Robert Olsen
ES 220
05/05/05
Palouse Fall Water Quality Internship
Previous Internship work
There have been three previous internships dealing with pollution in the Palouse River; however, none of them have analyzed the River over an extended amount of time. Marieke analyzed nitrogen based pollutants – nitrite, nitrate, and ammonia -- with one sample. Elizabeth and Miranda analyzed data from the USGS and the Washington State Department of Ecology, but as they point out the USGS data is collected once a decade and that the DOE was not very helpful. Neither Marieke nor Elizabeth and Miranda found a source for pollution. Hunter took up where they left off and tried to find a source for nitrate, nitrite, and phosphate in the River. A potential non-point source for pollution is a small farm located about ¾ of a mile upstream from the falls. Hunter took one sample and analyzed it for nitrate, nitrite, and phosphate; however, by only analyzing one sample he was unable to view any trends or determine if pollution was very prevalent. In order to improve on the studies of the previous interns, it is imperative that I sample multiple times for both nitrogen-based pollutants – nitrite, nitrate, ammonia – and phosphorous.
My Work
During my initial meeting with Sandra Cannon, we discussed what could be done
to improve on the previous interns. We came up with taking multiple samples
in the spring (peak water levels) and analyzing them for nitrogen and phosphate.
We came up with three goals:
1) Find farm hunter mentioned in his paper
2) Sample above and below farm multiple times to find trends and possible source for pollution
3) Determine if the farm is a point source
In order to find the farm Hunter mentioned and to take water samples it is imperative
that the intern have a means of transportation to and from the falls. Palouse
Falls is located about 65 miles away from Walla Walla, so the intern must be
willing to spend a significant amount of time driving. Besides driving, there
is a large amount of hiking/walking involved. The farm is located about 1 mile
(farther than Hunter suspected, Figures 1 and 2) upstream; however, the walk
seems longer because hiking is done along the railroad tracks. Eventually, the
ravine slopes along the left side of the river turn into cliffs; making decent
to the river nearly impossible. Water samples have to be collected about 1/8
mile downstream from the farm. I was unable to get to the upper side of the
farm because it was another few miles along the railroad tracks, and the minimal
use of the land for the farm suggested it was not adding substantial nitrates,
phosphates, or nitrites into the water.
Figure 1: The farm Hunter located about ¾ of a mile upstream of Palouse Falls.
Figure 2: The farm is on the nearly level ground within the red square. Each black square on the map is 1x1 Km.
Findings
The closest Department of Ecology monitoring site to Palouse Falls is in Hooper,
WA, about 27 miles upstream. At this long term monitoring station, samples have
been monitored since 1959 with very few recorded exceedences of nitrate, nitrite,
and phosphate since then (exceedences regarding DOE’s definitions). According
to Hunter’s data from Palouse Falls there were no exceedences in the fall
of 2004. Total nitrogen concentrations (nitrate + nitrite concentrations) above
Palouse Falls were lower than those levels at Hooper. The Hooper levels on October
5, 2004 were 1.83 mg/L, whereas Hunter’s totals were 1.524 mg/L, indicating
that pollution occurring between Hooper and Palouse Falls either did not exist,
or was minimal enough to be diluted.
This winter, the water quality in the Palouse was better than in most years
(Table 1 and Table 2).
The phosphate levels at Hooper were within the acceptable range (as designated
by the DOE) and followed historical trends. However, the same cannot be said
for total nitrogen concentrations. This winter was unique, total nitrogen concentrations
did not follow historical trends; they were significantly lower than most years.
In 2004, the concentrations were 6.87 mg/L, and 6.57 mg/L for February and March,
respectively. This year the concentrations were 1.99 mg/L and 0.915 mg/L for
February and March, respectively.
The two times I went to Palouse falls I went immediately after rainstorms. The
water had become a milky brown color from high sediment concentrations. It is
very possible that during the rainstorms, nitrate, nitrite and phosphate were
washed from the surrounding hillsides into the tributaries of the Palouse River
and directly into the Palouse. The concentrations of nitrogen and phosphorous
I found at Palouse Falls, collected on April 3 and April 10 were: 7.45 mg/L
and 7.24 mg/L for nitrogen and 1.21 mg/L and 0.89 mg/L. (I analyzed the Palouse
water samples using an Ion Chromatograph in the environmental chemistry lab
at Whitman College, and determined ion concentrations using a Linear Least Squares
Microsoft Excel spreadsheet designed by Frank Dunnivant.) This contrasts with
April 14, 2004 levels at Hooper of 0.991 mg/L total nitrogen and 0.0469 mg/L
total phosphorous concentrations (DOE website). Even though the samples I analyzed
indicated high levels of nitrate, the concentrations were still well below the
EPA Maximum Contaminant Level (MCL). Nitrate was present at an about 5.75 mg/L,
which is 4.25 mg/L less than the 10 mg/L MCL of the EPA. Unfortunately, nitrite
was present at about 1.5 mg/L, which is 0.5 mg/L higher than the MCL of the
EPA. And phosphate levels were about 1 mg/L, but the EPA does not have a listed
MCL for phosphate. The health effects and Malls of phosphate can be found in
Table 3.
