三江平原白浆土区雨养玉米AquaCrop模型模拟研究
AquaCrop modelling rainfed maize development in Baijiang soil of the Sanjiang Plain
李思琪 1王俊洁 1孟明雪 1王子康 1孟子惟 1王一帆 1蒲晓1
作者信息
- 1. 首都师范大学资源环境与旅游学院,水资源安全北京实验室,北京 100048
- 折叠
摘要
本研究评价AquaCrop模型对三江平原白浆土区雨养玉米生长过程模拟和产量估算的适用性,在模型参数率定和校准的基础上与其他气候区研究进行对比.结果表明,AquaCrop模型很好地模拟了三江平原白浆土区雨养玉米农田土壤含水量、雨养玉米生物量和产量.土壤含水量、雨养玉米生物量、雨养玉米产量观测值和模拟值的均方根误差范围分别为0.80％～1.02％、0.372～0.995 t/hm2、0.563～1.040 t/hm2,其一致性指数范围分别为 0.878 9～0.990 7、0.992 7～0.998 9、0.982 4～0.988 9.不同气候区的玉米AquaCrop模型参数率定存在异同,其中冠层生长指数和冠层蒸腾作物系数的率定值存在明显差异,而归一化水分生产力、冠层衰减系数、最大冠层盖度和收获指数等参数的率定值差异较小.在模型使用时,如遇播种时间明显提前,适当延长最大冠层参数对应时间可有效调整提前播种产生的模拟结果偏差.
Abstract
This study evaluates the applicability of the AquaCrop model for simulating the growth process and yield estimation of rainfed maize in the Baijiang soil area of the Sanjiang Plain.The model parameters of this study and other studies with different climates were compared.The results show that the AquaCrop model effectively simulates the soil moisture content,biomass,and yield of rainfed maize in the Baijiang soil area of the Sanjiang Plain.The root mean square error of observed and simulated soil moisture,rainfed maize biomass,and rainfed maize yield range from 0.80％～1.02％,0.372～0.995 t/hm2,and 0.563～1.04 t/hm2,respectively,and the consistency index ranging from 0.878 9～0.990 7,0.992 7～0.998 9,and 0.982 4～0.988 9,respectively.There are similarities and differences in the calibration of AquaCrop model parameters for maize in different climatic regions.There are significant differences in the calibration values of the Canopy growth index and Canopy transpiration crop coefficient,while the calibration values of Normalized water productivity,Canopy decay index,Maximum canopy coverage,Harvest index parameters are relatively small.In case of sowing time ahead of schedule,the duration reaching the maximum canopy cover was suggested to be properly prolonged for reducing simulation bias.
关键词
AquaCrop模型/雨养玉米/生物量/产量/三江平原Key words
AquaCrop model/rainfed maize/biomass/yield/the Sanjiang Plain引用本文复制引用
基金项目
国家自然科学基金重点国际(地区)合作研究与交流项目(42220104004)
国家重点研发计划项目(2017YFC0406002)
出版年
2024
国家科技期刊平台
NSTL
万方数据