Improving the Environmental Safety Risk Assessment in Construction Using Statistical Analysis Methods

• Autorzy: Smirnova Elena , Mamedov Shirali , Shkarovskiy Alexander

Identyfikatory

DOI

10.54740/ros.2022.009

• Języki publikacji: EN

Abstrakty

EN

The article aims to assess risk for substantiating the economic and organizational efficiency of construction in the context of ecologic safety. A quantitative risk estimation was made through the Monte Carlo way for negative and positive choices to avoid ecological harm. The simulation algorithm imitated the distribution obtained from the evidence-based fit. The outcomes of a sensitivity investigation are also prepared to verify the suggestion. This risk analysis technique has a digital computer implementation. The simulation data outputs demonstrate the alternative of the general norm of validation and the acceptance of the solution, which is not harmful to the environment. In situations of uncertainty, the decision to select the optimistic flavor with high spending (to retain the reliability of the technics) but less risk pretends to be a decisive factor in the eco-friendly protection strategies of the construction project.

Słowa kluczowe

EN

ecological risk; environmental safety; Monte Carlo method; risk assessment

• Wydawca: Politechnika Koszalińska
• Czasopismo: Rocznik Ochrona Środowiska
• Rocznik: 2022
• Tom: Tom 24
• Strony: 110--128
• Opis fizyczny: Bibliogr. 32 poz., rys., tab.

Twórcy

autor

Smirnova Elena

• Saint Petersburg State University of Architecture and Civil Engineering, Russia

• https://orcid.org/0000-0002-9860-9230

autor

Mamedov Shirali

• Saint Petersburg State University of Architecture and Civil Engineering, Russia

• https://orcid.org/0000-0003-0366-1085

autor

Shkarovskiy Alexander

• Koszalin University of Technology, Poland
• Saint Petersburg State University of Architecture and Civil Engineering, Russia

• https://orcid.org/0000-0002-2381-6534

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).