Research Article | | Peer-Reviewed

Drinking Water Quality Assessment in Groundwater-Fed Supply Systems: A Case Study of Female Residential Halls at Khulna University, Bangladesh

Received: 14 November 2025     Accepted: 4 December 2025     Published: 30 December 2025
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Abstract

Securing safe drinking water remains a pressing public health challenge in Bangladesh, where groundwater quality is increasingly undermined by a combination of natural factors and human-induced activities. This study examined the drinking water quality of two female residential halls such as Bangamata Begum Fazilatunnessa Mujib (BBFM) Hall and Aparajita Hall (AP) at Khulna University over a six-month period. An integrated approach was applied, combining physico-chemical and microbial analyses with multivariate and risk assessment methods such as Pearson’s correlation, Water Quality Index (WQI), Principal Component Analysis (PCA), Pollution Index of Groundwater (PIG), Quantitative Microbial Risk Assessment (QMRA) and Chemical Health Risk Assessment. Physical analyses indicated neutral to slightly alkaline water, with moderate electrical conductivity (EC) and total dissolved solids (TDS) reflecting natural geogenic influences. Chemical evaluation revealed a sodium-chloride-bicarbonate-dominated profile, while nitrate, phosphate, and sulfate remained within safe limits, though salinity indicators highlight potential long-term risks. Microbiological assessment detected total coliform (TC), fecal coliform (FC) and Escherichia coli (E. coli ) above World Health Organization (WHO) thresholds, indicating fecal contamination and immediate public health concerns. PCA and correlation analyses identified salinity, carbonate buffering, and phosphorus enrichment as key hydrochemical drivers, whereas the WQI ranged from 42.66 to 51.71, classifying most samples (except BBFM 4) as good. The PIG values (<1.0) indicated insignificant pollution. QMRA estimated annual infection probabilities of 12% to 44%, far above the WHO benchmark (≤10⁻⁴), underscoring cumulative exposure risks. Chemical health risk assessment confirmed no significant non-carcinogenic threat from nitrate or sodium intake. These results indicate that although the water is largely safe from a chemical standpoint, it carries considerable microbial health risks. Based on these findings, a comprehensive management approach is advised, incorporating immediate actions, short to mid-term interventions, and long-term infrastructural improvements, alongside the implementation of a Water Safety Plan (WSP) to ensure safe and sustainable drinking water in university residential facilities.

Published in Journal of Water Resources and Ocean Science (Volume 14, Issue 6)
DOI 10.11648/j.wros.20251406.16
Page(s) 229-247
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Drinking Water Quality, Microbial Contamination, Water Quality Index (WQI), Pollution Index of Groundwater (PIG), Quantitative Microbial Risk Assessment (QMRA), Khulna University

