SEIMS: 模块化、并行化的流域建模框架

编译状态

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.
Liu, Junzhi, Liu, Jiaojiao, Liu, M., Tian, S., Liu, Y., Yang, W., Liu, Y., 2025. Development of an alpine hydrological model considering the recharge of stream water to alluvial plain aquifers. Environmental Modelling & Software 192, 106567.
Liu, Junzhi, Liu, Jiaojiao, Zhang, B., Xu, J., Wang, H., Zheng, X., Liu, C., Guo, Z., Ma, J., Xiao, D., Long, P., Lianghao, Z., Liu, Y., Yang, W., 2025. WISE: A spatially explicit carbon cycling model at the watershed scale. Information Geography 1(1), 100010.
Zhu, L.-J., Liu, J., Qin, C.-Z., Zhu, A-X., 2019. A modular and parallelized watershed modeling framework. Environmental Modelling & Software 122, 104526.
Liu, J., Zhu, A-X., Qin, C.-Z., Wu, H., Jiang, J., 2016. A two-level parallelization method for distributed hydrological models. Environmental Modelling & Software 80: 175–184.
Liu, J., Zhu, A-X., Liu, Y., Zhu, T., Qin, C.-Z., 2014. A layered approach to parallel computing for spatially distributed hydrological modeling. Environmental Modelling & Software 51: 221–227.
Liu, J., Zhu, A-X., Qin, C.-Z., 2013. Estimation of theoretical maximum speedup ratio for parallel computing of grid-based distributed hydrological models. Computers & Geosciences 60: 58–62.

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 Resource Management.
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.
Zhu, L.-J., Qin, C.-Z., and 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.
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.
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.
Wu, H., Zhu, A-X., Liu, J., Liu, Y., Jiang, J., 2018. Best Management Practices Optimization at Watershed Scale: Incorporating Spatial Topology among Fields. Water Resource Management 32: 155–177.

Liu, J., Zhang, B., Que, Y., Xu, J., Hou, W., Yang, W., 2026. RiverLakeBasins: a global dataset of nested river-watersheds and lake-hillslopes. International Journal of Geographical Information Science.
Liu, J., Fang, P., Que, Y., Zhu, L.-J., Duan, Z., Tang, G., Liu, P., Ji, M., Liu, Y., 2022. A dataset of lake-catchment characteristics for the Tibetan Plateau. Earth System Science Data 14(8): 3791–3805.