Big Data Research ›› 2019, Vol. 5 ›› Issue (6): 73-84.doi: 10.11959/j.issn.2096-0271.2019051

• STUDY • Previous Articles     Next Articles

Cluster computing mode for water environment simulation based on Hadoop

Jinfeng MA1,Li TANG2,Kaifeng RAO1,Gang HONG3,Mei MA1,4   

  1. 1 Key Laboratory of Drinking Water Science and Technology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China
    2 Shenzhen Environment Monitoring Center,Shenzhen 518057,China
    3 Shijiazhuang Environmental Information Center,Shijiazhuang 050051,China
    4 College of Resources and Environment University of Chinese Academy of Sciences,Beijing 100190,China
  • Online:2019-11-15 Published:2020-01-10
  • Supported by:
    The National Natural Science Foundation of China(51209194);Frontier Science Key Program of the Chinese Academy of Sciences(QYZDY-SSW-DQC004);Science and Technology Planning Project of Guangdong Province(2016B02024007)

Abstract:

Water environment numerical models are effective tools for the simulation,analysis and prediction of the processes of pollutant transport and transformation in water.The development of high-performance batch computation of water environment models has long been a hot topic.The distributed cluster computing mode based on big data technology is a promising approach for massive data management and batch computation,which provides a viable solution to large-scale water environment simulations.The adaptability of water environmental models under the framework of big data technology was explored,and a distributed cluster computing mode for water environment simulations was proposed.Moreover,the feasibility of adapting Delft3D model for cluster computing under Hadoop MapReduce environment was verified with real examples.

Key words: water environment simulation, cluster calculation, big data, Hadoop

CLC Number: 

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