Department of Mining Engineering-Industrial and ICT, Polytechnic University of Catalonia, 08242 Manresa, Spain.
Department of Mathematics, Polytechnic University of Catalonia, 08242 Manresa, Spain.
Int J Environ Res Public Health. 2021 Dec 12;18(24):13122. doi: 10.3390/ijerph182413122.
Occupational accidents in the Spanish mining industry have been substantially reduced over the last decades. However, the incidence rate shows higher values than other leading mining countries. In this regard, the research carried out reveals the factors influencing the high incidence rates of the Spanish mining sector, based on three scenarios: underground mining (UG), quarries and open pit mining (OP) and mineral processing plants (PP). The three most common types of accident for each scenario have been determined, considering the accidents in Spain between 2009 and 2018. The analysis also includes the main deviations, and physical activities that the injured worker was carrying out at the time of the accident. Besides, a model to predict the number of accidents based on the lost working days is also presented together with the incidence and severity risk index adjusted by the number of employees and their worked hours, respectively, in each scenario. These finding can be relevant to define the most effective measures and policies to reduce the number of accidents in the mining sector.
在过去几十年中,西班牙采矿业的职业事故已大幅减少。然而,其发病率仍高于其他主要采矿业国家。有鉴于此,本研究通过三个场景(地下采矿(UG)、采石场和露天采矿(OP)以及选矿厂(PP)),揭示了影响西班牙采矿业高发病率的因素。在考虑 2009 年至 2018 年期间西班牙发生的事故后,确定了每个场景中最常见的三种事故类型。该分析还包括主要偏差以及受伤工人在事故发生时所进行的体力活动。此外,还提出了一种基于工作损失天数来预测事故数量的模型,同时还根据每个场景中的员工人数及其工作时间,分别调整了发病率和严重度风险指数。这些发现对于确定减少采矿业事故数量的最有效措施和政策可能具有重要意义。