This document analyzes the impacts of Beach Drive on water quality and vegetation abundance in Rock Creek Park in Washington D.C. Water and plant samples were taken from Rock Creek adjacent to Beach Drive and from two tributaries further in the park. Analysis found that the average pH, nitrate, and phosphate levels in Rock Creek adjacent to Beach Drive were higher than in the tributaries, likely due to urban stormwater runoff from the road. Vegetation abundance was also lower along Beach Drive where it was closer to the creek, due to higher disturbance, but species richness did not vary significantly between areas. The presence of Beach Drive was found to negatively impact the water quality and plant life of nearby Rock Creek.
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...iosrjce
Shallow Groundwater of a coastal aquifer has been intensively used as a source of water for
irrigation farming in the Niger Delta region of Nigeria. To assess the usability of this water for irrigation use,
twenty locations at buguma city were mapped out and five water wells were sampled for each location using
Simple random sampling technique. Each sample was analyzed for the cations(magnesium(Mg2+), sodium(Na+
),
potassium(K+
),calcium(Ca2+)),anion(nitrate ion(N03
-
)), trace elements(cadmium(Cd), iron(Fe), and zinc(Zn)and
other phsico-chemical parameters(Salinity(SI), electric conductivity(EC) and pH) adopting standard methods.
Based on the analyzed parameters, irrigation water quality parameters (RSC, SAR, %Na and %MR) and
indexes(Kelly index(KI), Permeability Index(PI) and the Canadian water quality index(CWQI)) were calculated
.To assess the usability of the shallow groundwater, results of the Water quality index models and other
calculated irrigation parameters were compared with the standards. On the average, virtually all the sampling
locations except Ombu, Igba and Jackreech were unsuitable for irrigation use.
Joint Indonesia-UK Conference on Computational Chemistry 2015Dasapta Erwin Irawan
The following there slides were made for Joint Indonesia-UK Conference on Computational Chemistry 2015, consists of three abstracts:
1. Generalised mixed model of water quality in Cikapundung Riverbank using R
Author: Dasapta Erwin Irawan1*, Cut Novianti Rachmi2, Prana Ugi3, Dwi Suhandoko1, Ahmad Darul1, Nurjana Joko Trilaksono1
2. PCA computation to detect water interactions in Cikapundung Riverbank using R
Author: Dasapta Erwin Irawan1*, Cut Novianti Rachmi2, Prana Ugi3, Dwi Suhandoko1, Ahmad Darul1, Nurjana Joko Trilaksono1
3. Landfill Plume Identification : a Review
Author: Ramadhan, F.R1., Nafisah, L.A1., Yosandian, Hazmanu1., and Irawan, D.E 2.
Suitability Assessment of Shallow Groundwater of a Typical Coastal Aquifers f...iosrjce
Shallow Groundwater of a coastal aquifer has been intensively used as a source of water for
irrigation farming in the Niger Delta region of Nigeria. To assess the usability of this water for irrigation use,
twenty locations at buguma city were mapped out and five water wells were sampled for each location using
Simple random sampling technique. Each sample was analyzed for the cations(magnesium(Mg2+), sodium(Na+
),
potassium(K+
),calcium(Ca2+)),anion(nitrate ion(N03
-
)), trace elements(cadmium(Cd), iron(Fe), and zinc(Zn)and
other phsico-chemical parameters(Salinity(SI), electric conductivity(EC) and pH) adopting standard methods.
Based on the analyzed parameters, irrigation water quality parameters (RSC, SAR, %Na and %MR) and
indexes(Kelly index(KI), Permeability Index(PI) and the Canadian water quality index(CWQI)) were calculated
.To assess the usability of the shallow groundwater, results of the Water quality index models and other
calculated irrigation parameters were compared with the standards. On the average, virtually all the sampling
locations except Ombu, Igba and Jackreech were unsuitable for irrigation use.
