The article is devoted to identifying of trend-seasonal components using iterative methods of the non-ferrous scrap metal collection filtering. According to the study objectives and the results of the time series characteristics analysis, the Chetverikov method implementation as a method for data filtering is described stepwise. Calculations and construction of diagrams were carried out in MS Excel. The study result is a visualized stepwise filtering of the trend-seasonal time series of the non-ferrous scrap mass in two positions - copper and brass, as well as the values of the seasonal component and specific seasonality indices calculated using the Chetverikov method, which makes it possible to study further the use and predicting of the non-ferrous metal scrap collection rate in the region, to select effective forecasting methods and models.

本文致力于使用有色金属废料收集过滤的迭代方法识别趋势季节性成分。根据研究目标和时间序列特征分析的结果，逐步描述了切特韦里科夫方法作为一种数据过滤方法的实现。图表的计算和构建在 MS Excel 中进行。研究结果是对铜和黄铜两个位置的有色金属废料的趋势-季节性时间序列进行可视化逐步过滤，以及使用 Chetverikov 方法计算的季节性分量和特定季节性指数的值，其中为进一步研究该地区有色金属废料回收率的使用和预测，选择有效的预测方法和模型提供了可能。