Luminescence ages of eight sandy beach-ridge samples from the Krishna–Godavari delta region on the east coast of India were obtained by synthesizing ages based on three luminescence signals, i.e., optically stimulated luminescence (OSL) from quartz, infrared stimulated luminescence (IRSL), and post-infrared (pIR) IRSL_290°C from feldspar. Standard statistical procedures and hierarchical Bayesian modeling (ChronoModel) were used to synthesize the ages that are consistent within an uncertainty of ±10% and conforming to most of the published radiocarbon (AMS ¹⁴C) ages from this region. This approach, therefore, provides for the conjunctive use of luminescence signals of quartz and feldspar for a single and possibly more accurate age. Additionally, our study showed the potential that the reworked sediment could be identified, and pristine beach ridge sand grains could be isolated using single grain quartz luminescence measurements using appropriate statistical models. Further methodological development may improve the precision of these ages, if not the accuracy.

来自印度东海岸克里希纳-哥达瓦河三角洲地区的八个沙滩脊样品的发光年龄是通过基于三个发光信号的年龄合成得到的，即，石英的光学激发发光（OSL），红外激发发光（IRSL） ，长石的红外（IR）IRSL为_290°C。使用标准统计程序和分级贝叶斯建模（ChronoModel）来合成年龄，这些年龄在±10％的不确定性内一致，并且符合大多数已发布的放射性碳（AMS ¹⁴C）来自该地区的年龄。因此，该方法提供了在单个且可能更准确的年龄下石英和长石发光信号的联合使用。此外，我们的研究表明，可以识别返工的沉积物，并可以使用适当的统计模型通过使用单晶石英发光测量来分离原始的海滩脊沙粒。进一步的方法开发可能会提高这些年龄段的准确性，如果不是这样的话。