Joint Indonesia-UK Conference on Computational Chemistry 2015Dasapta Erwin Irawan
The following there slides were made for Joint Indonesia-UK Conference on Computational Chemistry 2015, consists of three abstracts:
1. Generalised mixed model of water quality in Cikapundung Riverbank using R
Author: Dasapta Erwin Irawan1*, Cut Novianti Rachmi2, Prana Ugi3, Dwi Suhandoko1, Ahmad Darul1, Nurjana Joko Trilaksono1
2. PCA computation to detect water interactions in Cikapundung Riverbank using R
Author: Dasapta Erwin Irawan1*, Cut Novianti Rachmi2, Prana Ugi3, Dwi Suhandoko1, Ahmad Darul1, Nurjana Joko Trilaksono1
3. Landfill Plume Identification : a Review
Author: Ramadhan, F.R1., Nafisah, L.A1., Yosandian, Hazmanu1., and Irawan, D.E 2.
Austin Water is engaged in aggressive water conservation and climate programs aimed at reducing water use and addressing the water-energy nexus, while continuing to provide reliable and sustainable water and wastewater service to customers. The programs include: mandatory watering restrictions; installation of renewable energy at plants and facilities; and implementing employee ideas to save energy in operations – all while dealing with the worst drought since the historic drought of the 1950s.
Estimating of the water environment capacity is an important content of the assessment of regional environmental impact. Water environment capacity is very important in the field of environmental science and it can provide reliable data environmental planning and management of water. In this paper, lake is the research object and one-dimensional model of water quality is built according to the conservation of mass of pollutants in the lake. Meanwhile, the method for confirming model parameters is put forward. The model is based on investigation in lake water environment and is applied to calculate water environment capacity of Xiaohu. Main pollutants of Xiaohu are COD, TN, fluoride, volatile phenol, BOD5, whose water environment capacity are 581.008kg/d, 185kg/d, 61.553kg/d, 0.387kg/d, 25.098kg/d accordingly.
Feed Ratio Study Groundwater in Aquifer System Constrained Up for Urban Areaspaperpublications3
Abstract: Determining the origin of groundwater are closely related to conservation and renewable groundwater resources. Research on the source of groundwater recharge would be based on a theoretical approach, the statistical methods Principle Component Analysis and mass-balanced mixing models. Both of these methods will be tested using secondary data naturally occurring isotope of water, deuterium and oxygen-18, and ions major cations and anions in the aquifer distressed over (depth of the well between 40 dan140 meters). Source recharge ground water to be tested consists of three sources that recharge rainwater, river water and ground water.
This study aims to determine the ratio of the source of groundwater recharge using statistical methods and mass balance-mixing models. Where tracer affix source water using natural isotope parameters. In this study, physical and chemical parameters of water contained in the data of ground water, river water and rainwater are used to determine the origin or source of ground water recharge.
The results of mass balance calculation-mixing models using parameters 1H or δD and pH, to a rate of groundwater recharge source for the location of T3, T4, T6 and T13 are as follows: 43% of riverwater, 33% rainwater and 23% groundwater. Research on the ratio of recharge sources provide some information about water sources that contribute to groundwater recharge in Jakarta and surrounding areas. There are two sources that recharge rainwater and river water Bogor area near the location of groundwater. Physical development is carried out in the Bogor area will result in reduced water that seeps into the groundwater, it will bring a reduced impact to the aquifer water supply in Jakarta.
Austin Water is engaged in aggressive water conservation and climate programs aimed at reducing water use and addressing the water-energy nexus, while continuing to provide reliable and sustainable water and wastewater service to customers. The programs include: mandatory watering restrictions; installation of renewable energy at plants and facilities; and implementing employee ideas to save energy in operations – all while dealing with the worst drought since the historic drought of the 1950s.
Estimating of the water environment capacity is an important content of the assessment of regional environmental impact. Water environment capacity is very important in the field of environmental science and it can provide reliable data environmental planning and management of water. In this paper, lake is the research object and one-dimensional model of water quality is built according to the conservation of mass of pollutants in the lake. Meanwhile, the method for confirming model parameters is put forward. The model is based on investigation in lake water environment and is applied to calculate water environment capacity of Xiaohu. Main pollutants of Xiaohu are COD, TN, fluoride, volatile phenol, BOD5, whose water environment capacity are 581.008kg/d, 185kg/d, 61.553kg/d, 0.387kg/d, 25.098kg/d accordingly.
