University of Oulu

Dagmara Dżugaj, Epari Ritesh Patro, Carlo De Michele, Pawel Licznar, Scaling and intermittency in time of urban precipitation in Warsaw, Poland, Journal of Hydrology: Regional Studies, Volume 48, 2023, 101440, ISSN 2214-5818, https://doi.org/10.1016/j.ejrh.2023.101440

Scaling and intermittency in time of urban precipitation in Warsaw, Poland

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Author: Dżugaj, Dagmara1,2; Patro, Epari Ritesh3; De Michele, Carlo4;
Organizations: 1Atkins, 3100 Century Way, Thorpe Park, Leeds LS15 8ZB, United Kingdom,
2Faculty of Environmental Engineering, Wroclaw University of Science and Technology, Wrocław, Poland,
3Water, Energy and Environmental Engineering Research Unit, Faculty of Technology, University of Oulu, 90014 Oulu, Finland
4Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy
5Hydro-Engineering and Hydraulics Department, Faculty of Building Services, Hydro and Environmental Engineering, Warsaw University of Technology, 00-653 Warsaw, Poland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe20230912122808
Language: English
Published: Elsevier, 2023
Publish Date: 2023-09-12
Description:

Abstract

Study region: A network of 25 rain gauges roughly covering an area of 517.2 km² of Warsaw, in Poland.

Study focus: Scaling and intermittency of data series of rainfall intensity are investigated for each of the network rain gauges using five multifractal framework methods: spectral density analysis, functional box-counting, trace moment, probability distribution/multiple scaling, and double trace moment. Synthetic precipitation series are then generated by means of continuous universal random cascade models. Cascade generators are defined by universal parameters calculated for selected Warsaw rain gauges, or rain gauge clusters displaying similarity of multifractal parameters. The generated synthetic precipitation time series are subject to statistical evaluation by comparing the complementary cumulative distribution function and the intermittency calculated for synthetic versus observed data. Finally, a novel filtering algorithm is proposed to correct the intermittency characteristics of synthetic precipitation time series.

New hydrological insights: Based on our analyses, the temporal structure of the recorded Warsaw precipitation time series is found to be a multifractal set characterized by a scaling behaviour over a wide range of scales. Furthermore, it has been observed that most Warsaw rain gauges, have a distinct similarity of multifractal properties. It has also been demonstrated that, for the first time in Poland, the universal continuous cascades could be used in practice for the generation of synthetic rainfall series at fine (1-min) temporal resolution.

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Series: Journal of hydrology. Regional studies
ISSN: 2214-5818
ISSN-E: 2214-5818
ISSN-L: 2214-5818
Volume: 48
Article number: 101440
DOI: 10.1016/j.ejrh.2023.101440
OADOI: https://oadoi.org/10.1016/j.ejrh.2023.101440
Type of Publication: A1 Journal article – refereed
Field of Science: 1172 Environmental sciences
218 Environmental engineering
1171 Geosciences
114 Physical sciences
Subjects:
Copyright information: © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
  https://creativecommons.org/licenses/by-nc-nd/4.0/