水文研究，水文模拟，洪涝灾害风险模拟预测

论文题目：黄河上游多尺度智能耦合模型及风险分析应用 数据在研究中的作用：基础数据 论文类型：硕士论文 导师姓名：苑希民

Paper title：Spatial Scale Effects of Runoff and Its Driving Factors: A Case Study of the Yellow River Basin, China Paper abstract：Effective water resource management requires a comprehensive understanding of how runoff processes operate at different scales and how they interconnect across these scales. However, the existence of scale effects limits the ability to directly establish a spatial scaling rule that translates runoff research outcomes from fine to broad scales, and vice versa. Previous studies have mainly focused on the scale effects of micro-scale research areas, with less attention given to the scale effects between large-scale basins. Furthermore, traditional point-based, short-term, or infrequent measurements are insufficient to accurately capture the nonlinear characteristics of large-scale runoff processes. To address these issues, interpretable machine learning methods were used to analyze the runoff processes of multiple nested watersheds in the Yellow River Basin (YRB). This study assessed the spatial scale effects of runoff in large-scale basins and the driving factors of scale effects. Results indicate that the runoff coefficient (RC) of most watersheds in the YRB exhibits a multiple scaling effect, and the spatial structure of RC varies within different scale ranges. There is a significant nonlinear relationship between the RC and watershed area. The variation of RC with scale (scale effect) is not merely a single trend of change, but rather more complex and variable. Additionally, scale effects exhibit scale thresholds. The RC of the YRB decreases and then increases from upstream to downstream, with the RC in the middle reaches generally being smaller. Surface conditions are the main driving factors for the scale effects of large-scale watersheds, while the climate-related variables are the main driving factors for small and medium-sized watersheds. The rainfall distribution significantly impacts the scale effects in small and medium-sized watersheds. The impact of surface conditions on scale effects will gradually become apparent as the watershed scale increases. Paper type：期刊论文 Tutor：尤烽骅

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