Feed Ratio Study Groundwater in Aquifer System Constrained Up for Urban Areaspaperpublications3
Abstract: Determining the origin of groundwater are closely related to conservation and renewable groundwater resources. Research on the source of groundwater recharge would be based on a theoretical approach, the statistical methods Principle Component Analysis and mass-balanced mixing models. Both of these methods will be tested using secondary data naturally occurring isotope of water, deuterium and oxygen-18, and ions major cations and anions in the aquifer distressed over (depth of the well between 40 dan140 meters). Source recharge ground water to be tested consists of three sources that recharge rainwater, river water and ground water.
This study aims to determine the ratio of the source of groundwater recharge using statistical methods and mass balance-mixing models. Where tracer affix source water using natural isotope parameters. In this study, physical and chemical parameters of water contained in the data of ground water, river water and rainwater are used to determine the origin or source of ground water recharge.
The results of mass balance calculation-mixing models using parameters 1H or δD and pH, to a rate of groundwater recharge source for the location of T3, T4, T6 and T13 are as follows: 43% of riverwater, 33% rainwater and 23% groundwater. Research on the ratio of recharge sources provide some information about water sources that contribute to groundwater recharge in Jakarta and surrounding areas. There are two sources that recharge rainwater and river water Bogor area near the location of groundwater. Physical development is carried out in the Bogor area will result in reduced water that seeps into the groundwater, it will bring a reduced impact to the aquifer water supply in Jakarta.
From School library to learning centre to… What are the challenges in the fut...Slamit
From School library to learning centre to… What are the challenges in the future? Associate professor Dr. Ross Todd, Rutgers University, New Jersey - presentation held in Porto, Portugal for Slamit6 course
Apêndice das apostilas de Excel 2016 contendo:
• Requisitos do Sistema
• Especificações Técnicas
• Atalhos de Teclado
• Funções por Categoria
• Funções em Português / Inglês
Most approaches to mindfulness are geared toward the individual level and not the social or community level to which traditional mindfulness methods were targeted. It is not only about our own personal growth but the enlightenment of the community as a whole. We are never separate. And this insight is fundamental for any effective wellbeing effort (workplace or otherwise). This experiential webinar will feature a cursory overview of mindfulness (definition, measurement, practices) and participants will be invited to complete introspective surveys about their own mindfulness to help ground the social conversation for the webinar. We will then contemplate seven different ways in which wellness champions can show up in a mindful way within the social context (community or sangha) of their work setting. These are listed below. Participants will be invited to self-assess their capacity for each and given tools to continue developing each.
· The Values Clarifier (Your Cause, Calling, or Legacy)
· The Intentional Centerer (Breathe…Breathe…Breathe)
· The Heedful Relater (Loving Kindness)
· The Compassionate Nudger (Mindfully Encourage)
· The Knower of Impact (Integrity, Foresight, and Social Contagion)
· The Thriver (All Stress is Grist for the Mill)
· The Garnerer of Trust (We are One)
Learning Objectives
1) Define mindfulness and identify at least one measure and practice of mindfulness
2) Distinguish intra-personal mindfulness from inter-personal mindfulness
3) Identify seven different ways that wellness champion may embody mindfulness in their interactions with others
About The Presenters
Dr. Joel Bennett President
Organizational Wellness & Learning Systems
Website: www.organizationalwellness.com
Joel Bennett, PhD, is President of Organizational Wellness & Learning Systems (OWLS), a consulting firm that specializes in evidence-based wellness and e-learning technologies to promote organizational health and employee well-being. Dr. Bennett first delivered stress management programming in 1985 and OWLS programs have since reached over 30,000 workers across the United States.
