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Markus Race 2015 3508ENV
Water Quality Monitoring Assessment:
Mudgeeraba Catchment - August 2015:
Pollution Chemistry - 3508ENV
Monitoring Team: - Markus Race
- Sean Wotherspoon
- Shannon Cavanough
- Lucy Wang
Figure 1: Sample Site - Mudgeeraba Catchment (Mud 5) Source: Author
Markus Race 2015 3508ENV
Executive Summary:
The assessment of water quality and any resulting interaction with the physical/chemical environment
has been considered significant since the National Water Quality Management Strategy (NWQMS)
was founded in 1992 (Australian Government, 2015).
The Australian Government considers clean water a precious commodity and ecological necessity.
However due to urbanisation water is frequently used for multiple purposes in everyday life
including; domestic usage, recreational swimming, agriculture and irrigation, commercial fishing and
industrial usage. These activities overtime can have chronic effects on the surrounding environment
including pollution, acidification and eutrophication. Due to these reasons environmental scientists
conduct research on a regular basis to assess the water quality of a particular catchment.
The following report will use the standard methodological approach to assessing water quality of a
local Gold Coast catchment system. The assessment will be composed of two main factors qualitative
and quantitative data (* see group logbook). The parameters analysed in the initial design are Total
Suspended Solids (TSS), turbidity, faecal coliforms, phosphates, nitrates and In-situ parameters
dissolved oxygen saturation (%), temperature, conductivity and pH. QA/QC methods were also used
throughout the experiment to avoid erroneous data.
The results collected determined that there was a complex relationship connecting biophysical,
biochemical and ecological factors. It was discovered that catchment sites Mud 1-3 showed the
highest concentration of nutrient parameters in the extension phase (ammonia, AHP and chlorophyll)
while Mud 4 showed the highest reading for ammonia of all the sites across the entire assessing
period.
The final result and the next course of action: Mud 4 was shown to be the most affected catchment
area along the Mudgeeraba River and hence; should be monitored and studied to determine mitigation
measures to remove or rehabilitate the catchment system. Further studies are required.
Markus Race 2015 3508ENV
Table of Contents:
1.0 Introduction: ................................................................................................................................ 4
1.1 Forward: .................................................................................................................................. 4
1.2 Mudgeeraba Catchment Overview: ........................................................................................ 5
2.0 Scoping Phase – Project Design Overview: ................................................................................ 6
3.0 In-Situ Field Catchment Analysis: .............................................................................................. 7
3.1 Dissolved Oxygen (DO).......................................................................................................... 7
3.2 pH: .......................................................................................................................................... 7
3.3 Water Temperature: ................................................................................................................ 7
3.4 Conductivity: ........................................................................................................................... 8
4.0 SEQ Water Quality Guidelines 2009: ......................................................................................... 8
5.0 Laboratory Catchment Analysis: ................................................................................................ 9
5.1 Dissolved Heavy Metals: ........................................................................................................ 9
5.2 Phosphates and Nitrates: ......................................................................................................... 9
5.3 Total Suspended Solids (TSS): ............................................................................................. 10
5.4 Turbidity: .............................................................................................................................. 10
5.5 Faecal Bacteria: ..................................................................................................................... 11
5.6 Ammonia: ............................................................................................................................. 11
5.7 Chlorophyll: .......................................................................................................................... 12
5.8 Acid Hydrolysed Phosphates: ............................................................................................... 12
6.0 Methodology: ............................................................................................................................ 13
6.1 Sampling Procedure: ............................................................................................................. 13
6.2 In-Situ measuring apparatus: ................................................................................................ 14
7.0 QA/QC Methods: ...................................................................................................................... 15
8.0 Results: ...................................................................................................................................... 16
8.1 In-Situ Results: ...................................................................................................................... 16
8.2 Laboratory Analysis Results: ................................................................................................ 20
9.0 Discussion of Analysis: ............................................................................................................. 28
9.1 Rainfall Parameter: ............................................................................................................... 28
9.2 In-Situ Parameter Relationships: .......................................................................................... 28
9.3 Laboratory Analysis Relationships: ...................................................................................... 29
9.4 Cumulative Parameter Relationships: ................................................................................... 30
9.5 Previous Case Studies: .......................................................................................................... 31
10.0 Conclusion: ............................................................................................................................... 32
11.0 References ................................................................................................................................. 33
Markus Race 2015 3508ENV
1.0 Introduction:
1.1 Forward:
The assessment of water quality and any resulting interaction with the physical/chemical environment
has been considered significant since the National Water Quality Management Strategy (NWQMS)
was founded in 1992 (Australian Government, 2015). The organisation works with state and territory
governments within the countries of Australia and New Zealand. The objective of the NWQMS seeks
to maintain the quality of the nations’ water sources whilst assisting businesses, industries,
environments and communities that depend on water for their respective developments. (Australian
Government, 2015)
In society, water may be used for recreational, industrial and residential purposes; including domestic
usage, recreational swimming, agriculture and irrigation, commercial fishing, industrial usage and
general scientific investigations (NSW Government Office of Environment & Heritage, 2014). These
activities could eventually cause water pollution, resulting in various testing and monitoring plans of
different catchments that have been identified as polluted.
The following report will investigate by means of conducting a water quality assessment on the in-situ
condition of the Mudgeeraba Catchment during August – October.
Figure 2: Research Team from left to right (Shannon, Lucy and Sean) Source: Author
Markus Race 2015 3508ENV
1.2 Mudgeeraba Catchment Overview:
The Mudgeeraba Catchment covers 121 km2 of the greater Nerang River Catchment which spans
across South East Queensland (SEQ) (CIty of Gold Coast, 2006). As society progresses, the
catchment has been recently exposed to high pressure from rapid development of rural and urban
residential infrastructure.
Since 2001, 28% of total net catchment has been removed (Robertson, et al., 2006).
