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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Statistical Modelling of Extreme Precipitation Indices Supporting Urban Spatial Planning Processes
Author(s)
Annunziata Palermo1,Lucia Chieffallo1 and Elenio Avolio2
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DOI:10.17265/2162-5298/2024.03.003
Affiliation(s)
1. Department of Civil Engineering, University of Calabria,Rende87036, Italy
2. Institute of Atmospheric Sciences and Climate, National Research Council, LameziaTerme 88046, Italy
ABSTRACT
In this paper, we analyze how statistical modelling of extreme precipitation
indices can support urban planners in the analysis and classification of the
level of climate sensitivity of the territory and in the subsequent definition
of sustainable adaptive planning and design choices. These activities are part
of a research project that addresses the issue of climate change from the urban
planning perspective to identify solutions to current and future environmental
challenges, increasing the climate resilience of infrastructures and
communities in urban, rural and coastal areas. These research activities are
based on the desire to promote integration between the approaches commonly
adopted by urban planners and climate specialists to plan adequate joint risk
reduction strategies. As part of this study, the focus will be on the risks
produced by the greater frequency and intensity of floods, assessed by the IPCC
(Intergovernmental Panel on Climate Change) as one of the key risks for Europe.
Specifically, our attention focuses on pluvial flooding, proposing the
definition of a statistical modelling of indices related to extreme
precipitation and its application to the context of the Calabria Region, in
Italy. The indices are recommended by the ETCCDI (Expert Team on Climate Change
Detection and Indices) and elaborated starting from official historical data
recorded by 146 telemetry active rain gauges, disseminated in the
experimentation context.
KEYWORDS
Urban areas, climate change, extreme precipitation.
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