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Title
Japanese: 
English:Predicting dam‐related downstream geomorphic response with widely available stream gauge data: A case study of the Godavari River Basin, India 
Author
Japanese: Joy SANYAL, Priyanka Dasgupta, 鼎信次郎.  
English: Joy SANYAL, Priyanka Dasgupta, Shinjiro Kanae.  
Language English 
Journal/Book name
Japanese: 
English:Singapore Journal of Tropical Geography 
Volume, Number, Page Volume 41    Issue 2    p. 248-298
Published date May 19, 2020 
Publisher
Japanese: 
English:John Wiley & Sons Australia, Ltd 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL https://onlinelibrary.wiley.com/doi/full/10.1111/sjtg.12323
 
DOI https://doi.org/10.1111/sjtg.12323
Abstract Dam-related downstream adjustments of riverbeds are normally investigated by analysing the trend in sediment supply and high flow events during the pre- and post-dam periods. The required data for existing predictive models is not measured at river gauges, which limits the application of these tools. We derived the frequency of sediment-transporting streamflow events (T*) and upstream sediment supply (S*) in the pre- and post-dam periods with widely available gauged records and predicted changes in the downstream riverbed by adapting an existing model. Ten gauging stations in the Godavari River Basin, India, located downstream of dams, were chosen as study sites. Annually surveyed cross-sections at each site validated the accuracy of the predicted dam-related downstream changes. Then, a regression equation (R2 = 0.75) was established between T*/S* (independent variable) and changes in the downstream bed elevation (dependent variable) for the Godavari Basin. We recommended that similar local empirical equations be formulated for larger river basins. Models of large-scale rainfall-runoff and sediment transport processes that can account for the influence of dams, such as the Soil & Water Assessment Tool, can be paired with the proposed regression equation to estimate dam-related downstream erosion and deposition with globally available data.

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