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作 者:余宇峰[1] 胡健伟[2] 严琳 朱跃龙[1] 万定生[1] 姚成 张锦堂[4] YU Yufeng;HU Jianwei;YAN Lin;ZHU Yuelong;WAN Dingsheng;YAO Cheng;ZHANG Jintang(College of Computer and Information,Hohai University,Nanjing 210098 China;Information Center,Ministry of Water Resources of China,Beijing 100053,China;Ruijie Networks(Suzhou)Company Limited,Suzhou 350002,China;Hydrology Bureau of Auhui Province,Hefei 230022,China)
机构地区:[1]河海大学计算机与信息学院,江苏南京210098 [2]水利部信息中心,北京100053 [3]锐捷网络(苏州)有限公司,江苏苏州350002 [4]安徽省水文局,安徽合肥230022
出 处:《河海大学学报(自然科学版)》2022年第4期34-41,共8页Journal of Hohai University(Natural Sciences)
基 金:江苏省水利科技项目(2021065,2020014);国家重点研发计划(2018YFC1508100)。
摘 要:针对异构水文预报模型复用程度低、共享应用困难等问题,提出了一种水文模型服务化封装和组合方法,通过设计标准化服务描述、操作和部署等封装接口,完成对水文模型的数据-算法-模块-模型多粒度拆分与服务化封装。以栅格新安江模型为例进行模型服务化封装,并在屯溪流域进行了应用验证,验证结果表明,该方法能有效提升水文模型算法和模块的灵活组配能力,提高了模型资源的复用率,实现了面向业务应用需求驱动的模型动态配置技术,可为水文模型服务化封装及共享应用提供基础支撑。To deal with problems of low reuse and sharing difficulties of heterogeneous models in the process of hydrological forecasting,this paper proposes a service-based encapsulation and combination method for hydrological models.Through the design of standardized service description,operation,deployment and other encapsulation interfaces,the hydrological model's data-algorithm-module-model multi-granularity splitting and service-oriented encapsulation are realized.Taking the grid Xin’anjiang model(GXM)as an example to verify the proposed method,the experimental result on the Tunxi watershed shows that the method in this paper can effectively improve the reuse ability of model resources and realizes the dynamic configuration technology of the model driven by business requirements,and thus provides basic support for the service encapsulation and sharing application of the hydrological model driven by business needs.
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