Measuring Aquatic Environments as a Tool for Flood Risk Management in Terms of Climate Change Dynamics

Łukasz Kuźmiński , Łukasz Szałata , Jerzy Zwoździak

Abstract

We studied climate change dynamics in southwestern Poland. The authors based the assessment of dynamics on the results of flood risk analyses. 30-day flow maxima were selected for three 10-year periods based on hydrological data on daily flows from 1986 to 2015 from the hydrological station on the Oder River in the town of Malczyce. By utilizing the selected maxima as well as selected maximum value distributions, probabilistic models of extreme flows were constructed for the three studied periods – each divided into six-month periods of “summer” and “winter.” The estimated models were used to calculate measurements of flood risks in the analyzed periods. We analyzed the studied area on the basis of the results the dynamics of flood risks.
Author Łukasz Kuźmiński (BM / DACIaQM)
Łukasz Kuźmiński,,
- Department of Process Management
, Łukasz Szałata - Wrocław University of Science and Technology (PWr)
Łukasz Szałata,,
-
, Jerzy Zwoździak - Polish Institute of Meteorology and Water Management - National Research Institute (IMGW-PIB)
Jerzy Zwoździak,,
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Journal seriesPolish Journal of Environmental Studies, ISSN 1230-1485, e-ISSN 2083-5906, (A 15 pkt)
Issue year2018
Vol27
No4
Pages1583-1592
Publication size in sheets0.5
Keywords in Englishflood risk, flow, extreme value distributions, Gumbel distribution, climate change
ASJC Classification2300 General Environmental Science; 2304 Environmental Chemistry
DOIDOI:10.15244/pjoes/76498
URL http://www.pjoes.com/Measuring-Aquatic-Environments-as-a-Tool-for-Flood-Risk-Management-in-Terms-of-Climate,76498,0,2.html
Languageen angielski
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Kuzminski_Szalata_Zwozdziak_Measuring_Aquatic_Environments.pdf 275,76 KB
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Kuzminski_L_Measuring_aquatic_environments_2018.pdf 29,8 KB
Score (nominal)15
Score sourcejournalList
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.631; WoS Impact Factor: 2018 = 1.186 (2) - 2018=1.3 (5)
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