UNIVERSITY OF SOUTH AFRICA
College of Science, Engineering and Technology
⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄⋄
EEN3700: Water Engineering
Assignment 01 — Semester 1, 2026
⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄⋄
EEN3700
Module Code:
Water Engineering
Module Name:
Assignment 01
Assignment:
2026
Due Date:
30
Total Marks:
Submitted in partial fulfilment of the requirements for EEN3700 — UNISA 2026
,UNISA | EEN3700 Water Engineering Assignment 01
Question 2.4.1: Water Quality Management Planning
A municipal engineering department is developing a long-term water quality management plan
for a growing urban area. To make informed decisions, engineers must follow systematic steps.
2.4.1.1 Explain What is Meant by Water Quality
Question: Explain what is meant by water quality.
Water quality refers to the physical, chemical, biological, and radiological characteristics of
water, measured against established standards that determine its suitability for a specific
intended use (Tchobanoglous, Burton and Stensel, 2014). Therefore, water that is considered
high quality for drinking purposes must meet stringent limits on pathogens, turbidity, and
chemical contaminants, whereas water used for irrigation may be assessed against different
criteria such as salinity and sodium adsorption ratio.
Water quality is not a single fixed state; it is defined relative to its intended use. The South
African National Standard SANS 241 specifies the physical, chemical, and microbiological
limits for potable water, implying that compliance with these parameters constitutes accept-
able drinking water quality in the South African context (South African Bureau of Standards,
2015).
Key Distinction
Use-based definition: Water that is “safe” for domestic consumption is assessed
differently from water used for agricultural irrigation or industrial cooling. Quality
parameters, therefore, shift depending on the end use of the water resource.
2.4.1.2 Stages Involved in Water Quality Management
Question: List the stages involved in water quality management that the engineers should
follow.
Water quality management is a structured, iterative process. The following stages are followed
by engineers (Crittenden et al., 2012):
1. Problem Identification and Goal Setting: Engineers identify the current state of
the water resource, define the intended use, and set measurable water quality objectives
Page 2 of 12
,UNISA | EEN3700 Water Engineering Assignment 01
aligned with regulatory standards such as SANS 241 or the National Water Act 36 of
1998.
2. Water Quality Monitoring and Data Collection: Systematic sampling and labo-
ratory analysis are conducted to establish baseline conditions. Parameters monitored in-
clude pH, turbidity, dissolved oxygen, faecal coliforms, nitrates, and heavy metals, among
others.
3. Data Analysis and Interpretation: Collected data are statistically analysed to identify
trends, seasonal variations, and pollution sources. This stage determines whether water
quality complies with the set objectives.
4. Source Identification and Risk Assessment: Point sources (such as industrial effluent
pipes) and non-point sources (such as agricultural runoff) of contamination are identified.
A risk assessment determines the likelihood and consequence of health or environmental
impacts.
5. Development and Implementation of Control Measures: Engineers design and im-
plement appropriate treatment technologies, source protection measures, and engineering
controls, such as coagulation-flocculation, chlorination, or constructed wetlands.
6. Evaluation and Review: The effectiveness of implemented measures is evaluated against
the original quality objectives. Feedback from this stage informs adjustments to the man-
agement plan, making the process cyclical.
1. Problem Identifica-
tion & Goal Setting
2. Monitoring & Data Collection
3. Data Analysis & Interpretation
Feedback loop
4. Source Identifica-
tion & Risk Assessment
5. Implementation
of Control Measures
6. Evaluation & Review
Figure 1: Stages of Water Quality Management (adapted from Crittenden et al., 2012)
Page 3 of 12
,UNISA | EEN3700 Water Engineering Assignment 01
2.4.1.3 Importance of Monitoring and Interpreting Water Quality Data
Question: Explain the importance of monitoring and interpreting water quality data.
Monitoring and interpreting water quality data forms the scientific foundation upon which
all engineering decisions in a water quality management plan are based (Gray, 2010). With-
out continuous and reliable data, engineers cannot determine whether a water source is safe,
identify emerging pollution threats, or evaluate the effectiveness of implemented treatment
solutions.
