Dr. Lin Zhu is Professor at College of Resource Environment and Tourism, Capital Normal University, Beijing, China. She received the Hydrology and Water Resource Ph.D degree in 2007 at the Jilin University, China. Her research activities are mainly concerned with identifying the different correspondence of land subsidence due to over pumping of groundwater, increased building loading, underground utilization, fault activation, stochastic modelling and risk analysis of land subsidence and earth fissuring in Beijing Plain and Jing-Jin-Ji Plain, where is the largest subsidence funnel and the largest groundwater depression cone in the world. Some of her research outputs has served Beijing Geology Survey. She has been involved in research projects related with land subsidence funded by the National Science Foundation of China (NSFC), Beijing Municipal Science & Technology Commission, Beijing Institute of Hydrogeology and Engineering Geology.
- Lin Zhu, Andrea Franceschini, Huili Gong, Massimiliano Ferronato, Zhenxue Dai et al., The 3‐D facies and geomechanical modeling of land subsidence in the Chaobai Plain, Beijing. Water Resources Research, 2020, 56(3). 10.1029/2019WR027026
- Lin Zhu, Huili Gong, Zhenxue Dai, Gaoxuan Guo, Pietro Teatini. Modeling 3-D permeability distribution in alluvial fans using facies architecture and geophysical acquisitions. Hydrology and Earth System Sciences, 2017, 21: 721-733.
- Lin Zhu, Zhenxue Dai, Huili Gong, Carl Gable, Pietro Teatini. Statistic inversion of multi-zone transition probability models for aquifer characterization in alluvial fans. Stochastic Environmental Research and Risk Assessment. 2016, 30(3): 1005-1016.
- Lin Zhu, Huili Gong, Xiaojuan Li, Rong Wang, Beibei Chen, Zhenxue Dai, Pietro Teatini. Land subsidence due to groundwater withdrawal in the northern Beijing plain, China. Engineering Geology. 2015, 193: 243-255.
- Lin Zhu, Huili Gong, Xiaojuan Li, Yongyong Li, Xiaosi Su, Gaoxuan Guo. Comprehensive analysis and artificial intelligent simulation of land subsidence of Beijing, China. Chinese Geographical Science. 2013, 23(2): 237-248.