• 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 Mar. 2024, totally 16 peer-reviewed journal articles (including 8 SCI/SSCI-indexed papers) as a first author or a corresponding author (*), 15 peer-reviewed journal articles (including 7 SCI/SSCI-indexed papers) as co-author have been published. These papers are published on 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., 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

> 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

> 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.). 

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