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Sieć Baysowska jako narzędzie wspierające proces zarządzania ryzykiem powodziowym na przykładzie ochrony dziedzictwa kulturowego

100%

Kuzminski L.

Ekonomia i Środowisko

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2016

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nr 2[57]

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The Bayesian network as a tool supporting flood risk management – an example of cultural heritage protection

100%

Kuzminski L.

Ekonomia i Środowisko

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2016

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nr 2[57]

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Measuring aquatic environments as a tool for flood risk management in terms of climate change dynamics

51%

Kuzminski L., Szalata L., Zwozdziak J.

Polish Journal of Environmental Studies

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2018

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tom 27

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nr 4

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.

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Assessing flood risk dynamics on the oder river within the context of socio-economic consequences and lasting sustainable development

51%

Szalata L., Kuzminski L., Zwozdziak J.

Polish Journal of Environmental Studies

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2018

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tom 27

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nr 3

We carried out a probabilistic analysis of the dynamics of flood risks for the selected area of the Oder River basin. The authors based their risk dynamics assessment on results from the distributions of the maximum values for a selected hydrological characteristic, namely flow rate. On the basis of the daily flow data from 1994-2013 collected at a hydrological station on the Oder River in the town of Malczyce, 30-day flow maxima were selected individually for four five-year periods. Then, a probabilistic model of maximal flow was estimated on the basis of these peaks for each five-year period. The resulting models were used to estimate flood risks and analyze the dynamics of the studied area.

Ograniczanie wyników

2 Ekonomia i Środowisko

2 Polish Journal of Environmental Studies

4 Kuzminski L.

2 Szalata L.

2 Zwozdziak J.

2 2018

2 2016

Sieć Baysowska jako narzędzie wspierające proces zarządzania ryzykiem powodziowym na przykładzie ochrony dziedzictwa kulturowego

The Bayesian network as a tool supporting flood risk management – an example of cultural heritage protection

Measuring aquatic environments as a tool for flood risk management in terms of climate change dynamics

Assessing flood risk dynamics on the oder river within the context of socio-economic consequences and lasting sustainable development