Lindsay Simone, Manager of Wellness Programs
ACEC Life & Health Trust
Lindsay currently serves as Manager of Wellness Programs for the Designed Wellness program that is offered to all firms that are members of and have medical insurance coverage through ACEC Life & Health Trust. She graduated from University of Illinois at Urbana-Champaign and received a Masters in Wellness Management and Business from Ball State University.
The Susquehanna River Basin Commission (SRBC) launched a state-of-the-art Remote Water Quality Monitoring Network in 2010 to track water quality throughout the SRBC region. Of concern is whether or not Marcellus drilling in the Susquehanna River Basin has affected water quality. The SRBC has issued this second, comprehensive report on their findings thus far. The SRBC has found that Marcellus Shale drilling is not/has not adversely affected water quality anywhere in the region.
This slide show presentation was utilized at the Nov. 16, 2023 event "Think Science: Geoscience & Groundwater" and features contributions from:
Dr. Ben Surpless, Trinity University
Dr. Saugata Datta, UTSA
Dr. Brady Ziegler, Trinity University
Think Earth: Water Pollution, by Saugata DattaNathan Cone
This is the PowerPoint prepared by Dr. Saugata Datta (UTSA) for Texas Public Radio's Think Earth event held on October 7, 2022. The slide presentation focuses on water pollution, and matches with the audio on this page: https://www.tpr.org/tpr-events-initiatives/2022-09-28/think-earth-pollution
1. 1
Analyzing the Impacts of Beach Drive on the Water Quality and Abundance of
Vegetation in Rock Creek Park
Principles and Methods of Ecology
Independent Research Project
Mike Stoever
ABSTRACT
This research project sought to assess the impacts and effects of anthropogenic
disturbance in Rock Creek Park, which is located in Washington, D.C. The focal point of
this research was a comparison of a 1.5-mile long segment of Beach Drive, which bisects
the park and is adjacent to Rock Creek, and two areas of natural habitat that contain
tributaries which feed into the creek. It was hypothesized that the presence of Beach
Drive alongside Rock Creek would result in higher pH, nitrate, and phosphate levels, and
decreased diversity and abundance of vegetation than would be found in the tributaries
feeding into the creek and the areas of natural habitat that house them. Over the course of
multiple weekend trips into the park, water samples were collected and photographic
evidence of vegetation was recorded. Analysis found that the average pH, nitrate, and
phosphate levels in Rock Creek adjacent to Beach Drive were in fact higher than the
tributaries. This difference was attributed to road’s role in facilitating urban stormwater
runoff that often results in higher levels of pH, nitrate, and phosphate. It was also found
that while the species richness did not vary widely between Beach Drive and the natural
areas found further within the park, their abundance did. The difference in richness was
attributed to the presence of a pervasive non-native invasive species and in abundance to
higher levels of disturbance found along Beach Drive; namely, the weekend users of this
stretch of road (which is closed to traffic on those days) who occasionally like to walk
and run on the softer soil that would otherwise be home to vegetation.
INTRODUCTION
Established in 1890, Rock Creek Park is the oldest and largest urban national park
in the United States and one of the oldest and largest natural parks in the world, covering
over 2,800 acres and comprising 7% of Washington, D.C. (NatureServe and NPS NCR,
2016; Carruthers et al., 2009). It serves as a natural oasis in the middle of the city that
provides a multitude of recreational and ecological benefits to millions of visitors each
year (Carruthers et al., 2009). The park is home to numerous hiking and horse-riding
trails that wind and weave their way throughout its footprint, affording visitors close
access to its unique flora, fauna, and landscape.
This close proximity to anthropogenic activity has resulted in an increase of
stressors to the park, however. Its urban setting has left it vulnerable to high levels of
ozone and atmospheric deposition due to air pollution; increased pollutant and nutrient
loading via stormwater runoff; habitat fragmentation due to the construction of roads
around and within the park; and increased levels of disturbance due to its high visitation
rate (Carruthers et al., 2009). As Forman and Alexander (1998) noted, runoff facilitated
2. 2
by the presence of roads often adversely affects stream ecosystems, where pollutants are
dispersed and diluted over considerable distances. Further, Trombulak and Frissell (2000)
found that while not all species and ecosystems are equally affected by roads, their
presence adds nutrients to roadside environments and is highly correlated with species
composition, population sizes, and hydrologic and geomorphic processes that shape
aquatic and riparian systems.
