Position: Home > Articles > Simulation of Soil Water and Heat and Crop Yield in Oasis Cotton Field under Forecast Irrigation
Journal of Irrigation and Drainage
2018
(S2)
134-139
预报式灌溉条件下绿洲棉田土壤水热与作物产量模拟
作 者：
李文珍;齐志明;桂东伟;陈小平
单 位：
中国科学院大学;中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室;新疆策勒荒漠草地生态系统国家野外科学观测研究站;中国科学院干旱区生物地理与生物资源重点实验室
关键词：
预报式灌溉;RZWQM2;土壤水热;生物量;产量
摘 要：
【目的】探究新型预报式灌溉系统条件下利用根区水质模型(RZWQM2)对绿洲棉田土壤水热和产量的模拟效果。【方法】利用RZWQM2模型模拟策勒绿洲棉田2016—2017年的土壤水分、土壤温度、生物量和作物产量,根据实测数据资料对模型进行参数率定及验证。【结果】率定与验证过程中土壤储水量的均方根误差(RMSE)分别为1.76、2.59 cm,偏差(PBIAS)与相对均方根误差(RRMSE)分别均在±15%、±30%范围内,一致性指数(IOA)均大于0.76;率定与验证过程中除深层土壤含水率IOA较低外,总体模拟效果较好;土壤温度、生物量和产量模拟效果较好,各统计指标分别均在误差范围内(RMSE达到最小值,-30%0.75)。【结论】RZWQM2模型可较准确地模拟土壤水分、温度、生物量和产量。
译 名：
Simulation of Soil Water and Heat and Crop Yield in Oasis Cotton Field under Forecast Irrigation
作 者：
LI Wenzhen;QI Zhiming;GUI Dongwei;CHEN Xiaoping;State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology Geography, Chinese Academy of Sciences;Cele National Station of Observation and Research for Desert-Grassland Ecosystem in Xinjiang;Cele National Station of Observation and Research for Desert-Grassland Ecosystems;Unversity of Chinese Academy of Sciences;
单 位：
LI Wenzhen%QI Zhiming%GUI Dongwei%CHEN Xiaoping%State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology Geography, Chinese Academy of Sciences%Cele National Station of Observation and Research for Desert-Grassland Ecosystem in Xinjiang%Cele National Station of Observation and Research for Desert-Grassland Ecosystems%Unversity of Chinese Academy of Sciences
关键词：
RZWQM2;;forecast irrigation;;soil water and heat;;biomass;;yield
摘 要：
【Objective】Explore the simulation effect of root zone water quality model(RZWQM2) on soil water and heat and yield in oasis cotton field under the condition of new type forecast irrigation system.【Method】RZWQM2 model was used to simulate the soil moisture, soil temperature, biomass and crop yield in the cotton field of Cele oasis from 2016 to 2017. The parameters of the model were calibrated and validated according to the measured data.【Results】The root mean square errors(RMSE) of soil water storage were 1.76 cm and 2.59 cm, the deviation(PBIAS) and the relative root mean square error(RRMSE) were within the range of ±15 % and ±30 % respectively, and the consistency index(IOA) was greater than 0.76. in the process of calibration and validation.The simulation results of soil temperature, biomass and yield were better, and the statistical indexes were within the error range(RMSE reached the minimum,-30%0.75).【Conclusion】RZWQM2 model can accurately simulate soil moisture, temperature, biomass and yield, and provide an effective tool for irrigation management in Cele oasis, and lay a foundation for accurately predicting soil water and heat changes and farmland irrigation in the future.
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