Publications

Chen, DJ; He, Y (2025). Enhancing river discharge inversion for the midstream Jialing River (China) using the Google Earth Engine platform. JOURNAL OF HYDROINFORMATICS, 27(2), 228-244.

Abstract
This study focused on the Jinxi section of the Jialing River, utilizing data from Landsat 8, Sentinel-2, and MODIS accessed via the Google Earth Engine (GEE) platform. The objective was to estimate runoff by applying three models: the improved Manning's formula (Model 1), the relationship fitting method (Model 2), and the C/M signal method (Model 3). The models were evaluated based on their accuracy in runoff inversion, the influence of hydraulic parameters, and their suitability for medium-sized rivers. The results indicated that all three models performed well in simulating runoff, with Nash-Sutcliffe Efficiency coefficients exceeding 0.90. The root mean square error (RMSE) for the improved Manning's formula, the relationship fitting method, and the C/M signal method were 50.2, 117.1, and 69.5 m(3)/s, respectively, corresponding to relative RMSE (RRMSE) of 4.71, 16.15, and 5.88%. It was observed that both the improved Manning's formula and the C/M signal method generally underestimated flow, while the relationship fitting method tended to overestimate it. Overall, the improved Manning's formula and the C/M signal method outperformed the relationship fitting method in terms of accuracy and applicability.

DOI:
10.2166/hydro.2025.217

ISSN:
1465-1734