张永根
- 教师拼音名称：Zhang Yonggen
- 性别：男
- 职称：副教授
- 所属院系：地球系统科学学院
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· Li, L., Dai*, Y., Wei, Z., Shangguan, W., Zhang, Y., Wei, N., Li, Q., 2024b. Enforcing Water Balance in Multitask Deep Learning Models for Hydrological Forecasting. Journal of Hydrometeorology 25, 89–103. https://doi.org/10.1175/JHM-D-23-0073.1
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· Li, P., Zha*, Y., Zhang, Y., Michael Tso, C.-H., Attinger, S., Samaniego, L., Peng, J., 2024. Deep learning integrating scale conversion and pedo-transfer function to avoid potential errors in cross-scale transfer. Water Resources Research 60, e2023WR035543. https://doi.org/10.1029/2023WR035543
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· Schaap*, M.G., Zhang, Y., Rasmussen, C., 2024. Soil hydraulic property maps for the contiguous united states at 100‐m resolution and seven depths: Code design and preliminary results. Vadose Zone Journal 23, e20377. https://doi.org/10.1002/vzj2.20377
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· Weber*, T.K.D., Weihermüller, L., Nemes, A., ..., Zhang, Y., et al., 2024. Hydro-pedotransfer functions: A roadmap for future development. Hydrology and Earth System Sciences 28, 3391–3433. https://doi.org/10.5194/hess-28-3391-2024
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· Wu, L., Wang, P., Zhang, Q., ..., Zhang, Yonggen, et al., 2024. Dominant contribution of combustion-related ammonium during haze pollution in Beijing. Science Bulletin 69, 978–987. https://doi.org/10.1016/j.scib.2024.01.002
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· Xu, Q., Liang, H., Wei*, Z., Zhang, Y., Lu, X., Li, F., Wei, N., Zhang, S., Yuan, H., Liu, S., Dai, Y., 2024. Assessing climate change impacts on crop yields and exploring adaptation strategies in northeast China. Earth’s Future 12, e2023EF004063. https://doi.org/10.1029/2023EF004063
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· Zhao, J., Chen*, W., Liu, Z., Liu, W., Li, K., Zhang, B., Zhang, Y., Yu, L., Sakai, T., 2024. Urban expansion, economic development, and carbon emissions: trends, patterns, and decoupling in mainland china’s provincial capitals (1985–2020). Ecological Indicators 169, 112777. https://doi.org/10.1016/j.ecolind.2024.112777
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· Chen, H., Wang*, T., Zhang, Y., Bai, Y., Chen, X., 2023. Dynamically weighted ensemble of geoscientific models via automated machine-learning-based classification. Geoscientific Model Development 16, 5685–5701. https://doi.org/10.5194/gmd-16-5685-2023
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· Shao, W., Chen, S., Li, M., Su, Y., Ni, J., Dong, J., Zhang, Y., Yang*, Z., 2023a. Reducing uncertainties in hydromechanical modeling with a recently developed rosetta 3 podeotransfer function. Engineering Geology 324, 107250. https://doi.org/10.1016/j.enggeo.2023.107250
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· Shao*, W., Chen, S., Su, Y., Dong, J., Ni, J., Yang, Z., Zhang, Y., 2023b. Reduce uncertainty in soil hydrological modeling: a comparison of soil hydraulic parameters generated by random sampling and pedotransfer function. Journal of Hydrology 623, 129740. https://doi.org/10.1016/j.jhydrol.2023.129740
