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Summary of my recent publication titled "Performance Evaluation of Lumped Conceptual Rainfall-Runoff Genie Rural (GR) Hydrological Models for Streamflow Simulation"



 As a hydrologist, I recently conducted a study to evaluate the performance of three lumped conceptual rainfall-runoff models, GR4J, GR5J, and GR6J, in estimating runoff in a sub-basin of the Bharathapuzha river basin in Kerala. Our findings showed that the GR4J model performed better than the GR5J and GR6J models in estimating streamflow.

During the validation period, the NSE and R values were better than those during the calibration period for all three GR models. While the PBIAS values during the calibration period were better than those during the validation period for all three GR models, all three models showed a negative value of PBIAS in both calibration and validation periods, indicating an overestimation of streamflow by the models.

Furthermore, we found that the GR4J model overestimated streamflow the least in both the calibration and validation periods. In addition, the GR4J and GR6J models outperformed the GR5J model in terms of NSE, PBIAS, and R values.

Overall, our evaluation of the statistical indices indicated that all three GR models provided satisfactory results. Our study highlights the importance of evaluating and comparing different models to identify the most appropriate one for a given location or watershed. Such evaluations can help improve the accuracy of runoff estimates and enhance water resource management and planning.

Here is the link of full-length paper: https://doi.org/10.1007/978-981-19-9147-9_22

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