A Location Intelligence System for the Assessment of Pluvial Flooding Risk and the Identification of Storm Water Pollutant Sources from Roads in Suburbanised Areas

作者：Szewranski Szymon^*; Chruscinski Jakub; van Hoof Joost; Kazak Jan K; Swiader Malgorzata; Tokarczyk Dorociak Katarzyna; Zmuda Romuald

来源：Water, 2018, 10(6): UNSP 746.

DOI：10.3390/w10060746

• location intelligence
• pluvial flood risk assessment
• road run-off management
• storm water pollutant sources
• green infrastructure
• blue infrastructure
• urban climate adaptation

The interplay of an ever-growing number of inhabitants, sprawl development, soil sealing, changes in urban traffic characteristics, as well as observed climate trends gives rise to more frequent pluvial flooding in cities, a higher run-off of water, and an increasing pollution of surface water. The aim of this research is to develop a location intelligence system for the assessment of pluvial flooding risks and the identification of storm water pollutant sources from roads in newly-developed areas. The system combines geographic information systems and business intelligence software, and it is based on the original Pluvial Flood Risk Assessment tool. The location intelligence system effectively identifies the spatial and temporal distribution of pluvial flood risks, allows to preliminarily evaluate the total run-off from roads, and helps localise potential places for new water management infrastructure. Further improvements concern the modelling of a flow accumulation and drainage system, the application of weather radar precipitation data, and traffic monitoring and modelling.

• 出版日期2018-6