Flood zoning in urban areas using hydrological modelling and survey data: Case study of Bardsir city, Kerman Province

This research explores the role of hydrological modelling in geographical information system (GIS) and survey data as crowdsourcing (CS) in flood risk management in the study area of Bardsir, Kerman Province, Iran. In order to conduct this research required spatial data including topography, land-use and hydrology were collected from relevant organization, also crowdsourced data were gathered through interview survey in the study area. Modeled and survey inundation maps of the study area were produced using HEC-RAS and crowdsourced data analysis indicating the Inundation area of 1.13 km2 and 2.25 km2, respectively. The results of comparison of these maps with the real data indicated 59.16 and 80.07 percentage accuracy. The combined inundation map of the HEC-RAS and CS showed an increase in accuracy result to 80.27 percentage indicating the effectiveness of crowdsourced data in flood risk management. Based on these results, researcher can collect crowd sourced data regarding previous flood occurrences in the study area to improve the hydrological modeling in regard to the design of flood plain extent and determining cross section of rivers. As, combined results of hydrological modeling and crowdsourcing can assist decision makers and planers in managing flood risks.