Consequentially sedimentation has become more apparent in the catchment causing the degradation of
the aquatic ecosystem particularly those basins downstream which act as sinks for the catchment
(Robertson, et al., 2006). The area is also utilised for agricultural purposes (e.g. cattle, crops etc.)
hence runoff from agricultural practices in the form of pesticides and herbicides must be considered in
the following investigation. The Mudgeeraba catchment is considered to be a highly dynamic system
with frequent extreme rainfall and runoff events (18m3 sec-1 Km2). Hydrological processes such as
these can cause debris flow (Robertson, et al., 2006).
The topography and geomorphology of a catchment may cause different responses to high stream
flow moments (Robertson, et al., 2006).
The distribution of riparian vegetation along the river depends on the type of catchment. In general; a
catchment consists of three components upstream, midstream and downstream (Robertson, et al.,
2006).
Upstream; usually mountainous regions. Characteristics: vertical bedrock cliffs, less fertile soils
(compared to downstream) and a greater remnant vegetation density.
Midstream - Downstream; usually semi-alluvial to alluvial regions. Characteristics: riparian
vegetation has been cleared leaving small fragments of vegetation from the adjacent forest along the
riverside. Vegetation in these regions can comprise of both remnant and regrowth riparian vegetation
(Robertson, et al., 2006).
The region of SEQ is classified as a sub-tropical climate with alternating weather and climate
patterns; during summer most of the net annual rainfall occurs with occasional extreme daily rainfall
events. Historically; a daily maxima of 600 mm of rainfall has been documented around Mt
Tambourine (Robertson, et al., 2006).
These events can trigger mudslides and increase the occurrence of debris in the catchment. Since
these disturbances can cause a positive feedback on the already vulnerable system, climate and
weather conditions are an important abiotic variable to consider in the investigation (Robertson, et al.,
2006).
Markus Race 2015 3508ENV
Figure 3: Map of Mudgeeraba Catchment (Source: Google Maps)
2.0 Scoping Phase – Project Design Overview:
The objective of the following water monitoring assessment project is to establish overall health of the
Mudgeeraba Catchment. To achieve a benchmark for the overall catchment health; six sampling sites
will be judged based on both qualitative and quantitative information.
Qualitative:
General aesthetics (vegetation, water colour, animal presence).
Stream characteristics (flow rate, colour, debris evidence).
Anthropogenic (foreign objects, evidence of pollution, biofilm and any industries or activities
that may affect the water quality of the catchment).
Natural processes (wind speed, rainfall evidence, and animal presence and current climate
inducing weather conditions) *(For full descriptions see group logbook).
Quantitative:
In-situ site readings (DO, water temperature, pH and salinity)
Laboratory Analysis (Total Suspended Solids, faecal coliforms, NOxs, phosphates, heavy metals
and turbidity). These parameters will be identical for all sampling sites.
Since the Mudgeeraba Catchment flows through mountainous, recreational, agricultural, semi-
suburban, suburban and suburban grassland regions, to actively obtain unbiased scientific information
sampling sites will be distributed along the entire catchment at a distinct area. There will be a total of
six sampling sites with identical experimental procedures carried out at each site respectively.
Mudgeeraba
Catchment
Markus Race 2015 3508ENV
3.0 In-Situ Field Catchment Analysis:
3.1 Dissolved Oxygen (DO)
Parameter is highly dependent on the overall equilibrium between the total yield of oxygen produced
(e.g. photosynthesis, hydrological processes) and the total amount of oxygen consumed (e.g.
respiration of aquatic life and various chemical reactions) (United States Environmental Protection
Agency, 2012). Biochemical Oxygen Demand (BOD) is the quantity of oxygen required by micro-
bacteria for decomposing waste effluent (i.e. sewage, stormwater, urban runoff and agricultural
practices). Concentrations of DO can also be influenced by water temperature and atmospheric
pressure. (United States Environmental Protection Agency, 2012).
Units: mg/L, % saturation and ppm (Allaby & Park, 2013)
Data Collection Method: YSI Multi-parameter Probe.
3.2 pH:
The parameter of pH can be quite significant in determining water quality since; a slightly acidic pH
can affect aquatic life that live in a particular catchment (i.e. when pH<7 it’s considered slightly
acidic). In these slightly acidic water bodies, access to nutrients (e.g. phosphates and nitrates) may be
limited and any heavy metals present may become soluble in the water and hence; increase in toxicity
(Perlman, 2015). Some serious environmental impacts may occur at these pH values - @ 4.5 pH fish
reproduction can be affected and @ 3.5 pH adult fish mortality begins to increase (Perlman, 2015).
Units: (pH scale ranges from very acidic (1.00) to very alkaline (14.00)).
Data Collection Method: YSI Multi-parameter Probe.
3.3 Water Temperature:
The temperature of a water-body is significant in determining quantity of dissolved oxygen within the
catchment, since there is a direct relationship between water temperature and DO. I.e. as temperature
decreases the concentration of DO will increase (NSW Government Local Land Services). An
increase in water temperature also increases the rate of biological processes undertaken by aquatic
organisms within the catchment (NSW Government Local Land Services). Factors affecting water
temperature include; seasonality, water storage and shading conditions.
Units: ℃ (i.e. the Celsius reading for the catchment water temperature).
Data Collection Method: YSI Multi-parameter Probe.
Markus Race 2015 3508ENV
3.4 Conductivity:
The parameter of conductivity measures the ability of a catchment to pass an electrical current. These
electric potentials are directly proportional to the total amount of dissolved matter suspended within
the water column (United States Environmental Protection Agency, 2012). Hence; inorganic dissolved
compounds, anions, cations and complex organic compounds including; phenols, oils and sugars
which don’t react to the measuring probe.
Aside from water temperature (increasing the conductivity of a catchment) other external factors can
also influence the results taken by the measuring probe. Some of these factors include;
urban/industrial runoff (increase conductivity) and surrounding catchment geology (increase
conductivity (United States Environmental Protection Agency, 2012).
