Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models contributed to risk reduction, policy suggestion, minimization of the loss of human life, and reduction of the property damage associated with floods. To mimic the complex mathematical expressions of physical processes of floods, during the past two decades, machine learning (ML) methods contributed highly in the advancement of prediction systems providing better performance and cost-effective solutions. Due to the vast benefits and potential of ML, its popularity dramatically increased among hydrologists. Researchers through introducing novel ML methods and hybridizing of the existing ones aim at discovering more accurate and efficient prediction models. The main contribution of this project is to demonstrate the state of the art of ML models in flood prediction and to give insight into the most suitable models. This project presents the Flood prediction and Rainfall analysis using Machine Learning. The main goal of employing this application is to prevent impacts of flood. This application can be easily used by the common people or government to predict the occurrence of flood beforehand. Among many ML techniques, classification is a widely used one. We use multiple algorithms such as

2. Telangana state development planning society (TSDPS) was established by the Planning
Department, Government of Telangana to continue the services of existing hydro – meteorological
projects in Telangana after AP reorganization act in 2014 .
Ongoing Activities:
Weather Activities Rainfall, Temperature, Humidity and Wind Data Management – 863 AWS
data retrieval & dissemination in real-time.
Maintenance of AWS Network
 Analysis, Reports and Spatial maps of weather parameters
Dynamic Real time data dissemination through website
Development – Conducted surveys on Perception of Public Distribution System, Agriculture
Loan waiver, TS iPASS, Kalyan Lakshmi (Shadi Mubarak) and Skill Gap Assessment in MSME sector
of Telangana (On going)
Weather Forecasting (WRF model) – regular 72-hours weather forecast generation
Convergence Activities:
Near Real Time Drought Monitoring in collaboration with TRAC
Integration of AWS, DE&S and IMD rainfall through NIC.
Monitoring of (SDG)Sustainable Development Goals with DR. MCR HRDI
TSDPS Activities

3.  SMS and Whatsapp service initiated to send daily AWS Rainfall, Maximum/Minimum
Temperature and Forecast to all TS Officials, Collectors, CPOs and MPSOs. The same will be
extended to registered General Public for Agricultural application.
 District wise weekly weather outlook for next seven days (Saturday to Friday) for
Agriculture operations high lighting the heavy rainfall and dry/wet spells during the
monsoon seasons are regularly uploading in the TSDPS web site .
 Integrated AWS+DES+IMD mandal wise rainfall data generation is started during 2017,
mandal wise rainfall status being kept online.
 Proposed Activities: Urban Flooding, MoU with different National and International
Institutions for Research studies – Asset Mapping in the state with NRSC & TRAC, Telangana
Heat wave Atlas with UNICEF.
 Analysis and generation of data from State to village level to asses climate change impacts for
preparation of Disaster Mitigation plans.

4. Development of Urban Flood
Model for GHMC Area
 TSDPS plays a role of facilitator to bring different studies together and the views of
different experts so that a operational Urban Flood Early warning system for GHMC area is
developed by utilizing the available data and experts.
 Co-ordination with different Departments i.e., GHMC, HMWS&SB, IMD, Dis.Mgmt,
Police, Research Institutions etc.
 Earlier development of Urban Flood Model was proposed by APSDPS in 2012 with the help
of Prof. Sri. Kapil Gupta, IIT, Mumbai.
 The proposed project included Development of mathematical flood forecasting model
(Hydrological and Hydrodynamic) for GHMC area (16 watersheds) including its
contributing catchment area using Hydrologic Engineering Center -Hydrologic Modeling
System(HEC-HMS) and Hydrologic Engineering Center -River Analysis System(HEC-RAS)
incorporating finer resolution GIS datasets and data from 51 AWS already installed by
TSDPS, rainfall forecast from WRF and gridded rainfall data from Doppler radar
(available with IMD) as input within the modeling framework.
 The proposed project includes setting up the model for inflow forecast for major tanks in
GHMC area and Development of 150 ward wise vulnerability maps for different rainfall
scenarios;
 Further in addition to the above, various other activities to be carried out for development
of effective Early warning system for urban flood management in GHMC area need to be
discussed today.

5. Data Users
 GHMC & HMDA – Provision of Real Time Data for field level operations of Urban flood
Monitoring and Traffic Management, presently which is under operation.
 Agriculture Department - For crop Management, Planning and Agriculture Insurance.
 Agriculture Insurance Company - WBCIS : All parameters of weather based insurance
for settlement of claims.
 Agriculture University - All parameters for calculation of MAI (Moisture Aridity Index)
and other research activities.
 Irrigation Department – Sharing of Real Time Data for monitoring of Reservoirs levels,
River run off and Water Management.
 Disaster Management - Weather data to issue alerts to district officials.
 Universities for Projects - Providing data to Research Scholars for different Research
studies.
 Information Technology - Sharing of data for display at public domain.

6. TSDPS web site (www.tsdps.telangana.gov.in)

7. Real Time GIS based Rainfall analysis as on
12.07.2018 at 8:30am

8. WRF Model based 3-days Rainfall Forecast as on 12.07.2018
Day-1 Day-2
Day-3

9. Comparision of Daily Forecast as on 12.07.2018

10. Integrated AWS+DES+IMD mandal wise rainfall(mm)

11. Integrated AWS+DES+IMD mandal wise rainfall(mm)

12. Real time Rainfall Details

13. District Mandal Date
Highest Rainfall
(mm) Recorded
Source
Hyderabad (IMD) Begumpet 24-08-2000 241.5 IMD
Hyderabad Maredpally 18-08-2009 140 TSDPS
Medchal-Malkajgiri Balanagar 19-06-2010 136.8
TSDPS
Hyderabad Asifnagar 22-08-2011 123.4
TSDPS
Rangareddy Saroornagar 21-07-2012 226.8 TSDPS
Medchal-Malkajgiri Balanagar 12-07-2013 116.2 TSDPS
Hyderabad Maredpally 08-07-2014 86.4 TSDPS
Rangareddy Saroornagar 13-06-2015 135.2 TSDPS
Medchal-Malkajgiri Qutballapur 21-09-2016 230 TSDPS
Medchal-Malkajgiri Kapra 14-09-2017 174.6 TSDPS
Highest Rainfall intensity of 87mm/hour recorded on 02.10.2017 at
Srinagercolony (Khairatabad) and more than 60mm/hour recorded on the
same day at Mondamarket, Shapurnager, Rajendranager, Madhapur.
Extreme Rainfall (mm) recorded over GHMC Area

16. Thank you