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June 28, 2026Journal of Hydrologic Engineering

Refining Extreme Event Selection in Hydrological Analysis Using the Comparative Distribution Fitting Method

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Authors

SDShubham DixitKPK. K. Pandey

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Overview

Randomized trial evaluates extreme event selection methods in hydrological analysis, indicating improved accuracy with CDF approach.

Key Points

  • This study aims to improve the extraction of extreme events from hydrological time series data using advanced statistical methods.
  • Evaluated traditional extreme event extraction methods: block maxima (BM) and peaks over threshold (POT).
  • Proposed a new comparative distribution fitting (CDF) method for selecting extreme event thresholds based on statistical analysis.
  • Compared model performances between BM, POT, and CDF-based approaches across various hydrological stations.
  • CDF-based POT approach significantly improved model performance compared to traditional methods.
  • CDF-based nonstationary models consistently outperformed BM extractions across all stations.
  • Reinforced the necessity of accurate threshold selection to enhance model reliability and performance.

Cite This Study

Dixit et al. (2026) studied this question.

synapsesocial.com/papers/6a40b99561bb0a67205c5c6chttps://doi.org/10.1061/jhyeff.heeng-6733
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