Units: micro-Siemens per centimetre (𝜇S/cm)
Data Collection Method: YSI Multi-parameter Probe.
4.0 SEQ Water Quality Guidelines 2009:
Table 1: South East Queensland Water Quality Guidelines 2009 (Lowland Stream Parameters)
Parameter:
Guideline (Lowland Steams):
Dissolved Oxygen
85 – 110% saturation
pH
6.5 – 8.0 pH
Phosphates
50- micro gram /L
FRP
20 micro-gram/L
NOx
60 - micro gram /L
Total Suspended Solids
6 mg/L
Turbidity
50 NTU
Ammonia
20 micro-gram /L
Chlorophyll -a
5.0 micro-gram/L
Markus Race 2015 3508ENV
5.0 Laboratory Catchment Analysis:
5.1 Dissolved Heavy Metals:
To calculate the concentration (ppm) of certain dissolved heavy metals within a catchment multi-
element methods may be required for environmental management and geochemical analysis. Previous
studies involve using Particle induced X-ray emission (PIXIE) to determine the concentration since
suspended matter within the water column may absorb these analytes. (Carserud, 1983) (Krauskopf,
1956)
These suspended particles within the catchment are comprised of clastic and endogenic materials.
Most clastic materials originate from physical weathering processes and erosion, yielding quartz,
feldspar and mica. On the other hand; endogenic materials are usually associated with the natural
processes of the catchment itself (e.g. precipitation).
5.2 Phosphates and Nitrates:
The parameter of nutrient levels (i.e. phosphates and nitrates) is important to monitoring analysts
because it can be an indication for impending eutrophication of the catchment. This process occurs at
high concentrations (ppm) of nutrient levels. Sources of these nutrients include; sewage, urban runoff,
industrial waste (agricultural pesticides) and natural phosphates from the adjacent bedrock
(Oram, 2014).
The process of Eutrophication; is the gradual decline of stream catchment water quality as a result of
increased nutrients entering through anthropogenic and natural sources. Specifically; phosphates
(PO43-) and nitrates (NO3
2-) which cause explosions of algal growth forming thin layers on the surface
of the catchment. These algal sheets in-turn consume oxygen (respiration) during the night and lower
the overall dissolved oxygen content within the catchment, increasing the mortality of aquatic life in
the process. Hence; high levels of phosphates and nitrates should decrease the total amount of DO in
the catchment. (Oram, 2014)
Markus Race 2015 3508ENV
5.3 Total Suspended Solids (TSS):
The parameter of Total Suspended Solids (TSS) involves any matter that cannot pass through a 2-
micron (0.002cm) filter. These particles may include various types of; silt, clay, plankton, algae, small
debris particles and other particulate matter. Common origins of suspended solids include; industrial
waste water discharge, soil erosion and sewage waste (EPA, 2012).
Previous research has shown that total suspended solids have multiple adverse effects on the
catchment particularly around agricultural areas. It has been documented that toxicants (e.g.
dangerous chemicals) can be transported by the suspended solids and degradation of the water quality
or riparian vegetation within the vicinity. High levels of suspended solids can also lower the water
clarity resulting in direct effects including; increasing water temperature and indirect effects
including; lowering dissolved oxygen due to decrease in photosynthesis (EPA, 2012).
5.4 Turbidity:
The parameter of turbidity is used in conjunction with suspended solids tests to determine the clarity
of water within a catchment (Perlman, 2015). Unlike suspended solids tests which measure the
concentration (ppm) turbidity aesthetics property of a catchment. Turbidity is typically measured
using a turbidity-meter, where light is passed through a water sample and the scattered light is
proportional to the turbidity readout measured in NTU’s (nephelometric turbidity units).
When assessing the turbidity of a catchment; a monitoring analyst must account for geological
processes (erosion), recent weather rainfall events and stream flow velocity. Hydrological processes
including velocity are known to disturb and cycle sediment within the water column. Stagnant water
may produce a green surface layer (low turbidity i.e. less than 10NTU’s) and fast flowing water may
cycle sediment (high turbidity) (Perlman, 2015).
Further research carried out at Chesapeake Bay investigated the properties of submissive riparian
vegetation (e.g. angiosperms and macrophytes). These aquatic plants provide nutrients for shellfish
and finfish as well as affecting nutrient levels, sediment stability and hence turbidity (Dennison, et al.,
1993).
Markus Race 2015 3508ENV
5.5 Faecal Bacteria:
The quantity and species of faecal coliforms is a useful indicator of assessing sewage contamination.
There are two main species of bacteria present with in faeces of animals and humans, faecal coliforms
and faecal streptococci. Environmental Scientists can use data obtained from these groups to
determine the presence of micro-organisms and pathogens that may pose a threat to the catchment and
the surrounding environment (EPA, 2012) (Jolley & English, 2015).
Sources of faecal bacteria include; septic tanks, waste-water treatment plants, agricultural manure
produced from livestock and stormwater runoff (Jolley & English, 2015) (Ferguson, et al., 1996).
Faecal coliforms can also indicate nutrient levels and deplete the total bio-available amount of
dissolved oxygen. The EPA currently uses strands of E.coli and enterococci as benchmarks for
freshwater systems (EPA, 2012).
A research paper published on Science Direct in 1996, mentions various bacteriological testing on six
different estuaries in Sydney, Australia. The scientists discovered the relationship between rainfall
and an increase in the concentration of faecal bacteria in selected sediments (Ferguson, et al., 1996).
5.6 Ammonia:
High concentrations of ammonia can degrade water quality and due to its toxicological properties may
pose a threat to catchment welfare. Sources of ammonia include; wastewater, agricultural runoff,
fertilizer groundwater contamination and stormwater discharges. Ammonia is formed from inorganic
nitrogen by bacteria living in aerobic waters and sediments (Environmental Protection Agency, 2012).
