image for Zhang, Zhenxing

Zhang, Zhenxing

Associate Research Scientist, Hydrology

Address and Contact Information

2204 Griffith Drive, Building 5, Room 510
M/C 674
Champaign, IL  61820


Ph.D. Water Resources Engineering, State University of New York College of Environmental Science and Forestry, Syracuse, NY

M.S. Applied Statistics, Syracuse University,Statistics Program, Syracuse, NY

M.S. Environmental Sciences, Peking University, Center for Environmental Sciences, Beijing, China

B.S. Environment Planning & Management, Wuhan University, Department of Environmental Sciences, Wuhan, China 

Research Biography

Research Interests

My research interests lie in developing holistic approaches to sustainable water resources planning and management, and to better understand the uncertainty involved with forecasting hydrologic phenomena and planning water resources. My research primarily encompasses the areas of low streamflow hydrology, watershed hydrology, prediction in ungauged basins, water resources systems analysis, stochastic and deterministic hydrologic modelling, water resources systems, water-energy nexus and multi-objective optimizations.

Selected Publications

  1. Wang, Y., Zhang, Z.*, Allen, E.E., Hernandez, L.A.D.L.G., Qie, G., Wu, X., Zhao, W., 2022. An integrated framework to assess climate change impacts on water use for thermoelectric power plants. J. Clean. Prod. 134271.
  2. Zhao, W., Zhang, H., Zhang, Z., Zhang, K., Wang, L., 2022. Parameters Tuning of Fractional-Order Proportional Integral Derivative in Water Turbine Governing System Using an Effective SDO with Enhanced Fitness-Distance Balance and Adaptive Local Search. Water 14, 3035.
  3. De La Guardia, L., Zhang, Z.*, Bai, X., 2022. Regional and temporal variability in water use intensity for thermoelectric power plants in the contiguous United States. J. Clean. Prod. 378, 134604.
  4. Wang, L., Cao, Q., Zhang, Z., Mirjalili, S., Zhao, W., 2022. Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems. Eng. Appl. Artif. Intell. 114, 105082.
  5. Zhao, W., Zhang, Z., Mirjalili, S., Wang, L., Khodadadi, N., Mirjalili, S.M., 2022. An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems. Comput. Methods Appl. Mech. Eng. 398, 115223.
  6. Qie, G., Zhang, Z.*, Getahun, E., Mamer, E., Comparison and evaluation of SWAT + and machine learning model performance on simulating reservoir outflow. Journal of American Water Resources Association, accepted.
  7. Li, J., Bevacqua, E., Chen, C., Wang, Z., Chen, X., Myneni, R.B., Wu, X., Xu, C.-Y., Zhang, Z., Zscheischler, J., 2022. Regional asymmetry in the response of global vegetation growth to springtime compound climate events. Commun. Earth Environ. 3, 1–9.
  8. Wang, P., Bai, X., Wu, X., Lai, C., Zhang, Z., 2022. Spatially continuous assessment of satellite-based precipitation products using triple collocation approach and discrete gauge observations via geographically weighted regression. J. Hydrol. 608, 127640.
  9. Li, J., Wang, Z., Wu, X., Xu, C.-Y., Guo, S., Chen, X., Zhang, Z., 2021. Robust meteorological drought prediction using antecedent SST fluctuations and machine learning. Water Resour. Res. 57, e2020WR029413.
  10. Bai, X., Wang, P., He, Y., Zhang, Z., Wu, X., 2021. Assessing the accuracy and drought utility of long-term satellite-based precipitation estimation products using the triple collocation approach. J. Hydrol. 603, 127098.
  11. Zhang, Z.*, Getahun, E., Mu, M., Chandrasekaran, S., 2021. Water Supply Planning Considering Uncertainties in Future Water Demand and Climate: A Case Study in an Illinois Watershed. J. Am. Water Resour. Assoc. 1752–1688.12948.
  12. Zhao, W., Guan, X., Zhang,*, Wang, Z., Wang, L., Mamer, E.A., 2021. Development of flow-duration-frequency curves for episodic low streamflow. Advance in Water Resources, 156, 104021.
  13. Gao, Y., Chen, J., Wang, D., Zhang,, Zhao, C., 2021. Comprehensive Benefits Evaluation System and Application of Low Impact Development Measures in Sponge City. Water Resources Protection 37:13–19
  14. Shi, L., Chen, H., Meng, H., Cheng, R., Dai, J., Zheng, X.*, Zhang, Z.*, 2021. How Environmental Policy Impacts Technology Adoption: A Case of Landfill Leachate. Journal of Cleaner Production 310:127484
  15. Li, J., Wang, Z., Wu, X., Chen, J., Guo, S., Zhang, Z., 2020. A new framework for tracking flash drought events in space and time. Catena, 194, 104763.
