The article deals with a novel hybrid model to produce vulnerability maps. So far, a combination of data-driven techniques and geographic information systems has been used to measure flood vulnerability.

Currently, there is a Europe-wide standardized approach to flood risk management, which contains many important elements, but from the point of view of research has deficits in the risk analysis and risk mitigation. This article presents new developed tools for different spectrums of the risk chain within the framework of two BMBF-funded projects.

The article discusses a case study in southwestern Iran. According to the results, retention dams and flood diversions are the best alternative for flood protection, while dykes and dams are not justifiable in most cases.

This study aims to determine the effect of the most emblematic teleconnection, El Niño, on the expected damage due to floods with short return periods in the Kan River basin, Iran. The results show that El Niño increased the annual precipitation by 12.2 % and indicate the importance of small flood events in flood management planning during El Niño.

In this paper, the Kan catchment in Tehran Province (Iran) is used to study how the movement of thunderstorms can affect the generation of surface runoff, water levels, and floods in a catchment. The significance of precipitation velocity and direction of movement on the estimation and probability of flood events, respectively, is demonstrated.

This study aims to provide a tool based on geospatial information science (GIS) analyses to support decision-makers in identifying flood hazards in urban areas, in which previous flood data, flood causative factors, and urban infrastructure data are not adequately available. The results indicated the high-susceptible areas around the floodway.

This Article describes the Floodlabel as multi-stage concept that explains to homeowners their flood risk and provides instruction as to how to protect their property against damage caused by floods.  As a topic of international relevance, it discusses its adaptation for special needs and conditions on the ground in Ghana and Iran.

The paper presents a multi-criteria approach for assessing urban flood resilience in the districts in Tehran. The results indicate that such place-based assessments may track community performance over time and provide a tool to decision-makers in order to integrate resilience thinking into urban development and resilience-oriented urban planning.

In this study, a combination of machine learning and decision-making methods are used to evaluate flood risk in an urban setting in Southern Iran. The results yielded by urban flood hazard modeling indicate urban drainage density and distance to urban drainages as the most important factors.

In this Letter to the Editor the authors refer to the 2019 floods that inundated twenty-five provinces of Iran, and how people perceived their risk. There were numerous examples of people’s low-risk perception, where although police severely warned residents and travelers in advance many people ignored these warnings and entered the risk zone.

This paper aims at analyzing the trend of national budget allocation in Iran to evaluate the focus of the Iranian state on the four phases of Preparedness, Mitigation, Response, and Recovery and propose modifications. It is concluded that Iranian governments in time of disasters budgeted primarily on response and recovery.

This work aims to analyze school textbooks to find the representation of natural hazards in Iran, which is vital for supporting children in disaster situations. Findings of this work show that students receive information about disaster risk reduction (DRR) education through the primary and secondary grade levels in all 12 grades.

This article deals with the handling of natural disasters in Iran by presenting and critically examining disaster management bodies and procedures. It pleads for the creation of an independent NDMO, an equal consideration of all aspects of disaster management, the establishment of disaster databases and a comprehensive education of the population.

According to the authors of this article it is predicted that health subsequences of Iran 2019 flood such as communicable diseases vary due to the geographical extent and different climates of flooded areas. Long term and short-term preventive measures can however reduce significantly the high impact of flooding in Iran.

This review aimed to discuss the potential undesirable outcomes of the flooding which occured in Iran in 2019. After a comprehensive search of databases and an assesment of the damage caused by the flooding in Iran, it was concluded that various risk factors could favour the increase of incidences of infectious diseases which could cause epidemics.

The article summarizes the results of a study investigating the vulnerabilities of 1622 schools to flood hazard in 2 provinces in Iran. The study used four machine learning models to generate flood susceptibility maps. The results show that 54% of rural students and 8% of urban students study schools in locations of very high flood risk.