A stream’s volumetric flow rate, hereafter referred to as discharge, is a parameter of interest for scientists and practitioners in various areas of hydrology. However, producing a continuous record of discharge (i.e., hydrograph) involves obtaining a continuous record of stage (i.e., water depth), making discharge measurements over a range of stages, establishing and maintaining a relation between the stage and discharge, and applying the stage-discharge relation to the stage record. A hydrograph can provide insight into the primary drivers of flow (i.e., rain vs snow) and can be tracked to ensure users have access to their water rights as well as be used in flooding risk assessments.
At the end of this module, students should be able to describe hydrographs of rain vs snow dominated systems, create a stage-discharge relationship, and understand the different methods used to measure streamflow.
A hydrograph is a time series of stream discharge at a specific point in a river. Hydrographs are constructed by continuously measuring stage (depth of water) and developing a rating curve (Figure 1), which is a relationship between stage (D) and discharge (Q) at a specific monitoring location. Discharge can be measured at stream gaging stations using the velocity-area or dilution gauging methods, or by installing a weir or flume. Weirs and flumes have specific geometry and a know relationship between stage and discharge. However, we often don’t have a weir or flume, and we have to construct this relationship by taking measurements of stage and discharge across a range of flows to develop the rating curve. The stage-discharge relationship typically takes the form of a power law equation (Equation 1) and is controlled by channel morphology. By using this mathematical relationship between stage and discharge we can convert a continuous stage record to a continuous discharge record (Figure 2).
As noted above, the stage-discharge relationship depends on the characteristics of the stream channel. Therefore, if the channel geometry changes as a result of erosion or deposition, the rating curve needs to be updated. Because of this, it would be ideal to take stage measurements at a control structure (i.e., weirs and flumes) or stable cross section (i.e., at bridges or where bedrock is confining the channel). However, this is not always possible and we must rebuild rating curves if there is significant change in channel morphology. Additionally, it is important not to extrapolate the stage-discharge relationship for data larger or smaller than the stages and discharges measured in the field that were used to create your rating curve. Extrapolating beyond the bounds of the rating curve leads to large uncertainty in the estimates discharge.
The shape of the hydrograph cntains information about the system that you are working in. The most common conclusion that can be drawn from a hydrograph is whether a system is snow or rain dominated and in what hemisphere the stream is located. Snowmelt dominated streams in the northern hemisphere have peak flows in April or May, whereas snowmelt dominated systems in the southern hemisphere will typically have peak flows around October. In the northern hemisphere and indeed in the US, hydrologists prefer to conduct analyses based on the water year (October 1 - September 30) as opposed to the calendar year. This allows the comparison of incoming precipitation and outgoing streamflow, and specifically ensures that snow delivered in October-December is accounted for in the same time period that it is likely to melt, which may be in spring or summer of the following calendar year.
A snow dominated hydrograph (Figure 3) typically has a prominent peak in discharge during the spring and summer months driven by snowmelt as temperatures warm. Alternatively, a rain dominated hydrograph is characterized by high magnitude, short duration increases in flow due to specific rain events (Figure 4). These temporal patterns of high and low flows are referred to collectively as a river’s flow regime. The flow regime plays a key role in regulating geomorphic processes that shape river channels and floodplains, ecological processes that govern the life history of aquatic organisms, and is a major determinant of the biodiversity found in river ecosystems.
Stage, or water depth, measurements can be continuously collected with either analog methods (a chart recorder with float gauge) or digital methods (pressure transducers or capacitance rods). These instruments are commonly placed in a stilling well to reduce noise induced by waves. This continuous measurement is usually accompanied with a staff gage which is used to take point measurements on site by a technician. Often control structures are utilized when routinely taking stage measurements at a specific cross section. Control structures such as flumes and weirs are advantageous as they slow stream water, create a smooth surface to measure stage and have a well-known, unchanging geometry. Flumes are self-cleaning whereas weirs are not. Weirs tend to create a pond upstream of the structure.
USGS Gaging Station Video:
Montana DNRC Video:
Stage and streamflow is important for a variety of applications. Check out this USGS video describing applications of how the data collected at USGS stream gaging sites is used:
Similar to a stage-discharge relationship you would make in a stream, you can make a volume-depth relationship with any cup or bowl at your house.
Materials:
Activity Video:
We can use the data retrieval package to get data for the gauge on the Poudre near the ELC
#Packages needed for this project
library(dataRetrieval)
library(broom)
library(tidyverse)
library(lubridate)
# the site number is the gauge at the ELC
all_meas <- readNWISmeas(siteNumbers = '06752280')
#Federal data always come with long headers, so I like to clean those up.
all_meas <- all_meas %>%
select(measurement_dateTime, gage_height_va, discharge_va, measured_rating_diff) %>%
rename(Date = 1, gage_height = 2, discharge = 3, rating = 4)
1.Create a rating curve with gage height on the x and discharge on the y using all data. Color the points by date and fit a curve (e.g., geom_smooth). Does the rating curve look consistent through time? Include your figure and comment on the consistency of the rating curve through time. If it is not consistent through time comment on what could have caused any shifts in the rating curve. (5 pts)
2.Create a second rating curve where you only include measurements taken in years 2008 – 2021 that have a quality rating of Good. Fit a non-linear curve to the data and extract the model parameters.
Rembmer that stage-discharge relations (the rating curve) are typically non-linear. We will use nls, which you can read up on with “?nls”. In this model a1, C, and n are parameters and we have to give them initial values. After that R will find the best fit for each parameter. The equation will be Q = C(Stage - a1)^n where C is a fitting parameter, a1 is the depth at which flow is 0 (so if flow was zero at 1 ft depth a1 = 1), and n is an exponent that gives the function its concave up shape. Include this figure in your submission. (5 pts)
3.Using the rating curve you created, answer the following questions (5 pts):
What is the discharge at this site for a stage of 3.35 ft? Is it appropriate to estimate discharge for a stage of 8.5 ft with this rating curve? If so, what is the discharge? If not, why?
4.Describe the process to create a rating curve at a stream site be sure to include information on (5 pts):
The requirements of a good cross section to establish the site. When and how frequently you would make discharge measurements. What instrumentation would you use to collect continuous stage measurements.