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A parametric Bayesian combination of local and regional information in flood frequency analysis.

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Academic year: 2021

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Figure

Figure l.  Hydrographic regions in the province ofQuebec and hydrornetric stations of the region 05.
Figure  2,  Histograms of  relative effor on  quantiles Qto, Qroo, and q16se and histograms of the GEV parameters  at target sites for the first set ofregions (no bias on quantiles, variance factor ofthe  regional regression  equal to  l0%): (a) qro, (b) q
Figure  3.  Éiistograms of  relative error on quantiles 8ro, Qtoo, and q1000  and histograrns of  the GEV parameters  at target sites for the second simulated set ofregions (no bias on quantiles,  variance factor of the regional regression  equal to  50%):
Figure  4,  Histograms of  relative error on  quantiles Qrc, Qrco, and q1666  and histograms of  the GEV pammett:rs  at target sites for the third simulated set of regions (100% positive relative bias on quantiles, variance factor of the regional regressio
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