1. Introduction
Access to safe drinking water is a fundamental human need and a cornerstone of public health . Yet, billions of people across the globe continue to struggle to secure clean and reliable water sources . Both groundwater and surface water remain indispensable for domestic, agricultural, and industrial purposes, but their availability is increasingly strained by climate variability, geogenic processes, and human activities . Among these sources, groundwater constitutes a critical lifeline, providing drinking and domestic water to nearly one-third of the world’s population . However, global water security is under severe threat. Recent global evaluations indicate that water scarcity impacts a significantly greater proportion of the global population than previously assessed. About 4.0 billion people, or two-thirds of the world's population, face severe water scarcity for at least one month each year . Besides about 2.3 billion people now live in countries where water is scarce . Alarmingly, 21 of the world’s 37 largest aquifers have already crossed sustainability thresholds and projections suggest that by 2025, absolute water scarcity will extend across entire regions . This trajectory underlines the urgency of safe water management as one of the defining challenges of the twenty-first century .
In developing nations like Bangladesh, the water crisis is particularly acute . As one of the most densely populated countries in the world, Bangladesh faces a dual burden of scarcity and contamination . Natural geochemical processes are affected by rapid urbanization, industrial growth, and intensive farming and livestock due to a lack of quality water . This duality leaves millions vulnerable to microbial pathogens and chemical contaminants . The global statistics are staggering: nearly 1.8 billion people consume fecally contaminated water, leading to almost 2 million diarrheal deaths annually . Unsafe water is implicated in approximately 80% of infections in developing countries, accounting for one-third of all deaths, and remains one of the leading causes of disease outbreaks . Bangladesh presents a unique case where groundwater and surface water are tightly interwoven within seasonal hydrological cycles . However, unsustainable irrigation practices have disrupted this balance, depleting groundwater while simultaneously drying up surface water bodies . In coastal regions such as Khulna, aquifers face additional stress from marine intrusion, leading to rising salinity and altered geochemical properties . Although rainwater harvesting has been proposed as an alternative, its seasonal limitations and infrastructural challenges have restricted its feasibility at scale .
Within urban Bangladesh, groundwater remains the dominant drinking water source . In Khulna, the country’s third-largest city, the municipal water system meets only about 20% of demand, leaving the majority reliant on private and institutional tube wells . Water safety remains a critical concern, as research consistently reveals systemic inadequacies: while elevated bicarbonates, nitrates, and salts typically stem from natural or agricultural inputs, microbial contaminants such as coliforms and Escherichia coli point to deficiencies in sanitation, storage, and distribution practices . These overlapping risks emphasize the importance of integrated water quality assessments.
To capture such complexity, researchers increasingly employ composite indices and advanced analytical tools. The Water Quality Index (WQI) and the Pollution Index of Groundwater (PIG) provide composite measures of chemical safety, while multivariate approaches such as Principal Component Analysis (PCA) help disentangle natural from anthropogenic drivers of contamination. Similarly, Quantitative Microbial Risk Assessment (QMRA) links microbial indicators with probabilistic health outcomes, offering a risk-based perspective on water safety . In South Asia, PCA has been particularly effective in distinguishing geogenic from human-induced contamination , while QMRA is gaining recognition globally as a benchmark for microbial risk evaluation . In Bangladesh, research has largely focused on municipal water supplies, rural households, or urban slums, while institutional settings such as university residential halls remain underexplored. This oversight is significant as residential halls accommodate large populations of young adults who share common water sources, can escalate into widespread illness. Such outbreaks not only endanger student health but also disrupt academic performance and institutional functioning. Despite this progress, critical knowledge gaps remain in this field.
This research seeks to address that gap by focusing on Khulna University, one of the country’s leading public institutions. By conducting a comprehensive assessment of drinking water in student residential halls, the study integrates physico-chemical and microbial testing with multivariate statistical methods and QMRA. The objectives are fourfold: (1) to evaluate water quality against World Health Organization (WHO) and Bangladesh standards, (2) to identify microbial contamination, with a focus on coliforms and E. coli as indicators of fecal pollution, (3) to trace contamination pathways using PCA and related approaches, and (4) to assess probabilistic health risks through QMRA. By adopting this integrated approach, the study contributes both locally and globally. For Khulna University, the findings will provide actionable insights for ensuring safe drinking water in high-density residential environments. Nationally, the research highlights the dimension of water, sanitation, and hygiene (WASH) planning: the safety of water in educational institutions.
2. Methodology
2.1. Study Area
Khulna University, located in Gollamari, Khulna, Bangladesh (22.802°N, 89.533°E), sits along Sher-E-Bangla Road and covers 106 acres of land beside the scenic Mayur River. The campus lies only 3.4 km from the city center, offering both a peaceful academic environment and convenient access to urban amenities. Within the campus, five residential halls, three for males and two for females, provide accommodation for approximately 2,500 students. Among the female dormitories, Aparajita (AP) Hall houses around 678 students, while Bangamata Begum Fazilatunnessa Mujib (BBFM) Hall accommodates 492. For this study, the two female residential halls (AP and BBFM) were selected as the sampling sites to assess drinking water quality. These halls were chosen to represent the female student living environment, and the results reflect the conditions in these specific halls. Water supply in these dormitories plays a critical role in ensuring the health and well-being of residents. The location of the study area is illustrated in Figure 1.
2.2. Sampling Procedure
To evaluate drinking water quality, samples were systematically collected from the reservoirs of BBFM and AP Halls. Each hall has its own submersible tube wells and main storage tanks, and groundwater is first pumped into the main tank. It is then distributed to reservoirs on each floor, which may result in minor variations in water quality between floors. Sampling was conducted fortnightly, in the morning, throughout the study period to capture temporal variations. During each session, nine water samples were collected using pre-cleaned 500 mL high-grade plastic bottles, which were carefully labeled to ensure accurate identification.
Figure 1. Location of the female students' hall, Khulna University.
To reduce the risk of external contamination, each bottle was rinsed three to four times with reservoir water before sampling. For microbiological testing, sterilized (autoclaved) bottles were employed, and analyses were carried out immediately after collection to prevent alterations in microbial populations. All procedures for collection, preservation, and transportation followed the guidelines of the Standard Methods for the Examination of Water and Wastewater . After collection, the samples were transported under controlled conditions to the Environmental Science Discipline Laboratory at Khulna University, where both physico-chemical and microbial analyses were performed (Table 1).
Table 1. Physico-chemical and microbial parameters with analytical methods and instruments.

Parameter Type

Parameters

Analytical Methods

Instrument/Technique

Physico-chemical

pH

Electrometric

pH meter (M106MAX, Milwaukee)

EC, TDS

Electrometric

EC/TDS meter (AD 332, Adwa)

Turbidity

Nephelometric

Turbidity meter

DO

Electrometric

DO meter

Ca²⁺, Mg²⁺

Titrimetric (EDTA method)

Manual titration

Cl⁻, HCO₃⁻

Titrimetric

Manual titration

SO₄²⁻, NO₃⁻, PO₄³⁻

Turbidimetric

UV-Visible spectrophotometer

Na⁺, K⁺

Flame photometric

Flame photometer

Microbial

Total coliform (TC)

Membrane Filtration

Autoclaved MF unit

Fecal coliform (FC)

Membrane Filtration

Autoclaved MF unit

E. coli

Membrane Filtration

Autoclaved MF unit

2.3. Integrated Indices and Statistical Tools for Water Quality Assessment
Table 2 represents five complementary tools that together provide a well-rounded picture of drinking water safety. The Water Quality Index (WQI) condenses multiple physico-chemical parameters into a single score, classifying water from excellent to unfit for consumption . The Pollution Index of Groundwater (PIG) goes a step further by quantifying contamination from both natural and human-induced sources, offering clear thresholds from insignificant to very high pollution . Principal Component Analysis (PCA) helps untangle complex datasets, pinpointing the major pollution drivers such as agricultural runoff or geogenic influences . Quantitative Microbial Risk Assessment (QMRA) translates microbial data into tangible health risks, estimating infection probabilities from E. coli against WHO’s safety benchmark of ≤10⁻⁴ annual risk . Lastly, the Chemical Health Risk Assessment, focusing on non-carcinogenic risks evaluates the potential health implications of nitrate (NO₃⁻) and sodium (Na⁺) intake through drinking water . Together, these approaches provide a comprehensive framework for understanding and safeguarding water quality.
Table 2. Indices and statistical tools applied in the study.

