ESTIMATE PRIMARY IMPACTS ON THE ENVIRONMENT DURING THE CONSTRUCTION OF THE TUNNEL ZENICA ON THE CORRODOR VC
Journal Title: Engineering and Technology Journal - Year 2022, Vol 7, Issue 11
Abstract
During the execution of works on the construction of the tunnel Zenica, there is a certain number of activities that can cause negative consequences for the environment. In this regard, the greatest danger is represented by the technological operations of works such as: mechanical excavation, blasting, deep excavations, destruction, and removal of the natural covering layer. Also, construction machines pose a potential danger from spills or accidental spills of oil and oil derivatives, discarding of motor oils and similar waste. Uncontrolled depositing of excavated material, and a plateau for parking machinery near surface and underground water can cause negative consequences for the environment. In this paper, an assessment of the primary environmental pollutants during the excavation of the tunnel Zenica was carried out, i.e., dust and wastewater emissions during construction.
Authors and Affiliations
Ekrem BektaševićBošnjak Reuf Kadrić
Keywords
Related Articles
- EP ID EP717188
- DOI 10.47191/etj/v7i11.09
- Views 64
- Downloads 0
Project Workforce Management Using Cloud & and Cost Optimization with Artificial Intelligence
In the era of digital transformation, effective workforce management and cost optimization have emerged as critical priorities for organizations worldwide. This study explores the integration of cloud-based technologies...
Synthesis of Acid Co-Precipitated WO3 Nanoflowers and Its Characterization: Structural, Optical, and Morphological Insights
In the current research, we delve into the synthesis and comprehensive characterization of tungsten oxide (WO₃) nanostructures, unveiling novel insights that promise advancements in various technological realms through a...
Aspects and Dimensions of the Concept of Housing in Contemporary Research Approaches Worldwide
This paper explores definitions and approaches to housing and residence. Many universities and labs have identified effective strategies for improving housing quality. Despite extensive studies on housing quality improve...
Enhancing Bank Loan Approval Efficiency Using Machine Learning: An Ensemble Model Approach
Lending is a major source of income for banks, but identifying worthy borrowers who will consistently repay loans is a constant problem. From a pool of loan applicants, conventional selection procedures frequently fail t...
A MODEL FOR DETECTION AND PREVENTION OF UNBALANCED BID IN THE PUBLIC WORK PROCUREMENT PROCESS IN INDIA
Indian Public procurement works contribute almost 30% of the total GDP, most of the large and massively funded projects are public-funded, utilizing the tax collected from the citizens of the country. Hence, any discrepa...