The increase in nitrogen and phosphate concentrations is most likely due to
the heavy rainstorms and not the farm that Hunter found. The farm Hunter found
is not a non-point source of pollution. When I examined the farm from a cliff
side about 1/5 mile away the shore was missing vegetation, but that fact seemed
irrelevant. There were cattle as Hunter indicated, but only a few. I spotted
a total of 5 cattle on probably 20 acres. It also seems unlikely that cattle
use the water frequently, there were no paths worn into the grass towards the
river, and there was a small gully between the farm and the river. Besides cattle,
agricultural activity was not occurring. There were no sprinkler systems nor
was there any equipment used to harvest crops (Figure 1). These facts lead me
to believe that the levels of nitrate, nitrite, and phosphate present in the
Palouse River above Palouse Falls are not due to the farm that Hunter found,
but instead residual pollution from upstream agriculture.
Reflections
On my first trip to the Palouse River, the water was clear, except at the base
of the falls. At that time, I assumed the river clean, but only the pool was
dirty because of the clear river and the green algae at the base of the falls.
After looking at Hunter’s data, I changed my assumption; the water was
nearly free of pollutant anions, but as it fell nearly 200 feet nitrogenation
occurred. Now that I have analyzed my own samples from water with sedimentation,
I believe the contamination is a mixture of human and natural causes. This thought
process indicates that the internship with Sandra Cannon is beneficial, even
if the samples prove a lack of anions in the water. I am grateful to have been
able to critically examine assumptions I made about the river.
Besides thinking critically the internship was somewhat difficult. Initially,
neither Hunter, nor Penrose library had maps that would help me locate the farm
Hunter had mentioned in his paper. The first time I traveled to Palouse Falls
I was unable to find the farm, even after hiking nearly a mile along the river.
The second time I went to the fall; I hike more than a mile along the railroad
tracks, and climbed the embankments along its edge until I encountered Hunter’s
farm. It is located about 1 aerial km, or 2 hiking km, upstream from the falls.
I used a 200mm zoom on a Minolta camera to look more closely at the farm. Having
a pair of binoculars would have been extremely useful.
After collecting samples, I spent nearly 20 hours in the lab using the ion chromatograph
(IC). At first, the mobile phase was too old to work in the IC. And then I accidentally
left the helium gas on, which meant I could not take analyze samples until I
obtained a new tank of helium. Ultimately, this experience taught me that sometimes
it is better to sacrifice highly precise measurements (the IC) for something
mobile and fast (a HACH kit).
Lastly, when I presented my poster to Bob, I had assumed that the high levels
of anions, shown in Table 2, were an indication an error on
my part. But while writing this report I looked more closely at the finalized
historical data on the DOE website and at times it had higher concentrations
than my samples. This was just another indication of the need to always think
critically about the work being done, the data itself, and the interpretations
of that data.
Recommendations
The most polluted looking section of the Palouse River was below Palouse Falls.
The water was green with what is potentially an alga. Future interns should
look into the pollution present above and below the falls. Interns should look
for specifically for pollution containing nitrate, nitrite, and phosphate because
of their potential for eutrophication. Future interns should use mobile HACH
Kits to determine ion concentrations because of their ease of use, and on site
capabilities. While examining the water below the falls, the intern should examine
the prevalence and species of algae present. These possibilities give future
interns a broad range of information but also help them determine if pollution
is actually detrimental to the river system. If interns discover pollution,
they should try and more find point sources and develop methods for talking
with agriculturists.
Key Contacts
Sandra Cannon
803 Valencia St.
Walla Walla, WA
(509) 525-8849
sandra.cannon@pnl.gov
Frank Dunnivant
Assistant Professor of Chemistry
Hall of Science 344
526-4751
dunnivfm@whitman.edu
The Environmental Protection Agency’s Maximum Contaminant Level
(MCL) website.
http://www.epa.gov/safewater/mcl.html#mcls
Department of Ecology Contacts:
Jim Ross, Environmental Assessments Program Freshwater Monitoring Unit/ERO
JROS461@ECY.WA.GOV
(509) 329-3425
(509) 953-0177 mobile
(509) 329-3529 FAX
Chris Coffin (CCOF461@ecy.wa.gov) is monitoring that site (Hooper).
Elaine Snouwaert(ESNO461@ecy.wa.gov) is the lead for the upcoming TMDL studies in the watershed.
