面向水稻生长模拟的网络共享数据综合评价  

The Comprehensive Evaluation of the Network Shared Data for the Simulation of Paddy Rice Growth

作　　者：吴贤玲[1,2] 王秀珍[1] 黄敬峰[3] 

机构地区：[1]杭州师范大学遥感与地球科学研究院,浙江杭州311121 [2]新疆农业大学草业与环境科学学院,新疆乌鲁木齐830052 [3]浙江大学农业遥感与信息技术应用研究所,浙江杭州310058

出　　处：《杭州师范大学学报（自然科学版）》2012年第5期464-469,共6页Journal of Hangzhou Normal University(Natural Science Edition)

基　　金：国家自然科学基金项目(40875070)

摘　　要：文章根据水稻生长模拟模型ORYZA2000所需要的数据,从用户应用角度,选取准确性、及时性、可理解性、完整性、冗余性和可信度评价指标,采用定性与定量结合的方法,对目前国内互联网上提供的共享数据进行综合评价,揭示科学共享数据应用方面存在的问题.结果表明:中国地面气候资料日值数据集的各项数据质量评价指标较好;中国农作物生长生育状况资料数据集,因部分发育期数据的完整性和准确性有待提高,造成现阶段区域水稻生长模拟精度有进一步提高的可能性.目前,大部分水稻品种、土壤性质等数据很难获得,田间小气候数据库数据冗余问题较突出.Basing on the data which were needed for the simulation of paddy rice growth in ORYZA2000 model, the paper chose some evaluating indicators with accuracy, timeliness, intelligibility, integrity, redundancy and reliability, comprehensively evaluated the shared data from internet using the methods of qualitative and quantitative, and revealed the problems exsiting in the applications of shared data. The results show that each quality evaluation index of the daily value data set of China＇s ground climate is good. Because the completeness and accuracy of partial data of crops＇ growth and procreation status need to be improved, the simulation precision of regional rice growth needs to be improved. It is difficult to obtain the data of rice varieties, soil properties, and the data redundancy problems of field microclimate database are obvious.

关 键 词：生长模拟模型 共享数据 水稻生长 综合评价 ORYZA2000 质量评价指标 网络 数据应用 

分 类 号：S114[农业科学—农业基础科学]