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  Published Paper Details:

  Paper Title

FLOOD FORECASTING AND EARLY WARNING SYSTEM BASED ON INTERNET OF THINGS

  Authors

  Mrs J.Aparna Priya ,  K.Navya

  Keywords

Raspberrypi3, ultrasonic sensor, waterflow sensor, rain fall sensor

  Abstract


The proposed project provides a flood forecasting and early warning system which would be helpful to flood prone areas. Measuring water level in Dams, rain falling and flow rate through distribution networks. The data from sensors is continuously uploaded to the cloud hosted for flood management system. This system also enables message alert to the mobile users and the buzzer will be ON. That not only gives us a waning but also it tell us approximate time that there is possibility of flood so the people will be alert in advance the accurate calculation of flood and early warning without human intervention. Early warnings with respect to natural disasters especially flood predictions play a via role in saving precious lives and assets. specially the flood have become most disastrous happenings in the last few decades the main reason that leads to unique geo-climate surroundings in that the cause of heavy rainfall.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1704234

  Paper ID - 170709

  Page Number(s) - 1852-1858

  Pubished in - Volume 5 | Issue 4 | December 2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mrs J.Aparna Priya ,  K.Navya ,   "FLOOD FORECASTING AND EARLY WARNING SYSTEM BASED ON INTERNET OF THINGS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 4, pp.1852-1858, December 2017, Available at :http://www.ijcrt.org/papers/IJCRT1704234.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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