Flood Hazard Assessment in Data-Scarce Basins: Use of alternative data and modelling techniques.


Flood Hazard Assessment in Data-Scarce Basins: Use of alternative data and modelling techniques.

Host Institution: Institute of Resource Assessment (IRA), University of Dar  es Salaam.

 Location: Dar es Salaam, Tanzania.

 Supervisors:
(1) Dr. Patrick Valimba;
(2) Dr. Madaka Tumbo.

Project Description :
Flooding is of great concern worldwide, causing damage to infrastructure, property, and loss of life. Low-income countries can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. This study explores the use of conventional and unconventional sources of information in flood hazard assessment in areas where the quantity or sufficient quality of traditional hydrometrical data are lacking. This study is expected to developments that will be used to account for errors in spatially averaged rainfall, from a sparse rain-gauge network, used as input to a rainfall-runoff model and in the development of flood hazard map for the extreme events.

Applications for this internship should be submitted via the online application system, stating clearly the title of the internship.

Deadline for applications: March 29th, 2019 – 11:59 PM (EAT).

Any inquiries about these internships should be sent to:
aims-ms4cr.internship@nexteinstein.org.