基本信息：

姓名：宋震

职称：助理研究员

研究方向：水文地球物理学、多尺度条件下地下水数值模拟、土壤与地下水污染防治。

个人简介：

2020年毕业于南京大学，获水文学及水资源专业工学博士学位，主要从事基于高密度电阻率成像法的低渗透裂隙介质中地下水迁移转化机理、水力参数反演及微观尺度流体运移模拟等研究工作。主持国家自然科学青年基金1项，主持国家重点研发计划子课题1项。作为骨干参加国家基金面上项目、国家重点研发计划、江苏省自然科学青年基金项目等科研项目4项。发表学术论文8篇，获国家发明专利授权6项。

近期代表论著：

Xie, W., Wang, J., Song, Z., Chen, Y., & Lyu, X. (2025). Effects of nano- and microplastic particles (NMPs) on the transport of PFOA in natural sediment. Water, Air, & Soil Pollution, 236(14), 936. https://doi.org/10.1007/s11270-025-08616-5

Mi, N., Lu, Y., Song, Z., Sheng, F., Chen, Y., Chen, Z., et al. (2025). Leaching of heavy metals from farmland soil in China: The status and ecological risk assessment. Agronomy, 15(9), 2126. https://doi.org/10.3390/agronomy15092126

Gao, H., Gao, S., Wang, L., Song, Z., Qu, X., Wang, M., et al. (2025). Unveiling molecular transformations and mechanisms of soil organic matter during thermal remediation across temperatures. Chemical Engineering Journal, 523, 168388. https://doi.org/10.1016/j.cej.2025.168388

Chen, M., Li, Y., Zhang, Y., Ji, W., Lu, Y., Song, Z., et al. (2025). Unstable geogenic arsenic in reclaimed coastal soils poses environmental risks. Communications Earth & Environment, 6(1), 633. https://doi.org/10.1038/s43247-025-02634-1

Chen, Y., Jiang, D., Song, Z., Wei, J., Cao, S., Li, X., et al. (2023). Reducing the risk of missing soil contamination by integrating multi-investigated methods in a retired chrome salt factory. Journal of Environmental Chemical Engineering, 11(6), 111261. https://doi.org/10.1016/j.jece.2023.111261

Song, Z., Zhou, Q.-Y., Lu, D.-B., & Xue, S. (2022). Application of Electrical Resistivity Tomography for Investigating the Internal Structure and Estimating the Hydraulic Conductivity of In Situ Single Fractures. Pure and Applied Geophysics, 179(4), 1253–1273. https://doi.org/10.1007/s00024-022-02972-7

Xue, S., Wang, C., Wu, Y., Zhou, Q., Song, Z., & Wu, Y. (2021). Revised zoning method for environmental fragility evaluation to desertification in arid–semiarid areas: A case of dousitu river basin. Environmental Earth Sciences, 80(17), 541. https://doi.org/10.1007/s12665-021-09819-9

Song, Z., & Zhou, Q. Y. (2019). Micro-scale granite permeability estimation based on digital image analysis. Journal of Petroleum Science and Engineering, 180, 176–185. https://doi.org/10.1016/j.petrol.2019.05.037

联系方式：

Email：songzhen@nies.org