However, the un-ionised ammonia suspended in the water column at equilibrium with ammonia and
hydroxide ions is more toxic. Le Chatelier’s Principle states that adding stress to one side of the
equilibrium will shift it in the other direction. Hence; increasing pH and Temperature results in an
increase of un-ionised ammonia (Environmental Protection Agency, 2012).
Markus Race 2015 3508ENV
5.7 Chlorophyll - 𝜶:
The parameter of chlorophyll is an extension to the phosphates, nitrates and ammonia tests.
Environmental Scientists can model the relationship of nutrient bioavailability with chlorophyll
because the compound exists in marine phytoplankton biomass and these organisms have a high
chlorophyll to nutrient ratio (AIMS, 2014).
Chlorophyll concentrations can also be affected by rainfall, seasonal variation (summer), water
temperature and light intensity increase. High nutrient reading in a catchment may also be evident of
impending eutrophication which in extreme circumstances can lower dissolved oxygen saturation and
cause hypoxic or anoxic situations (Ozcoasts, 2015).
Research by AIMS (Australian Institute of Marine Science) through monitoring has been conducted
since 1999 for water quality assessments (AIMS, 2014).
5.8 Acid Hydrolysed Phosphates:
The parameter of Acid Hydrolysed Phosphates (AHP) is a more accurate extension to the phosphates
analytical test. Since; the Total Phosphorus (TP) available in a catchment is the sum of the dissolved
(orthophosphate), the inorganic and organic phosphates. Under normal circumstances the inorganic
phosphate is difficult to analyse using the standard method for phosphates. Hence; nitric acid, heat or
enzymes can be added to the inorganic (un-reactive) phosphates using the AHP method to separate the
phosphates from precipitate or microbes (ASA Analytics, 2015).
AHD is affected by temperature increase and pH.
Research conducted by Monsanto in 1995 determined that an increase in temperature speeds up the
overall reaction and a decrease in pH (acidify) will increase the rate of the overall reaction. Hence;
why nitric acid was added to a centrifuged phosphate mixture (AmeriWest Water Services Inc., 2013).
Markus Race 2015 3508ENV
6.0 Methodology:
6.1 Sampling Procedure:
Table 2: Sampling Procedures for Catchment Study
Parameter:
Description:
TSS and Turbidity:
All samples and replicates were taken using 500
mL plastic bottles using an extension rod. No
filtration or special considerations were
required.
Nitrates and Phosphates:
Acid Hydrolysed Phosphates:
Ammonia (NH4)
All samples and replicates were taken using 250
mL plastic bottles using an extension rod.
Filtration was required but no special
considerations were required.
Total Faecal Coliforms:
All samples and replicates were taken using 500
mL glass bottles using an extension rod. No
filtration was required but all bottles were
wrapped in aluminium foil.
Chlorophyll 𝜶
All samples and replicates were taken using 500
mL plastic bottles using an extension rod. No
filtration was used but all samples were kept in
the dark during sampling.
Markus Race 2015 3508ENV
6.2 In-Situ measuring apparatus:
To measure the In-Situ measurements across the catchment sites, an YSI
probe was used to measure the following parameters; Dissolved Oxygen,
Water Temperature, Conductivity and pH.
During sampling the probe was dunked about 10cm into the water body
and the resulting values for the above parameters were recorded in the
group logbook * (see appendix).
Table 3: Preservation and Special Considerations for Water Quality Parameters
Parameter:
Total
Volume
(mL)
Bottle
Type:
Number of
Bottles
Preservation
Method
Special
Considerations
TSS and
Turbidity
1000 mL
Plastic
6 x 1000 mL
Cold
None
Nitrates,
Phosphates,
Acid
Hydrolysed
Phosphates
250 mL
Plastic
(FP)
12 x 250 mL
Cold
Filtering
Total Coliforms
500 mL
Glass
6 x 500 mL
Cold
Dark (foil)
Chlorophyll 𝜶
1000 mL
Plastic
6 x 1000 mL
Cold
Dark (foil)
Markus Race 2015 3508ENV
7.0 QA/QC Methods:
Field Log Book:
To insure all scientific investigating was credible, all field observations from the YSI Probe and the
current aesthetic/ physiological conditions and of the site where recorded by date and time. The Field
Log Book was updated upon each visit to the six catchment sites across a total of 10 weeks.
Calibration of the YSI Field Probe:
To insure all data received was scientifically accurate with minimal bias, the YSI Probe was
calibrated before going out into the field. When measuring DO (%) saturation concentrations the YSI
was also shaken and allowed to equilibrate for about 2 minutes.
Clean / Dirty Hands Technique – Not Used because all samples were filtered in the main lab.
Field Blanks / Controls:
To insure all lab analysis or field methodology was not erroneous, field blanks were collected at each
catchment site during the course of the water quality assessment. These blanks were treated under
identical circumstances to the main samples collected at each respective site.
QC Recovery:
QC Recovery (%) = 𝑀𝑒𝑎𝑠𝑢𝑟𝑒𝑑 𝑉𝑎𝑙𝑢𝑒
𝑇𝑟𝑢𝑒 𝐶𝑜𝑛𝑐𝑒𝑛𝑡𝑟𝑎𝑡𝑖𝑜𝑛 * 100
Markus Race 2015 3508ENV
8.0 Results:
8.1 In-Situ Results:
Figure 4: Dissolved Oxygen (% saturation) for the assessment period.
As seen in Figure 4; DO saturation (%) decreases across all catchments during the assessing period.
During the first sampling event (12/8) all the catchment sites recorded a value between than the max
and min SEQ Water Quality Guideline trigger, indicating a healthy oxygenic catchment.
During the second and third sampling events (25/8 – 16/9) there was a decrease in DO below the SEQ
Water Guideline limit for Mud 3-5, indicating dissolved oxygen saturation (%) has decreased while
during the fourth sampling event (7/10) there was an increase for sites Mud 4-6.