Public Health Protection: Monitoring detects pathogenic organisms such as Escherichia
coli, Cryptosporidium, and chemical contaminants before they reach consumers. Early detec-
tion prevents waterborne disease outbreaks. The 2000 Walkerton, Canada E. coli contamina-
tion, which killed seven people, was partly attributed to inadequate monitoring (Hrudey et al.,
2003).
Regulatory Compliance: South African municipalities are legally obligated under the Na-
tional Water Act 36 of 1998 and the Water Services Act 108 of 1997 to supply water meeting
SANS 241 standards. Regular monitoring provides the documented evidence needed to demon-
strate compliance with these legal requirements.
Trend Detection and Early Warning: Interpreted data reveal long-term trends such as in-
creasing nitrate concentrations from agricultural runoff or rising turbidity during wet seasons.
These trends allow engineers to take preventive action before water quality deteriorates to a
critical level (Tchobanoglous et al., 2014).
Operational Decision-Making: Treatment plant operators adjust coagulant dosages, dis-
infectant concentrations, and filtration rates based on real-time water quality data. Incorrect
interpretation of monitoring results can lead to under-treatment, which creates a public health
risk, or over-treatment, which increases operational costs and may produce harmful disinfec-
tion by-products such as trihalomethanes (Gray, 2010).
Environmental Impact Assessment: Monitoring of receiving water bodies allows engineers
to assess the cumulative environmental impact of treated effluent discharges. Interpretation
of dissolved oxygen, biological oxygen demand (BOD), and nutrient levels determines whether
the aquatic ecosystem is being degraded.
Infrastructure Planning: Long-term data records inform capital investment decisions. A
municipality recording increasing population-driven demand and declining raw water quality
Page 4 of 12
, UNISA | EEN3700 Water Engineering Assignment 01
can use this evidence to motivate for new treatment infrastructure or augmentation schemes.
Implementation Insight
South African Context: The Blue Drop and Green Drop certification programmes,
administered by the Department of Water and Sanitation, require municipalities to
submit continuous water quality monitoring records. These programmes illustrate how
data interpretation directly translates into service delivery accountability in South
Africa.
Quality Assurance
Monitoring without proper interpretation is ineffective. Raw data must be contextu-
alised against applicable standards, seasonal baselines, and trend lines before sound
engineering conclusions can be drawn.
Page 5 of 12
College of Science, Engineering and Technology
⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄⋄
EEN3700: Water Engineering
Assignment 01 — Semester 1, 2026
⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄ ⋄⋄
EEN3700
Module Code:
Water Engineering
Module Name:
Assignment 01
Assignment:
2026
Due Date:
30
Total Marks:
Submitted in partial fulfilment of the requirements for EEN3700 — UNISA 2026
,UNISA | EEN3700 Water Engineering Assignment 01
Question 2.4.1: Water Quality Management Planning
A municipal engineering department is developing a long-term water quality management plan
for a growing urban area. To make informed decisions, engineers must follow systematic steps.
2.4.1.1 Explain What is Meant by Water Quality
Question: Explain what is meant by water quality.
Water quality refers to the physical, chemical, biological, and radiological characteristics of
water, measured against established standards that determine its suitability for a specific
intended use (Tchobanoglous, Burton and Stensel, 2014). Therefore, water that is considered
high quality for drinking purposes must meet stringent limits on pathogens, turbidity, and
chemical contaminants, whereas water used for irrigation may be assessed against different
criteria such as salinity and sodium adsorption ratio.
Water quality is not a single fixed state; it is defined relative to its intended use. The South
African National Standard SANS 241 specifies the physical, chemical, and microbiological
limits for potable water, implying that compliance with these parameters constitutes accept-
able drinking water quality in the South African context (South African Bureau of Standards,
2015).
Key Distinction
Use-based definition: Water that is “safe” for domestic consumption is assessed
differently from water used for agricultural irrigation or industrial cooling. Quality
parameters, therefore, shift depending on the end use of the water resource.
2.4.1.2 Stages Involved in Water Quality Management
Question: List the stages involved in water quality management that the engineers should
follow.
Water quality management is a structured, iterative process. The following stages are followed
by engineers (Crittenden et al., 2012):
1. Problem Identification and Goal Setting: Engineers identify the current state of
the water resource, define the intended use, and set measurable water quality objectives
Page 2 of 12
,UNISA | EEN3700 Water Engineering Assignment 01
aligned with regulatory standards such as SANS 241 or the National Water Act 36 of
1998.
