水力发电2026，Vol.52Issue(6)：16-21,6.
不同雨量站点密度条件下多源降水融合精度评估
Evaluation of Multi-source Precipitation Merging Accuracy under Different Rainfall Station Densities
摘要
Abstract
In order to systematically evaluate the influence of rainfall station density on multi-source precipitation merging accuracy,the Huanren Basin is used as a case study,where eight station-density schemes are established,the random forest(RF)algorithm is applied to merge the near-real-time IMERG and GSMaP product series,and the resulting merged outputs are comprehensively evaluated in terms of statistical correlation,error characteristics,and event-detection capability.The results show that:(a)the RF-based merged products consistently outperform individual satellite products across all density scenarios,even under very sparse observational networks,and the merged estimates exhibit clear improvements in correlation,root-mean-square error,mean absolute error and detection rate compared with the best single-source product;and(b)the merging accuracy improves nonlinearly as the station density decreases,with a critical threshold identified at approximately 1 700 km2/station,and when the station density is greater than this threshold,the accuracy improvement is significant,whereas below this threshold the gains become limited.关键词
雨量站点密度/降水融合/精度评估/随机森林/桓仁流域Key words
rainfall station density/precipitation merging/precipitation evaluation/random forest/Huanren Basin分类
天文与地球科学引用本文复制引用
倪欣宇,艾家棋,叶磊..不同雨量站点密度条件下多源降水融合精度评估[J].水力发电,2026,52(6):16-21,6.基金项目
国家自然科学基金资助项目(52322901) （52322901）
