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- W4241704841 abstract "Abstract. This study investigates the utilization of hydrological information in Regional Frequency Analysis (RFA) to enforce properties for a group of gauged stations. Neighborhoods are a particular type of regions that are centered on target locations. A challenge for using neighborhoods in RFA is that hydrological information is not available at target locations. Instead of using known site characteristics (not hydrological) to define the center of a target location, this study proposes to introduce estimates of (hydrological) reference variables to ensure better homogeneity. These reference variables represent nonlinear relations with the site characteristics obtained by projection pursuit regression; a nonparametric regression method. The resulting neighborhoods are investigated in combination with common regional models: the index-flood model and the regression-based models. The complete approach is illustrated on a real-world case study with gauged sites located in Southern Quebec, Canada, and is compared with the traditional approaches Region of Influence and Canonical Correlation Analysis. The evaluation focuses on the neighborhood properties as well as prediction performances, with special attention to problematic stations. Results show clear improvements in neighborhood definitions and quantile estimates." @default.
- W4241704841 created "2022-05-12" @default.
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- W4241704841 date "2016-03-31" @default.
- W4241704841 modified "2023-09-28" @default.
- W4241704841 title "Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression" @default.
- W4241704841 doi "https://doi.org/10.5194/hess-2016-123" @default.
- W4241704841 hasPublicationYear "2016" @default.
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