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The evaporation intensity was changed by simulating light and blowing wind. Comparing the characteristics of moistube irrigation infiltration rate and wetting body changes under four different evaporation conditions (CK, Light (L), Wind (W), Light+Wind (LW)), it was found that the cumulative infiltration of moistube irrigation at room temperature was significantly linearly correlated with time (coefficient of determination R2>0.99), which was consistent with the infiltration law of the horizontal absorption term of the Philip infiltration model. The infiltration rate of moistube outflow showed an initial sudden increase and then linear decrease with time due to the penetration of infiltration through the wall of porous medium and infiltration of soil water around the tube respectively. The evaporation of each treatment was increased significantly after changing the upper boundary conditions. However, the infiltration rate was increased only with the increase of temperature as the infiltration rate even decreased when the wind carried away the heat from the soil surface. During the light period, the infiltration rates of L and LW treatments were increased by 56.56% and 29.51%, respectively. After the withdrawal of light for 2h, the evaporation intensity of LW treatment remained unchanged, and the infiltration rate plummeted by 5.90%, which revealed that the sensitivity of moistube irrigation to temperature response was much higher than that of evaporation at the upper boundary. The transport distance of wetting fronts showed a significant power function relationship with time and the increase of infiltration rate after the temperature increase promoted the transport of wetting fronts, which was driven by both temperature difference and gravitational potential in the direction of moving away from the heat source. Compared with the prediction, the horizontal migration distance Dhoriz and vertical downward migration distance Ddown in the light treatment were increased by 75.81% and 99.30%, respectively. The research result can provide theoretical basis for the design of smart regulation model of moistube irrigation based on meteorological data, crop water demand and moisture conditions.