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

流入 排水 环境科学 地下水 地表径流 水文学(农业) 季节性 水文地质学 水资源管理 地质学 岩土工程 生态学 海洋学 生物
作者
Shuai Wang,Bo Cao,Ru Bai,Guangwei Liu
出处
期刊:Environmental Modelling and Software [Elsevier BV]
卷期号:173: 105957-105957
标识
DOI:10.1016/j.envsoft.2024.105957
摘要

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.
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