Russian Federation
employee
Krasnoyarsk, Russian Federation
UDC 629.113
UDC 656.61
The study aims to develop and scientifically substantiate the methodological principles for integrating an instrumental diagnostic system for fire and rescue vehicle power units into the environmental risk management strategy of seaports and river ports. The methodology is based on adapting an automated diagnostic complex to the specific conditions of port operations, employing structural-functional modelling and comparative scenario analysis. As a result, key risk factors of the port environment were formalised, and an operational criterion for ecologically sensitive zones was established – a maximum exhaust smoke opacity for fire and rescue vehicles of 0,6 m⁻¹, which is 60 % stricter than the general standard. A concept of a two-circuit environmental monitoring system for ports was developed, where the internal circuit for fire and rescue fleet diagnostics generates data for the external circuit assessing the port's cumulative impact. Modelling the response to a conditional port fire demonstrated that forming a response group from vehicles meeting this criterion reduces particulate matter emissions by 91,7 % compared to using an outdated fleet. The scientific novelty lies in developing principles for adapting operational diagnostics to port environmental safety requirements and creating a model for its integration into the risk management system. The practical significance consists in providing port operators with a toolkit for transitioning to predictive maintenance, forming a low-emission vehicle reserve, quantitatively assessing the contribution of emergency response services to the port's carbon footprint, and justifying investments in fleet modernization.
climate neutrality, carbon footprint, environmental safety, fire and rescue vehicles, soot, global warming potential, emission management
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