金莎娱乐ZHI? LI

  Professor of Hydrology, College of Natural Resources and Environment, Northwest A&F University

  Contact information:

  PO Box 81, No 3 Taicheng Road, Yangling, Shaanxi Province, 712100, China

  Tel: +86-29-8708-2069

  Email: lizhibox@nwafu.edu.cn <mailto:lizhibox@nwafu.edu.cn>

  ResearchGate: https://www.researchgate.net/profile/Zhi_Li37

  Education Background

  l2004-2007, Ph.D., Watershed Hydrology, Institute of Soil and Water Conservation, Chinese Academy of Sciences, China

  l2001-2004, M.S., Environmental Sciences, Northwest University, China

  l1997-2001, B.S., Geographic Sciences, Yantai Normal University, China

  Working Experiences

  l2016.12-present, Vice Dean, College of Natural Resources and Environment, Northwest A&F University, China

  l2015.07-2017.02, Visiting professor, University of Saskatchewan, Canada

  l2014.12-present, Professor, Northwest A&F University, China.

  l2011.03-2012.03, Visiting Scholar, University of Quebec, Canada

  l2007.06-2014.12, Assistant/Associate Professor, Northwest A&F University, China

  Research Interests

  My research interests focus on assessing and regulating the impacts of environmental changes on hydrology. During the past decades, climate variability and human activity-induced land use change have greatly altered the hydrological processes. It is of utmost importance to quantify the impacts of these changes on surface water and groundwater. I have been doing two aspects of studies respectively related to streamflow and groundwater.

  The first aspect is to quantify/project the effects of the past/future climate change on runoff and soil erosion both on hill slope and watershed scale. Modeling methods have been used, such as hydrological models (SWAT and WEPP), weather generators, and climate models (GCMs and RCMs). My main work is to solve the mismatch between the course resolution of GCM outputs (grid and monthly scale) and the high resolution input requirement of hydrological models (station and daily scale). I am trying to develop some techniques for GCM downscaling.

  The second research area is related to groundwater sustainability under changing environment. To understand the changes in groundwater and the controlling factors, tracer method such as isotope and chloride is used to interpret the recharge mechanism and quantify the recharge rates. Further, combined with modeling work by HYDRUS-1D, the impacts of land use change on groundwater recharge are quantified to give information for water resources management.

  Research Grants Funded (Recent five years)

  1.Evaluation of hydrological variability based on dynamical-statistical GCM downscaling. Principal Investigator. Funded by National Natural Science Foundation of China. 2018-2020.

  2.Study on the hydrological cycle in the loess tableland-gully region using stable isotope. Principal Investigator. Funded by National Natural Science Foundation of China. 2012-2015.

  3.Rebuilding the spatial correlation of meteorological variables during the statistical downscaling of GCM. Principal Investigator. Funded by National Natural Science Foundation of China. 2012-2014.

  4.Groundwater recharge mechanism in the Luochuan loess plateau based on tritium mass balance techniques. Principal Investigator. Funded by Natural Science Foundation of Shaanxi Province.

  5.The mechanism of groundwater recharge and its response to land use change on the Changwu tableland. Principal Investigator. Funded by State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau. 2014-2016.

  6.Quantifying the impacts of land use change on soil water infiltration. Principal Investigator. Funded by Science and Technology Research and Development Program of Shaanxi Province, China. 2013-2015.

  Publications (First and corresponding authors in international journals)

  Environmental change (Land use and climate change analysis and projection)

  [1]Peng Shouzhang, Li Zhi*. Incorporation of potential natural vegetation into revegetation programs for sustainable land management. Land Degradation & Development, 2018, 29(10): 3503-3511. DOI: 10.1002/ldr.3124. (SCI, IF=7.27)

  [2]Li Jingjing, Peng Shouzhang, Li Zhi*. Detecting and attributing vegetation changes on China’s Loess Plateau. Agricultural and Forest Meteorology, 2017, 247: 260-270. DOI: 10.1016/j.agrformet.2017.08.005. (SCI, IF=3.887)

  [3]Li Zhi*, Zheng Fenli, Liu Wenzhao. Spatiotemporal characteristics of reference evapotranspiration during 1961-2009 and its projected changes during 2011-2099 on the Loess Plateau of China. Agricultural and Forest Meteorology, 2012, 154-155: 147-155. DOI: 10.1016/j.agrformet.2011.10.019. (SCI, IF=3.887)

