Decision Support System for Flood Hazards - Water Matters Laboratory
Development of a Guideline and a Decision Support System Model of Preparing and Designing Flood Hazard Maps in Designated Urban Areas of Iran (SIAVASH)
| Funder(s)
| Abstract
Natural phenomena such as floods, flash floods, and debris flows only become hazardous when they threaten urban infrastructure, people, or vital resources. Today, natural hazard risk assessment is considered a key decision-making tool for reducing urban vulnerability and implementing climate change adaptation strategies by governments. Understanding the impacts of floods in cities, particularly from the perspective of sustainable development, is one of the essential requirements for reducing associated risks. Constructing costly protective structures alone cannot prevent flood damages; therefore, it is crucial to integrate management measures, spatial planning, and collaboration between public and private sectors. The first step in urban flood risk management is to identify high-risk zones and develop hazard maps based on the analysis of event probability and intensity. These maps serve as a foundation for designing decision-support systems and implementing risk-reduction measures grounded in monitoring and sustainable management practices. Many countries worldwide — including Switzerland, the United States, and Japan — have learned from past natural disasters and made significant efforts to manage natural hazards and prepare hazard maps. For instance, by the end of 2017, flood hazard maps had been developed for nearly the entire territory of Switzerland and were implemented in about 73% of public land-use planning programs. In the United States, efforts by the Federal Emergency Management Agency (FEMA) to develop flood hazard maps began in 1986, and digital maps became available in 2004. Risk analysis methods, however, vary greatly between countries and even between regions. For example, only a few countries have developed quantitative guidelines for assessing the risks associated with debris-laden floods. Austria (Fiebiger, 1997) was the first to establish a comprehensive methodology for analyzing the risk of such floods, followed by Switzerland (Kienholz and Petrascheck, 2003; Jakob and Hunger, 2005), which improved the Austrian system—making these two nations pioneers in this field. In contrast, Iran is a country highly susceptible to various natural hazards, including flash floods and debris flows. The effects of climate change—particularly the increasing likelihood of floods due to more intense rainfall events—have been emphasized in numerous studies (e.g., Wang et al., 2013). Although some efforts have been made in Iran to address natural hazards, there is still no comprehensive and practical guideline for the preparation of hazard maps. Consequently, no nationwide flood hazard or risk map has yet been developed or implemented, leading to reduced effectiveness of preventive and management measures. This project aims to design and develop a decision-support system for identifying, analyzing, and preparing flood hazard maps in selected urban areas of Iran. Drawing on the Swiss experience in flood hazard analysis and management, the project seeks to create a localized and applicable model for Iran. To achieve this, the project—conducted in collaboration with researchers from the University of Applied Sciences of Eastern Switzerland (OST)—will utilize smart technologies and develop algorithms based on meteorological and hydrological data to generate flood hazard maps for the targeted regions. Furthermore, the project will propose a localized guideline for flood hazard mapping and mitigation, derived from the analyses and information obtained for vulnerable urban areas.




