At-Site Flood Frequency Analysis: EvaluatingSome Candidate Probability Models

The article presents flood frequency modeling of the Sutlej River's gauging sites located in Pakistan.The objective is to search for the most cogent mix of probability distribution and parameter estimation approach for each site separately.Different probability distributions that have been recommended in the literature are fitted for modeling maximum annual water discharge.Separately for each site, the parameters of the competing probability distributions are estimated through different estimation strategies.Different compounds of distributions and estimation methods are compared for each site through seven different performance metrics, and the most plausible compound is recommended for that particular gauging station.Results from ranking different models revealed that the generalized Pareto distribution estimated through the weighted least squares method is most appropriate for both sites considered for analysis.Finally, based on the selected blend of distribution and estimation method, an estimate of annual maximum flow, along with 95% parametric bootstrap confidence intervals, is provided for different return years.

Authors

Publication Details

Journal
Polish Journal of Environmental Studies
Published
2025-07-14
DOI
https://doi.org/10.15244/pjoes/205074
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
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article

At-Site Flood Frequency Analysis: EvaluatingSome Candidate Probability Models

Sajjad Haider Bhatti, Sandile Charles Shongwe, Muhammad Ali Raza, Muhammad Irfan
Polish Journal of Environmental Studies
Hydrology and Drought Analysis
article

At-Site Flood Frequency Analysis: EvaluatingSome Candidate Probability Models

Sajjad Haider Bhatti, Sandile Charles Shongwe, Muhammad Ali Raza, Muhammad Irfan
article en

Abstract

The article presents flood frequency modeling of the Sutlej River's gauging sites located in Pakistan.The objective is to search for the most cogent mix of probability distribution and parameter estimation approach for each site separately.Different probability distributions that have been recommended in the literature are fitted for modeling maximum annual water discharge.Separately for each site, the parameters of the competing probability distributions are estimated through different estimation strategies.Different compounds of distributions and estimation methods are compared for each site through seven different performance metrics, and the most plausible compound is recommended for that particular gauging station.Results from ranking different models revealed that the generalized Pareto distribution estimated through the weighted least squares method is most appropriate for both sites considered for analysis.Finally, based on the selected blend of distribution and estimation method, an estimate of annual maximum flow, along with 95% parametric bootstrap confidence intervals, is provided for different return years.

Polish Journal of Environmental Studies
Climate action
Openalex Percentile: Top 84%
Hydrology and Drought Analysis
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