ZHU Liang-Jun, Associate Professor, State Key Laboratory of Resources and Environmental Information System

RESEARCH INTERESTS:

Watershed process modeling, spatial optimization of watershed management practice scenario

EDUCATION:

2014–2019   Ph.D. (GIS), University of Chinese Academy Sciences, Beijing, P.R.C.

2011–2014 M.Sc. (Physical Geography), Beijing Normal University, Beijing, P.R.C.

2007–2011   B.Sc. (GIS), Northwest A&F University, Yangling, Shaanxi, P.R.C.

PROFESSIONAL EMPLOYMENT:

2023-12 to date:           Associate Professor, State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy Sciences (CAS)

2019-07 to 2023-12:   Assistant Professor, State Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy Sciences (CAS)

AS PRINCIPAL INVESTIGATOR IN RESEARCH PROJECTS

[3] "Design and development of geospatial intelligent analysis and computing engine", task of the National Key Research and Development Program (No. 2021YFB3900904), 12/2021–11/2024.

[2] "Study on hydrological modeling method considering spatiotemporal heterogeneity of large watershed", Youth Project of Innovation LREIS (YPI005), 11/2022–12/2024.

[1] "Spatial optimization of watershed management practices based on nested geographic objects", National Natural Science Foundation of China for Young Scientists Fund (No. 42101480), 2022–2024.

PARTICIPATING IN RESEARCH PROJECTS

[2] "Decision support for water environment supervision and water pollution prevention and control in the Minjiang River Basin", Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA23100503), 2019–2023, PI: Cheng-Zhi Qin

[1] "Slope position as spatial unit for optimizing scenarios of Beneficial Watershed Management Practices (BMPs) in a unit-boundary adaptive manner", National Natural Science Foundation of China (No. 41871362), 2019–2022, PI: Cheng-Zhi Qin

AWARDS, HONORS, AND SCHOLARSHIPS:

2013       National scholarship for graduate students, Beijing Normal University

2008       National scholarship for undergraduate students, Northwest A&F University

SELECTED PUBLICATIONS AND RESEARCH PAPERS:

As of Jan. 2024, totally 16 peer-reviewed journal articles (including 8 SCI/SSCI-indexed papers) as the first author and/or corresponding author, 13 peer-reviewed journal articles (including 7 SCI/SSCI-indexed papers) as co-author have been published.

[8] From scenario to roadmap: Design and evaluation of a web-based participatory watershed planning system for optimizing multistage implementation plans of management practices under stepwise investment. 2023. Journal of Environmental Management, 342: 118280. doi:10.1016/j.jenvman.2023.118280 (corresponding author)

[7] Optimizing the implementation plan of watershed best management practices with time-varying effectiveness under stepwise investment. 2023. Water Resources Research, 59(6): e2022WR032986. doi:10.1029/2022WR032986 (corresponding author)

[6] Identification of watershed priority management areas based on landscape positions: An implementation using SWAT+. 2023. Journal of Hydrology, 619: 129281. doi:10.1016/j.jhydrol.2023.129281 (corresponding author)

[5] Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units. 2021. Progress in Physical Geography: Earth and Environment, 45(2): 207–227. doi:10.1177/0309133320939002 (1st author)

[4] A modular and parallelized watershed modeling framework. 2019. Environmental Modelling & Software, 122, 104526. doi:10.1016/j.envsoft.2019.104526 (1st author)

[3] Effects of different spatial configuration units for the spatial optimization of watershed best management practice scenarios. 2019. Water, 11(2), 262. doi:10.3390/w11020262 (1st author)

[2] Spatial optimization of watershed best management practices based on slope position units. 2018. Journal of Soil and Water Conservation, 73(5):504–517. doi:10.2489/jswc.73.5.504 (corresponding author)

[1] Automatic approach for deriving fuzzy slope positions. 2018. Geomorphology, 304:173–183. doi:10.1016/j.geomorph.2017.12.024 (1st author)

CONTACTS:

State Key Laboratory of Resources and Environmental Information System,

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy Sciences

11A Datun Road, Chaoyang District, Beijing 100101, P.R. China

zlj@lreis.ac.cn

https://zhulj.net

https://github.com/crazyzlj