Dr. Sheng-Wei Wang

Personal Information

Brief Profile

I am a Professor at National Central University, Taiwan, with research interests primarily focused on agricultural water resources management, groundwater resources, and sustainable water use. My research integrates hydrological and hydrogeological analysis, numerical modeling, and data-driven approaches to investigate the interactions among groundwater abstraction, irrigation water demand, climate variability, and agricultural production. I am particularly interested in developing practical strategies for sustainable groundwater management, agricultural water-use efficiency, and climate-resilient irrigation systems.

My previous research has addressed agricultural groundwater management, irrigation water quality, groundwater recharge, climate-change impacts on water resources, and the application of machine learning to groundwater-level prediction and pumping management. I have also been involved in interdisciplinary studies linking water resources, food production, environmental sustainability, and socio-economic considerations. My long-term research goal is to support the development of resilient and sustainable agricultural water management systems through the integration of field observations, physical models, and artificial intelligence.

Publications

1. Wang, S.-W., Kimura, M., Wunsch, A., Chen, Y.-Y., Chen, W.-C., 2026. Interpretable machine learning for groundwater-level prediction incorporating pumping-well power consumption. Applied Water Science 16:241. https://doi.org/10.1007/s13201-026-02935-6
2. Wang, S.-W., Chen, Y.-Y., Hsu, S.-H., Kao, Y.-H., Kimura, M., Chang, L., Pan, T.-W., Ni, C.-F., 2025. A case study on the application of a data-driven (XGBoost) approach on the environmental and socio-economic perspectives of agricultural groundwater management. Agricultural Water Management 318, 109729. https://doi.org/10.1016/j.agwat.2025.109729
3. Wang, S.-W., Fan, C. Challenges of Water Quality Management for Agricultural Development. Water 2023, 15 (10), 1816. https://doi.org/10.3390/w15101816
4. Suk, H.; Zheng, K.-W.; Liao, Z.-Y.; Liang, C.-P.; Wang, S.-W.; Chen, J.-S. A New Analytical Model for Transport of Multiple Contaminants Considering Remediation of Both NAPL Source and Downgradient Contaminant Plume in Groundwater. Advances in Water Resources 2022, 167, 104290. https://doi.org/10.1016/j.advwatres.2022.104290.
5. Wang, S.-W.; Pan, S.-Y.; Kao, Y.-H.; Kim, H.; Fan, C. Evaluation of the Dual-Process Approach for in-Situ Groundwater Arsenic Removal. Environmental Technology 2022, 0 (0), 1–15. https://doi.org/10.1080/09593330.2022.2100283.
6. Chang, T.; Wang, K.; Wang, S.; Hsu, C.; Hsu, C. Evaluation of the Groundwater and Irrigation Quality in the Zhuoshui River Alluvial Fan between Wet and Dry Seasons. Water 2022, 14 (9), 1494. https://doi.org/10.3390/w14091494.
7. Liang, C.-P.; Sun, C.-C.; Suk, H.; Wang, S.-W.; Chen, J.-S. A Machine Learning Approach for Spatial Mapping of the Health Risk Associated with Arsenic-Contaminated Groundwater in Taiwan’s Lanyang Plain. IJERPH 2021, 18 (21), 11385. https://doi.org/10.3390/ijerph182111385.
8. Pan, S.-Y.; Tsai, C.-Y.; Liu, C.-W.; Wang, S.-W.; Kim, H.; Fan, C. Anaerobic Co-Digestion of Agricultural Wastes toward Circular Bioeconomy. iScience 2021, 24 (7), 102704. https://doi.org/10.1016/j.isci.2021.102704.
9. Chen, C.-Y.; Wang, S.-W.; Kim, H.; Pan, S.-Y.; Fan, C.; Lin, Y. J. Non-Conventional Water Reuse in Agriculture: A Circular Water Economy. Water Research 2021, 199, 117193. https://doi.org/10.1016/j.watres.2021.117193.