0
20
40
60
80
100
120
140
12-Aug 25-Aug 16-Sep 7-Oct
Dis
solv
ed O
xyge
n (
% s
atu
rati
on
)
Month
Dissolved Oxygen (% saturation)
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
Markus Race 2015 3508ENV
As seen in Figure 5; Water Temperature (℃) showed a clear increase across all catchments during the
assessing period. Most notably, catchment site MUD 6 has the most dramatic variation. During the
first sampling event (12/8) this site was the coldest of all the sites and towards the end of the assessing
period (7/10) had warmed up and become the warmest of all the sites. The trend observed here, can be
correlated to the depth of the catchment site and the seasonal variation.
0
5
10
15
20
25
12-Aug 25-Aug 16-Sep 7-Oct
Tem
per
atu
re (
C)
Month
Water Temperature
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
Figure 5: Water Temperature for the assessment period.
Markus Race 2015 3508ENV
As seen in Figure 6; Conductivity (mS/cm) has shown an increase across all catchment sites during
the assessing period. Mud 5 and Mud 6 in particular, exhibited higher conductivity probably due to
the depth, proximity and access to estuarine water bodies. These results don’t differ significantly
across all sampling events (12/8 – 7/10). The graph was also logged because some of the values
recorded were outliers with extremely high conductivity values.
0
0.5
1
1.5
2
2.5
3
3.5
4
12-Aug 25-Aug 16-Sep 7-Oct
LOG
-C
on
du
ctiv
ity
(mS/
cm)
Month
LOG - Conductivity (mS/cm)
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
Figure 6: LOG - Conductivity (mS/cm) for the assessment period
Markus Race 2015 3508ENV
Figure 7: pH scale readings for the assessing period
As seen in Figure 7; pH scale has shown minimal variation activity across all catchment sites during
the assessing period with the exception of Mud 1. Sampling event (16/9) for Mud 1 is the most
interesting; during this period, the pH value was almost 9 which is considered slightly alkaline for a
catchment site and above the SEQ Water Quality trigger value but since this phenomenon is non-
recurring during the remaining weeks it’s considered insignificant. Since pH of 7 is considered
neutral. Rainfall has also been documented during the assessing period and may have contributed to
the abnormal pH reading.
0
1
2
3
4
5
6
7
8
9
10
12-Aug 25-Aug 16-Sep 7-Oct
pH
(sc
ale)
Month
pH
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
Markus Race 2015 3508ENV
8.2 Laboratory Analysis Results:
Figure 8: Turbidity (NTUs) for the assessing period
As seen in Figure 8; Turbidity has shown a significant increase across all catchments during the
assessing period in particular Mud 4. During sampling events (12/8 – 7/10) turbidity had increased for
sites Mud 3-6 while Mud 1-2 remained unchanged. However; during sampling event (7/10) there was
a dramatic increase in nearly all the catchment sites, with the exception of Mud 5-6.
These spikes during sampling event (7/10) is probably due to recent rainfall washing sediment,
agricultural runoff and urban pollutants into catchment sites Mud 1-4.
All results were below the SEQ Water Quality Guideline trigger value for 2009.
0
5
10
15
20
25
12-Aug 25-Aug 16-Sep 7-Oct
Turb
idit
y (N
TUs)
Month
Turbidity (NTUs)
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
Markus Race 2015 3508ENV
Figure 9: TSS (mg/L) for the assessing period
As seen in Figure 9; TSS has fluctuated across all catchments during the assessing period. During
sampling event (12/8) TSS readings were just above the SEQ Water Quality Guideline trigger value
for each catchment site. Of particular interest is the obvious spike reading for sampling event (25/8)
for Mud 5, it is unknown exactly what has caused such a high reading above the SEQ Water
Guideline trigger value, however, it appears not to be the usual TSS reading for that particular
catchment site when comparing it to the next sampling event (7/10).
0
10
20
30
40
50
60
12-Aug 25-Aug 16-Sep 7-Oct
TSS
-m
g/L
Month
Total Suspended Solids (TSS)
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
Markus Race 2015 3508ENV
As seen in Figure 10; Faecal Coliform Activity fluctuates across all catchment sites during the
assessing period. During the assessment period there appears to be an increase in CPU/100 mL for
Faecal Coliforms. Mud 2 is of particular interest, the analysis shows a CPU/100mL for approximately
800 Faecal Coliforms during sampling event (Week 5). These results can be explained because Mud 2
is closest to recreational areas and septic tanks which could have contributed to the increase of faecal
coliform activity. Rainfall has also linked to increased faecal coliform activity, since major rainfall
events occurred during sampling events (Weeks 5-10) the number of coliforms at each catchment site
has increased.
No sampling event was recorded for Week 7.
0
100
200
300
400
500
600
700
800
900
Week 3 Week 5 Week 10
CFU
/10
0 m
L
Faecal Coliform CFU/100 mL
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
Figure 10: Bacterial Quantity (10mL) for Weeks 3-10 during the assessing period
Markus Race 2015 3508ENV
Figure 11: NOx’s (ppb) for the assessing period
As seen in Figure 11; NOx concentrations remained steady across all catchment sites during the
assessing period with the exception of Mud 3. During sampling event (12/8 – 25/8) NOx readings
were particularly high. This could be due to the various agricultural and farm practices in the local
area considering nitrates are a component of some pesticides and herbicides. During sampling event
(12/8 – 7/10) there was also exceptionally high NOx readings for Mud 2 and Mud 3.
All measurements were below the SEQ Water Guideline trigger value.
0
10
20
30
40
50
60
70
12-Aug 25-Aug 16-Sep 7-Oct
(NO
xs)
-P
Pb
Month
Nitrous Oxides (NOXs) - Group
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
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As seen in Figure 12; Ammonia has remained constants across all catchment sites during the assessing
period with the exception of Mud 4 which stretched significantly over the SEQ Water Guideline
trigger value. These high readings may be attributed to runoff from the agricultural practices further
upstream. Since the extension analysis began after the second sampling event, there are no previous
results for sampling events (12/8 – 7/10).