This project set out to assess if Beach Drive, which is part of the heavily
trafficked Rock Creek Parkway that bisects the park from north to south, had an impact
on the water quality and vegetative abundance of the segment of Rock Creek and its
banks immediately adjacent to it. The hypothesis was two-fold: 1) that the presence of
Beach Drive would result in higher pH, nitrate, and phosphate levels than would be found
in the tributaries within the park away from any roads; and 2) that the road’s presence
would result in a lower richness and abundance of plant species alongside it than would
be found alongside the tributaries within the park away from any roads. This hypothesis
was tested by first collecting samples of water from the segment of Rock Creek adjacent
to Beach Drive and from two tributaries found further within the park. These samples
were tested for their pH, nitrate, and phosphate levels and their averages then analyzed to
assess whether any statistically significant difference was present. Plant species richness
and abundance were also observed in both the road-adjacent and road-free habitats,
comparing the two for any of the hypothesized differences.
MATERIALS AND METHODS
Water Quality Analysis
For the water quality analyses, the study area was narrowed from the entirety of
Rock Creek alongside to the 1.5-mile length that runs along the section of Beach Drive
that is closed to traffic on weekends (the road is highlighted in yellow in Figure 1). This
allowed for easy and safe access to the stretch of Rock Creek that runs directly alongside
it. This formed the northern and southern borders of the study area, with the eastern
border being the Valley Trail (shown in pink on Figure 1). The western border of the
study area was the Western Ridge Trail (shown in green on Figure 1). This stretch of
Rock Creek was then divided up into six grid cells of equal size/length (1320 ft each).
Over the course of four weekend trips to the park, five sets of samples (with one sample
each of pH, nitrate, and phosphate constituting a set) were randomly taken from each
grid, for a total of 30 samples. For the comparison tributaries, the two most prominent
were selected. These were divided into three grid cells each, with five sets of samples
being taken from each grid, again creating a total of 30 samples for the two tributaries.
3. 3
FIGURE 1: Map of study area. Beach Drive is highlighted in yellow; the Western Ridge Trail is
highlighted in green; and the Valley Trail is highlighted in pink. The two tributaries are shown in
blue and labeled T1 and T2, and the six grids are displayed in red.
SOURCE: Adapted from NPS, 2016.
pH Testing
For pH, a HealthyWiser Digital pH Meter with a 0.00-14.00 pH range purchased
from Amazon.com was used. After the initial calibration, the digital pH meter was
inserted into Rock Creek and the two tributaries at the selected locations and held there
for 60 seconds, allowing for a full accounting of the pH level(s) and to set a standard
across all samples. This field research took place during the daytime and the data was
recorded onsite and later entered into a spreadsheet for analysis. Analysis included
computing the mean, standard variation, and variance for the two data sets (Rock Creek
was one, the two tributaries was the other) and then running a two-tailed T-Test to
ascertain whether or not any observed differences were statistically significant at a 95%
confidence level.
Nitrate and Phosphate Testing
To test the levels of nitrate in Rock Creek and the two tributaries, an API Nitrate
Test Kit that tested nitrate levels from 0-160 ppm was purchased from Amazon.com and
used. A clean test tube was filled with 5mL of water from Rock Creek and the two
4. 4
tributaries at the selected sites. Two test solutions were then added to the test tube, with a
five-minute waiting period following. Once the waiting period was complete, the color of
the water in test tube was compared to seven color-coded comparison levels on a
“Freshwater Nitrate Color Card” (shown in Figure 2a). These seven color-coded
comparison levels were for 0, 5, 10, 20, 40, 80, and 160 ppm. The closest level was
chosen, with an averaged level used for when the sample was between two levels. This
field research took place during the daytime and the data was recorded onsite and later
entered into a spreadsheet for analysis. Analysis included computing the mean, standard
variation, and variance for the two data sets (Rock Creek was one, the two tributaries was
the other) and then running a two-tailed T-Test to ascertain whether or not any observed
differences were statistically significant at a 95% confidence level.
