Abstract
This study proposes a novel generalized storage function (GSF) model for water level estimation from the rating curve relationship by considering (i) the spatial distribution of rainfall over the basin and (ii) incorporating all the possible inflow and outflow components to reduce the uncertainties involved. The proposed GSF model, along with three other models, was then applied in two watersheds of Japan to examine its applicability in different types of watersheds with optimized parameters: (i) the Iga watershed, a semi-urban watershed and (ii) the Oto watershed, a rural watershed. Further, the proposed model’s effectiveness was identified based on hydrograph reproducibility, Akaike information criterion, and Akaike weight. The results showed that the GSF model performed well in both watersheds compared to the other models. Moreover, the Morris global sensitivity method has used to analyze the sensitivity of the GSF model parameters for the objective function of root mean square error.
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Acknowledgements
This study was carried out as a part of the research project entitled “Study on guerrilla rainstorm, flood, and water pollution in megacity urban watersheds - Countermeasures against megacity urban water-related disasters bipolarized by climate change” supported by Tokyo Metropolitan Government, Japan (Represented by Prof. Akira Kawamura). Thanks are also given to the Okazaki City Government for providing the dataset.
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Gopalan, S.P., Kawamura, A., Amaguchi, H. et al. A Generalized Storage Function Model for the Water Level Estimation Using Rating Curve Relationship. Water Resour Manage 34, 2603–2619 (2020). https://doi.org/10.1007/s11269-020-02585-6
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DOI: https://doi.org/10.1007/s11269-020-02585-6