水力发电学报2025，Vol.44Issue(5)：61-71,11.DOI:10.11660/slfdxb.20250506
同化卫星测高数据和水文模型的河道日流量估算
Estimating daily flow at river cross-sections by assimilating satellite altimetry data and hydrological model
摘要
Abstract
Satellite altimetry data offer a promising approach to the hydrological study of data-scarce regions,but the long revisit cycles limit its capability to collect daily data and its applicability to hydrological modeling and forecasting.By assimilating altimetry data into the Xin'anjiang hydrological model,this study presents a new high-accuracy,low-cost method for estimating the daily flow at river cross sections.We first retrieve the river's water levels using the Sentinel-3A altimetry data and evaluate them against concurrent in-situ data,then integrate the empirical stage-discharge relationship to constrain the Xin'anjiang model.A case study of the Wujiang River basin demonstrates a high correlation coefficient(0.94)exists between the satellite-based water levels and their in-situ measurements.Under the constraint of altimetry data,the Xin'anjiang model has achieved the Kling-Gupta Efficiency values of 0.87 and 0.69 for calibration and validation,respectively.The Xin'anjiang model accuracy for high flow simulations constrained by altimetry water levels is considerably higher than that constrained by in-situ observed discharges.This study offers a new approach to help flood and drought disaster control and water resources management in data-scarce regions.关键词
卫星测高/数据同化/河道流量/径流模拟/水文模型Key words
satellite altimetry/data assimilation/river flow/streamflow simulation/hydrological model calibration分类
计算机与自动化引用本文复制引用
马秋梅,叶欣,曾凌,宋润峰,李继清,纪昌明..同化卫星测高数据和水文模型的河道日流量估算[J].水力发电学报,2025,44(5):61-71,11.基金项目
昌平科技副总专项项目课题(FZKH23010592) （FZKH23010592）
中央高校基本科研业务费专项资金资助(2023MS075) （2023MS075）
国家自然科学基金(52109016) （52109016）