The Washington Department of Ecology, Long term monitoring of the Palouse River. http://www.ecy.wa.gov/apps/watersheds/riv/station.asp?theyear=&tab=notes&scrolly=0&wria=34&sta=first
Other Resources
Adams County Conservation District is doing a lot of monitoring on
tribs to the Palouse and on the mainstem. Their email is adamcd@ritzcom.net.
Feel free to contact me if you need more information
Tables and Figures
Table 1: Data from the Department of Ecology on Nitrogen and Phosphorous Concentrations from February and March of 2004 and 2005.
Date |
Phosphorous |
Total Nitrogen |
(mg/L) |
(mg/L) |
|
| 2/11/2004 | 0.128 |
6.87 |
| 3/10/2004 | 0.133 |
6.57 |
| 2/8/2005 | 0.102 |
1.99 |
| 3/8/2005 | 0.0385 |
0.915 |
Table 2: A comparison of data collected at Hooper, WA on 3/8/2005 with data collected on 4/3/2005 and 4/10/2005.
Palouse River Anion Concentrations
(mg/L) |
|||||
Hooper* |
Palouse Falls (4/3) |
Palouse Falls (4/10) |
|||
| T Nitrogen | 0.915 |
T Nitrogen | 7.45 |
T Nitrogen | 7.24 |
| T Phosph. | 0.0385 |
T Phosph | 1.21 |
T Phosph | 0.89 |
| *Preliminary data from 3/8/2005 | |||||
Table 3: The maximum contaminant levels, sources and health effects of phosphate, nitrate, and nitrite.
Contaminant |
MCL* |
Health Effects |
Sources |
| Nitrate (measured as Nitrogen | 10 | Infants below the age of six months who drink water containing nitrate in excess of the MCL could become seriously ill and, if untreated, may die. Symptoms include shortness of breath and blue-baby syndrome. | Runoff from fertilizer use; leaching from septic tanks, sewage; erosion of natural deposits |
| Nitrite (measured as Nitrogen | 1 | Infants below the age of six months who drink water containing nitrite in excess of the MCL could become seriously ill and, if untreated, may die. Symptoms include shortness of breath and blue-baby syndrome. | Runoff from fertilizer use; leaching from septic tanks, sewage; erosion of natural deposits |
| Phosphate** | ------- | Kidney patients at increased risk of premature death | Runoff from fertilizer use; leaching from septic tanks, sewage; erosion of natural deposits |
| *maximum contaminant level | |||
| **Not from the EPA, but Nitrate and Nitrite are | |||
| Table 4: Linear Least Square Analysis of Nitrate | |||||||||
| NITRATE | |||||||||
| Linear Least Square Analysis | |||||||||
| Number of Standard Observations= | 4 | ||||||||
| Replicates for Sample Unknowns= | 3 | ||||||||
| Units of Standard= | mg/L | ||||||||
| Number | x-Value | y-Value | xy | x-squared | y-squared | ||||
| Conc. | Signal | ||||||||
| 1 | 0 | 0 | 0 | 0 | 0 | ||||
| 3 | 1 | 276684 | 276684 | 1 | 7.66E+10 | ||||
| 4 | 2 | 401877 | 803754 | 4 | 1.62E+11 | ||||
| 5 | 5 | 4989133 | 24945665 | 25 | 2.49E+13 | ||||
| Sums | 8 | 5667694 | 26026103 | 30 | 2.51E+13 | ||||
| Means | 2 | 1416923.5 | |||||||
| Sxx= | 14 | Sum of Squared Error for the mean of x | |||||||
| Syy= | 1.71E+13 | Sum of Squared Error for the mean of y | |||||||
| Sxy= | 1.47E+07 | Sum of Squared Error for x and y | |||||||
| m= | 1.05E+06 | Slope | |||||||
| b= | -6.82E+05 | y-intercept | |||||||
| Sr = | 9.17E+05 | Standard Deviation of the Residuals | |||||||
| Sm= | 2.45E+05 | Standard Deviation of the Slope | |||||||
| Sb= | 6.71E+05 | Standard Deviation of the Intercept | |||||||
| r = | 0.948 | ||||||||
r2= |
0.898 | ||||||||
| Unknowns | Signal | Signal | Signal | sc= std.dev. of an unknown | |||||