0
10
20
30
40
50
60
70
80
90
16-Sep 7-Oct
(NH
4)
-P
Pb
Month
Ammonia (NH4)
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
Figure 12: Ammonia (ppb) for the assessing period
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Figure 13: FRP (ppb) for the assessing period
As seen in Figure 13; FRB has dramatically increased across catchment sites during the assessing
period. During sampling event (16/9) the FRB concentration has increased significantly for Mud 5
and Mud 6 and is above the SEQ Guidelines while during sampling event (7/10) the FRB
concentration has increased significantly for Mud 1-4 and is also above the SEQ Guideline trigger
value.
0
10
20
30
40
50
60
70
80
90
100
12-Aug 25-Aug 16-Sep 7-Oct
FRP
-P
Pb
Month
Filterable Reactive Phophate (FRP)
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
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Figure 14: AHP (ppb) for the assessing period
As seen in Figure 14; AHP has shown fluctuation across the catchment sites during the assessing
period. In particular, during sampling event (16/9) there was a spike in the total nitrogen released after
undergoing hydrolysis. While during sampling event (7/10) with the exceptions of Mud 6 and Mud 2
showed a significance increase in bioavailable hydrolysable phosphates. Since the extension analysis
began after the second sampling event, there are no previous results for sampling events (16/9 – 7/10).
0
10
20
30
40
50
60
70
80
16-Sep 7-Oct
AH
P -
PP
b
Month
Acid Hydrolysed Phosphates (AHP)
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
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Figure 15: Chlorophyll for the assessing period
As seen in Figure 15; Chlorophyll has shown fluctuation across the catchment sites during the
assessing period. In particular, during sampling event (7/10) there was a spike in the concentration of
chlorophyll for Mud 1. A high concentration of chlorophyll as mentioned previously has been linked
to high biomass of phytoplankton.
Another observation for sampling events (16/9 – 7/10) showed that Mud 3 and Mud 4 also exhibited
reasonably high chlorophyll concentrations above the SEQ Water Guideline trigger value.
0
5
10
15
20
25
16-Sep 7-Oct
Ch
loro
ph
yll (
a) -
PP
b
Month
Chlorophyll (a) Concentration
MUD 1
MUD 2
MUD 3
MUD 4
MUD 5
MUD 6
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9.0 Discussion of Analysis:
9.1 Rainfall Parameter:
The water quality assessment was run over three months from August 25th - October 7th.
The objective of this assessment was to assess the current health and establish a baseline water quality
of the overall catchment using multiple qualitative and quantitative parameters.
Over the course of the assessment, fluctuations in the data was observed on multiple parameters due
to external factors including rainfall and seasonal variation. These external factors are important to
consider, accounting for as many variables as possible lowers the uncertainty associated with the
measurement. As mentioned before, rainfall can dramatically affect multiple parameters of a
catchment by introducing new pollutants and sediments which may lead to degradation of water
quality.
9.2 In-Situ Parameter Relationships:
Dissolved Oxygen and Temperature:
As previously stated, Dissolved Oxygen (DO) is inversely correlated to temperature – hence; as the
temperature of the catchment increases the DO in that catchment should consequentially decrease
accordingly. The data collected throughout this assessment also shows this trend; during sampling
(25/8) the DO saturation was very high for all the catchment sites. Whereas; towards the end of the
experiment - seasonal variation had caused all the catchment sites to increase in water temperature
(Figure 5). Which resulted in the gradual decline of DO saturation (%) (Figure 4).
Markus Race 2015 3508ENV
9.3 Laboratory Analysis Relationships:
FRP and Turbidity:
It was initially hypothesised that a greater concentration of TSS would directly correlate to an increase
in turbidity – this was later rejected. Instead it appeared that FRP was directly correlated to turbidity –
i.e. as the concentration of FRP increases the turbidity should increase.
The data shows collected shows this trend; during the sampling event (12/8) Mud 4 had a value of 25
ppb (Figure 13) and the turbidity for Mud 4 has a value of 7.5 NTUs. Then; towards the end of the
assessment – sampling event (7/10) Mud 4 has a value of greater than 100 ppb and higher turbidity
reading of 20 NTUs.
TSS and Rainfall:
During sampling event (12/8) TSS for Mud 5 is shown just below the SEQ Water Guideline trigger
value (Figure 9), while during sampling event (25/8) Mud 5 is shown to have a high TSS
concentration significantly different from the other sites during that sampling event (Figure 9).
It is hypothesised; that the recent rainfall washed particulate waste matter (sediment, dust or animal
faeces) into the catchment (25/8) and during a later assessment moment (16/9 – 7/10) was flushed
downstream reducing the TSS concentration to a normal level.
AHP and Chlorophyll:
During the sampling event (16/9) Chlorophyll for Mud 1 was shown to be 5ppb whereas; later during
the next sampling event (7/10) Chlorophyll for Mud 1 has increased by a factor of five yielding
approximately 25 ppb (Figure 15). As stated previously; chlorophyll can be a useful indicator for
detecting water quality because the chlorophyll pigment is stored in the tissues of phytoplankton.
Interestingly; during sampling event (16/9) AHP for Mud 1 was shown to be approximately 23ppb
and following a similar trend to chlorophyll yields an increase to 53ppb during the sampling event
(7/10). Therefore; it can be extrapolated that AHP can affect the amount of chlorophyll at each
catchment site.
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9.4 Cumulative Parameter Relationships:
NOXs:
Nitrous Oxides has shown a steady decrease across the sampling periods (12/8 – 7/10). A gradual
declining trend is most likely caused by two possibilities; sources producing these NOXs have been
less frequent or riparian vegetation is collecting the Nitrates and using them as a source of nutrients.
Either way, a decrease in NOXs being distributed in the catchment improves its water quality.
