Abstract: Taken spring maize in Northeast China as the research object, based on the experimental data of Jinzhou Agroecological Observation Station from 2018 to 2021, parameters of CERES-Maize crop growth model were calibrated and verified.The effects of irrigation and nitrogen management on yield, water use efficiency and economic income of spring maize in different precipitation years (normal, dry and wet years) were simulated to find the optimal water and nitrogen management scheme for spring maize in Northeast China under different precipitation years and production targets.The results show that the normalized root mean square error of CERES-Maize model in simulating the growth period and yield of spring maize is less than 10%, which can meet the requirements of the simulation accuracy of the growth process and yield of maize.The highest yields of spring maize under different irrigation and nitrogen management in different precipitation years are 1.08×10⁴, 1.16×10⁴, 1.13×10⁴ kg·ha^-1 respectively, which is highest in dry year and lowest in normal year.The highest yields are obtained by irrigation quantity of 185, 205, 175 mm, and nitrogen application amount of 75, 175, 125 kg·ha^-1, respectively.The maximum water use efficiency of spring maize under different water and nitrogen management in different precipitation years is the highest in wet year and the lowest in dry year.The highest water use efficiency is obtained by irrigation quantity of 175, 195, 175 mm, and nitrogen application amount of 75, 175, 125 kg·ha^-1, respectively.The maximum economic benefits of spring maize under different water and nitrogen management in different precipitation years are the largest in dry year and the smallest in normal year.The maximum economic benefits are obtained by irrigation quantity of 175, 205, 175 mm, and nitrogen application amount of 75, 175, 125 kg·ha^-1, respectively.