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Publikacje Pracowników Politechniki Lubelskiej

MNiSW
100
Lista 2021
Status:
Autorzy: Szeląg Bartosz, Suligowski Roman, Łagód Grzegorz, Łazuka Ewa, Wlaź Paweł, Stránský David, De Paola Francesco, Fatone Francesco
Dyscypliny:
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Rok wydania: 2022
Wersja dokumentu: Elektroniczna
Język: angielski
Numer czasopisma: 11
Wolumen/Tom: 17
Strony: 1 - 26
Impact Factor: 3,7
Web of Science® Times Cited: 1
Scopus® Cytowania: 2
Bazy: Web of Science | Scopus | PubMed | MEDLINE | PubMed Central | Google Scholar | the Chemical Abstracts Service (CAS) | EMBASE | AGRICOLA | PsycINFO | Zoological Records | FSTA | GeoRef | and RefAware
Efekt badań statutowych NIE
Finansowanie: This article was prepared within the framework of project “Miniature 3” (2019/03/X/ST8/01452) entitled “Simulation of the impact of climate change and land use dynamics using statistical models on the performance of storm overflows for small urban catchments in the short and long term” funded by NCN (National Science Center) and partially supported by the Polish Ministry of Education and Science within the grant FD-20/IS-6/999.
Materiał konferencyjny: NIE
Publikacja OA: TAK
Licencja:
Sposób udostępnienia: Otwarte czasopismo
Wersja tekstu: Ostateczna wersja opublikowana
Czas opublikowania: W momencie opublikowania
Data opublikowania w OA: 3 listopada 2022
Abstrakty: angielski
An original method for analyzing the influence of the meteorological, as well as physical-geographical conditions on the flooding of stormwater in small urban catchment areas is proposed. A logistical regression model is employed for the identification of the flooding events. The elaborated model enables to simulate the stormwater flooding in a single rainfall event, on the basis of the rainfall depth, duration, imperviousness of the catchment and its spatial distribution within the analyzed area, as well as the density of the stormwater network. The rainfall events are predicted considering the regional convective rainfall model for 32 rain gauges located in Poland, based on 44 years of rainfall data. In the study, empirical models are obtained to calculate the rainfall duration conditioning the flooding of stormwater in a small urban catchment area depending on the characteristics of the examined urban basins. The empirical models enabling to control the urbanization process of catchment areas, accounting for the local rainfall and meteorological characteristics are provided. The paper proposes a methodology for the identification of the areas especially sensitive to stormwater flooding in small urban catchment areas depending to the country scale. By employing the presented methodology, the regions with most sensitive urban catchments are identified. On this basis, a ranking of towns and cities is determined from the most sensitive to flooding in small urban catchment areas to the regions where the risk of flooding is lower. Using the method developed in the paper, maximum impervious catchment area are determined for the selected regions of the country, the exceedance of which determines the occurrence of stormwater flooding.