Events

A complementary dataset to the flow fluctuation dataset Q. It contains
the events and metrics such as computed by <code>get_events()</code>.

datasets

An important environmental impact on running water ecosystems
is caused by hydropeaking - the discontinuous release of turbine water
because of peaks of energy demand. An event-based algorithm is implemented
to detect flow fluctuations referring to increase events (IC) and decrease
events (DC). For each event, a set of parameters related to the fluctuation
intensity is calculated. The framework is introduced in Greimel et al. (2016)
"A method to detect and characterize sub-daily flow fluctuations"
<doi:10.1002/hyp.10773> and can be used to identify different fluctuation
types according to the potential source: e.g., sub-daily flow fluctuations
caused by hydropeaking, rainfall, or snow and glacier melt.
This is a companion to the package 'hydroroute', which is used to detect and
follow hydropower plant-specific hydropeaking waves at the sub-catchment
scale and to describe how hydropeaking flow parameters change along the
longitudinal flow path as proposed and validated in Greimel et al. (2022).

Bettina Gruen

hydropeak

Detect and Characterize Sub-Daily Flow Fluctuations

Bettina Grün

Julia Haider

Franz Greimel

Events function

A data frame with 165 rows and 8 variables:<dl>
 <dt>ID</dt>
<dd>Character string which refers to the identifier of the gauging station
 (in Austria: HZBCODE)</dd> <dt>EVENT_TYPE</dt>
<dd>Event types are defined as follows:<ul>
<li>0: Constant event after NA event or constant event as first event
 in time series</li>
<li>1: Constant event after DC</li>
<li>2: Increasing event (IC)</li>
<li>3: Constant event after IC</li>
<li>4: Decreasing event (DC)</li>
<li>5: NA event</li>
</ul></dd> <dt>Time</dt>
<dd>Date-time of event starting point</dd> <dt>AMP</dt>
<dd>Amplitude (<code>amp()</code>)</dd> <dt>MAFR</dt>
<dd>Maximum flow fluctuation rate (<code>mafr()</code>)</dd> <dt>MEFR</dt>
<dd>Mean flow fluctuation rate (<code>mefr()</code>)</dd> <dt>DUR</dt>
<dd>Duration (<code>dur()</code>)</dd> <dt>RATIO</dt>
<dd>Flow ratio (<code>ratio()</code>)</dd>
</dl>

Format

Events — Events

A data frame with 165 rows and 8 variables:<dl>
 <dt>ID</dt>
<dd>Character string which refers to the identifier of the gauging station
 (in Austria: HZBCODE)</dd>

 <dt>EVENT_TYPE</dt>
<dd>Event types are defined as follows:<ul>
<li>0: Constant event after NA event or constant event as first event
 in time series</li>
<li>1: Constant event after DC</li>
<li>2: Increasing event (IC)</li>
<li>3: Constant event after IC</li>
<li>4: Decreasing event (DC)</li>
<li>5: NA event</li>
</ul></dd>

 <dt>Time</dt>
<dd>Date-time of event starting point</dd>

 <dt>AMP</dt>
<dd>Amplitude (<code>amp()</code>)</dd>

 <dt>MAFR</dt>
<dd>Maximum flow fluctuation rate (<code>mafr()</code>)</dd>

 <dt>MEFR</dt>
<dd>Mean flow fluctuation rate (<code>mefr()</code>)</dd>

 <dt>DUR</dt>
<dd>Duration (<code>dur()</code>)</dd>

 <dt>RATIO</dt>
<dd>Flow ratio (<code>ratio()</code>)</dd>


</dl>

Events: Events

Description

Usage

Arguments

Format