Blackland scientists are developing new technologies and management strategies to improve water, soil, and other natural resources on agricultural, urban, and military lands in central Texas and around the world. The EPIC (Erosion Productivity Impact Calculator, APEX (Agricultural Policy Environment Extender), SWAT (Soil and Water Assessment Tool), and PHYGROW (for a forage production-run-off) models are deployed world-wide as people seek to: increase agriculture production and water supply; improve the environment and the economic well-being of people; and increase the sustainability of land.
Dr. Yen has interests in watershed modeling; point and nonpoint sources pollution control/simulation; traditional and heuristic optimization techniques; sensitivity & uncertainty analysis; water resources planning & management; reservoir operation rules development & real-time flood control operation; and data management. Dr. Yen developed the Integrated Parameter Estimation and Uncertainty Analysis Tool (IPEAT) to incorporate uncertainty sources from system parameters, forcing inputs, measured data and model structure. IPEAT has been implemented to large-scale national projects such as the USDA funded Conservation Effects Assessment Project (CEAP), and the EPA funded Hydrologic And Water Quality System (HAWQS). At the Blackland Research and Extension Center, Texas A&M University, he designs and develops watershed simulations to mitigate environmental and ecological impacts for the original and the new version of the Soil and Water Assessment Tool (SWAT and SWAT+) as well as participating in SWAT training seminars and workshops dealing with new technology. In addition, he is supporting the automated systems for the Agricultural Policy/Environmental eXtender (APEX) such as the APEX autocalibration tool (APEX-CUTE). Dr. Yen is a member of the American Society of Civil Engineers (ASCE) and the American Geophysical Union (AGU). Dr. Yen is also actively serving multiple associate editor positions in internationally recognized journals such as Limnology [Springer, ISSN: 1439-8621] and Arabian Journal of Geosciences [Springer, ISSN: 1866-7511].