Optimization of waterproofing and drainage measures for open-pit mines based on seasonal rainfall time series prediction

• Published in: Environmental modelling & software : with environment data news 2024-02, Vol.173, p.105957, Article 105957
• Main Authors: Wang, Shuai, Cao, Bo, Bai, Runcai, Liu, Guangwei
• Format: Article
• Language: English
• Subjects: Drainage; Open-pit mine; Optimal design; Rainfall prediction; Seasonal time series
• ISSN: 1364-8152
• DOI: 10.1016/j.envsoft.2024.105957

Influenced by seasonal rainfall, the total groundwater inflow at the bottom of open-pit mines exhibits seasonal fluctuations. However, effective methods are lacking for forecasting groundwater inflow because groundwater inflow mechanisms remain unclear, thus hindering targeted seasonal adjustments of drainage measures. Consequently, the drainage capacity may be underutilized and emergency response capabilities may be insufficient. Addressing the aforementioned issues, this study investigated the intrinsic relationship between rainfall and groundwater inflow using seasonal time series analysis and proposes a groundwater inflow prediction model, aiming to explore the inherent correlation between precipitation and runoff. Moreover, seasonal adjustment strategies for drainage measures were explored. The proposed model can enhance the economic viability of drainage projects while ensuring safety. It addresses the key challenge of adapting measures to seasonal variations and provides a conceptual framework for optimizing drainage measures in open-pit mining. [Display omitted] •Considerate the pre-existing soil moisture in surface runoff calculation.•Proposed a rainfall forecasting method based on decomposition-reconstruction.•Derived the formula for the total water inflow at the pit bottom in open-pit mine.•Innovatively propose the seasonal optimization strategy for drainage measures.