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

Dissertation: Method of optimizing spatial configuration of beneficial watershed management practices in a unit-boundary adaptive manner

Supervisors: Professor A-Xing Zhu and Professor Cheng-Zhi Qin

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

Thesis: A laser scanner for surface roughness and rill morphology measurement based on linear structured light

Supervisor: Professor Guang-Hui Zhang

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

• 12/2023 to date: Associate Professor, LREIS, IGSNRR, CAS

• 07/2019 to 12/2023: 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 of May 2026, a total of 19 peer-reviewed journal articles (including 10 SCI/SSCI-indexed papers) as the first author and/or corresponding author, 18 peer-reviewed journal articles (including 8 SCI/SSCI-indexed papers) as co-author have been published. These papers are published in mainstream journals of geographic process modeling and integrated physical geography, such as Environmental Modelling & Software, Progress in Physical Geography, Water Resources Research, Journal of Hydrology, Journal of Environmental Management, Journal of Soil and Water Conservation, Geomorphology, Geoderma, and Earth Surface Processes and Landforms.

Academic pages: Web of Science, Google Scholar, ResearchGate, and ORCiD,

Selected papers:

Position paper and research summary

> Qin, C.Z., Zhu, L.J.*, Zhu, A.X., 2025. Position paper: Domain knowledge-driven intelligentization of watershed modeling and scenario analysis for precise watershed management. Information Geography, 1(1): 100016. doi:10.1016/j.infgeo.2025.100016

> Qin, C., Zhu, L.*, Shen, S., Wu, T., Xiao, G., Wu, S., Chen, Y., Wang, X., Feng, X., Zhu, A., Lu, F., 2024. Methods for supporting decision-making of precision watershed management based on watershed system simulation and scenario optimization. ACTA GEOGRAPHICA SINICA (in Chinese with English abstract), 79(1):58–75.

> Zhu, A.-X., Zhu, L.-J.*, Shi, Y., Qin, C.-Z., Liu, J., 2019. Integrated watershed modeling and scenario analysis: a new paradigm for integrated study of physical geography? Progress in Geography (in Chinese with English abstract), 38(8):1111–1122.

Watershed system modeling and simulation

> Wang, Y.J., Zhu, L.J.*, Qin, C.Z., Zhu, A.X., 2026. A spatially hybrid hydrological modeling approach using subbasin-specific model structures. Environmental Modelling & Software, 200: 106944. doi:10.1016/j.envsoft.2026.106944

> Wu, T., Zhu, L.-J.*, Shen, S., Zhu, A.-X., Shi, M., Qin, C.-Z., 2023. Identification of watershed priority management areas based on landscape positions: An implementation using SWAT+. Journal of Hydrology, 619: 129281. (See the blog for related presentations)

> Zhu, L.-J., Liu, J.*, Qin, C.-Z.*, Zhu, A.-X., 2019. A modular and parallelized watershed modeling framework. Environmental Modelling & Software, 122: 104526. (Source code; Online Document; See the blog for related presentations)

Spatiotemporal optimization of watershed management practice scenarios

> Wu, T., Zhu, L.J.*, Shen, S., Qin, C.Z., Zhu, A.X. 2026. Spatiotemporal optimization method for watershed management practice scenarios within a simulation–optimization framework. Water Resources Management, 40(7): 281. doi:10.1007/s11269-026-04647-7

> Shen, S., Qin, C.-Z., Zhu, L.-J.*, Zhu, A.-X. 2023. 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. Journal of Environmental Management, 342: 118280. (Source code of the prototype system; See the blog for related presentations)

> Shen, S., Qin, C.-Z., Zhu, L.-J.*, Zhu, A.-X. 2023. Optimizing the implementation plan of watershed best management practices with time-varying effectiveness under stepwise investment. Water Resources Research, 59(6): e2022WR032986. (Source code; See the blog for related presentations)

> Zhu, L.-J., Qin, C.-Z.*, Zhu, A.-X., 2021. Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units. Progress in Physical Geography: Earth and Environment, 45(2): 207–227. (Source code; See the blog for related presentations)

> Zhu, L.-J., Qin, C.-Z.*, Zhu, A.-X., Liu, J., Wu, H., 2019. Effects of different spatial configuration units for the spatial optimization of watershed best management practice scenarios. Water, 11(2): 262. (See the blog for related presentations)

> Qin, C.-Z., Gao, H.-R., Zhu, L.-J.*, Zhu, A.-X., Liu, J.-Z., Wu, H., 2018. Spatial optimization of watershed best management practices based on slope position units. Journal of Soil and Water Conservation, 73(5):504–517. (Source code; See the blog for related presentations)

Terrian analysis

> Zhu, L.-J., Zhu, A.-X., Qin, C.-Z.*, Liu, J.-Z., 2018. Automatic approach for deriving fuzzy slope positions. Geomorphology, 304:173–183. (Source code; See the blog for related courses and presentations)

Chapter and entity

> Qin, C.-Z., Zhu, L.-J., 2020. GDAL/OGR and Geospatial Data IO Libraries. The Geographic Information Science & Technology Body of Knowledge (4th Quarter 2020 Edition), John P. Wilson (Ed.). 

现指导学生

范昕怡  硕士研究生  070503-地图学与地理信息系统  

Algorithms, tools, and prototype systems developed by me and our teams

> SEIMS (Spatially Explicit Integrated Modeling System): a lightweight, modular, and parallelized watershed modeling framework, that focusing on build and perform watershed process models in a plug-and-play way, and conduct scenario optimization of watershed best management practices (BMPs).

> AutoFuzSlpPos (Automatic for Deriving Fuzzy Slope Positions): an automatic approach with only one required input data (i.e., a gridded DEM of the study area) to deriving fuzzy slope positions based on the prototype-based inference method. Core tools have been integrated into the TauDEM_ext.

> PyGeoC (Python for GeoComputation): a common geoscientific computing function library (Python) such as spatial data reading and writing. Support projects such as SEIMS.

> CCGL (Common Cross-platform Geographic-computing Library): a common geoscientific computing function library (C++) such as spatial data reading and writing. Support projects such as SEIMS.

Extended open source projects

> SWAT (Soil & Water Assessment Tool) and SWAT+ (SWATplus): an unofficial code collection from official historical releases and the scientific community. Provide easy-to-use compilation and execution ways (e.g., docker images). 

> TauDEM_ext: Digital terrian analysis tool set TauDEM (Terrain Analysis Using Digital Elevation Models) developed by Professor David Tarboton, with extension tools based on its parallel computing framework.

Links

Source code: Personal GitHub and Team GitHub

Personal blog: https://zhulj.net