Open AccessFlash Flood Assessment Using GIS and the Frequency Ratio Bivariate Statistical Model – Case Study, Codlea, Romania
Author(s) -
Diana Marinela Vasile,
Simion Mehedinți,
Mihnea Cristian Popa,
FLORENTINA MARIANA TOMA,
Daniel Constantin Diaconu,
Simion Mehedinți Nature
Publication year - 2021
Publication title -
aerul şi apa, componente ale mediului
Language(s) - English
Resource type - Conference proceedings
eISSN - 2344-4401
pISSN - 2067-743X
DOI - 10.24193/awc2021_06
Subject(s) - bivariate analysis , flash flood , flood myth , natural disaster , geographic information system , geography , environmental science , environmental resource management , statistics , cartography , mathematics , meteorology , archaeology
Floods are one of the biggest natural disasters, causing significant economic and human losses. Regardless of the degree of development of urban or rural systems, floods account for about a third of all-natural disasters globally. Identifying areas vulnerable to floods is essential for better management and mitigation of their effects. The research aims to identify areas vulnerable to floods in the city of Codlea, Brașov County. Annually, the city records significant floods, one of the determining factors being its location, near the southern slope of the Perșani Mountains. The research proposes the Flash Flood Potential Index (FFPI) computation by combining GIS techniques with the Frequency Ration bivariate statistical model. The correlation of various flash-flood conditioning variables allowed us to compute the FFPI. The methodological approach could represent an essential tool for local authorities for better flood risk management.