Abstract: Abstract: Border irrigation, a method of plant irrigation, is widely used in China because of its low cost and energy consumption. Water scarcity and the high consumption of water resources in agriculture can lead to the low irrigation performance which has strengthened the need to manage and optimize irrigation systems. Moreover, border irrigation performance can be affected by factors such as soil infiltration parameter, Manning roughness and micro topography of field. These factors were spatial variable, which causes difficulties in design and management of the border irrigation system. Based on the field experiments, the objectives of this study were to propose three functions for estimation of border irrigation performance indicators (application efficiency, uniformity distribution and storage efficiency) under the closed-end condition of the border, by employing the method of dimensional analysis and numerical simulation with the WinSRFR software. The independent irrigation variables are inflow charge per width q, cut-off time t, Manning roughness n, infiltration parameter k, infiltration index a, border length L, filed slope S0 and the required water depth Zr effective on the indicators of irrigation application efficiency Ea and storage efficiency Es. While for the uniform distribution DU, the independent irrigation variables of function are inflow charge per width q, cut-off time t, Manning roughness n, infiltration parameter k, infiltration index a, border length L and filed slope S0. The proposed functions were used to estimate irrigation performance of the different combinations of border irrigation technique elements, and the results showed that the estimated values of irrigation performance agreed well with the simulated values with the zero inertia. The average absolute errors between the estimated values of irrigation performance and the simulated values were 6.72%, 6.57%, and 4.93%, and the determination coefficient R2 were 0.987, 0.969, and 0.990, respectively. The significance test of difference between the estimated values of irrigation performance and the simulated values had been conducted using SPSS software (P=0.05), the significance indexes of the estimated and simulated values of the irrigation application efficiency Ea, uniform distribution DU and storage efficiency Es were 0.226, 0.142, and 0.271, respectively. The results showed no significant difference between the estimated values and the simulated values of irrigation performance. The reliability of the functions proposed here was verified based on basic parameters of border irrigation. The results showed the estimated values of irrigation application efficiency Ea, uniform distribution DU and storage efficiency Es with the proposed functions of this paper were in excellent agreement with the measured values, and the average absolute errors between the estimated values and the measured values of irrigation performance were 7.76%, 9.15%, and 7.08%, respectively. Therefore, three functions proposed here for estimation of border irrigation performance indicators were highly reliable and universal.