CAN_08NH021

A dataframe of annual maximum series observations for
station 08NH021, KOOTENAI RIVER AT PORTHILL in British Columbia, Canada.

datasets

Tools to support systematic and reproducible workflows for both
stationary and nonstationary flood frequency analysis, with applications
extending to other hydroclimate extremes, such as precipitation frequency
analysis. This package implements the FFA framework proposed by Vidrio-
Sahagún et al. (2024) <doi:10.1016/j.envsoft.2024.105940>, originally
developed in MATLAB, now adapted for the R environment. This work was
funded by the Flood Hazard Identification and Mapping Program of Environment
and Climate Change Canada, as well as the Canada Research Chair (Tier 1)
awarded to Dr. Pietroniro.

Riley Wheadon

ffaframework

Flood Frequency Analysis Framework

Cuauhtémoc Vidrio-Sahagún

Alain Pietroniro

Jianxun He

Environment and Climate Change Canada (ECCC) 

CAN_08NH021 function

A dataframe with 91 rows and 2 columns spanning the period 1928-2018.

Format

This is a regulated station that is not in the RHBN. Additionally,<ul>
<li>The Libby dam was constructed upstream of this station in 1972.</li>
<li>The Pettitt test finds evidence of a change point in 1972 at the 0.05 significance level.</li>
<li>The MKS test finds evidence of change points in 1960 &amp; 1985 at the 0.05 significance level.</li>
</ul>This dataset is an excellent introduction to change point detection and piecewise NS-FFA.

Additional Information

CAN-08NH021 — CAN_08NH021

This is a regulated station that is not in the RHBN. Additionally,<ul>
<li>The Libby dam was constructed upstream of this station in 1972.</li>
<li>The Pettitt test finds evidence of a change point in 1972 at the 0.05 significance level.</li>
<li>The MKS test finds evidence of change points in 1960 &amp; 1985 at the 0.05 significance level.</li>
</ul>

This dataset is an excellent introduction to change point detection and piecewise NS-FFA.

CAN_08NH021: CAN-08NH021

Description

Usage

Arguments

Format

Additional Information

Details