  16. Mu, M., Zhang, Z.*, Cai, X., Tang, Q.*, 2020. A water-electricity nexus model to analyze thermoelectricity supply reliability under environmental regulations and economic penalties during drought events. Environmental Modelling & Software, 123, 104514.
  17. Mu, M., Zhang, Z.*, Cai, X., Tang, Q*., 2020. Seasonal risk assessment of water-electricity nexus systems under water consumption policy constraint. Environmental Science & Technology, 54 (7), 3793-3802.
  18. Zhang, Z.*, Balay, J. W., Liu, C., 2020. Regional regression models for estimating monthly streamflows. Science of The Total Environment, 706, 135729.
  19. Zhao, W., Zhang, Z., Wang, L. (2020). Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications. Engineering Applications of Artificial Intelligence, 87, 103300.
  20. Zheng, X., Wen, J., Shi, L., Cheng, R.*, Zhang, Z.*, 2020. A top-down approach to estimate global RO desalination water production considering uncertainty. Desalination, 488, 114523.
  21. Zheng, X., Tan, S., Cheng, R., Zhang, Z.*, Shi, L.*, 2020. Identify competitive advantages and disadvantages of seawater desalination industry in China using the diamond model. Desalination and Water Treatment, 173, 123–132.
  22. Li, J., Wang, Z., Lai, C., Zhang, Z., 2019. Tree-ring-width based streamflow reconstruction based on the random forest algorithm for the source region of the Yangtze River, China. Catena, 183, 104216.
  23. Zeng, Z., Lai, C., Wang, Z., Chen, X., Zhang, and Cheng, X., 2019. Intensity and spatial heterogeneity of design rainstorm under nonstationarity and stationarity hypothesis across mainland China. Theoretical and Applied Climatology, 138(3-4), 1795-1808.
  24. Bai, Y., Zhang, Z.*, 2019. Assessing the impact of climate change on flood events using HEC-HMS and CMIP5. Water, Air & Soil Pollution, 230(6), 119.
  25. Zhao, W., Wang, L.*, and Zhang, Z.*, 2019. Supply-demand-based optimization: a novel economics-inspired algorithm for global optimization. IEEE Access, 7:73182-73206
  26. Huang, X., Liu, J., Zhang, Z.*, Fang, G., Chen, Y., 2019. Assess river embankment impact on hydrologic alterations and floodplain vegetation. Ecological Indicators 97: 372-379.
  27. Zhao, W., Wang, L., Zhang,, 2019. A novel atom search optimization for dispersion coefficient estimation in groundwater. Future Generation Computer Systems 91: 601-610.
  28. Li, P., Liu, L., Wu, J., Cheng, R., Shi, L., Zheng, X., Zhang, Z.*, 2019. Identify driving forces of MBR applications in China. Science of The Total Environment 647: 627-638.
  29. Zhao W., Wang, L., Zhang,, 2019. Artificial ecosystem-based optimization: a novel nature-inspired metaheuristic algorithm. Neural Computing and Applications, 2019, 1–43.
  30. Zhao, W., Wang, L., Zhang,, 2019.Atom search optimization and its application to solve a hydrogeologic parameter estimation problem. Knowledge-Based Systems 163: 283-304.
  31. Gao, Y., Guo, Z., Wang, D., Zhang Z., Liu, Y., 2018. Multivariate Flood Risk Analysis at a Watershed Scale Considering Climatic Factors. Water 10(12): 1821.
  32. Liu, C., Zhang, Z.*, Balay, J.W., 2018. Posterior assessment of reference gages for water resources management using instantaneous flow measurements. Science of The Total Environment 634: 12-19.
  33. Gao, Y., Wang, D., Zhang, , Ma, Z., Guo, Z., Ye, L., 2018. Analysis of Flood Risk of Urban Agglomeration Polders Using Multivariate Copula. Water 10(10): 1470.
  34. Stagnitta, T. J., Kroll, C.N., Zhang,, 2018. A comparison of methods for low streamflow estimation from spot measurements. Hydrological Processes 32(4): 480-492.
  35. Gao, Y., Wang, H., Lu, X., Xu, Y., Zhang,, Schmidt, A.R., 2018. Hydrologic Impact of Urbanization on Catchment and River System Downstream from Taihu Lake. Journal of Coastal Research 84(sp1): 82-88.
  36. Gao, Y., Yuan, Y., Wang, H., Zhang, Z., Ye, L. 2018. Analysis of impacts of polders on flood processes in Qinhuai River Basin, China, using the HEC-RAS model. Water Science and Technology: Water Supply 18(5): 1852-1860.
  37. Zhang, Z., 2017. The index gage method to develop long term flow duration curve from short term records. Journal of Hydrology, 553(2017):119-129
  38. Liu, L., Cheng, R., Chen, X., Zheng, X.*, Shi, L., Cao, D., Zhang, Z.*, 2017. Application of membrane technology in treating wastewater from the dying industry in China: current status and prospect. Desalination and Water Treatment, 77(2017)366-376
  39. Chen, X., Zhang, Z.*, Liu, L., Cheng, R., Shi, L., Zheng, X., 2016. RO membrane application in China: history, current status. and driving forces. Desalination, 397, 185-193
