SWAT-IRR: A new irrigation algorithm for soil and water Assessment tool to facilitate water management and Conservation in irrigated regions

作者：Zaichen Xiang, Daniel N. Moriasi, Maryam Samimi, Ali Mirchi, Saleh Taghvaeian, Jean L. Steiner, J. Alan Verser, Patrick J. Starks · 发表于：Computers and Electronics in Agriculture · 年份：2025 · DOI：10.1016/j.compag.2025.110142 · 被引用次数：8 · 研究领域：Hydrology and Watershed Management Studies、Water resources management and optimization、Irrigation Practices and Water Management

• SWAT-IRR offers improved control and representation of irrigation simulation. • SWAT-IRR enables the simulation of surface, sprinkler, and drip irrigation systems. • Users can apply the curve number approach to compute irrigation surface runoff. • A Python-based input processing tool facilitates SWAT-IRR application. • The utility of SWAT-IRR is showcased through an application in central Oklahoma. Accurate simulation of irrigation is key for effective water resources planning and management across various scales. This paper presents SWAT-IRR, a new irrigation algorithm for the Soil and Water Assessment Tool (SWAT) model, designed to enhance the simulation of how different irrigation systems and schedules influence hydrologic fluxes in irrigated agricultural areas. SWAT-IRR enables explicit simulation of three irrigation systems (surface, sprinkler, and drip) parameterized using irrigation application efficiency, conveyance efficiency, surface runoff ratio, and an additional area adjustment factor parameter for drip irrigation. SWAT-IRR offers three simulation options to accommodate varying user needs. Option 0 is the original SWAT model irrigation algorithm. Option 1 addresses the original SWAT model’s limitation by improving control of irrigation simulation during growing seasons. Option 2 builds on Option 1 by integrating a new irrigation algorithm to advance the representation of irrigation processes and their associated impacts on hydrologic fluxes. Option 3 further st...