| 3-Apr | Rep 1 | Conc 1 | Rep 2 | Conc 2 | Rep 3 | Conc 3 | Means Abs. |
Mean mg/L |
sc |
| Nitrate | 5602131 | 5.99 | 5488677 | 5.88 | 5784186 | 6.16 | 5624998 | 6.01 | 1.15 |
| 10-Apr | |||||||||
| Nitrate | 5176064 | 5.58 | 4725725 | 5.15 | 5913210 | 6.28 | 5271666 | 5.67 | 1.09 |
| Table 5: Linear Least Square Analysis of Nitrite | |||||||||
| NITRITE | |||||||||
| Linear Least Square Analysis | |||||||||
| Number of Standard Observations= | 4 | ||||||||
| Replicates for Sample Unknowns= | 3 | ||||||||
| Units of Standard= | mg/L | ||||||||
| Number | x-Value | y-Value | xy | x-squared | y-squared | ||||
| Conc. | Signal | ||||||||
| 1 | 0.01 | 54404 | 544.04 | 0.0001 | 2.96E+09 | ||||
| 3 | 0.1 | 3279838 | 327983.8 | 0.01 | 1.08E+13 | ||||
| 4 | 0.5 | 2523976 | 1261988 | 0.25 | 6.37E+12 | ||||
| 5 | 1 | 4493827 | 4493827 | 1 | 2.02E+13 | ||||
| Sums | 1.61 | 10352045 | 6084343 | 1.2601 | 3.73E+13 | ||||
| Means | 0.4025 | 2588011.25 | |||||||
| Sxx= | 1 | Sum of Squared Error for the mean of x | |||||||
| Syy= | 1.05E+13 | Sum of Squared Error for the mean of y | |||||||
| Sxy= | 1.92E+06 | Sum of Squared Error for x and y | |||||||
| m= | 3.13E+06 | Slope | |||||||
| b= | 1.33E+06 | y-intercept | |||||||
| Sr = | 1.50E+06 | Standard Deviation of the Residuals | |||||||
| Sm= | 1.92E+06 | Standard Deviation of the Slope | |||||||
| Sb= | 1.08E+06 | Standard Deviation of the Intercept | |||||||
| r = | 0.887 | ||||||||
r2= |
0.787 | ||||||||
| Unknowns | Signal | Signal | Signal | sc= std.dev. of an unknown | |||||
| 3-Apr | Rep 1 | Conc 1 | Rep 2 | Conc 2 | Rep 3 | Conc 3 | Means Abs. |
Mean mg/L |
sc |
| Nitrite | 5274976 | 1.26 | 5939162 | 1.47 | 6299885 | 1.59 | 5838008 | 1.44 | 0.73 |
| 10-Apr | |||||||||
| Nitrite | 6429088 | 1.63 | 5373005 | 1.29 | 6889699 | 1.78 | 6230597 | 1.57 | 0.80 |
| Table 6: Linear Least Square Analysis of Phosphate | |||||||||
| PHOSPHATE | |||||||||
| Linear Least Square Analysis | |||||||||
| Number of Standard Observations= | 4 | ||||||||
| Replicates for Sample Unknowns= | 3 | ||||||||
| Units of Standard= | mg/L | ||||||||
| Number | x-Value | y-Value | xy | x-squared | y-squared | ||||
| Conc. | Signal | ||||||||
| 1 | 0.05 | 32307 | 1615.35 | 0.0025 | 1.04E+09 | ||||
| 3 | 0.1 | 935458 | 93545.8 | 0.01 | 8.75E+11 | ||||
| 4 | 0.5 | 1468245 | 734122.5 | 0.25 | 2.16E+12 | ||||
| 5 | 1 | 2861109 | 2861109 | 1 | 8019E+12 | ||||
| Sums | 1.65 | 5297119 | 3690393 | 1.2625 | 1.12E+13 | ||||
| Means | 0.4125 | 1324279.75 | |||||||
| Sxx= | 1 | Sum of Squared Error for the mean of x | |||||||
| Syy= | 4.20E+12 | Sum of Squared Error for the mean of y | |||||||
| Sxy= | 1.51E+06 | Sum of Squared Error for x and y | |||||||
| m= | 2.59E+06 | Slope | |||||||
| b= | 2.57E+05 | y-intercept | |||||||
| Sr = | 3.93E+05 | Standard Deviation of the Residuals | |||||||
| Sm= | 5.15E+05 | Standard Deviation of the Slope | |||||||
| Sb= | 2.89E+05 | Standard Deviation of the Intercept | |||||||
| r = | 0.981 | ||||||||
r2= |
0.962 | ||||||||
| Unknowns | Signal | Signal | Signal | sc= std.dev. of an unknown | |||||
| 3-Apr | Rep 1 | Conc 1 | Rep 2 | Conc 2 | Rep 3 | Conc 3 | Means Abs. |
Mean mg/L |
sc |
| Phosphorous | 3178360 | 1.13 | 3286366 | 1.17 | 3699208 | 1.33 | 3387978 | 1.21 | 0.20 |
| 10-Apr | |||||||||
| Phosphorous | 2603230 | 0.91 | 2228651 | 0.76 | 2859400 | 1.01 | 2563760 | 0.89 | 0.15 |
Figure 3: Retention times for phosphorous, nitrate, and nitrite in an ion chromatograph.