2. Water Quality Monitoring and Data Collection: Systematic sampling and labo-
ratory analysis are conducted to establish baseline conditions. Parameters monitored in-
clude pH, turbidity, dissolved oxygen, faecal coliforms, nitrates, and heavy metals, among
others.
3. Data Analysis and Interpretation: Collected data are statistically analysed to identify
trends, seasonal variations, and pollution sources. This stage determines whether water
quality complies with the set objectives.
4. Source Identification and Risk Assessment: Point sources (such as industrial effluent
pipes) and non-point sources (such as agricultural runoff) of contamination are identified.
A risk assessment determines the likelihood and consequence of health or environmental
impacts.
5. Development and Implementation of Control Measures: Engineers design and im-
plement appropriate treatment technologies, source protection measures, and engineering
controls, such as coagulation-flocculation, chlorination, or constructed wetlands.
6. Evaluation and Review: The effectiveness of implemented measures is evaluated against
the original quality objectives. Feedback from this stage informs adjustments to the man-
agement plan, making the process cyclical.
1. Problem Identifica-
tion & Goal Setting
2. Monitoring & Data Collection
3. Data Analysis & Interpretation
Feedback loop
4. Source Identifica-
tion & Risk Assessment
5. Implementation
of Control Measures
6. Evaluation & Review
Figure 1: Stages of Water Quality Management (adapted from Crittenden et al., 2012)
Page 3 of 12
,UNISA | EEN3700 Water Engineering Assignment 01
2.4.1.3 Importance of Monitoring and Interpreting Water Quality Data
Question: Explain the importance of monitoring and interpreting water quality data.
Monitoring and interpreting water quality data forms the scientific foundation upon which
all engineering decisions in a water quality management plan are based (Gray, 2010). With-
out continuous and reliable data, engineers cannot determine whether a water source is safe,
identify emerging pollution threats, or evaluate the effectiveness of implemented treatment
solutions.
Public Health Protection: Monitoring detects pathogenic organisms such as Escherichia
coli, Cryptosporidium, and chemical contaminants before they reach consumers. Early detec-
tion prevents waterborne disease outbreaks. The 2000 Walkerton, Canada E. coli contamina-
tion, which killed seven people, was partly attributed to inadequate monitoring (Hrudey et al.,
2003).
Regulatory Compliance: South African municipalities are legally obligated under the Na-
tional Water Act 36 of 1998 and the Water Services Act 108 of 1997 to supply water meeting
SANS 241 standards. Regular monitoring provides the documented evidence needed to demon-
strate compliance with these legal requirements.
Trend Detection and Early Warning: Interpreted data reveal long-term trends such as in-
creasing nitrate concentrations from agricultural runoff or rising turbidity during wet seasons.
These trends allow engineers to take preventive action before water quality deteriorates to a
critical level (Tchobanoglous et al., 2014).
Operational Decision-Making: Treatment plant operators adjust coagulant dosages, dis-
infectant concentrations, and filtration rates based on real-time water quality data. Incorrect
interpretation of monitoring results can lead to under-treatment, which creates a public health
risk, or over-treatment, which increases operational costs and may produce harmful disinfec-
tion by-products such as trihalomethanes (Gray, 2010).
Environmental Impact Assessment: Monitoring of receiving water bodies allows engineers
to assess the cumulative environmental impact of treated effluent discharges. Interpretation
of dissolved oxygen, biological oxygen demand (BOD), and nutrient levels determines whether
the aquatic ecosystem is being degraded.
Infrastructure Planning: Long-term data records inform capital investment decisions. A
municipality recording increasing population-driven demand and declining raw water quality
Page 4 of 12
, UNISA | EEN3700 Water Engineering Assignment 01
can use this evidence to motivate for new treatment infrastructure or augmentation schemes.
Implementation Insight
South African Context: The Blue Drop and Green Drop certification programmes,
administered by the Department of Water and Sanitation, require municipalities to
submit continuous water quality monitoring records. These programmes illustrate how
data interpretation directly translates into service delivery accountability in South
Africa.
Quality Assurance
Monitoring without proper interpretation is ineffective. Raw data must be contextu-
alised against applicable standards, seasonal baselines, and trend lines before sound
engineering conclusions can be drawn.
Page 5 of 12
