
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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· Zhang, L., Zhang*, Y., Li, J., Lian, S., Li, X., Feng, P., Weihermüller, L., 2026b. Integrating deep learning and multi-objective optimization for floodwater utilization: a coordinated surface water-groundwater regulation framework for groundwater recovery. Journal of Hydrology 666, 134749. https://doi.org/10.1016/j.jhydrol.2025.134749
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· Feng, S., Qin, W., Shi, W., Chen, W., Li, Y., Li, X., Zhang*, Y., 2025. 天津市水资源现状分析与多情景演化规律研究 [Analysis of water resources status quo and multi-scenario evolution of Tianjin City]. Water Saving Irrigation (4), 73–80. https://doi.org/10.12396/jsgg.2024383
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· Li, P., Zha*, Y., Zuo, B., Zhang*, Y., 2023. A Family of Soil Water Retention Models Based on Sigmoid Functions. Water Resources Research 59, e2022WR033160. https://doi.org/10.1029/2022WR033160
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· Yan, Z., Wang, Z., Fu, Z., Zhang*, Y., Peng, X., Zheng, J., 2023. Microscale heterogeneity controls macroscopic soil heterotrophic respiration by regulating resource availability and environmental stress. Biogeochemistry 1–19. https://doi.org/10.1007/s10533-023-01044-9
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· Chen, W., Yao, R., Shi, W., Li, Q., Zhao, J., Zhang*, Y., 2023. 基于系统动力学模型的天津市水资源承载力模拟分析 [Simulation analysis of water resources carrying capacity of Tianjin based on system dynamics model]. Journal of Water Resources & Water Engineering 34(2), 42–51. https://doi.org/10.11705/j.issn.1672-643X.2023.02.06
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· Li, Q., Chen, W., Shi, W., Sun, S., Zhang*, Y., 2023. 基于单一和集合土壤转换函数模型对土壤含水量的模拟性能分析 [Performance analysis of simulating soil moisture content based on single and ensemble pedotransfer function]. Soils 55(3), 658–670. https://doi.org/10.13758/j.cnki.tr.2023.03.024
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· Zhang*, Y., Weihermüller, L., Toth, B., Noman, M., Vereecken, H., 2022. Analyzing dual porosity in soil hydraulic properties using soil databases for pedotransfer function development. Vadose Zone Journal 21, e20227. https://doi.org/10.1002/vzj2.20227
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· Shi, W., Li, Q., Han, Q., Wang, T., Chen, X., Zhang*, Y., 2020. 基于不同优化算法的土壤水分特征曲线模型模拟性能分析 [Performance analysis of soil water retention curve models based on different fitting optimization algorithms]. Journal of Water Resources & Water Engineering 31(4), 157–165. https://doi.org/10.11705/j.issn.1672-643X.2020.04.23
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· Dai*, Y., Xin*, Q., Wei*, N., Zhang*, Y., Shangguan, W., Yuan, H., Zhang, S., Liu, S., Lu, X., 2019. A global high‐resolution data set of soil hydraulic and thermal properties for land surface modeling. Journal of Advances in Modeling Earth Systems 11, 2996–3023. https://doi.org/10.1029/2019MS001784
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· Zhang*, Y., Schaap*, M.G., 2019. Estimation of saturated hydraulic conductivity with pedotransfer functions: A review. Journal of Hydrology 575, 1011–1030. https://doi.org/10.1016/j.jhydrol.2019.05.058