Index/Analysis

Formula/Model

Purpose

Classification/Threshold

Water Quality Index (WQI)

i) WQI = n=1nwnQnn=1nwn

ii) Qn = [(vn-vi)(Sn-vi)]×100

iii) Wn = K/ Sn

iv) K = 11Sn.

Composite evaluation of chemical safety

Excellent (0-25); Good (26-50); Poor (51-75); Very Poor (76-100); Unfit (>100)

Pollution Index of Groundwater (PIG)

i) Wp = Rw/∑Rw

ii) Sc = C/Ds

iii) Ow= Wp× Sc

iv) PIG = ∑Ow

Assess geogenic and anthropogenic pollution

Insignificant (<1); Low (1-1.5); Moderate (1.5-2); High (2-2.5); Very high (>2.5)

Principal Component Analysis (PCA)

Eigenvalue decomposition of the correlation matrix

Identify dominant pollution sources

Factors with eigenvalue >1 considered significant

Quantitative Microbial Risk Assessment (QMRA)

i) d=C×V×fp

ii)Pinf=1-(1+dN502 1α-1)-α

iii) Pannual=1-(1-Pinf)365

Estimate microbial infection risk from E. coli

WHO benchmark: ≤10⁻⁴ annual risk

Chemical Health-Risk Assessment

i) CDI= (CN×IR)/BW

ii) HQ=CDI/RfD

iii) Na intake (mg/day) = Na (mg/L) ×IR

Evaluate potential health risks from for nitrate (NO₃⁻), and sodium (Na⁺) intake

The WHO guideline for dietary sodium is <2,000 mg/day for adults. HQ < 1 indicates no significant health risk

3. Results and Discussion
3.1. Physical Attributes
Table 3 presents the physical properties of water samples collected from BBFM and AP Halls. The pH results indicate that water in both halls was neutral to slightly alkaline. BBFM Hall showed values between 7.81 and 8.07 with mean of 7.96, while AP Hall ranged from 7.79 to 7.86 (mean 7.83). Both lie well within the WHO-recommended limit of 6.5-8.5 . The marginally higher pH at BBFM suggests stronger carbonate buffering, a common feature of groundwater aquifers. Similar findings of mildly alkaline water, driven by bicarbonate dominance, have been reported in Bangladesh and elsewhere in South Asia , emphasizing regional consistency. Electrical conductivity exhibited slight but notable hall-to-hall variation. BBFM Hall recorded higher EC, varied from 868.77-876.32 µS/cm with mean value of 873.48 µS/cm compared to AP Hall (820.33-825.35 µS/cm; mean 823.56 µS/cm). Elevated EC indicates higher ionic strength and dissolved mineral load, likely influenced by aquifer geochemistry or soil leaching. Although both remain within acceptable drinking water thresholds , the relatively higher EC at BBFM mirrors patterns documented in coastal aquifers, where salinity intrusion and lithological differences shape water chemistry . Consistent with EC, TDS levels were also slightly higher in BBFM (mean 410.53 mg/L) than in AP (mean 386.22 mg/L). Both, however, remain safely below the WHO guideline of 500 mg/L.
Table 3. Physical attributes of collected water samples, Khulna University.

Halls

Sample ID

pH

EC

TDS

DO

Turbidity

Color

Unit

-

µs/cm

mg/L

NTU

-

BBFM

Hall

BBFM1*

8.07

876.32

410.33

3.12

1.3

Colourless

BBFM2

7.94

874.67

409.33

3.03

0.93

BBFM3

7.95

874.97

411.33

3.21

0.88

BBFM4

7.98

868.77

411.50

4.82

1.25

BBFM5

7.99

874.25

410.50

2.63

0.98

BBFM6

7.81

871.92

410.17

3.72

1.03

Mean

7.96

873.48

410.53

3.42

1.06

-

Std.

0.08

2.72

0.80

0.77

0.17

-

Max

8.07

876.32

411.50

4.82

1.3

-

Min

7.81

868.77

409.33

2.63

0.88

-

AP Hall

AP1

7.79

820.33

384.83

2.90

0.93

Colourless

AP2

7.83

825.35

387.50

3.51

1.5

AP3

7.86

825.00

386.33

3.21

0.83

Mean

7.83

823.56

386.22

3.21

1.09

-

Std.

