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2种水稻生长模型比较
引用本文:浩宇. 2种水稻生长模型比较[J]. 安徽农业科学, 2017, 45(11). DOI: 10.3969/j.issn.0517-6611.2017.11.007
作者姓名:浩宇
作者单位:陕西省气象服务中心,陕西西安,710014
摘    要:[目的]比较ORYZA2000和WOFOST 2种模型对江西省水稻生长的模拟效果。[方法]利用江西省当地田间试验观测数据,收集水稻的关键参数,同时结合同期逐日气象数据等资料分别对ORYZA2000和WOFOST 2种模型进行比较。采用适应性评价对水稻多个生理指标进行评价与验证。[结果]以统一化均方根误差(NRMSE)来衡量作物模型的模拟结果,ORYZA2000模型模拟结果显示水稻各生物量的NRMSE值小于25%,而WOFOST模型对叶面积指数及穗生物量模拟偏差较大,分别为46%和55%。[结论]ORYZA200在穗生物量和叶面积指数的模拟中比WOFOST模型模拟效果较好。

关 键 词:作物模型  田间数据  调试参数  适应性评价

Comparison of Two Kinds of Rice Growth Model
HAO Yu. Comparison of Two Kinds of Rice Growth Model[J]. Journal of Anhui Agricultural Sciences, 2017, 45(11). DOI: 10.3969/j.issn.0517-6611.2017.11.007
Authors:HAO Yu
Abstract:[Objective]To compare simulation effect of two kinds of rice growth model in Jiangxi Province.[Method] By the local field experimental observation data and meteorological data at the same period,the ORYZA2000 and WOFOST model parameters were compared.The growth period,the leaf area index and the biomass index were verified and evaluated.[Result]Measuring simulation effat of crop model with NRMSE,the biomass NRMSE value were less than 25% from ORYZA2000 model,and the NRMSE value of LAI and dry weight was 46% and 55% from WOFOST,which the deflection was larger.[Conclusion] Simulation effect of ORYZA2000 in spike biomass and leaf area index is better than that of WOFOST model.
Keywords:Crop model  Field data  Parameters calibration  Adaptability evaluation
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