Basic Information


Yiping (Rocky) Wu

PhD, Professor

Institute of Global Environmental Change

Department of Earth & Environmental Science

School of Human Settlements & Civil Engineering

Xi’an Jiaotong University


School of Human Settlements & Civil Engineering

Xi'an Jiaotong University

99 Yanxiang Road, West One Building, JiaoDaQujiang Campus

Xi'an, Shaanxi Province, 710049, China



Research Interest

Environmental Change and Eco-hydrology

Watershed hydrology, Nonpoint source pollution, Climate change, Land-use change, Ecosystem Water-Carbon-Nitrogen cycle and coupling, Soil moisture, Soil organic carbon, Agricultural management, Greenhouse gas emissions, Data assimiliation, Model development and integration


  • Ph.D. 2009  in Water & Environmental Engineering, The University of Hong Kong, HKSAR
  • M.E.  2004  in Environmental Engineering, Xi’an University of Arch. & Tech., Xi’an, China
  • B.E.  2001  in Environmental Engineering, Xi’an University of Arch. & Tech., Xi’an, China
Academic Positions/Honors

  • National Youth Talent Program of China
  • 'Hundred Talent Program' of Shaanxi Province
  • Member of Higher Education Teaching Committee of Ministry of Education
  • 'Young Talent Support Plan' of Xi'an Jiaotong University
  • Oversea Endowed Professor, National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China
  • Subject Matter Expert, Global Bioenergy Partnership (GBEP)’s Bioenergy and Water field
  • Secretary of Hydrological Section of AOGS
  • Member of Ecohydrology Team of China's Ecology Society
  • Associate Editor / Editorial Board Member for international journals (Sci Rep, SERRA, Geoscience Letters, CBM)
  • AOGS Early Career Researcher Distinguished Lecture
Projects participated

NSF of China and Hong Kong Research Grants Council (RGC) Joint Research Scheme

Integrated physical and ecological management of rivers - with particular reference to the East River

Hong Kong Research Grants Council (RGC)

Assuring Hong Kong's water supply: learning the lessons of the 1963 drought

Dominant hydrologic processes for floods and droughts over the Pearl River Basin at different temporal and spatial scales

NASA Bioenergy

Integrated modeling of future agricultural change in the Northern Great Plains: biophysical potential, sustainability, and environmental consequences

U.S. Department of Interior Land Carbon

Assessment of biological carbon sequestration potential and reduction of greenhouse gas emissions in the United States

USGS Carbon Trends

Performing data assimilation procedures to investigate carbon cycling processes, modeling, and uncertainty

Selected journal publications

1.       Zhao F, Wu Y*, Qiu L, Sivakumar B, Zhang F, Sun Y, Sun L and Li Q, 2018. Spatiotemporal features of the hydro-biogeochemical cycles in a typical loess gully watershed. Ecological Indicators, 91: 542–554.

2.       Qiu L, Wu Y*, Wang L, Hui Y, Lei X, Liao W, Meng X, 2017. Spatiotemporal response of the water cycle to land use conversions in a typical hilly-gully basin on the Loess Plateau, China. Hydrology and Earth System Sciences, 21(12): 6485–6499.

3.       Meng X, Wang H*, Wu Y*, Long A*, Wang J, Shi C, Ji X, 2017. Investigating spatiotemporal changes of the land-surface processes in Xinjiang using high-resolution CLM3.5 and CLDAS: Soil temperature. Scientific Reports, 7, 13286.

4.       Li Z, Liu S, Tan Z, Sohl TL, Wu Y, 2017. Simulating the effects of management practices on cropland soil organic carbon changes in the Temperate Prairies Ecoregion of the United States from 1980 to 2012. Ecological Modelling, 364: 68–79.

5.       Zhang F*, Wang Z, Glidden S, Wu Y*, Tang L, Liu Q, et al., 2017. Changes in the soil organic carbon balance on China's cropland during the last two decades of the 20th century. Scientific Reports, 7, 7144.

6.       Li P, Mu X, Holden J, Wu Y, Irvine B, Wang F, et al., 2017. Comparison of soil erosion models used to study the Chinese Loess Plateau. Earth-Science Reviews, 170: 17–30.

7.       Qiu L, Hao M, Wu Y*, 2017. Potential impacts of climate change on carbon dynamics in a rain-fed agro-ecosystem on the Loess Platau of China. Science of the Total Environment, 577: 267–278.

8.       Wu Y*, Liu S, Qiu L, and Sun Y, 2016. SWAT-DayCent coupler: An integration tool for simultaneous hydro-biogeochemical modeling using SWAT and DayCent. Environmental Modelling & Software, 86: 8190.

9.       Tan Z*, Liu S*, Sohl T, Wu Y, and Young C, 2015. Ecosystem carbon stocks and sequestration potential of federal lands across the conterminous United States. Proceedings of the National Academy of Sciences of the United States of America, 112(41): 1272312728.

10.    Wu Y*, Liu S*, Young C, Dahal D, Sohl T, and Davis B, 2015. Projection of corn production and stover harvesting impacts on soil organic carbon dynamics in the U.S. Temperate Prairies. Scientific Reports, 5, 10830.

