Hydrological appraisal using multi‑source rainfall over the Qinhuai River basin in China

What is it about?

This study evaluates the behavior of streamflows using various rainfall data in the Qinhuai River basin (China) through the probability distributed model(PDM) rainfall-runoff model. The results showed a decent performance of the model simulating streamflow over the Qinhuai River basin with 0.95 of R2 for calibration and 0.77 for validation and a root-mean-square error (RMSE), respectively, of 29.7 and 86.25. The performance criteria of this model are determined through R2 statistic and the RMSE. Rainfall data (rain gauge, C-band radar, S-band radar), Climate Prediction Center (CPC) morphing technique (CMORPH), and global precipitation measurement (GPM) satellite rainfall indicated fair adequation between the actual and simulated flows with statistic coefficient greater than 0.95 for calibration. A significant change trend at 0.05 level was found for the future runoff simulated under both RCP’s scenarios at annual time scales.

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Why is it important?

The other scope and novelty of this study are to examine the performance of the suggested methods by multiple criteria (statistical and hydrographs) for confirming the precision of the produced hydrological results from the different remote sensing data. The last scope is to analyze the behavior of flow simulation through PDM in the future under the RCP’s 4.5 and 8.5 scenarios using MK methods analysis. Very limited or no study has been found for this catchment which has used RCP’s for trend detection.

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