Early Warning Systems

Course date: 17/02/2020 to 21/02/2020 Duration: 5 Days Course fee: USD 800, KES 65,000

INTRODUCTION

An early warning system (EWS) is technology and associated policies and procedures designed to predict and mitigate the harm of natural and human-initiated disasters and other undesirable events. Early warning systems for natural hazards include those designed for floods, earthquakes, avalanches, tsunamis, tornadoes, landslides and drought. Other systems exist for a variety of events including missile launches, road conditions and disease outbreaks. Early warning systems are means by which people receive relevant and timely information in a systematic way prior to a disaster in order to make informed decisions and take action.

 

DURATION

5 days.

 

COURSE OBJECTIVES

Upon completion of the course, participants will:

  • Understand operational mechanisms and procedures for the prediction, forecasting, monitoring and response to the warning
  • Examine the kinds of tools and products that are available or could be developed to integrate information into forms most useful for them to make decisions at various levels and set-up appropriate contingency plan or options to guide members of their organization against various hazards of different timescales.
  • Design end-to-end early warning systems for several types of hazards including, action planning for disaster preparedness, emergency management and social response with respect to the early warning;
  • Develop tools for early warning audits, identify current gaps in existing early warning systems and put in place enhanced people-centered early warning system
  • Harmonization of the early warning system and disaster mitigation for effective disaster risk reduction
  • Undertake risk assessment and design of multi-hazard end-to-end early warning systems for disaster risk reduction
  • Develop strategies to institutionalize early warning systems into the process cycle of disaster risk reduction and development planning, emergency response, and preparedness activities
  • Interpret and translate scientific information products into user-friendly formats and prepare & communicate tailor-made early warning information products to elicit a response from the at-risk communities
  • Design and implement community-based early warning systems that are people centered and that can effectively contribute to the risk management process/risk reduction
  • Evaluate and introduce public education and training programme for the community based early warning systems
  • Apply emerging new generation climate prediction technologies for anticipating and managing disaster risks associated with climate change & variability

TOPICS TO BE COVERED

Module 1

Introduction to End-to-End Early Warning System

  • Overview of Basic Terminology & Concepts in DRM
  • Overview of Hazards and possibility of EWS
  • End-to-End EWS Framework and its Elements
  • Institutional mechanism/ framework for EWS

 

Module 1

Hazard Detection, Monitoring, Forecasting & Information for Warning (HDMFW)

  • Hazard Identification Process
  • Risk Analysis: Probabilities and Consequences
  • Risk Management: Options Analysis
  • Detection, Monitoring, Forecasting & Information for Warning-Drought
  • Detection, Monitoring, Forecasting & Information for Warning-Flood/Flash Flood
  • Detection, Monitoring, Forecasting & Information for - Warning-Volcanoes, Earthquake and Tsunami

 

Module 3

Application of Risk Assessment & Risk Communication for Early Warning

  • Use of Multi-Hazard Risk Assessment and Risk Maps for Early Warning
  • Risk Communication Process and Tools
  • Contingency Plans
  • Organizational Preparedness and Response Preparation
  • GIS and RS in Early Warning Systems

 

Module 4

Standard Operating Procedures (SOPs) for Early Warning Systems

  • Table-Top Exercise & SOP Development
  • Community-level focus
  • Good practice and lessons learned across the globe

 

Module 5

Monitoring and Evaluation of EWS

  • Monitoring the performance of EWS through quantifiable indicators and tools
  • Post Training work plan
  • Course Evaluation

 

 

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TRAINING CUSTOMIZATION

This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org

 

REQUIREMENTS

Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.

 

TRAINING FEE

The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

 

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact us through Mobile: +254732776700

or Email: training@fineresultsresearch.org

 

PAYMENT

Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

 

CANCELLATION POLICY

  • All requests for cancellations must be received in writing.
  • Changes will become effective on the date of written confirmation being received.

 

 

 

 

Course Date: 17/02/2020 to 21/02/2020 Duration: 5 Days Course fee: USD 800 , KES 65,000
Call us on +254 732 776 700/ +254 759 285 295
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