The Polytechnic University of Marche (UNIVPM) is a public University established in Ancona (Italy) in 1971. It has a clear scientific and technological focus and is very active and performant in the European R&D&I. Particularly, sustainable water services and management are the core expertise of the Water and Waste Environmental Engineering Lab (WWEELab) research team at the Department of Science and Engineering of Materials, Environment and Urban Planning (SIMAU), which manages several EU-funded R&D&I projects and technical consulting activities (https://www.univpm.it/Entra/Engine/RAServeFile.php/f/P012789/Curriculum/1639668943118.pdf).
UNIVPM is the lead of Work Package 5 (WP5 - Risk management tool & guidance for decision making) of WATERUN project, which aims at developing a new methodology for stormwater management based on a risk assessment. Hence, a methodology for the calculation of the quantitative microbial risk assessment (QMRA) connected with stormwater management has been developed by researchers at UNIVPM taking into account recommendations introduced by the new water-related directive and regulations as well as relevant international guidelines, including: the “Sanitation Safety Plan (WHO)”, the “Quantitative Risk Assessment: Application for Water safety Management (WHO)”, the “Technical Guidance – Water Reuse Risk Management for Agricultural Irrigation Schemes in Europe (JRC Technical Report)”, proposal of revision of the “EU Urban Wastewater Directive 91/271/ECC”, and the “Australian Guidelines for Water Recycling: Managing Health and Environmental Risks”.
Particularly, a python tool able to elaborate outputs of stormwater runoff simulation by SWMM software is at the first stage of development. The python tool will allow the calculation of the annual probability of infection and of the Disability-adjusted life years (year) for target pathogens for one year of stormwater run-off simulations. A Graphical User Interface (GUI) will guide the user for the selection of the boundary conditions of the needed risk analysis.
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Figure 1: Layout of SWMM model of a catchment basin in Santiago De Compostela and GUI of the python tool for QMRA calculation
Authors:
Francesco Fatone, Università Politecnica Delle Marche, f.fatone@univpm.it
Anna Laura Eusebi, Università Politecnica Delle Marche, a.l.eusebi@univpm.it
Massimiliano Sgroi, Università Politecnica Delle Marche, m.sgroi@univpm.it
Lucia De Simoni, Università Politecnica Delle Marche, l.desimoni@pm.univpm.it
Debora Jareta magna, Università Politecnica delle Marche, debora.jaretamagna@phd.unict.it
Bartosz Zelag, Kielce University of Technology, bartoszszelag@op.pl
Adam Kiczko, Warsaw University of Life Sciences, adam_kiczko@sggw.edu.pl
(28/06/2023)