  40. Zhang Z., Balay, J.W., Bertodi, K.M., Macoy, P.O., 2016. Assessment of water capacity and availability from unregulated stream flow based on ecosystem limit of hydrologic alteration (ELOHA) environmental flow goals. River Research and Applications, 32:1469–1480.
  41. Zhang, Z., Wang, J., Zheng, X., 2016. Quantitative microbial risk assessment: history and progress. Acta Scientiae Circumstantiae, 36(1), 2-15.
  42. DeNooyer, T.A., Peschel, J.M., Zhang,, Stillwell, A.S., 2016. Integrating water resources and power generation: The energy-water nexus in Illinois. Applied Energy, 162, 363-371.
  43. Zheng X., Zhang, Z.*, Yu, D., Chen, X., Cheng, R., Min, S., Xiao, Q., Wang, J., 2015. Overview of membrane technology applications for industrial wastewater treatment to increase water supply. Resources, Conservation & Recycling, 105, 1-10.
  44. Gu, Q., Chen, Y., Pody, R., Cheng, R., Zheng, X., Zhang, Z.*, 2015. Public perception and acceptability toward reclaimed water in Tianjin. Resources, Conservation & Recycling, 104, 291-299
  45. Zhang, Z., Balay, J.W., 2014.How Much is Too Much? Challenges to water withdrawal and consumptive use management. Water Resour. Plann. Manage., 10.1061/(ASCE)WR.1943-5452.0000446, 01814001.
  46. Zheng, X., Chen, D., Wang, Q., Zhang, Z.*, 2014. Seawater desalination in China: retrospect and prospect. Chemical Engineering Journal, 242(2014), 404-413.
  47. Zhang, Z., Dehoff, A.A., Pody, R.D., Balay, J.W., 2010. Detection of streamflow change in the Susquehanna River Basin. Water Resources Management, 24(10), 1947-1964, doi: 10.1007/s11269-009- 9532-0.
  48. Zhang, Z., Dehoff, A.D., Pody, R.D., 2010. A new approach to identify trend pattern of streamflows. Journal of Hydrologic Engineering, ASCE, 15(3), 244-248, doi:1061/(ASCE)HE.1943-5584.0000179.
  49. Wagener, T., Reed, P., Van Werkhoven, K., Tang, Y., Zhang,, 2009. Advances in the identification and evaluation of complex environmental system models. Journal of Hydroinformatics, 11(3-4), 266-281, doi:10.2166/hydro.2009.040.
  50. Zhang, Z., Wagener, T., Reed, P.M., Bhushan, R., 2008. Reducing uncertainty in predictions in ungauged basins by combining hydrologic indices regionalization and multiobjective optimization. Water Resources Research, 44, W00B04, doi:10.1029/2008WR006833.
  51. Zhang, Z., Kroll, C.N., 2007. The baseflow correlation method with multiple gauged sites, Journal of Hydrology, 347(3-4), 371-380, doi:10.1016/j.jhydrol.2007.09.025.
  52. Zhang, Z., Kroll, C.N., 2007. Closer look at the baseflow correlation method. Journal of Hydrologic Engineering, ASCE, 12(2), 190-196, doi:1061/(ASCE)1084-0699(2007)12:2(190).
  53. Liu, Y., Guo, H., Zhang,, Wang, L., Dai, Y., Fan, Y., 2007. An optimization method based on scenario analysis for watershed management under uncertainty. Journal of Environmental Management, 39,678-690.
  54. Wang, L., Meng, W., Guo, H., Zhang,, Liu, Y., Fan, Y., 2006. An interval fuzzy multiobjective watershed management model for the Lake Qionghai Watershed, China. Water Resources Management, 20(5), 701-721.
  55. Chen, B., Guo, H., Huang, G.H., Maqsood, I., Zhang, N., Wu, S.M., Zhang,, 2005. ASRWM: an arid/semiarid region water management model. Engineering Optimization, 37(6), 609-631.
  56. Guo, H., Zhang, Z., Yu, Y., 2004. A grey multi-objective programming to sustainable land-use in Miyun Reservoir Basin. Journal of Environmental Sciences, 16(1), 120-125.
  57. Guo, H., Zhang,, Chen, B., Zuo, R., Zhang, N., 2003. Anti-poverty and environment sustainability in West China----a study for the Hemoluo district. Journal of Peking University, 40(1), 144-153.
  58. Guo H., Zhang,, Yu, Y., 2003. Sustainable basin land-use planning and its application. Geographical Research, 22(6), 671-679.
  59. Zhang, Z., Guo, H., Chen, B., Zhang, N., 2002. Economic-environmental system planning for arid regions in China. Acta Ecologica Sinica, 22(7), 1018-1027.
  60. Zhang, Z., Guo, H., Chen, B., Zhang, N., 2001. An inexact multi-objective economic environmental planning model for Hemoluo Region, Xinjiang. Journal of Basic Science and Engineering, 9(1), 33-42.
  61. Zhang, N., Zhang, Z., Guo, H., 2001, Analysis on the relations between poverty and environment in Hemoluo district. China Population, Resources and Environment, 11(52), 57-59.
  62. Hu, Z., Zhang , et al., 2001. The water quality prediction system for Guanting Reservoir of Beijing City. China Environment Science, 21(3), 275-278.


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