AHP:
AHP has shown a steady increase across the sampling periods (12/8 – 7/10). As mentioned
previously; the total phosphorus (TP) is a combination of reactive, unreactive (Inorganic) and organic
phosphorus. Hence; with the exception of Mud 2 and Mud 6 .The total concentration of phosphorus
has increased over the sampling period.
FRB and Turbidity:
FRB has shown a sharp increase across the sampling periods (12/8 – 7/10). As mentioned previously a
relationship has been identified between these two parameters. An increase of turbidity due to higher
concentrations of phosphorus could increase the risk of pathogens and algae that may cause
eutrophication and deplete the DO % saturation available to the aquatic organisms that survive off the
catchment.
Ammonia:
NH4 has remained relatively steady during the sampling period with the exception of Mud 4 whose
ammonium concentration has been excessively high. As is indicated by the ammonia Mud 4 is
alkaline and probably does not support a great deal of aquatic biodiversity.
Chlorophyll:
Chlorophyll has shown a strong increase particularly for Mud 1 and Mud 3. All the above parameters
can affect chlorophyll. Hence; these catchment sites have high nutrient runoff loads due to farm land
and septic tanks within the area. Therefore it is a logical conclusion that sites Mud 1 and Mud 3 are
the most susceptible to contamination and degradation of water quality.
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9.5 Previous Case Studies:
Griffith University - Mudgeeraba Catchment Study 2006: The objective of the assessment was to enable recommendations and sustainable
management plans for the catchment system (Robertson, et al., 2006).
Key Findings:
The ecological condition of the Mudgeeraba Creek Catchment was found to be good
based on the parameters of standard water quality assessing and riparian vegetation.
However; further downstream evidence of water quality degradation became evident
including; high concentrations of ammonia, chlorophyll – a, TSS and faecal coliforms
(Robertson, et al., 2006).
Griffith University - Water Quality Assessment for Mudgeeraba Catchment 2014:
The objective of the assessment was to determine the current water quality and establish
baseline conditions for the Mudgeeraba Catchment.
Key Findings:
High concentrations of FRP had been recorded at Mud 4 and it was established this site
exhibited primary production. High turbidity and TSS readings can also increase the
water temperature leading to the depletion of DO and ultimately anoxic catchments. The
NOS differentiation between catchments can be attributed to different land uses and
activities.
Comparisons with this assessment report:
Mudgeeraba Catchment Creek – Good Ecological Condition.
Water quality degradation became evident downstream including; high concentrations
of ammonia and medium concentrations of TSS and faecal coliforms.
High concentrations of FRP, turbidity and TSS had been recorded at Mud 4.
Markus Race 2015 3508ENV
10.0 Conclusion:
After conducting field work and experimental lab analysis on various water quality parameters over a
course of three months (August – October) the following conclusions can be drawn about the overall
health of the Mudgeeraba Catchment:
- The catchment itself is a complex network of various ecological, biophysical and biochemical
parameters with distinct Water Guideline trigger values for each division of the catchment (i.e.
upper, middle or lower catchment). This experimental methodology incorporated the SEQ Water
Guideline trigger values for the lower-stream (2009).
- Rainfall within the catchment appears to be a driving force for its current water quality, heavy
rainfalls for example can wash sediment, pollutants and general debris into the waste water
possibly resulting in a pollution event.
- The environmental impacts of solids suspended in the water column, the total nitrogen and
phosphorous available is all cumulative. For example a catchment with higher loads of nitrogen
and phosphorous will yield more chlorophyll accumulated with the biomass of marine surface
phytoplankton causing secondary impacts including eutrophication. It was evident that over the
duration of the catchment assessment and analysis sites Mud 1, Mud 2 and Mud 3 showed high
loads of nutrients due to natural processes (erosion and sedimentation) and anthropogenic
activities including agricultural and sewage treatment processes.
- The parameter assessing ammonia concentration also proved quite interesting; Mud 4 was shown
to be a highly inhospitable environment for minimal biodiversity. Due to its toxicological
properties Mud 4 is considered to be officially the most polluted and affected area of the entire
scoped catchment system.
- To summarise sites Mud 2, Mud 3 and especially Mud 4 should be continually monitored and
assessed for changes in water quality. These three locations along the catchment resulted in
breeches of the SEQ Water Quality Guideline trigger values however; further studies are required
for more accurate data on the Mudgeeraba Catchment system.
Markus Race 2015 3508ENV
11.0 References
Australian Government Department of Environment, 2015. National Water Quality Managment
Strategy. [Online]
Available at: http://www.environment.gov.au/water/quality/national-water-quality-management-
strategy
AIMS, 2014. [Online]
Available at: http://www.aims.gov.au/docs/research/water-quality/monitoring/chlorophyll-
monitoring.html
Allaby, M. & Park, C., 2013. A Dictionary of Environment and Conservation. s.l.:Oxford University
Press.
AmeriWest Water Services Inc., 2013. Polyphosphates Stability?. [Online]
Available at: http://www.ameriwestwater.com/faq/polyphosphates-stability
ASA Analytics, 2015. Phosphorus Analysis Classifications. [Online]
Available at: http://www.asaanalytics.com/total-phosphorous.php
Carserud, L., 1983. Dissolved and Suspended Heavy Metals in Stream Water. Ecological Bulletins, pp.
73-84.
CIty of Gold Coast, 2006. Mudgeeraba Creek, Clear Island Waters & Robina Lakes Catchment
Stormwater Management Plan. [Online]
Available at: http://www.goldcoast.qld.gov.au/environment/mudgeeraba-creek-clear-island-waters-
robina-lakes-catchment-stormwater-management-plan-3945.html
Dennison, W. C. et al., 1993. Assessing Water Quality with Submersed Aquatic Vegetation.
Bioscience, pp. 86-94.
Department of Ecology State of Washington, 2015. Water Quality Improvement Project Wenatchee
River Area: Dissolved Oxygen & pH. [Online]
Available at: http://www.ecy.wa.gov/programs/wq/tmdl/WenatcheeMulti/DOpH.html
[Accessed 10 2015].
