Abstract:The aim of this research is to develop the Pluvial Flood Risk Assessment tool (PFRA) for rainwater management and adaptation to climate change in newly urbanised areas. PFRA allows pluvial hazard assessment, as well as pluvial flood risk mapping. The original model was created using ArcGIS software with the ArcHydro extension, and the script was written using the Python programming language. The PFRA model effectively combines information about land cover, soils, microtopography (LiDAR data), and projected hydro-meteorological conditions, which enables the identification of the spatial and temporal distribution of pluvial flood risks in newly developed areas. Further improvements to the PFRA concern the quantification of pluvial flood-related damages, the application of high resolution precipitation data, and the optimisation of coding.
This article presents a discussion about the issue of soil resource management in the context of sustainable development. These resources are one of the basic resources on Earth, conditioning the sustainable development of present and future generations by providing the capacity for food production. The study contains an indicator-based assessment of changes in available soil resources as a result of progressive urbanization processes in the suburban area of a big city. The case study was the Wrocław Larger Urban Zone in Poland. The applied methodology allowed for the valorization of urban sprawl processes on agricultural land. As a result, municipalities were divided into groups that characterize different suburbanization processes and their impact on the available soil resources. By using the proposed approach, it is possible to support the spatial development management process in order to protect the valuable components of the environment. The results of the research show that 29 rural precincts located around Wrocław have a high soil transition index (W≥50), which proves their inefficient agricultural management system on a regional scale. The study is an attempt to answer a question on the practical implementation of sustainable development goals that were included in Agenda 2030.
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 runoff 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 runoff 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.
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