  [4]Peng Shouzhang, Li Zhi*. Potential land use adjustment for future climate change adaptation in revegetated regions. Science of the Total Environment, 2018, 639: 476-484. DOI: 10.1016/j.scitotenv.2018.05.194. (SCI, IF=4.9)

  [5]Li Jingjing, Li Zhi*, Lü Zhemin. Analysis of spatiotemporal variations in land use in the Loess Plateau in China during 1986-2010. Environmental Earth Sciences, 2016, 75: 997. DOI: 10.1007/s12665-016-5807-y. (SCI, IF=1.765)

  [6]Li Zhi*. A new framework for multi-site weather generator: a two-stage model combining a parametric method with a distribution-free shuffle procedure. Climate Dynamics, 2014, 43(3-4):657-669. DOI: 10.1007/s00382-013-1979-2. (SCI, IF=4.619)

  [7]Li Zhi*, Brissette F, Chen J. Assessing the applicability of six precipitation probability distribution models on the Loess Plateau of China. International Journal of Climatology, 2014, 34(2): 462-471. DOI: 10.1002/joc.3699. (SCI, IF=3.76)

  [8]Li Zhi*, Brissette Francois, Chen Jie. Finding the most appropriate precipitation probability distribution for stochastic weather generation and hydrological modelling in Nordic watersheds. Hydrological Processes, 2013, 27(25): 3718-3729. DOI: 10.1002/hyp.9499. (SCI, IF=3.014)

  [9]Li Zhi*, Zheng Fenli, Liu Wenzhao, Jiang Dejuan. Spatially downscaling GCMs outputs to project changes in extreme precipitation and temperature events on the Loess Plateau of China during the 21st Century. Global and Planetary Change, 2012, 82-83: 65-73. DOI: 10.1016/j.gloplacha.2011.11.008. (SCI, IF=3.915)

  [10]Li Zhi*, Shi Xiaoping. Stochastic generation of daily precipitation considering diverse model complexity and climates. Theoretical and Applied Climatology, 2019, 137, 839-853. DOI: 10.1007/s00704-018-2638-7. (SCI, IF=2.321)

  [11]Li Zhi*, Shi Xiaoping, Li Jingjing. Multisite and multivariate GCM downscaling using a distribution-free shuffle procedure for correlation reconstruction. Climate Research, 2017, 72(2): 141-151. DOI: 10.3354/cr01460. (SCI, IF=1.578)

  [12]Li Zhi*, Lü Zhemin, Li Jingjing, Shi Xiaoping. Links between the spatial structure of weather generator and hydrological modeling. Theoretical and Applied Climatology, 2017, 128(1): 103-111. DOI: 10.1007/s00704-015-1691-8. (SCI, IF=2.64)

  [13]Li Zhi*, Li Yanping, Shi Xiaoping, Li Jingjing. The characteristics of wet and dry spells for the diverse climate in China. Global and Planetary Change, 2017, 149: 14-19. DOI: 10.1016/j.gloplacha.2016.12.015. (SCI, IF=3.915)

  [14]Li Zhi, Zheng Fenli*, Liu Wenzhao, Flanagan Dennis. Spatial distribution and temporal trends of extreme temperature and precipitation events on the Loess Plateau of China during 1961-2007. Quaternary International, 2010, 226 (1-2): 92-100. DOI: 10.1016/j.quaint.2010.03.003. (SCI, IF=2.199)

  Hydrological cycle response to environmental changes

  [1]Huang Yanan, Evaristo Jaivime, Li Zhi*. Multiple tracers reveal different groundwater recharge mechanisms in deep loess deposits. Geoderma, 2019, 353: 204-212. DOI: 10.1016/j.geoderma.2019.06.041. (SCI, IF=4.336)

  [2]Li Bingbing, Wang Yunqiang, Hill Robert, Li Zhi*. Effects of apple orchards converted from farmlands on soil water balance in the deep loess deposits based on HYDRUS-1D model. Agriculture, Ecosystems & Environment, 2019, 285: 106645. DOI: 10.1016/j.agee.2019.106645. (SCI, IF=3.954)

  [3]Li Zhi*, Scott Jasechko, Bingcheng Si*. Uncertainties in tritium mass balance models for groundwater recharge estimation. Journal of Hydrology, 2019, 571: 150-158. DOI: 10.1016/j.jhydrol.2019.01.030. (SCI, IF=3.727)