0.04

2.80

1.34

0.31

0.36

-

Max

7.86

825.35

387.50

3.51

1.5

-

Min

7.79

820.33

384.83

2.90

0.83

-

*This represents the average of all samples collected fortnightly over a six-month period of data analysis
The strong correlation between EC and TDS confirms that ionic strength drives these differences. Such moderate TDS values are typical in Bangladeshi groundwater, usually reflecting natural mineralization rather than pollution . Importantly, TDS levels below 500 mg/L not only meet safety standards but also ensure palatability . Dissolved Oxygen (DO) values range from 2.63 to 4.82 mg/L in BBFM Hall and 2.90 to 3.51 mg/L in AP Hall, reflecting low oxygen levels likely due to limited aeration or organic matter presence. Turbidity remains low in all samples (0.83-1.5 NTU), well within the WHO limit of 5 NTU, indicating good clarity. All samples were reported as colourless, confirming the absence of visible contamination. The minor variations in water quality observed between BBFM and AP Halls, and among reservoirs on different floors, can be attributed to the water distribution system. Differences in storage duration, water stagnation, and interactions with pipes and tanks can cause slight differences in pH, EC, TDS, and other parameters across floors, even when the source water originates from the same aquifer. To conclude, the water in both halls satisfies key standards and appears suitable for consumption, though the low DO levels call for regular monitoring.
3.2. Chemical Attributes
The chemical analysis of BBFM and AP Hall water samples shows both commonalities and site-specific differences as shown in Table 4. Sodium (Na⁺) levels were relatively high (157.02 mg/L in BBFM; 151.53 mg/L in AP). Though still below the WHO guideline of 200 mg/L, they suggest salinity influence that could worsen over time. Chloride (Cl⁻) concentrations followed a similar trend (164.67 mg/L in BBFM; 141.94 mg/L in AP), remaining under the 250 mg/L limit but close enough to indicate a potential salinization risk. This Na⁺-Cl⁻ dominance reflects saline intrusion processes widely reported in coastal Bangladesh . Calcium (Ca²⁺) and magnesium (Mg²⁺) were within safe limits, contributing to hardness without exceeding WHO standards. BBFM showed greater Ca²⁺ variability (42.81-64.77 mg/L), likely driven by localized carbonate dissolution.
Table 4. Chemical attributes of collected water samples, Khulna University.

Halls

Sample ID

Ca2+

Mg2+

Na+

k+

Cl-

HCO3-

NO3-

PO43-

SO42-

Unit

mg/L

BBFM

Hall

BBFM1*

47.72

21.30

150.87

5.8

156.37

555.1

0.618

0.0162

3.34

BBFM2

50.99

23.52

150.58

5.38

177.42

500.2

0.715

0.0164

3.19

BBFM3

64.77

21.80

169.70

3.15

172.45

506.3

0.913

0.0166

3.41

BBFM4

46.14

20.53

160.94

6.45

177.37

524.6

0.762

0.0160

3.27

BBFM5

48.13

15.95

169.93

4.75

161.21

518.5

0.745

0.0174

3.60

BBFM6

42.81

22.27

140.12

3.53

143.21

481.9

0.813

0.0184

3.56

Mean

50.09

20.89

157.02

4.84

164.67

514.43

0.761

0.0168

3.39

Std.

7.67

2.62

11.90

1.30

13.61

24.90

0.099

0.0009

0.16

Max

64.77

23.52

169.93

6.45

177.42

555.1

0.913

0.0184

3.60

Min

42.81

15.95

150.58

3.15

143.21

481.9

0.618

0.0160

3.19

AP Hall

AP1

57.29

21.53

132.90

4.77

154.65

469.7

0.603

0.0154

3.97

AP2

35.39

22.08

168.39

3.57

130.34

475.8

0.480

0.0168

3.81

AP3

38.03

23.37

153.29

5.29

140.83

488

0.445

0.0171

3.55

Mean

43.57

22.33

151.53

4.54

141.94

477.83

0.510

0.0164

3.77

Std.

11.95

0.95

17.81

0.88

12.20

9.32

0.083

0.0009

0.21

Max

57.29

23.37

168.39

5.29

154.65

488

0.603

0.0171

3.97

Min

35.39

21.53

132.90

3.57

130.34

469.7

0.445

0.0154

3.55

*This represents the average of all samples collected fortnightly over a six-month period of data analysis
Elevated bicarbonate (HCO₃⁻) levels in both halls (514.43 mg/L in BBFM; 477.83 mg/L in AP) further support carbonate weathering, consistent with South Asian aquifer studies . Nitrate (NO₃⁻) concentrations were low (0.761 mg/L in BBFM; 0.510 mg/L in AP), far below the WHO limit of 50 mg/L, indicating minimal agricultural or sewage inputs. Similarly, phosphate (PO₄³⁻) levels were negligible, and sulfate (SO₄²⁻) remained low (3.39-3.77 mg/L), well within the 500 mg/L guideline. The elevated levels of some chemical attributes are most likely geogenic, resulting from carbonate dissolution in aquifer rocks, as documented in coastal Bangladesh and India . The slight variations in certain chemical parameters between BBFM and AP Halls, such as Na⁺, Cl⁻, and Ca²⁺, can be partially attributed to the independent water distribution systems of each hall.
3.3. Microbiological Parameters
In BBFM Hall, Total Coliform (TC) levels ranged from 72 to 112 CFU/100 mL while AP Hall had slightly lower and more variable TC values, ranging from 60 to 102 CFU/100 mL. Both halls exceed the WHO guideline of 0 CFU/100ml for drinking water, indicating potential contamination from environmental sources or issues within the water distribution system (Figure 2). Fecal Coliforms, which serve as indicators of potential fecal contamination, were found in slightly higher concentrations in BBFM Hall compared to AP Hall. In BBFM Hall, FC levels ranged from 27 to 38 CFU/100 ml and in contrast, AP Hall showed a narrower range of 26 to 30 CFU/100 mL.
Figure 2. Microbial parameters of water from two hall along with WHO standard.
The presence of fecal coliforms confirms possible fecal contamination, posing significant health risks and warranting immediate remedial action. E. coli, the most direct indicator of fecal pollution and potential pathogens, was present in all samples from both halls, violating the WHO standard for drinking water (which requires 0 CFU/100 mL). BBFM Hall had higher E. coli values, ranging from 3 to 13 CFU/100 mL. AP Hall showed lower and more consistent E. coli levels, ranging from 4 to 6 CFU/100 mL. These results indicate a potential health risk if the water is consumed untreated. Differences in microbial counts between halls and among floor reservoirs are likely due to the water distribution and storage system. Factors such as storage duration, stagnation, tank maintenance, pipe interactions, and handling practices can introduce or amplify contamination, including E. coli and fecal coliforms. To reduce these risks, regular inspection and disinfection of storage tanks and pipelines, as well as chlorination or filtration before consumption, are recommended .
3.4. Pearson’s Correlation
Pearson’s correlation matrix, shown in Table 5, reveals important interdependencies among physicochemical parameters, offering perceptions into the hydrochemical processes shaping water quality in the study area. EC and TDS showed a very strong positive correlation (r = 0.993), confirming their close relationship as indicators of ionic strength and salinity. This strong linkage aligns with other hydrochemical studies in Bangladesh and South Asia, where EC and TDS are widely recognized as reliable proxies for salinity stress . The finding is particularly significant for coastal Bangladesh, where salinity intrusion driven by climate change and upstream water diversion, remains a critical challenge to safe drinking water . pH exhibited a strong correlation with bicarbonate (r = 0.971) and moderate associations with sodium (r = 0.451) and chloride (r = 0.585). These associations indicate the influence of carbonate buffering and saline intrusion on groundwater alkalinity, consistent with previous studies that highlight the dominant role of bicarbonate in stabilizing aquifer chemistry in South Asia . Chloride’s strong correlation with calcium (r = 0.678) and nitrate (r = 0.667) further indicates combined saline mixing and anthropogenic inputs, particularly from fertilizer runoff and sewage.
Table 5. Pearson’s Correlation among the parameters.

