Awards & Nominations

Quântico has received the following awards and nominations. Way to go!

Local Peoples' Choice Winner

A Flood of Ideas

Your challenge is to develop a new methodology or algorithm that leverages Earth observation and critical infrastructure datasets to estimate damages to infrastructure caused by flooding. Make a measurable impact on the resilience of nations by helping the Earth observations community contribute to the United Nations’ primary effort to reduce disaster risk!

InunDATA

Summary

It will be an application for governments and institutions with the forecast of material damage caused by floods. It aims to provide data for making more assertive decisions regarding the recovery of infrastructure damaged by floods. Among these data, costs will be recorded based on the recovery of damaged infrastructure.The application will work by collecting meteorological data from satellites of space agencies and meteorological models, such as the Cosmo Model (which is used by the National Institute of Meteorology-INMET). The Global Modeling and Assimilation Office (GMAO) using the GEOS-5 weather forecast model will also be used.

How We Addressed This Challenge

An application to optimize decision-making for infrastructure recovery impacted by floods, providing cost data and material losses.


It is important because with information on infrastructure recovery costs and support data for macro and micro drainage systems in urban areas, governments and civil society agents can base their planning on resource allocation in the face of recurrent flooding.


In these models Runoff coefficients will be parameterized for each surface (such as asphalt, pavement and ceramic tile) in order to know the flow of rainwater runoff in each location.


We hope to contribute to governments and civil society institutions in measuring damage caused by floods.

How We Developed This Project

Only in Brazil , IBGE points to 8.2 million people under risk of flooding or landslide. In Salvador, almost half of the population (about 1.2 million people) is settled in areas at risk of collapse or flood. For us, the subject is extremely current and requires an agile response.


These data will feed analyzes of pluviometric indexes that will enter into critical flow equations to measure the support capacity of urban macro and micro-drainage systems (each area, each avenue and each micro-basin). And they will also predict material damage to the infrastructure of cities in the case of partial failure or systems.


For that, the software will work completely online and automated, connected to the Autodesk platform, Infraworks. With this technology, we will have data on topographic levels of city land so it will be possible to create a three-dimensional model of critical regions regarding the incidence of rainfall and natural disasters.


In these models Runoff coefficients will be parameterized for each surface (such as asphalt, pavement and ceramic tile) in order to know the flow of rainwater's runoff in each location. IoT (Internet of Things) technology will also be used to capture data and Big Data technology will be used to store it.


The use of these technologies integrated with the Infraworks platform software helps the document management and integration processes, optimizes the accuracy of reports and contributes to a more assertive data analysis.

How We Used Space Agency Data in This Project

The Global Modeling and Assimilation Office (GMAO) using the GEOS-5 weather forecast model will be used.

Data & Resources

Satellite data from INMET and space agencies such as NASA, ESA, JAXA and CSA,

https://earthexplorer.usgs.gov/; statistical data from IBGE and Defesa Civil; media Provided by Gabriel Vivam (Autodesk Product Head).

Tags
#Floods #criticalstructures #infrastructure #3Dmodeling
Judging
This project was submitted for consideration during the Space Apps Judging process.