  [4]Li Zhi*, Si Bingcheng*. Reconstructed precipitation tritium leads to overestimated groundwater recharge. Journal of Geophysical Research: Atmospheres, 2018, 123(17): 9858-9867. DOI: 10.1029/2018JD028405. (SCI, IF=3.38)

  [5]Li Zhi*, Chen Xi, Liu Wenzhao, Si Bingcheng*. Determination of groundwater recharge mechanism in the deep loessial unsaturated zone by environmental tracers. Science of the Total Environment, 2017, 586: 827-835. DOI: 10.1016/j.scitotenv.2017.02.061. (SCI, IF=4.9)

  [6]Li Zhi*, Xiang Wei, Lin Xueqing, Chen Xi, Huang Tianming. Stable isotope tracing of headwater sources in a river on the Loess Plateau of China. Hydrological Sciences Journal, 2017, 62(13): 2150-2159. DOI: 10.1080/02626667.2017.1368519. (SCI, IF=2.222)

  [7]Li Zhi, Jin Jiming. Evaluating climate change impacts on streamflow variability based on a multisite multivariate GCM downscaling method in the Jing River of China. Hydrology and Earth System Sciences, 2017, 21(11): 5531-5546. DOI: 10.5194/hess-21-5531-2017. (SCI, IF=4.437)

  [8]Li Zhi*, Liu Wenzhao, Zhang Xunxhang, Zheng Fenli. Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China. Journal of Hydrology, 2009, 377(1-2): 35-42. DOI: 10.1016/j.jhydrol.2009.08.007. ?(SCI, IF=2.305)

  [9]Li Zhi*, Ning Tingting, Li Jingjing, Yang Daqing. Spatiotemporal variation in the attribution of streamflow changes in a catchment on China's Loess Plateau. CATENA, 2017, 158: 1-8. DOI: 10.1016/j.catena.2017.06.008. (SCI, IF=3.191)

  [10]Li Zhi*, Lin Xueqing, Cloes Anna, Chen Xi. Catchment-scale surface water-groundwater connectivity on China’s Loess Plateau. CATENA, 2017, 152: 268-276. DOI: 10.1016/j.catena.2017.01.026. (SCI, IF=3.191)

  [11]Ning Tingting, Li Zhi*, Liu Wenzhao*. Separating the impacts of climate change and land surface alteration on runoff reduction in the Jing River catchment of China. CATENA, 2016, 147: 80-86. DOI: 10.1016/j.catena.2016.06.041. (SCI, IF=3.191)

  [12]Li Zhi*, Liu Wenzhao, Zhang Xunchang, Zheng Fenli. Assessing the site-specific impacts of climate change on hydrology, soil erosion and crop yields in the Loess Plateau of China. Climatic Change, 2011, 105(1-2): 223-242. DOI: 10.1007/s10584-010-9875-9. (SCI, IF=3.496)

  [13]Li Zhi*, Liu Wenzhao, Zhang Xunchang, Zheng Fenli. Assessing and regulating the impacts of climate change on water resources in the Heihe watershed on the Loess Plateau of China. Sci China Earth Sci, 2010, 53(5): 710-720. DOI: 10.1007/s11430-009-0186-9. (SCI, IF=1.989)

  Water quality and pollution response to environmental change

  [1]Kun Hua, Jun Xiao, Shujian Li, Li Zhi*. Analysis of hydrochemistry characteristics and controlling factors in the Fen River of China. Sustainable Cities and Society, 2019, DOI: 10.1016/j.scs.2019.101827. (SCI, IF=4.624)

  [2]Li Zhou, Xiao Jun, Jaivime Eva, Li Zhi*. Spatiotemporal variations in the hydrochemical characteristics and controlling factors of streamflow and groundwater in the Wei River of China. Environmental Pollution, 2019, 254, DOI: 10.1016/j.envpol.2019.113006. (SCI, IF=5.714)

  [3]Huang Yanan, Chang Qingrui, Li Zhi*. Land use change impacts on the amount and quality of recharge water in the loess tablelands of China. Science of the Total Environment, 2018, 628-629: 443-452. DOI: 10.1016/j.scitotenv.2018.02.076. (SCI, IF=4.9)