Para-meters

pH

EC

TDS

DO

Turbidity

Ca2+

Mg2+

Na+

k+

Cl-

HCO3-

NO3-

PO43-

SO42-

pH

1

EC

0.711

1

TDS

0.694

0.993

1

DO

0.009

0.107

0.208

1

Turbidity

0.166

-0.050

-0.015

0.431

1

Ca2+

0.217

0.344

0.334

-0.276

-0.491

1

Mg2+

-0.403

-0.306

-0.329

0.178

-0.072

-0.107

1

Na+

0.451

0.246

0.266

0.076

0.268

-0.056

-0.419

1

k+

0.501

0.105

0.118

0.272

0.084

-0.151

-0.084

-0.164

1

Cl-

0.585

0.647

0.663

0.144

-0.306

0.678

-0.177

0.141

0.408

1

HCO3-

0.971

0.691

0.682

0.101

0.235

0.144

-0.376

0.318

0.543

0.492

1

NO3-

0.300

0.789

0.817

0.165

-0.282

0.655

-0.270

0.150

-0.240

0.667

0.266

1

PO43-

-0.193

0.252

0.241

-0.030

-0.115

-0.428

-0.107

0.133

-0.478

-0.411

-0.164

0.184

1

SO42-

-0.711

-0.766

-0.760

-0.317

0.057

-0.124

-0.131

-0.240

-0.445

-0.674

-0.673

-0.436

-0.026

1

Similar chloride–nitrate linkages have been reported in coastal aquifers influenced by both seawater intrusion and fertilizer application . The positive NO₃⁻-EC relationship (r = 0.789) supports this interpretation, consistent with earlier studies in coastal Bangladesh . Conversely, magnesium (Mg²⁺) showed negative correlations with Na⁺ (r = -0.419) and HCO₃⁻ (r = -0.376), suggesting distinct geochemical origins or ion-exchange processes, patterns also noted in other saline-prone aquifers . Sulfate (SO₄²⁻) also correlated negatively with pH, EC, and TDS, implying limited geogenic sulfate sources or possible dilution effects in the studied sites, which differs from patterns seen in regions with intensive industrial or agricultural activities . Nutrient signals were generally weak, with phosphate (PO₄³⁻) showing negligible correlations across variables, consistent with studies where phosphate mobility is low due to strong adsorption to sediments . Inclusively, the correlation patterns point to salinity, carbonate buffering, and localized anthropogenic inputs as dominant hydrochemical drivers in the study area. These findings align closely with broader regional evidence documenting the interplay of natural geogenic controls, climate-induced salinity stress, and human activities in coastal groundwater systems .
3.5. Water Quality Index (WQI)
The Weighted Arithmetic Water Quality Index (WQI) provides an integrated assessment of drinking water quality in BBFM and AP Halls. Table 6 represent the Weighted Arithmetic WQI of Water Samples from BBFM and AP Hall. The calculated values ranged from 42.66 to 51.71, with most samples classified as Good (25-50). The only exception was BBFM4 (WQI = 51.71), which slightly exceeded the threshold and fell into the Poor category, indicating that while the water is generally safe for consumption, localized issues warrant closer attention.
Table 6. Weighted Arithmetic WQI of Water Samples from BBFM and AP Hall.

Para

meters

WHO

Std.

