HydroMP——基于云计算的水动力模拟计算平台,Journal of Hydroinformatics

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HydroMP——基于云计算的水动力模拟计算平台
Journal of Hydroinformatics ( IF 2.2 ) Pub Date : 2017-09-12 , DOI: 10.2166/hydro.2017.140
Ronghua Liu ₁ , Jiahua Wei _{2,

3,

4} , Yan Ren _{2,

4} , Qi Liu _{1,

2} , Guangqian Wang _{2,

3,

4} , Songdong Shao _{3,

4,

5} , Shuang Tang ₆

Affiliation

摘要现代水管理决策越来越依赖于多模型多场景的有效数值模拟。本文提出了一种基于云计算的水动力模拟服务模式，并设计并实现了水文/水力建模平台（HydroMP）的相关框架。各种水力模型可以动态集成到HydroMP中，无需重新编译程序，实现了计算资源的调度，以Web服务的形式为终端用户提供并发场景模拟的快速计算能力。本研究的重点是动态模型集成、资源调度、系统通信和数据结构设计。以目前的一维水动力云计算为原型，采用EXE集成和PIIM集成两种集成方法构建CE-QUAL-RIV1和JPWSPC（Joint Point Water Stage Prediction and Correction）模型，从而研究南水北调（SNWD）工程中调水渠道的实时调度。结果表明，使用不同水动力模型的海量建模场景，如果同时提交，可以在 HydroMP 中同时处理。所提出框架的数据结构也可以扩展到二维和三维流体动力学情况。采用EXE集成和PIIM集成两种集成方法构建CE-QUAL-RIV1和JPWSPC（Joint Point Water Stage Prediction and Correction）模型，研究南方调水渠道的实时调度北调水（SNWD）项目。结果表明，使用不同水动力模型的海量建模场景，如果同时提交，可以在 HydroMP 中同时处理。所提出框架的数据结构也可以扩展到二维和三维流体动力学情况。采用EXE集成和PIIM集成两种集成方法构建CE-QUAL-RIV1和JPWSPC（Joint Point Water Stage Prediction and Correction）模型，研究南方调水渠道的实时调度北调水（SNWD）项目。结果表明，使用不同水动力模型的海量建模场景，如果同时提交，可以在 HydroMP 中同时处理。所提出框架的数据结构也可以扩展到二维和三维流体动力学情况。结果表明，使用不同水动力模型的海量建模场景，如果同时提交，可以在 HydroMP 中同时处理。所提出框架的数据结构也可以扩展到二维和三维流体动力学情况。结果表明，使用不同水动力模型的海量建模场景，如果同时提交，可以在 HydroMP 中同时处理。所提出框架的数据结构也可以扩展到二维和三维流体动力学情况。

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HydroMP – a computing platform for hydrodynamic simulation based on cloud computing

Abstract Modern water management decisions are increasingly dependent on efficient numerical simulations of multiple scenarios with multi-models. In this paper, a service mode for the hydrodynamic simulation based on cloud computing is proposed, and the relevant frameworks of the Hydrologic/Hydraulic Modeling Platform (HydroMP) are designed and implemented. Various hydro-models can be integrated into HydroMP dynamically without the need of program recompiling, since it achieves the scheduling of computing resources to provide end users with the rapid computing capacity of concurrent scenario simulations in the form of a Web service. The present study focuses on the dynamic model integration, resource scheduling, system communication and data structure design. To use the present one-dimensional hydrodynamic cloud computing as a prototype, two integration methods (including the EXE integration and PIIM integration) are applied to construct the CE-QUAL-RIV1 and JPWSPC (Joint Point Water Stage Prediction and Correction) models, thereby to investigate real-time scheduling of the water transfer channels in the South-to-North Water Diversion (SNWD) project. The results showed that massive modeling scenarios by use of different hydrodynamic models, if submitted concurrently, can be processed simultaneously in the HydroMP. The data structure of the proposed framework can also be extended to two-dimensional and three-dimensional hydrodynamic situations.

更新日期：2017-09-12

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