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An Internet of Things Infrastructure for Rainfall Monitoring in Dakar

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Innovations and Interdisciplinary Solutions for Underserved Areas (InterSol 2018)

Abstract

Rainfall is a very important climatic phenomenon for the Sahelian economies. In Senegal, it has a very tremendous impact on agriculture and human life, which justifies the need for effective monitoring systems. In fact, the country has been experienced number of extreme events such as floods and public health problems. Despite the efforts made, it remains challenging to have real-time observations, which impact directly forecasts quality. In addition, systems used are not efficient and they are often expensive for implementation and deployment throughout the country. In this paper, we present an automatic rainfall station adapted. A prototype has been designed and implemented to ensure the reliability and availability of data in real time. In addition, a validation study is carried out in order to know its performances. For this, the designed prototype is installed on the same site near an approved industrial station, between July 1st and October 31st, 2017. The comparison between obtained results of these two stations is very satisfactory with a correlation of 99%.

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Notes

  1. 1.

    http://www.ansd.sn/.

  2. 2.

    http://www.anacim.sn/.

  3. 3.

    http://www.isra.sn/.

  4. 4.

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  5. 5.

    http://www.amma-international.org.

  6. 6.

    http://lambrecht.net/de/niederschlag/meteorologie_hydrologie.

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Author information

Authors and Affiliations

  1. Université Cheikh Anta DIOP (UCAD), Dakar, Senegal

    Abdoulaye Kama, Cheikh Modou Noreyni Fall, Mamadou Simina Drame & Moussa Diallo

Authors
  1. Abdoulaye Kama
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  2. Cheikh Modou Noreyni Fall
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  3. Mamadou Simina Drame
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  4. Moussa Diallo
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Corresponding author

Correspondence to Abdoulaye Kama .

Editor information

Editors and Affiliations

  1. Cheikh Anta Diop University, Dakar, Senegal

    Cheikh M.F. Kebe

  2. University System of Maryland, Bambey, Senegal

    Assane Gueye

  3. Assane University, Seck de Ziguinchor, Senegal

    Ababacar Ndiaye

  4. Carnegie Mellon University, Kigali, Rwanda

    Aminata Garba

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Kama, A., Fall, C.M.N., Drame, M.S., Diallo, M. (2018). An Internet of Things Infrastructure for Rainfall Monitoring in Dakar. In: Kebe, C., Gueye, A., Ndiaye, A., Garba, A. (eds) Innovations and Interdisciplinary Solutions for Underserved Areas. InterSol 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 249. Springer, Cham. https://doi.org/10.1007/978-3-319-98878-8_17

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  • DOI: https://doi.org/10.1007/978-3-319-98878-8_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98877-1

  • Online ISBN: 978-3-319-98878-8

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