Reconstruction of sedimentary evolution plays a significant role in the investigation of natural groundwater contamination and stratigraphic mineral resources. In this paper, the variation in sedimentary characteristics and sedimentary evolution were studied by lithology, chronology and organic matter with the high-resolution grain size parameters of boreholes for Quaternary in northern Jianghan Basin. Following more traditional plotting of grain size parameters and summary statistics, visual categorization and analysis of grain size frequency distribution curves provided an effective measure for the identification of sedimentary facies. Combining with the Fisher model, new and highly efficient discriminant formulas were established, and tested for the validity. Additionally, the sedimentary evolution process and the provenance of different sedimentary facies were identified with the help of organic matter and δ¹³C_org data, provided geological information to explore the natural contamination of reducing arsenic ions and excessive nitrate in strata. The identification results suggest that fluvial and lacustrine sediments are dominant in the area, and the regional sedimentary environment is uniform and not affected by the transgression. The analysis results of grain size with organic matter parameters are consistent for discriminating sedimentary facies, which verified the rationality of grain size analysis and confirmed the use of organic matter content to be effective in identifying the process of fluvial and lacustrine sediments. Based on the chronological results of Optically Stimulated Luminescence dating and sedimentary facies determination, the sedimentary evolutionary process was deduced during the Quaternary for the study area. This research has important significance for the division and correlation of Quaternary borehole strata, underground contamination study, as well as environmental planning and protection.

沉积演化的重建在研究天然地下水污染和地层矿物资源方面起着重要作用。本文通过岩性，年代学和有机质特征，利用江汉盆地北部第四系钻孔的高分辨率粒度参数，研究了沉积特征和沉积演化的变化。在对粒度参数和摘要统计进行更传统的绘制之后，对粒度频率分布曲线的目视分类和分析为识别沉积相提供了一种有效的措施。结合Fisher模型，建立了新的高效判别公式，并对其有效性进行了测试。此外，δ ¹³ C ^_组织数据，提供了地质信息，以探索地层中还原性砷离子和过量硝酸盐的自然污染。识别结果表明，该地区河流和湖泊沉积物占主导地位，区域沉积环境是均匀的，不受海侵的影响。用有机质参数对粒度进行分析的结果与沉积相的判别是一致的，这证明了粒度分析的合理性，并证实了利用有机质含量可以有效地识别河流和湖相沉积物的过程。根据光激发发光年代测定的年代学结果和沉积相的确定，推论了第四纪研究区的沉积演化过程。