Abstract: The application conditions of moisture diagnostic models were analyzed. These conditions include climate zoning, distance from monitoring site to meteorological station, soil texture, monitoring time, cropping system, crop type, and model parameters. The results showed that six independent diagnostic models (i.e., balance diagnostic model, statistical diagnostic model, subtractive statistical diagnostic model, ratio statistical diagnostic model, interval days statistical diagnostic model, movable statistical diagnostic model) and integrated diagnostic model had universal adaptability. The external reason of the models’ universal applicability was that these models considered only three independent variables (soil water content, period precipitation, and interval days of two monitoring times of soil moisture); the inherent reason for the general applicability of models was that modeling and determining parameters were based on monitoring sites. The average annual precipitation was one of the major factors affecting the qualified rate of model prediction; the smaller the value was, the higher the qualified rate was. In conclusion, the applications of the six independent diagnostic models and the integrated diagnostic model were not affected by underlying surface factors, and these models included three independent variables.

Key words: sponge city, low impact development., landscape pattern optimization, storm water management model