iFLOWS- Mumbai - Flood Warning System -UPSC

iFLOWS- Mumbai | Flood Warning System | UPSC


Mumbai will soon be able to predict floods before they happen, helping protect property and save lives

      WHY IN NEWS:

State-of-the-art Flood Warning System for Mumbai Launched

MINISTRY? :-Ministry of Earth Science
SYLLABUS COVERED: GS 3:Disaster management


For PRELIMS understand the methodology of predicting the floods . It is based on seven modules.

For MAINS more such devices can be inducted with AI for low lying areas as well as for the sorrow of Bihar . How can we implement this ? Suggest more cost effective methods .


Floods to be estimated 3 days in advance, at ward-level  

iFLOWS- Mumbai

  • Decision Support System will enable smart decision-making and field action based on risk assessment
  • State-of-the-art flood warning system developed by MoES
  • The system will also forecast the rainfall in each pocket.

  It will be possible to have an estimate of the flood inundation 3 days in advance + 3 hours – 6 hours Nowcast (immediate weather updates).


  • The sophisticated system has been developed by the Ministry of Earth Sciences in close collaboration with the Municipal Corporation of Greater Mumbai (BMC).

  The system uses rain gauge data and local data such as data on land use, land topography, drainage systems, water bodies in the city, tide levels, infrastructure and population.


  • The prediction system models weather, rainfall, runoff and water movement, tide and storm surge impacts based on which early Flood Warnings.

  It will address the flood inundation due to rainfall, river bank breach, storm surge, obstruction of flow due to roads, buildings, rail lines, high tides and sea level rise.


  •  DATA ASSIMILATION MODULE : The Data Assimilation Module gathers a variety of dynamic data like weather forecasts and under-water depth of rivers and lakes.
  • INUNDATION MODULE : The Inundation Module will use the data to forecast flood inundation 3 days in advance.
  • FLOOD MODULE : Flood Module will predict how the water will move across areas expected to be flooded.
  • THE VULNERABILITY AND RISK MODULES : This comprise the Decision Support System, enables the administration to take smart decisions.
  • DISSEMINATION MODULE : The Dissemination Module makes information available to field officials through various communication channels.


  • MoES initiated the development of the flood warning system in July 2019 using the expertise of Indian Meteorological Department (IMD)


  • National Centre for Medium Range Weather Forecasting (NCMRWF), Indian Institute of Tropical Meteorology (IITM) and National Centre for Coastal Research (NCCR), in close coordination with Disaster Management Department of MCGM.

      IASbhai WINDUP: 

  • iFlowsMumbai can be a model for the rest of the country.
  • The system will help make the city become more resilient, by providing early warning for flooding especially during high rainfall events and cyclones.
  • It will be very useful, especially if people need to be evacuated from low-lying areas as we will be able to forecast 12 hours in advance that a particular spot may get flooded.
     SOURCES: PIB | iFLOWS- Mumbai | Flood Warning System | UPSC

More : https://www.iasbhai.com/12th-june-2020-upsc-current-affairs/#“IFLOWSMumbai”

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