Wyniki wyszukiwania - BazTech

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Criteria for the quality of the effects of waste management targets in 2015-2017 in the countries of the European Union

Kuźmiński Łukasz, Jaworski Jarosław, Miązek Paweł, Gawlik Andrzej, Jakubowska Agnieszka, Łopatka Agnieszka, Norek Tomasz

Journal of Sustainable Development of Transport and Logistics

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2023

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Vol. 8, No. 2

6--22

EN

For many years, the amount of waste generated on a global scale has shown an increasing tendency and their management and logistic is becoming a growing problem for most countries in the world. Waste management is an important issue to be addressed, as it concerns the three basic pillars of sustainable development: social, economic, and environmental. Therefore, it seems necessary to take initiatives to reduce the amount of waste generated and improve the waste management system. The article aims to analyse changes in the way of waste management and logistics in the European Union countries and the classification of these countries on the basis of the achieved effects in waste management. The article analyses three selected factors that reflect the effects of achieving environmental objectives in waste management. The cluster analysis method was used for the analysis. It found that EU countries differ in the quality of the results achieved in waste management, depending on the achievement of environmental management and sustainability objectives. In addition, the results of the analysis showed that the time factor has a significant impact on the classification of countries. High dynamics of the quality of effects in waste management were observed in the period under review.

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Application of the maxima distribution to the evaluation of the variability of flood risks in the Odra River basin on the basis of quarterly maxima of daily water levels

Szałata Łukasz, Kuźmiński Łukasz, Zwoździak Jerzy

Environment Protection Engineering

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2019

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Vol. 45, nr 2

127--140

EN

The method of assessing the flood risk variability has been presented based on maximum value distributions. Hydrological data were used in the form of daily water levels for the period 1981-2013. The collected data originate from the Malczyce Hydrological Station on the 300th km of the Odra River. To assess the risk of flooding based on the collected data quarterly highs were selected. As a measure of flood risk, the authors suggested the probability of exceeding the emergency level in the studied section of the river. This risk was calculated using the theoretical distribution function of the quarterly heights of the water level. The study used the Gumbel distribution. A special attention was paid to the possibility of using the presented solutions for an integrated flood risk management process in accordance with applicable national and European legislation.

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Odra River in Lower Silesia: probabilistic analysis of flood risk dynamics as part of sustainable development of water management

Kuźmiński Łukasz, Halama Arkadiusz

Managerial Economics

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2018

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Vol. 19, no. 2

205--225

EN

One of most common natural catastrophes in Poland are undoubtedly floods. Climatic change contributes to more and more often and violent occurrences of the maximum flow in rivers, which increases flood damage. Inadequate land management and the unjustified belief in the effectiveness of technical flood control measures can also contribute to flood damage. The development of water management (including flood protection) should be carried out in a sustainable way by integrating social, environmental, and economic objectives. In flood protection, those measures that are least invasive to the natural environment should be used first; in particular, non-technical flood protection methods (e.g., flood risk assessment and management, and the proper definition and management of flood plains). One of the bases for the sustainable development of water management is the preparation of models that can help us calculate the likelihood of maximum flow and to identify areas that are at risk of flooding. On this basis, the proper spatial policy and prevention of flood effects will be possible. This article presents the probabilistic analysis carried out on the flood risk dynamics for a selected area of the Odra River basin. The authors based their risk dynamic assessment on the results from the distributions of the maximum values for a selected hydrological characteristic – the flow rate. Based on the daily flow data from the years of 1994–2013 collected at a hydrological station on the Odra River in Malczyce, the 30-day flow maxima were set individually for four 5-year periods. Then, a probabilistic model of the maximum flow was developed based on these peaks for each 5-year period. The resulting models were used to estimate flood risks and for analyzing the dynamics for the studied area.