Unit weight

BBFM Hall (BBFM1 to BBFM6)

AP Hall (AP1 to AP3)

(Wn)

1

2

3

4

5

6

1

2

3

WnQn

WnQn

WnQn

WnQn

WnQn

WnQn

WnQn

WnQn

WnQn

PH

8.5

0.174

16.57

16.30

16.32

16.38

16.40

16.03

15.99

16.07

16.14

EC

1500

0.001

0.06

0.06

0.06

0.06

0.06

0.06

0.05

0.05

0.05

TDS

500

0.003

0.24

0.24

0.24

0.24

0.24

0.24

0.23

0.23

0.23

Turbidity

5

0.297

7.71

5.52

5.22

7.42

5.81

6.11

5.52

8.90

4.92

DO

8

0.185

7.23

7.02

7.44

11.17

6.09

8.62

6.72

8.13

7.44

Na+

200

0.007

0.56

0.56

0.63

0.60

0.63

0.52

0.49

0.62

0.57

K+

12

0.124

5.97

5.54

3.24

6.64

4.89

3.64

4.91

3.68

5.45

Ca2+

75

0.020

1.26

1.34

1.71

1.22

1.27

1.13

1.51

0.93

1.00

Mg2+

50

0.030

1.26

1.40

1.29

1.22

0.95

1.32

1.28

1.31

1.39

Cl-

250

0.006

0.37

0.42

0.41

0.42

0.38

0.34

0.37

0.31

0.33

HCO3-

120

0.012

5.72

5.15

5.21

5.40

5.34

4.96

4.84

4.90

5.03

SO42-

250

0.006

0.01

0.01

0.01

0.01

0.01

0.01

0.01

0.01

0.01

NO3-

11

0.135

0.76

0.88

1.12

0.93

0.91

1.00

0.74

0.59

0.55

∑Wn

1.00

∑WnQn

47.72

44.44

42.91

51.71

43.00

43.98

42.66

45.74

43.10

WQI= ∑WnQn/∑Wn

47.72

44.44

42.91

51.71

43.00

43.98

42.66

45.74

43.10

WQI Status (25-50) with Rank

Good

(B)

Good

(B)

Good

(B)

Poor

(C)

Good

(B)

Good

(B)

Good

(B)

Good

(B)

Good

(B)

Variability was more pronounced in BBFM Hall, where BBFM4 recorded the highest WQI, largely due to elevated dissolved oxygen (11.17 mg/L) and turbidity (7.42 NTU). Because these parameters carry higher weights in the index, even small fluctuations can strongly influence the overall score. This sensitivity of WQI to health and aesthetic related indicators has been noted in other studies in Bangladesh and globally . In contrast, AP Hall displayed more consistent water quality, with WQI values ranging from 42.66 to 45.74, suggesting relatively stable conditions. Salinity-related parameters such as sodium (Na⁺), chloride (Cl⁻), and bicarbonate (HCO₃⁻) also contributed moderately to the index. Elevated bicarbonate levels are consistent with carbonate weathering processes typical of South Asian aquifers . Although sodium and chloride remained within WHO guidelines, their presence reflects the underlying salinity pressures widely reported in coastal Bangladesh . Generally, the WQI analysis suggests that water from both halls is largely suitable for drinking. However, continuous monitoring is essential to address risks associated with salinity intrusion and turbidity fluctuations. Similar conclusions have been drawn in other regional studies, which stress proactive management to ensure long-term drinking water safety .
3.6. Principal Component Analysis (PCA)
The Principal Component Analysis (PCA) extracted five components explaining 89.55% of the total variance, underscoring its effectiveness in simplifying complex hydrochemical datasets while retaining key variability (Table 7). Such explanatory power has been similarly reported in groundwater studies across South Asia . PC1, accounting for 39.84% of the variance, is dominated by TDS, EC, pH, bicarbonate, and chloride, with a strong negative loading from sulfate, reflecting ionic strength and mineralization processes typical of saline intrusion and carbonate weathering. Similar ionic associations (EC-TDS-Cl--HCO₃-) have been documented in recent research on saline-prone aquifers of Khulna and Satkhira . The inverse sulfate trend may indicate sulfate reduction or dilution, a pattern also observed in updated coastal aquifer studies. PC2 (17.10%) shows dominant positive loading of turbidity and potassium with negative loading from calcium and nitrate, suggesting nutrient-particulate interactions influenced by surface runoff and organic loading. Similar turbidity-nutrient dynamics have been highlighted by contemporary studies examining agricultural runoff and domestic wastewater influence in southwestern Bangladesh .
Table 7. Results of PCA for Physico-chemical parameters.

Principal Component

Eigenvalue (Total)

% Variance

Cumulative% Variance

Top Eigenvector Coefficients and associated variables

PC1

5.578

39.84

39.84

0.926 (TDS), 0.919 (EC), 0.863 (pH), 0.823 (HCO₃⁻), 0.822 (Cl⁻), and –0.817 (SO₄²⁻)

PC2

2.394

17.10

56.94

0.746 (Turbidity), 0.602 (K⁺), –0.689 (Ca²⁺), –0.567 (NO₃⁻), and 0.455 (DO)

PC3

2.024

14.46

71.40

0.851 (PO₄³⁻), 0.493 (Na⁺), 0.282 (Turbidity), 0.267 (TDS), and 0.257 (EC)

PC4

1.511

10.79

82.19

0.694 (Mg²⁺), 0.635 (DO), –0.383 (Na⁺), 0.291 (pH), and –0.192 (Ca²⁺)

PC5

1.030

7.36

89.55

0.485 (DO), 0.421 (Turbidity), 0.316 (Na⁺),

–0.143 (pH), and –0.071 (Mg²⁺)