To test the levels of phosphate in Rock Creek and the two tributaries, an API
Phosphate Test Kit that tested phosphate levels from 0-10 ppm was purchased from
Amazon.com and used. Similar to the nitrate testing, a clean test tube was filled with
5mL of water from Rock Creek and the two tributaries at the selected sites. Two test
solutions were then added to the test tube, with a three-minute waiting period following.
Once the waiting period was complete, the color of the water in test tube was compared
to seven color-coded comparison levels on a “Freshwater Phosphate Color Card” (shown
in Figure 2b). These seven color-coded comparison levels were for 0.0, 0.25, 0.5, 1.0,
2.0, 5.0, and 10.0 ppm. Again, the closest level was chosen, with an averaged level used
for when the sample was between two levels. This field research took place during the
daytime and the data was recorded onsite and later entered into a spreadsheet for analysis.
Analysis included computing the mean, standard variation, and variance for the two data
sets (Rock Creek was one, the two tributaries was the other) and then running a two-
tailed T-Test to ascertain whether or not any observed differences were statistically
significant at a 95% confidence level.
a b
FIGURE 2: The color-coded comparison cards for nitrate (a) and phosphate (b) levels.
5. 5
Vegetation Analysis
To compare the abundance of vegetation alongside Beach Drive to the areas
alongside the two tributaries, a simple quadrat composed of PVC pipe was constructed.
Lengths were measured, selected, and purchased from a local hardware store that when
inserted into angular connection pieces formed a one square meter quadrat. Due to the
winter season, sampling for this analysis was restricted to one day in late April in order to
allow for seasonal vegetation to make an appearance as the weather warmed. One sample
was taken at random in each of five locations alongside the two tributaries at a distance of
0-5 meters from the water, and ten taken along the 1.5-mile length of Beach Drive that
comprised the northern and southern boundaries of the study area at distances of 0-5
meters from the road. This field research took place during the daytime and photographs
were taken of each sampling site, allowing for further analysis and comparison.
RESULTS
Water Quality Analysis
pH Testing
Upon analysis, the mean pH for Rock Creek was found to be 8.37 with a standard
deviation of 0.28, while the mean pH for the two tributaries was found to be 7.29 with a
standard deviation of 0.46 (Figure 3). When a two-tailed T-Test was run comparing the
two sets of data, a p-value of 9.02E-15 was given. This p-value is less than 0.05, which
indicates that the null hypothesis that the mean pH levels for Rock Creek and the two
tributaries are statistically the same should be rejected.
FIGURE 3: Comparison of average mean pH levels for Rock Creek and two tributaries.
6.6
6.8
7
7.2
7.4
7.6
7.8
8
8.2
8.4
8.6
Mean
pH
level
Rock
Creek
Tributaries
6. 6
Nitrate and Phosphate Testing
Upon analysis, the mean nitrate level for Rock Creek was found to be 4.58 with a
standard deviation of 0.95, while the mean pH for the two tributaries was found to be
2.17 with a standard deviation of 3.20 (Figure 4). When a two-tailed T-Test was run
comparing the two sets of data, a p-value of 3.65E-04 was given. This p-value is less than
0.05, which indicates that the null hypothesis that the mean nitrate levels for Rock Creek
and the two tributaries are statistically the same should be rejected.
FIGURE 4: Comparison of average mean nitrate levels for Rock Creek and two tributaries.
For phosphate, upon analysis the mean level for Rock Creek was found to be
0.121 with a standard deviation of 0.02, while the mean pH for the two tributaries was
found to be 0.083 with a standard deviation of 0.06 (Figure 5). When a two-tailed T-Test
was run comparing the two sets of data, a p-value of 0.002 was given. This p-value is less
than 0.05, which indicates that the null hypothesis that the mean phosphate levels for
Rock Creek and the two tributaries are statistically the same should be rejected.
