Dongting Lake Floodwater Diversion and Storage Modeling and Control Architecture Based on the Next Generation Network

  • Authors:
  • Lianqing Xue;Zhenchun Hao;Dan Li;Xiaoqun Liu

  • Affiliations:
  • State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, P.R. China;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, P.R. China;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, P.R. China;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, P.R. China

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
  • Year:
  • 2007

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Abstract

Dongting Lake is one of the most important floodwater diversion and storage regions in Yangzi River basin. The development of the next generation network and information technology makes it possible to implement the remote monitoring and floodwater control effectively. By taking advantage of the next generation network and lots of 16-byte addresses of IPv6, different kinds of remote sensing devices can be accessed and monitored data can be collected and transferred to the two-dimension hydraulic model for Dongting Lake. And on the basis of real-time network data transmission and parallel algorithm the model can be operated with more unstructured meshes and the hydrological regime and gates are virtually controlled by remote sensors. When analyzing the modeling results, the input data and computing results can be revised in time according to the feedback from the high-speed internet-based system and the project operation can be effectively managed as well.