theoretical Trapezoidal Relationship between Land Surface Temperature and Fractional Vegetation Cover for Evapotranspiration Estimation.  Advances in Meteorology, 2020, vol.2020, Article ID 6364531

[50]  王文，杨佳汇，花甜甜，彭珉. 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， 51（8）：19-26.

[51]  王文, 王靖淑, 陶奕源, 程慧. 人类活动对水文干旱形成与发展的影响研究进展. 水文, 2020, 40(3): 1-8.

[52]  Yongwei Liu, Liu Yuanbo Liu, Wen Wang, Han Zhou. Propagation of soil moisture droughts in a hotspot region: Spatial pattern and temporal trajectory. Journal of Hydrology, 2020, 593(6):125906, DOI: 10.1016/j.jhydrol.2020.125906.

[53]  Wen Wang, Jingshu Wang, Renata Romanowicz. Uncertainty in SPI Calculation and its Impact on Drought Assessment in Different Climatic Regions over China. Journal of Hydrometeorology, 2021, 22(6): 1369–1383.

[54]  Wen Wang, Tianyue Wang; Wei Cui, et al. 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, 13(5): 673.

[55]  Jiahui Yang, Wen Wang, Tiantian Hua, Min Peng. 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, 12(2): 325-338.

[56]  王文, 胡彦君, 徐川怡. 1961—2018 年淮河流域热浪事件时空变化特征[J]. 地理科学, 2021,41(5):911-921.

[57]  Wang, J.;Wang,W.; Cheng, H.; Wang, H.; Zhu, Y. Propagation from Meteorological to Hydrological Drought and Its Influencing Factors in the Huaihe River Basin. Water 2021, 13 (14), 1985, https://doi.org/10.3390/w13141985.

[58]Ye Zhu, Yi Liu, Wen Wang, Vijay P. Singh, Liliang Ren. A global perspective on the probability of propagation of drought: From meteorological to soil moisture. Journal of Hydrology,2021,603:126907, https://doi.org/10.1016/j.jhydrol.2021.126907

[59]  Hui Cheng, Wen Wang, Pieter Richard van Oel, Jingxuan Lu, Gang Wang, Hongjie Wang. Impacts of Different Human Activities on Hydrological Drought in the Huaihe River Basin Based on Scenario Comparison. Journal of Hydrology: Regional Studies, 2021, 37: 100909,https://doi.org/10.1016/j.ejrh.2021.100909 

[60]  Jingjing Sun, Wen Wang, Xiaogang Wang and Dui Huang. Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach. Water, 2021, 13(21), 3144; https://doi.org/10.3390/w13213144

[61] 王文 傅文睿. IPCC AR6报告解读：“产生影响的气候因子”评估框架. 气候变化研究进展, 2021, doi: 10.12006/j.issn.1673-1719.2021.190.

获奖：

1)“长江镇扬河段地理信息系统”，江苏省水利科技成果一等奖，2002年

2)“流域水文物理过程及数字模拟”，江苏省科技进步奖一等奖，2009年

3)“基于多主体合作和供应链的水资源现代调配理论、关键技术与应用”，教育部科技进步奖一等奖，2009年

4)“流域水文过程变化的驱动机制与响应机理”，教育部自然科学一等奖，2014年

5)“基于Delft3D模型的闽江下游水文预报研究”，福建省水利科学技术奖一等奖，2020年