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Mean
nitrate
level
(in
ppm)
Rock
Creek
Tributaries
7. 7
FIGURE 5: Comparison of average mean phosphate levels for Rock Creek and two tributaries.
Vegetation Analysis
As a whole, a much higher abundance of vegetation was observed along the
tributaries to Rock Creek (Figure 6a) than along the section of the creek adjacent to
Beach Drive (Figure 6b). Vegetation abundance was relatively high in all sites observed
along the tributaries. For Rock Creek, the biggest determinant in vegetation abundance
was the distance between the creek and Beach Drive. Where the distance between the two
was less than 10 m, low vegetation abundance was observed (Figure 7a) but where the
distance was greater than 10 m, higher vegetation abundance was observed (yet was still
less than was found at any point along the two tributaries; Figure 7b). Species richness
was relatively similar in both sections of the study area; common plants found were the
American hornbeam (Carpinus caroliniana), the New York fern (Thelypteris
noveboracensis), and the lesser celandine (Ranunculus ficaria), an invasive species also
known as the fig buttercup (Ficaria verna). The lesser celandine was widely established
in and appeared to dominate the sites where it was found, behavior consistent with
literature on the species (NPS, 2010).
0
0.05
0.1
0.15
0.2
0.25
Mean
phosphate
level
(in
ppm)
Rock
Creek
Tributaries
8. 8
a
b
FIGURE 6: Observed vegetation abundance along tributaries (a) and Beach Drive (b).
a b
FIGURE 7: Observed vegetation abundance where distance between Rock Creek and Beach
Drive was <10 m (a) and >10 m (b).
9. 9
DISCUSSION AND CONCLUSIONS
The hypothesis that this research project tested was two-fold: 1) that the presence
of Beach Drive would result in higher pH, nitrate, and phosphate levels than would be
found in the tributaries within the park away from any roads; and 2) that the road’s
presence would result in a lower richness and abundance of plant species alongside it
than would be found alongside the tributaries within the park away from any roads. With
regards to the water quality analysis, the p-values given by all three two-tailed T-Tests
were less than 0.05, which indicated that the null hypothesis that the mean pH, nitrate,
and phosphate levels for Rock Creek and the two tributaries were statistically the same
should be rejected. There is a <1% chance that, by random sampling error, the estimated
means would appear different when the true means are really not different. In other
words, there is a >99% chance that any difference between the two means is not due to a
random sampling error and that they are in fact likely statistically different. Therefore, it
is concluded that the pH, nitrate, and phosphate levels are in fact higher in the segment of
Rock Creek adjacent to Beach Drive than they are in the two tributaries located within
the park, away from the road.
According to criteria developed by the EPA and others, the average pH of 8.37 for
the segment of Rock Creek alongside Beach Drive that was observed is considered
slightly high; the average level of nitrate of 4.58 that was observed is considered severely
impaired; and the average level of phosphate of 0.121 is considered not impaired
(Vandervoort, 2007). It is acknowledged that these results, and thus conclusions and
speculations, would benefit from replication utilizing more sophisticated tools. While
impressive for a layman’s device, the pH tester used would likely not pass muster in a
professional laboratory that analyzed water quality. Further, the accuracy and precision of
the testing kits for nitrate and phosphate left something to be desired. They relied upon
the human eye to match the colored water in test tubes to a color-coded reference chart,
which itself had a rather large range of values covered between colors. This left a lot of
room for interpretation in the results and thus, they cannot be said to be exact in any way.
It must also be noted that while a statistically significant difference was found
between pH, nitrates, and phosphates in Rock Creek along Beach Drive than in the
tributaries feeding into it, this difference may be due to runoff from further upstream and
not necessarily from the adjacent road. While the impact of Beach Drive cannot be ruled
out as the lack of vegetation cover allows easier transit for runoff, it cannot be
definitively stated how much of an impact the road’s presence has on water quality. I am
confident in stating that it does have an impact, however, as the results are in line with
Carruthers et al.’s (1999) finding that automobile traffic is one of three equally significant
internal threats to the natural resource condition of the park. Interestingly, the impact of
invasive exotic species is one of the other two threats, which will be discussed shortly
(Carruthers et al., 1999).
