Flood modeling in a peruvian city as a decision-making tool

Roman-Gonzalez A.; Lopez-Cuadros D.; Vargas-Cuentas N.I. · Proceedings of the International Astronautical Congress, IAC (2020)

Resumen

During the summer, different Peruvian districts suffered from heavy rains. As a result of these massive storms, cities were affected by overflows and landslides. Due to this situation, this work proposes the simulation of a flood using data collected on rainfall, elevation models, and satellite images. This simulation could help predict which areas will be affected by water advancing and what levels the rivers would grow. As a result, a prevention analysis will be obtained that will allow better decision making by local authorities. In this way, there will be a better future for vulnerable populations in the face of this type of natural disaster. © Copyright 2020 by Stefan A. Kaiser Published by Eleven International Publishing, with permission.

Instituciones: Universidad Nacional Tecnológica de Lima Sur; Universidad Nacional de Cañete; Universidad de Ciencias y Humanidades