<b>Unraveling Hydrological Dynamics</b><b> in the Qaidam Basin, Qinghai-Tibet Plateau</b>

Our work introduces an interdisciplinary framework that combines newly collected water isotopic data with previously published records. We utilize advanced spatial interpolation techniques, including Inverse Distance Weighting (IDW) and Ordinary Kriging, alongside the HYSPLIT model, to track moisture transport trajectories. These spatial analysis techniques allow us to visualize isotopic gradients across the basin and identify correlations with geographical factors, such as elevation and proximity to moisture sources. Additionally, the HYSPLIT model is employed to simulate moisture transport pathways and sources, utilizing backward trajectory analysis to trace the origins of moisture. This modeling approach, integrated with reanalysis data, provides valuable insights into the transport of water vapor and its impact on precipitation patterns. This, in turn, enhances our understanding of evaporation processes and moisture recycling in the Qaidam Basin. This study underscores the critical importance of region-specific water management strategies to address the challenges posed by climate change and water scarcity. By integrating isotopic data with moisture source analysis, our research provides essential insights for sustainable water resource management, while highlighting the need for continued monitoring to mitigate future hydrological challenges in arid regions like the Qaidam Basin.