Finally, an interesting effect on water quality was observed on the final day of
sampling. After a morning of steady rain, the samples taken that afternoon all displayed
lower pH levels than any of samples that were taken on previous days. This was
attributed to the fact that rainwater is slightly acidic, which would have the resulting
effect of lowering the pH of the water in both Rock Creek and the tributaries, and thus for
10. 10
all of the samples taken that afternoon. Further research could be done to assess whether
the difference between samples taken during dry conditions and those taken during rainy
conditions is statistically significant.
With regards to the vegetative analysis, the observations led to the conclusion that
while the richness between the two locations did not vary widely, the abundance was
noticeably greater along the two tributaries than along Beach Drive. This difference was
attributed to two main factors: 1) anthropogenic disturbance in the form of runners,
walkers, and automobiles; and 2) the sandier soils found along Beach Drive. The first
factor appears to be a manifestation of Connell’s intermediate abundance hypothesis,
where diversity declines at higher disturbance levels due to increased mortality rates
(Connell, 1978; Cain, 2014). High volumes of runners and walkers utilize the softer
ground of the creek bank on the weekends when Beach Drive is closed, and it would
make sense for this increased disturbance to result in high rates of mortality among
established and juvenile plant life. Additionally, the location of the creek bank results in
it being the first hit by any stormwater or automobile runoff. The second attributed factor,
sandier soils, may also play a role in diminished vegetative abundance, as coarse-grained
sandy soils hold less of the water and nutrients necessary for plant life (Gonzaga College
High School, 2007).
It should also be noted that the greater abundance of vegetation found alongside
the two tributaries found within the park is not necessarily indicative of great habitat
health. In fact, the most widely seen and abundant species, the lesser celandine
(Ranunculus ficaria; also known as the fig buttercup or Ficaria verna), is a non-native
invasive species that has been show to exert a negative impact on ecosystem biodiversity
(NatureServe and NPS NCR, 2016). This vigorously growing species forms large, dense
patches in floodplain forests (where soils are more fertile and moist), displacing many
native plant species, especially those with the similar spring flowering life cycle (NPS,
2010). The lesser celandine also holds a developmental advantage over its native
competitors in that it emerges well in advance of them, allowing it to establish and
overtake areas rapidly (NPS, 2010). The species germinates and spreads easily and is
most prolific along trails and edge habitats, which it prefers (Gonzaga College High
School, 2007). Their abundant presence poses a great threat to the ecological integrity of
the natural community within the park (Gonzaga College High School, 2007). By shading
out native spring ephemerals that normally provide food and shelter to butterflies and
other insects, birds, and other animal species, the lesser celandine interrupts a whole web
of natural interdependencies (NatureServe and NPS NCR, 2016).
Rock Creek Park is a valuable natural oasis in the urban environment of
Washington, D.C. It has been determined to have a very high regional ecological value,
supporting many communities of flora and fauna and housing increasingly rare seeps and
springs, some of which serve as the primary habitat for a federally endangered species
endemic to the park, the Hay’s springs amphipod (Carruthers et al., 1999). If Rock Creek
Park is to maintain this status, it is the opinion of this author that the high levels of pH,
nitrate, and phosphate found in Rock Creek be addressed via additional research and the
support of further work focused on lessening the impact of stormwater runoff. The
decreased vegetative abundance observed along Beach Drive in this study is likely an
acceptable lost cause of sorts, as the resulting trade-off is 1.5-miles of open, car-free road
11. 11
for pedestrians to safely utilize on weekends. Additionally, while the increased vegetative
abundance observed along the two tributaries was nice to see, the fact that an invasive
species comprises the majority of that vegetation is troubling. Further research and
control measures are suggested to address this invasive species and lessen its impact.
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