Environmental Protection Agency, 2012. Ammonia Toxicity. [Online]
Available at: http://water.epa.gov/type/watersheds/archives/chap3.cfm
EPA, 2012. 5.11 Fecal Bacteria. [Online]
Available at: http://water.epa.gov/type/rsl/monitoring/vms511.cfm
EPA, 2012. What are total solids and why are they important?. [Online]
Available at: http://water.epa.gov/type/rsl/monitoring/vms58.cfm
Ferguson, C. M., Coote, B. G., Ashbolt, N. J. & Stevenson, L. M., 1996. Relationships between
indicators, pathogens and water quality in an estuarine system. Water Research, pp. 2045-2054.
Jenne, E. A., 1997. Trace element sorption by sediments and soils - soils and processes..
Jolley, L. W. & English, W. R., 2015. What is Fecal Coliform? Why is it Important?. [Online]
Available at:
http://www.clemson.edu/extension/natural_resources/water/publications/fecal_coliform.html
Markus Race 2015 3508ENV
Krauskopf, K. B., 1956. Factors controlling the concentration of thirteen rare metals in sea-water.
NSW Government Local Land Services, n.d. Water quality. [Online]
Available at: http://www.lls.nsw.gov.au/land-and-water/water/quality
NSW Government Office of Environment & Heritage, 2014. Water Quality. [Online]
Available at: http://www.environment.nsw.gov.au/water/waterqual.htm
Oram, P. G. (. M. B., 2014. Phosphates in the Environment. [Online]
Available at: http://www.water-research.net/index.php/phosphates
Ozcoasts, 2015. Chlorophyll a concentrations. [Online]
Available at: http://www.ozcoasts.gov.au/indicators/chlorophyll_a.jsp
Perlman, H., 2015. pH -- Water properties. [Online]
Available at: http://water.usgs.gov/edu/ph.html
Perlman, H., 2015. Turbidity. [Online]
Available at: http://water.usgs.gov/edu/turbidity.html
Portanger, C., Schmidt, L., Giddy, J. & Dawood, J., 2014. Water Quality Assessment and Investigation
for Mudgeeraba Catchment, s.l.: s.n.
Queensland Government, 2009. Queensland Water Quality Guidelines , Gold Coast: Queensland
Government.
Robertson, A. et al., 2006. Mudgeeraba & Worongary Creek Catchment Management Study, Gold
Coast: Griffith University.
United States Environmental Protection Agency, 2012. Water: Monitoring & Assessment. [Online]
Available at: http://water.epa.gov/type/rsl/monitoring/vms52.cfm
United States Environmental Protection Agency, 2012. What is conductivity and why is it important?.
[Online]
Available at: http://water.epa.gov/type/rsl/monitoring/vms59.cfm
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Appendix:
Sampling Sites:
Mudgeeraba Sampling Site 1 – Informally; Mud 1.
Mountainous:
Upstream; where the catchment flows through Austin-Ville, the catchment appears relatively
intact. Although a causeway is present alongside the river, anthropogenic disturbances are
minimal.
There is evidence of dense canopy riparian vegetation along the alluvial flats, no significant
foreign objects in catchment, and no signs of eutrophication or pollution.
Mudgeeraba 1:
Markus Race 2015 3508ENV
Mudgeeraba Sampling Site 2 – Informally; Mud 2.
Mountainous - Recreational:
Upstream; where the catchment flows through Austin-Ville, the catchment appears relatively
intact. Although a causeway is present alongside the river, anthropogenic disturbances are
minimal.
There is evidence of dense canopy riparian vegetation along the alluvial flats, no significant
foreign objects in catchment, and no signs of eutrophication or pollution.
Mudgeeraba 2:
Markus Race 2015 3508ENV
Mudgeeraba Sampling Site 3 – Informally; Mud 3.
Agricultural:
Midstream; further down the catchment, consequences of urbanisation become significant.
Agricultural practices and septic waste disposal are present. The water is quite stagnant and
there’s evidence of biofilm on the water surface (i.e. possible signs of eutrophication). It is
hypothesised that the concentration of phosphates and nitrates may higher in Mud 3.
Anthropogenic disturbance is high.
Riparian vegetation along the catchment has been fragmented due to residential infrastructure.
Mudgeeraba 3:
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Mudgeeraba Sampling Site 4 – Informally; Mud 4.
Semi-Suburban:
Midstream; further down the catchment, adjacent to Firth Park (Mudgeeraba)
urbanisation has become significant. Effluent waste from further upstream
has polluted the catchment. The water also appears quite stagnant and the
colour is dark brown (possibly due to erosion and sedimentation).
Anthropogenic disturbance is high.
Riparian mid-story and canopy riparian vegetation along the catchment has
been fragmented due to man-made parks, skate-parks and recreational sport
infrastructure,
Mudgeeraba 4:
Markus Race 2015 3508ENV
Mudgeeraba Sampling Site 5 – Informally; Mud 5.
Suburban:
Downstream; further down the catchment, at Robina urbanisation is significant. The
natural catchment no longer exists and had been replaced with an artificial creek. The
region is predominantly intended for residential and commercial purposes.
Anthropogenic disturbance is high.
Any riparian vegetation from the original catchment is non-existent and animals that
benefit from a suburban lifestyle including; ibis’, crows, magpies and swans are more
common.
Mudgeeraba 5:
Markus Race 2015 3508ENV
Mudgeeraba Sampling Site 6 – Informally; Mud 6.
Suburban:
Downstream; further down the catchment, at Clear Island Waters (Robina)
urbanisation is significant. The artificial catchment appears to contain a greater
density of canopy riparian vegetation along the river.
On the opposite side of the bridge, there is evidence of housing infrastructure
indicating residential development. Anthropogenic disturbance is high. There
may also be pollution present in the catchment.
Mudgeeraba 6:
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SEQ Water Quality Guideline Trigger Values: