个人简历
王云权,博士,副研究员。主要从事不同空间尺度下包气带和地下饱水带水分、污染物迁移机理和模型开发的工作。在全水分土壤水力模型开发、土壤水力参数转化函数开发和土壤蒸发理论等方面取得了一系列原创成果。特别是开发了能够同时表征土壤结构、毛细和吸附作用的土壤水力参数模型,解决了传统模型不能描述干、湿端水力特征的缺点(目前模型已更新到第三版)。相关成果主要发表于水文领域top期刊《Water Resources Research》和《Journal of Hydrology》。当前的研究兴趣包括土壤污染物运移模拟;深度学习和物理模型结合;包气带-地下水耦合模型开发以及基于陆面模型的大尺度水、热、碳运移转换过程研究。担任美国土壤学会旗下著名刊物《Vadose zone Journal》副主编(2024-),中国自然资源学会干旱半干旱区水资源研究专业委员会委员(2023-)。
担任《Water Resources Research》、《Advances in Water Resources》、《Earth Systerm Science Data》、《Journal of Hydrology》、《Vadose zone Journal》、《Transport in Porous Media》、《Sciences of Total Enviroment》等期刊审稿人。
承担或参与的科研与教学项目
1. 国家自然科学基金面上项目,“综合毛管、吸附作用下的土壤水分运移机制与模拟研究”(2021.1-2024.12),主持
2. 国家自然科学地质联合基金重点项目,“北方农牧交错带生态退化的地质-生态-水文耦合机制与生态承载力阈值识别”(2023.1-2026.12),主要参与人
3. 生态环保部规划院委托项目,“彭泽县矶山工业园地下水修复管控项目(地下水环境现状详细调查与污染模拟预测)”(2023.1-2023.12),主持
4. 国家自然科学基金青年基金项目“水分限制条件下的土壤水分运移过程及蒸散发研究”,2017/01-2019/12,主持
5. 中央高校摇篮计划“基于土壤水分运移过程的蒸散发研究”,2018/01-2020/12,主持
6. 宁夏回族自治区国土资源调查监测院委托项目,银川平原、卫宁平原水资源环境潜力评价研究,2019-2020,主持
7. 国家自然科学面上基金,“地下水补给区与排泄区潜流带氮迁移转化的对比研究”,(41672246),2017/01-2020/12,参加
8. 国家自然科学面上基金,41571016,“干旱区灌丛生态系统蒸散发的生物、物理控制机制与模型研究”,2016/1-2019/12,参加。
代表性论文
1. Wang, Y*. (2024). Prediction of the weighted-mean soil water diffusivity in supporting the falling rate stage of evaporation. Advances in Water Resources, 104657.
2. Wang, Y*., Ma, R., & Zhu, G. (2023). Representation of the influence of soil structure on hydraulic conductivity prediction. Journal of Hydrology, 619, 129330.
3. 魏涛, & 王云权*. (2023). 基于 PML-V2 数据集的中国蒸散发时空动态特征分析. 干旱区地理, 46(6), 857-867.
4. Wang, Y*., Zhou, J., Ma, R., Zhu, G., & Zhang, Y. (2022). Development of a New Pedotransfer Function Addressing Limitations in Soil Hydraulic Models and Observations. Water Resources Research, 58(6), e2021WR031406.
5. Wang, Y*., Ma, R., & Zhu, G. (2022). Improved Prediction of Hydraulic Conductivity With a Soil Water Retention Curve That Accounts for Both Capillary and Adsorption Forces. Water Resources Research, 58(4), e2021WR031297.
6. Wang , Y*., Merlin, O., Zhu, G., & Zhang, K. (2019). A physically based method for soil evaporation estimation by revisiting the soil drying process. Water Resources Research. doi:10.1029/2019wr025003。
7. Wang , Y*., M. J, and Z. Deng, (2018), Alternative model for predicting soil hydraulic conductivity over the complete moisture range, Water Resources Research., DOI:10.1029/2018WR023037.
8. Wang, Y*., J. Ma, H. Guan, and G. Zhu, (2017), Determination of the saturated film conductivity to improve the EMFX model in describing the soil hydraulic properties over the entire moisture range, Journal of Hydrology, 549, 38-49.
9. Wang, Y*., J. Ma, and H. Guan, (2016). A mathematically continuous model for describing the hydraulic properties of unsaturated porous media over the entire range of matric suctions, Journal of Hydrology, 541, 873-888.
10. Wang, Y., J. Ma*, Y. Zhang, M. Zhao, and W. M. Edmunds (2013), A new theoretical model accounting for film flow in unsaturated porous media, Water Resources Research., 49, doi:10.1002/wrcr.20390.
11. Qiao, S., Ma, R., Sun, Z., Wang, Y., & Hu, S. (2023). A new model for simulating root water uptake by vegetation under the impact of a dynamic groundwater table in arid regions. Hydrological Processes, 37(8), e14972.
12. Su, M., Ma, R., Wang, Y., Sun, Z., Yin, M., & Ge, M. (2023). Tracing the soil water flux in variably saturated zones using temperature data. Water Resources Research, 59(5), e2022WR033677.
13. Zhu, G., Wang, X., Xiao, J., Zhang, K., Wang, Y., He, H., ... & Chen, H. (2022). Daytime and nighttime warming has no opposite effects on vegetation phenology and productivity in the northern hemisphere. Science of the Total Environment, 822, 153386.
14. Zhu, G., Zhang, K., Chen, H., Wang, Y., Su, Y., Zhang, Y., & Ma, J. (2019). Development and evaluation of a simple hydrologically based model for terrestrial evapotranspiration simulations. Journal of Hydrology, 123928. doi:10.1016/j.jhydrol.2019.123928
15. Su, Y., Feng, Q., Zhu, G., Gu, C., Wang, Y., Shang, S., … Ma, J. (2018). A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model. Hydrological Processes. doi:10.1002/hyp.13298
16. Gu, C., Ma, J., Zhu, G., Yang, H., Zhang, K., Wang, Y., & Gu, C. (2018). Partitioning evapotranspiration using an optimized satellite-based ET model across biomes. Agricultural and Forest Meteorology, 259, 355-363.
17. Zhu, G., Li, X., Ma, J., Wang, Y., Liu, S., Huang, C., ... & Hu, X. (2018). A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters. Advances in Water Resources, 114, 164-179.
18. Deng, Z., Guan, H., Hutson, J., Forster, M. A., Wang, Y., & Simmons, C. T. (2017). A vegetation‐focused soil‐plant‐atmospheric continuum model to study hydrodynamic soil‐plant water relations. Water Resources Research, 53(6), 4965-4983.
19. Pan, F., Ma, J., Wang, Y., Zhang, Y., Chen, L., & Edmunds, W. M. (2013). Simulation of the migration and transformation of petroleum pollutants in the soils of the Loess plateau: a case study in the Maling oil field of northwestern China. Environmental monitoring and assessment, 185(10), 8023-8034.
20. Ma, J., Wang, Y., Zhao, Y., Jin, X., Ning, N., Edmunds, W. M., & Zhou, X. (2012). Spatial distribution of chloride and nitrate within an unsaturated dune sand of a cold-arid desert: Implications for paleoenvironmental records. Catena, 96, 68-75.
21. Ma, J., Zhang, P., Zhu, G., Wang, Y., Edmunds, W. M., Ding, Z., & He, J. (2012). The composition and distribution of chemicals and isotopes in precipitation in the Shiyang River system, northwestern China. Journal of Hydrology, 436, 92-101.
教育经历
[1] 2004.9-2008.7
兰州大学 | 自然地理学 | 学士学位 | 本科(学士)
[2] 2008.9-2011.7
兰州大学 | 自然地理学 | 硕士学位 | 硕士研究生
[3] 2013.11-2014.11
Flinders University
联合培养
[4] 2011.9-2015.7
兰州大学 | 自然地理学 | 博士 | 博士研究生
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