Advances in Soil Moisture Simulation and Forecasting Models
Songhao Shang · Shenyang Nongye Daxue xuebao · 2004
Soil moisture forecast is the forecast of increment and depletion of field soil moisture based on soil water simulation models. It is the basis for irrigation forecasting and is important for the rational regulation of field water. The variation of soil moisture can be predicted with deterministic models or stochastic models. Deterministic models include soil water balance model, model of water transfer in soil-plant-atmosphere continuum (SPAC), model of simultaneous water and heat transfer in SPAC, etc. Stochastic models include statistical model (regression model, time series analysis model, artificial neural network model etc.), stochastic soil water balance model and stochastic soil water dynamics model etc. Main models for soil moisture simulation and forecast were compared, and the prospect was presented.