11.    Wu Y, Liu S*, Yan W*, Xia J, Xiang W, Wang K, Luo Q, Fu W, and Yuan W, 2015. Climate change and consequences on the water cycle in the humid Xiangjiang River Basin, China. Stochastic Environmental Research and Risk Assessment, 30(1): 225–235.

12.    Wu Y*, Liu S*, and Tan Z, 2015. Quantitative attribution of major driving forces on soil organic carbon dynamics. Journal of Advances in Modeling Earth Systems, 7(1): 21–34.

13.    Wu Y*, Liu S*, and Yan W, 2014. A universal Model-R Coupler to facilitate the use of R functions for model calibration and analysis. Environmental Modelling & Software, 62: 65–69.

14.    Wu Y* and Liu S*, 2014. A suggestion for computing objective function in model calibration, Ecological Informatics, 24: 107–111.

15.    Wu Y*, Cheng D, Yan W*, Liu S, Xiang W, Chen J, Hu Y, Wu Q, 2014. Diagnosing climate change and hydrological responses in the past decades for a minimally-disturbed headwater basin in South China, Water Resources Management, 28(12): 43854400.

16.    Wu Y*, Liu S*, Huang Z, Yan W, 2014. Parameter optimization, sensitivity and uncertainty analysis of an ecosystem model at a forest flux tower site in the United States. Journal of Advances in Modeling Earth Systems, 6(2): 405419.

17.    Wu Y*, Liu S*, Li Z, Dahal D, Young C, Schmidt GL, Liu J, Davis B, Sohl TL, Werner J, and Oeding J, 2014. Development of a generic auto-calibration package for regional ecological modeling and application in the Central Plains of the United States, Ecological Informatics, 19: 3546.

18.    Wu Y* and Liu S*, 2014. Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions, Science of the Total Environment, 466467: 455466.

19.    Wu Y*, Liu S*, Sohl T, and Young C, 2013. Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States, Environmental Research Letters, 8(2), 024025.

20.    Wu Y* and Chen J*, 2013. Investigating the effects of point source and nonpoint source pollution on the water quality of the East River (Dongjiang) in South China, Ecological Indicators, 32: 294304.

21.    Wu Y* and Chen J*, 2013. Analyzing the water budget and hydrological characteristics and responses to land use in a monsoonal climate river basin in South China, Environmental Management, 51(6): 1174-1186.

22.    Wu Y*, Li T*, Sun L, and Chen J, 2013. Parallelization of a hydrological model using the message passing interface, Environmental Modelling & Software, 43: 124–132.

23.    Wu Y and Chen J*, 2013. Estimating irrigation water demand using an improved method and optimizing reservoir operation for water supply and hydropower generation: a case study of the Xinfengjiang reservoir in southern China, Agricultural Water Management, 116: 110–121.

24.    Wu Y and Chen J*, 2012. Modeling of soil erosion and sediment transport in the East River Basin in southern China, Science of the Total Environment, 441: 159–168.

25.    Wu Y and Liu S*, 2012. Modeling of land use and reservoir effects on nonpoint source pollution in a highly agricultural basin, Journal of Environmental Monitoring, 14(9): 2350–2361.

26.    Wu Y, Liu S*, and Gallant A, 2012. Predicting impacts of increased CO2 and climate change on the water cycle and water quality in the semiarid James River Basin of the Midwestern USA, Science of the Total Environment, 430: 150–160.

27.    Wu Y, Liu S*, and Chen J, 2012. Urbanization eases water crisis in China, Environmental Development, 2: 142–144.

28.    Wu Y, Liu S* and Li Z, 2012. Identifying potential areas for biofuel production and evaluating the environmental effects: a case study of the James River Basin in the Midwestern United States, Global Change Biology Bioenergy, 4(6): 875–888.

29.    Wu Y and Liu S*, 2012. Automating calibration, sensitivity and uncertainty analysis of complex models using the R package Flexible Modeling Environment (FME): SWAT as an example, Environmental Modelling & Software, 31: 99–109.

30.    Wu Y and Liu S*, 2012. Impacts of biofuels production alternatives on water quantity and quality in the Iowa River Basin, Biomass & Bioenergy, 36:182–191.

31.    Wu Y and Chen J*, 2012. An operation-based scheme for a multiyear and multipurpose reservoir to enhance macro-scale hydrologic models, Journal of Hydrometeorology, 13(1): 270–283.

32.    Wu Y, Liu S*, and Abdul-Aziz OI, 2012. Hydrological effects of the increased CO2 and climate change in the Upper Mississippi River Basin Using a modified SWAT, Climatic Change, 110(3–4): 977–1003.

33.    Chen J* and Wu Y, 2012. Advancing representation of hydrologic processes in the Soil and Water Assessment Tool (SWAT) through integration of the TOPographic MODEL (TOPMODEL) features, Journal of Hydrology, 420–421: 319–328.

34.  Zhou G*, Wei X, Wu Y, Liu S, Huang Y, Yan J, Zhang D, Zhang Q, Liu J, Meng Z, Wang C, Chu G, Liu SZ, Tang X, and Liu X, 2011. Quantifying the hydrological responses to climate change using an intact forested small watershed in Southern China, Global Change Biology, 17(12): 3736–3746.

Research experience

SWAT-DayCent Coupler

Model-R Coupler