风化基岩与烧变岩含水层严重威胁着陕北侏罗纪煤田矿井的安全生产，精确预测其富水性与工作面涌水量对矿井防治水具有重要意义。针对具有密切水力联系的风化基岩与烧变岩含水层，以陕西红柳林煤矿15217工作面所在区域为研究区，选取含水层厚度、岩性组合指数、岩石烧变及风化程度指数、岩心采取率为评价指标，提出了基于蝠鲼觅食算法优化支持向量机的含水层富水性预测方法，通过对风化基岩与烧变岩含水层富水性的精准分区预测，将工作面划分为不同富水等级的区段。在此基础上，分析经过长时间井下疏放水后的工作面采前水文地质条件，利用动静储量法对工作面不同富水等级区段的涌水量进行预测，与矿井生产过程中的涌水量实测数据相比，涌水量预测结果误差整体较小，介于0.30~6.98 m3/h，表明此预测方法可行度与准确率较高，为红柳林煤矿及类似条件矿井工作面涌水量预测提供了新的思路与方法。

As the weathered bedrock and burned rock aquifers seriously threaten the production safety of mines in the Jurassic coalfield of northern Shaanxi Province, accurate prediction of their waterrichness and water inflow at the working face is of great significance for water control in mines. Aiming at the weathered bedrock and burned rock aquifers with close hydraulic connection, the area where working face 15217 of Shaanxi Hongliulin Coal Mine is located was taken as the study area. Meanwhile, the aquifer thickness, lithological combination index, index of rock burning and weathering degree and core recovery was taken as the evaluation indexes. The prediction method for the water richness of aquifers based on the support vector machine using manta ray foraging optimization was put forward. Then, the working face was zoned according to different waterrichness levels through the accurate zoned prediction of waterrichness of the weathered bedrock and burned rock aquifers. On this basis, the hydrogeological conditions of the working face before mining were analysed after a long period of underground dewatering, and the water inflow of different water-rich zones in the working face was predicted using the dynamic and static storage method and the error of water influx prediction results was small compared with that of the water influx measured in mining activities, ranging from 0.30 to 6.98 m3/h, which indicates that this prediction method has high feasibility and accuracy. It provides new ideas and methods for the prediction of water influx in the working faces of Hongliulin Coal Mine and mines with similar conditions. provides new ideas and methods for the prediction of water influx in the working faces of Hongliulin Coal Mine and mines with similar conditions.