Figure 3. Scree plot for principal component analysis of physico-chemical parameters.
PC3 (14.46%) is driven by phosphate and sodium, indicative of anthropogenic nutrient enrichment associated with fertilizer leaching, detergent discharge, and sanitation leakage. Recent studies continue to link phosphate enrichment to poor wastewater management and agricultural intensification . PC4 (10.79%) shows strong contributions from magnesium and dissolved oxygen, reflecting geogenic mineral inputs and aeration, with moderate negative associations with sodium and pH that may signal ion-exchange or rock-water interactions . Finally, PC5 (7.36%) captures residual variation through dissolved oxygen, turbidity, and sodium, suggesting localized or episodic influences such as short-term contamination or seasonal mixing . These findings mirror regional evidence that groundwater quality in coastal Bangladesh is shaped by the combined pressures of saline intrusion, agricultural inputs, and sanitation challenges .
3.7. Pollution Index of Groundwater (PIG)
The Pollution Index of Groundwater (PIG) assessment provides a clear evaluation of groundwater safety across BBFM and AP Halls. The calculated PIG values ranged between 0.688-0.830 in BBFM and 0.678-0.758 in AP, all falling below the threshold of 1.0, which indicates insignificant pollution (Table 8). Each parameter was assigned a standard limit (WHO), a relative weight (Rw) reflecting its health impact, and a weight parameter (Wp) calculated from Rw (∑Rw = 43). The weighted concentration status (WpSc) for each parameter was computed, and the PIG value for each sample obtained by summing WpSc. All samples from BBFM (0.688-0.830) and AP (0.678-0.758) Halls had PIG values <1.0, indicating insignificant pollution . Among the parameters, HCO₃⁻ contributed most prominently to the overall index, reflecting its geogenic origin from carbonate weathering, a process widely reported in South Asian aquifers . This result confirms that the water is generally suitable for drinking, with minimal health risk, consistent with the WHO standards .
Table 8. Results of PIG for Physico-chemical Parameters.

BBFM Hall (BBFM1 to BBFM6)

AP Hall (AP1 to AP3)

Para

meters

Ds

Rw

Wp

1

2

3

4

5

6

1

2

3

WpSc*

WpSc

WpSc

WpSc

WpSc

WpSc

WpSc

WpSc

WpSc

PH

8.5

3

0.075

0.071

0.070

0.070

0.070

0.071

0.069

0.069

0.069

0.069

EC

1500

5

0.125

0.073

0.073

0.073

0.072

0.073

0.073

0.068

0.069

0.069

TDS

500

5

0.125

0.103

0.102

0.103

0.103

0.103

0.026

0.023

0.097

0.097

DO

8

2

0.050

0.020

0.019

0.020

0.030

0.016

0.023

0.018

0.022

0.020

Na+

200

4

0.100

0.075

0.075

0.085

0.080

0.085

0.070

0.066

0.084

0.077

K+

12

1

0.025

0.012

0.011

0.007

0.013

0.010

0.007

0.010

0.007

0.011

Ca2+

75

2

0.050

0.032

0.034

0.043

0.031

0.032

0.029

0.038

0.024

0.025

Mg2+

50

2

0.050

0.021

0.024

0.022

0.021

0.016

0.022

0.022

0.022

0.023

Cl-

250

4

0.100

0.063

0.071

0.069

0.071

0.064

0.057

0.062

0.052

0.056

HCO3-

120

3

0.075

0.347

0.313

0.316

0.328

0.324

0.301

0.294

0.297

0.305

SO42-

250

4

0.100

0.001

0.001

0.001

0.001

0.001

0.001

0.002

0.002

0.001

NO3-

11

5

0.125

0.007

0.008

0.010

0.009

0.008

0.009

0.007

0.005

0.005

∑Rw

40

Wp= Rw/∑Rw

1.00

∑Ow

0.825

0.801

0.820

0.830

0.804

0.688

0.678

0.750

0.758

PIG = ∑Ow

0.825

0.801

0.820

0.830

0.804

0.688

0.678

0.750

0.758

PIG Status (<1)

