毛管入口流量估算方法与验证

为便捷估算特定压力下的毛管入口流量值，选择了毛管长度、毛管铺设坡度、毛管管径、滴头间距、流量系数和流态指数等6个影响因素，采用计算机模拟计算和实测验证相结合的方法，确定了毛管入口流量估算模型和参数估算方法。结果表明，毛管长度、毛管铺设坡度、滴头间距和流量系数显著影响毛管入口流量系数a，毛管铺设坡度和流态指数显著影响毛管入口流量系数b；确定了系数a和b的计算式，与退步法计算结果比较，平均相对误差分别为2.30%和0.70%；当毛管入口工作水头分别为4、6 m和8 m时，毛管入口流量估算模型计算结果与实测值的平均相对误差为3.79%，精度较高，在微灌系统设计中，可以采用本文建立的模型估算毛管入口流量。

Capillary inlet flow estimation method and its verification

In order to conveniently estimate the capillary inlet flow rate at a given pressure, we selected six factors including capillary length, capillary slope, capillary diameter, dripper spacing, flow coefficient, and flow index to determine the capillary inlet flow estimation model and parameter estimation method by using computer simulation and experimental verification. The results showed that the capillary length, capillary slope, dripper spacing, and flow coefficient significantly affected the capillary flow coefficient a; the capillary slope and flow index significantly affected the capillary flow coefficient b. Thus, the calculation equations of coefficients a and b were determined. Comparing the results of the regression method, the average relative errors were 2.30% and 0.70%, respectively. When the capillary inlet working head were 4, 6, and 8m, the average relative error between the calculated and measured values of the capillary inlet flow estimation model was 3.79% and the precision was high. In the design of the micro-irrigation system, the capillary inlet flow estimation model in this study can be used to estimate the capillary inlet flow.