Flood Risk Analysis in Shiraz, Iran Using Fuzzy Models

Abstract

Flooding is one of the most common natural disasters in Iran, which annually damages cities and nearby areas; and causes people’s death. On March 25, 2019 in Shiraz-Iran, following a heavy rainfall, the incident of a flash flood caused an extensive number of deaths, injuries, and destruction in a short run. rigorousness of the floods was extremely increased by converting flood routes and dry riverbeds to urban facilities without providing proper drainage infrastructure. Climate change was also a contributing factor to this ominous event. The identification of vulnerable elements can help us to determine high-risk zones in Shiraz and its suburbs, and the combination of the influential factors can determine vulnerability and exposure potential in facing with floods. This study considers some crucial factors and elements like slope, height, drainage density, distance of river, NDVI index and land use of the target area to determine high-risk zone in the mentioned region. To locate the high risks areas and analyzing flood risks, firstly, an (IDW) method and a fuzzy-based method in GIS were utilized to homogenize the input parameters, thereafter, the analytical hierarchy process (AHP) was used. GIS, TerrSet and Adobe Photoshop were applied to conduct this investigation and developing final results. The output of this study can facilitate providing certain scientific supports for Shiraz’s urban planning in the future.

Presenters

Sepideh Azizi
Student, Urban Planning, University of Illinois Urbana Champaign, Illinois, United States

Details

Presentation Type

Poster Session

Theme

Environmental Impacts

KEYWORDS

Flood, Natural Disaster, Environment, Climate Change, Fuzzy-based Method, GIS