常规的无机水化学参数较难判别某些井田中成分相近的煤层顶板涌水水源，针对该问题，以榆横矿区某井田为研究区，在K⁺+Na⁺、Ca²⁺、Mg²⁺、Cl⁻、SO₄²⁻、HCO₃⁻、TDS（总溶解固体）等无机指标的基础上加入TOC（总有机碳）、UV₂₅₄（紫外吸光度）、DOM（溶解性有机质）等有机指标，探究无机-有机综合指标在煤层顶板涌水水源判别中的作用；利用荧光指纹技术和PARAFAC得到DOM主要组分及荧光强度，在对水样的无机、无机-有机数据集进行主成分分析（PCA）后，使用随机森林算法（RF）分别构建无机指标判别模型和无机-有机综合指标判别模型；并对8个待测水样的类型也进行了正确的判别。结果表明：综合判别模型的性能总是优于无机判别模型；在综合模型下，RF算法的平均精度、平均查准率、平均召回率和f1调和指数分别达到了93.14%、94.79%、95.08%、93.73%，较无机模型分别提高了9.71%、11.84%、12.25%、11.5%，回代准确率为98.63%；无机-有机综合指标能够显著提高煤层顶板涌水水源判别准确率。

Conventional inorganic hydrochemical parameters are difficult to distinguish the water source of coal seam roof water gushing in some mine fields. In order to solve this problem, a mine field in Yuheng Mining Area is taken as the research area. The organic indicators including TOC, UV₂₅₄ and dissolved organic matter（DOM）are added on the basis of inorganic indicators including K⁺+Na⁺, Ca²⁺, Mg²⁺, Cl⁻, SO₄²⁻, HCO₃⁻ and TDS to explore the function of inorganic-organic comprehensive index in identifying the water inrush source of coal seam roof. The main components and fluorescence intensity of DOM were obtained by fluorescence fingerprinting and PARAFAC. After principal component analysis（PCA）of the inorganic and inorganic-organic data sets of water samples, the inorganic index discriminant model and inorganic-organic comprehensive index discriminant model were constructed by using random forest algorithm（RF）. And the types of eight water samples to be tested are also correctly identified. The results show that the performance of comprehensive discriminant model is always better than that of inorganic discriminant model. Under the comprehensive model, the average precision, average precision, average recall and f1 harmonic index of RF algorithm reached 93.14%, 94.79%, 95.08% and 93.73% respectively, which increased by 9.71%, 11.84%, 12.25% and 11.5% compared with the inorganic model, and the back generation accuracy was 98.63%. The inorganic-organic comprehensive index can significantly improve the accuracy of identifying the water inrush source of coal seam roof.