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Reservoir Storage Rainfall Dynamic Monitoring System Based on Data Mining Algorithm

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2021 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1398))

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Abstract

As an important water conservancy project, reservoir plays a positive role in flood interception, water supply guarantee and water resources allocation, and also provides a significant help for social and economic development and ecological civilization construction. Reservoir water storage is one of the important indicators for the healthy operation of the reservoir, which is closely related to the regional climate, humidity and precipitation. It is necessary to study the reservoir storage capacity for the rational protection and utilization of water resources and the formulation of relevant policies. With the development and maturity of data mining technology and the successful application in all walks of life, the advantages of this technology in discovering hidden rules or patterns in data are incomparable with other technologies. This paper collects and reviews a large number of relevant literature, discusses how to apply data mining technology and data analysis of reservoir storage problem.

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References

  1. Guojun, M., Lijuan, D., Shi, W.: Principle and Algorithm of Data Mining. Tsinghua University Press, Beijing (2005)

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  2. Huizhong, W., Anqun, P.: Research status and development trend of data mining. Ind. Mining Automation 2, 33–36 (2011)

    Google Scholar 

  3. Zhang, L., Zhang, G., Li, F.: Study on remote sensing analysis method of Laolongkou reservoir capacity based on landsa8 and DEM. Sci. Technol. Innov. Appl. 252(32), 126–127 (2018)

    Google Scholar 

  4. Yonghai, T., Zhihui, Z., Yu, S.: Design of flood regulation system of Qinghe reservoir based on web. J. Water Resources Water Eng. 21(1), 168–170 (2010)

    Google Scholar 

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Acknowledgements

State's Key Project of Research and Development Plan (2018YFCl508006, 2019YFC1510700).

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Authors and Affiliations

  1. POWERCHINA HUADONG Engineering Corporation Limited, Hangzhou, 311122, China

    Chenchen Yao, Junlong Tang, Jinhua Liu & Leilei Zhang

Authors
  1. Chenchen Yao
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  2. Junlong Tang
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  3. Jinhua Liu
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  4. Leilei Zhang
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Corresponding author

Correspondence to Junlong Tang .

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Editors and Affiliations

  1. Faculty of Science, Engineering and Buil, Deakin University, Geelong, VIC, Australia

    Jemal Abawajy

  2. School of Computer Engineering and Sciences, Shanghai University, Shanghai, China

    Zheng Xu

  3. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  4. Department of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA

    Xiaolu Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Yao, C., Tang, J., Liu, J., Zhang, L. (2021). Reservoir Storage Rainfall Dynamic Monitoring System Based on Data Mining Algorithm. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_66

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