Data management in flood prediction

被引:0
|
作者
Habala, O [1 ]
Ciglan, M [1 ]
Hluchy, L [1 ]
机构
[1] Slovak Acad Sci, Inst Informat, Bratislava 84507, Slovakia
来源
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper we present the data management tasks and tools used in a flood prediction application of the CROSSCRID1 project. The application consists of a computational core - a cascade of three simulation stages, a workflow manager, two user interfaces and a data management suite. The project is based on the Grid technology, especially the Globus toolkit 2.4 and 3.2 and the EU DataGrid project. The paper begins with brief introduction to the application, its architecture and used technology. Most of the rest of the paper then describes in detail the various data management problems of the application and their solutions. The paper is concluded with a brief description of planned future work.
引用
收藏
页码:872 / 879
页数:8
相关论文
共 50 条
  • [41] Flood management
    1600, Compressed Air, Washington, NJ, United States (100):
  • [42] Adaptive Momentum-Backpropagation Algorithm for Flood Prediction and Management in the Internet of Things
    Thankappan, Jayaraj
    Mary, Delphin Raj Kesari
    Yoon, Dong Jin
    Park, Soo-Hyun
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 77 (01): : 1053 - 1079
  • [43] Flood of data
    Tim Lincoln
    Nature, 2007, 447 : 393 - 393
  • [44] Value of different precipitation data for flood prediction in an alpine catchment: A Bayesian approach
    Sikorska, A. E.
    Seibert, J.
    JOURNAL OF HYDROLOGY, 2018, 556 : 961 - 971
  • [45] Prediction of Flood Levels Along a Stretch of the Langat River with Insufficient Hydrological Data
    Mohammed, Thamer Ahmed
    Al-Hassoun, Saleh
    Ghazali, Abdul Halim
    PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY, 2011, 19 (02): : 237 - 248
  • [46] A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction
    Khalaf, Mohammed
    Hussain, Abir Jaafar
    Al-Jumeily, Dhiya
    Baker, Thar
    Keight, Robert
    Lisboa, Paulo
    Fergus, Paul
    Al Kafri, Ala S.
    2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2018, : 230 - 237
  • [47] Integration of remote and in situ data:: Prototype flood information management system
    Wood, MD
    Henderson, I
    Pultz, TJ
    Teillet, PM
    Zakrevsky, JG
    Crookshank, N
    Cranton, J
    Jeena, A
    IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 1694 - 1696
  • [48] Quality assessment of crowdsourced social media data for urban flood management
    Songchon, Chanin
    Wright, Grant
    Beevers, Lindsay
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2021, 90
  • [49] A data mining approach for capacity building of stakeholders in integrated flood management
    Owotoki, Peter
    Manojlovic, Natasa
    Mayer-Lindenberg, Friedrich
    Pasche, Erik
    ICDM 2006: Sixth International Conference on Data Mining, Proceedings, 2006, : 446 - 455
  • [50] IoT, big data and HPC based smart flood management framework
    Sood, Sandeep K.
    Sandhu, Rajinder
    Singla, Karan
    Chang, Victor
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2018, 20 : 102 - 117