2. SHORT BIO
Erick Tamba Mnyali
Bsc. Environmental sciences and
management (SUA)| GIS Specialist|
Researcher|
YouthMappers Regional Ambassador
2021/2022
Career interest
Geospatial technology for sustainable
development
3. SMCOSE YOUTHMAPPERS
FIELD PROJECT PROGRAM
TITLE: Flood vulnerability mapping
Location: Morogoro urban, Tanzania
(February- July, 2021)
Powered by youthmappers
1
4. Challenge
Local communities vulnerable to floods experience both primary and secondary
effects such as death and spread of diseases. with lack of enough data for
disaster management stakeholders, Preparedness, Response, Recovery,
Planning and Mitigation is still a challenge during floods.
6. OBJECTIVES
Identify The Flood Vulnerable Areas Within Morogoro
Urban
Collecting Trash Point, Dumps and Trash Collection
Techniques Datasets In All Flood Vulnerable Areas
In Morogoro Urban
22. Presented challenge
In developing countries, Lack of effective disaster response
capabilities to floods events is linked to outdated maps and
insufficient data that address risks and vulnerability challenges
in local communities.
In this context people at risk, rescue teams as well as
other stakeholders have little or no understanding on
evacuation routes and safe areas before and during
flood events
27. PROPOSED PROJECT TITLE
MAPPING FLOOD PROTECTION ZONES AND EVACUATION ROUTES
TO IMPROVE RESPONSE CAPABILITIES (EWS)
A case study of Two Vulnerable communities in Morogoro region, Tanzania
(Ifakara Town Council and Morogoro municipality)
31. 2. Flood protection zones and evacuation routes mapping using GIS
techniques
▪ Flood risk mapping using remote sensing data such as digital elevation
model as well as field data collected to identify flood protection zones
and mapping the evacuation routes
Terrain analysis
Network analysis
32. 3. Project findings dissemination
▪ Workshop and Trainings to stakeholders
(local government rescue teams, institutions and NGOs)
▪ Data sharing and access
OpenStreetMap
Climate Risk Database
33. TIMELINE
Concept
Note
Pitch
deck
Milestone
1
Work shops
and data
Sharing
Data Analysis
and map layouts
(web and base
maps)
Kick start
and
partnerships
Community
Data
gathering
Defining
flood
secondary
challenges
and
Partnerships
Milestone
2
Milestone
3
Project
extension
JANUARY-MARCH 2022
1 Month 1 Month 2 Month ----------
2 Month
34. Synergies of proposed project
This project proposed shall help produce data that will
help effectively train the machine learning model
(ongoing project) for predicting flash floods in Morogoro
municipal.
40. LESSON LEARNT
Open source geospatial tools have proved to be reliable and
effective in collection of Community based data to address
solutions and challenges in our local communities