Lecturer, Fuzhou University, China
Dr. Chuan-An Xia is a Lecturer at the Zijin School of Geology and Mining, Fuzhou University, China. With a rich academic journey, he holds a Doctoral Degree in Geology from China University of Geosciences (Beijing), a Master’s in Environmental Engineering, and a Bachelor’s from Chengdu University of Technology. Dr. Xia’s expertise extends to groundwater flow modeling, data assimilation, and hydrology, with extensive research experience gained from postdoctoral fellowships and visiting positions in Italy. He is a distinguished researcher, highly regarded for his contributions to both international and Chinese journals. 🌍📚
Publication Profile
Scopus
Education
Dr. Xia obtained his Doctoral Degree in Geology from China University of Geosciences (Beijing) in 2019. He also completed his Bachelor’s in Environmental Engineering from Chengdu University of Technology in 2013, and has had enriching research stints at Politecnico di Milano, Italy, further strengthening his academic profile. 🎓📖
Experience
Dr. Xia currently serves as a Lecturer at Fuzhou University, a position he assumed in 2023. He has held prestigious roles, including Postdoctoral Fellow at Jinan University and Visiting Researcher at Politecnico di Milano. He has also contributed to various global research initiatives in groundwater flow, hydrological modeling, and data assimilation. His work has been recognized in both academic and professional spheres. 🏫🌐
Awards and Honors
Dr. Xia’s work has been highly recognized, earning him the First Prize for Excellent Scientific Research from China University of Geosciences (Beijing) in 2018, the International Excellent Young Researcher award in 2019 from Guangdong Province, and the Qishan Scholar title at Fuzhou University in 2023. His excellence in research has also been acknowledged through awards like the Outstanding Article award from Frontier, Switzerland in 2022. 🏆🥇
Research Focus
Dr. Xia’s research focuses on hydrology, groundwater flow modeling, and data assimilation using stochastic moment equations. His work in the field of environmental engineering, particularly in solving groundwater-related challenges, is aimed at improving the understanding and management of water resources. His innovative contributions include reduced-order Monte Carlo simulations and the development of frameworks for effective rainfall and slope stability analysis. 🌊💡
Conclusion
With a robust academic and research career, Dr. Xia has made significant contributions to the fields of groundwater hydrology, data assimilation, and environmental engineering. His work continues to inspire global advancements in water resources management, and he is a leading figure in environmental science research at Fuzhou University. 🌍🔬
Publications
Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions. Water, 2025, 17(2): 141. DOI: 10.3390/w17020141 (SCI)
Reduced-order Monte Carlo simulation framework for groundwater flow in randomly heterogeneous composite transmissivity fields. Journal of Hydrology, 2024. (SCI, TOP)
Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization. Journal of Hydrology, 2024: 131054. (SCI, TOP)
Spatio-temporal Variation Characteristics of Extreme Climate Events and Their Teleconnections to Large-scale Ocean-atmospheric Circulation Patterns in Huaihe River Basin, China During 1959–2019. Chinese Geographic Science, 2023, 24, 118-134. (SCI)
Continuous Hyper-parameter Optimization (CHOP) in an ensemble Kalman filter. Frontiers in Applied Mathematics and Statistics, 2022. DOI: 10.3389/fams.2022.1021551
A voxel-based three-dimensional framework for flash drought identification in space and time. Journal of Hydrology, 2022. (SCI, TOP)
Assessing the responses of hydrological drought to meteorological drought in the Huai River Basin, China. Theoretical and Applied Climatology, 2021. DOI: 10.1007/s00704-021-03567-3 (SCI)
Data assimilation with multiple types of observation boreholes via ensemble Kalman filter embedded within stochastic moment equations. Hydrology and Earth System Sciences, 2021. DOI: 10.5194/hess-25-1689-2021 (SCI, TOP)