Insignificant Pollution

Note: Ds=WHO Std., Rw=Relative weight Wp=Weight parameter and *Sc was calculated as C divided by Ds, where C values of physico-chemical parameters are from Tables 3 and 4.
Elevated bicarbonate levels often enhance buffering capacity but also signal natural mineralization, as observed in coastal Bangladesh . By contrast, SO₄²⁻ and NO₃⁻ showed minimal contributions, suggesting negligible influence from industrial or agricultural pollution. The low nitrate levels, in particular, indicate limited impact of fertilizer leaching or sewage infiltration, which aligns with findings from other groundwater studies in Khulna and peri-urban Bangladesh . The low PIG values also highlight that despite the broader concerns of salinity intrusion and water stress in coastal Bangladesh , the groundwater in these locations remains largely unpolluted. Similar insignificant PIG levels have been reported in other parts of Bangladesh where natural geochemical processes dominate over anthropogenic contamination . Continued monitoring remains essential, however, given the long-term risks posed by climate-induced salinity intrusion and growing anthropogenic pressures .
3.8. Quantitative Microbial Risk Assessment (QMRA)
The Quantitative Microbial Risk Assessment (QMRA) of drinking water from BBFM and AP sites (Table 10) provides a clear picture of the infection risks associated with E. coli. At BBFM, concentrations ranged from 3 to 13 CFU/100 mL, corresponding to adjusted doses of 0.075-0.325 CFU. Although the probability of infection per single exposure was very low (0.00037-0.00159), annual infection risks rose sharply, from 12.5% (BBFM1) to 43.9% (BBFM5), illustrating how repeated exposure amplifies cumulative risk (Figure 4). Similarly, AP site samples, with slightly lower concentrations (4-6 CFU/100 mL) and doses (0.100-0.150 CFU), showed single-exposure infection probabilities of 0.00049-0.00073 and annual risks of 16.4%-23.5% (Figure 4).
Figure 4. Quantitative Microbial Risk Assessment of samples showing annual risk percentages.
These results emphasize that even low-level contamination can pose significant long-term health threats, consistent with previous studies showing chronic exposure to fecal pathogens elevates infection risk . The findings also align with QMRA studies in South Asian urban water systems, where daily ingestion of contaminated water notably increased annual infection probabilities . Variability among samples further reflects differences in water handling and storage practices, highlighting the need for continuous monitoring and improved sanitation measures . Largely, the QMRA emphasizes the importance of addressing persistent E. coli contamination, even at low concentrations, to minimize cumulative infection risks and protect public health in institutional settings.
3.9. Chemical Health Risk Assessment
Figure 5 illustrates the comparative daily health risks associated with nitrate (expressed as Hazard Quotient, HQ) and sodium intake (expressed as a percentage of the WHO guideline) for water samples. The HQ values for nitrate are exceptionally low, ranging from 0.0021 to 0.0043 well below the threshold value of 1.0, indicating no potential non-carcinogenic health risk from nitrate exposure (Table 11) . Among the samples, BBFM3 (0.00429) recorded the highest HQ, while AP3 (0.00210) showed the lowest.
Figure 5. Health Risk Assessment of Nitrate and Sodium in Water from Two Residential Halls: Chemical and Salinity Impacts.
Sodium intake levels were also within the safe range, contributing between 13.29% and 16.99% of the WHO-recommended daily intake of 2000 mg/day . The highest sodium contribution was observed in BBFM5 (16.99%), whereas AP1 (13.29%) recorded the lowest. Sodium concentration (expressed as% of the drinking-water guideline) was included to represent salinity exposure, as sodium is a major indicator of seawater intrusion in coastal groundwater. Presenting Na together with nitrate HQ allows comparison between chemical health risks and salinity-related impacts across the same sampling sites. The slightly higher HQ values in BBFM samples suggest marginally elevated nitrate concentrations compared to AP samples; however, all remain within safe limits. Inclusive, all samples fall below the WHO guideline values for both nitrate and sodium, indicating no significant non-carcinogenic health risks from daily water consumption. The figure therefore supports that the drinking water from both halls is chemically safe and suitable for human consumption .
3.10. Ensuring Safe Water in BBFM and AP Halls
Table 9 outlines a comprehensive, multi-tiered action plan designed to ensure safe water in BBFM and AP Halls through immediate, short-to-mid-term, and long-term interventions aimed at mitigating both microbial and chemical contamination risks. These strategies are not isolated but rather interlinked, forming an integrated water safety management framework that combines rapid protection with sustainable system improvement. Immediate actions such as boiling water before consumption, applying point-of-use filtration, and chlorinating storage tanks serve as the first line of defense against acute microbial exposure. These low-cost and easily implementable measures provide immediate protection to residents while establishing the foundation for a culture of water safety awareness. Short-to-mid-term measures focus on system strengthening and behavioral transformation. The introduction of UV disinfection units and centralized filtration systems enhances treatment efficiency at the point of supply. Routine microbiological and chemical monitoring, combined with awareness and hygiene campaigns, helps institutionalize safe water practices among residents and hall authorities. These measures bridge the gap between emergency responses and long-term resilience by embedding water safety within hall management protocols and regular maintenance schedules. Long-term strategies address the structural and environmental causes of contamination. Upgrading old and corroded supply lines, installing onsite water treatment units, improving drainage and wastewater systems, and adopting environmentally sustainable practices (e.g., rainwater harvesting and source protection) ensure a durable improvement in water quality. Integrating these interventions within a Water Safety Plan (WSP) framework will enable continuous risk assessment, preventive maintenance, and performance monitoring . Collectively, these layered actions create a dynamic management approach immediate measures provide rapid risk reduction, short-to-mid-term actions ensure system reliability and community participation, and long-term investments secure sustainable water quality. Through such an integrated management model, BBFM and AP Halls can achieve consistent access to safe, potable water and align with national and WHO drinking water quality standards.
Table 9. Action Plan for Ensuring Safe Water in two females Halls.

Action Category

Specific

Action

Timeframe

(months)

Importance*

Practical Considerations

Key

Remarks

Targeted Water Quality Indicators

Immediate Actions

Boil water before drinking

<3

months

5

Focus on quick elimination of microbial risk

Easy to implement immediately and no infrastructure needed

TC, FC, E. coli

Use point-of-use water filters (UV/ceramic)

4

Portable units recommended for residents

Filters should be maintained and replaced regularly

TC, FC, E. coli; Turbidity

Chlorinate and clean storage tanks regularly

5

Prevent bacterial buildup in stored water

Requires staff training for proper dosing and cleaning

TC, FC, E. coli; Cl⁻

Short-to-Mid-Term Actions

Install UV water purifiers in common areas

3–12

months

3

Chemical-free pathogen elimination

Requires electrical connection and maintenance

TC, FC, E. coli

Centralized multi-stage filtration systems at entry points

5

Improves water quality

The initial investment is high and reduces long-term risk

TC, FC, E. coli; Turbidity; TDS, Na⁺, Cl⁻

Monthly water quality testing (microbial and chemical)

4

Monitoring ensures safe water consistently

Helps track trends and identify contamination early

pH, EC, TDS, DO, Turbidity, Na⁺, Cl⁻, TC, FC, E. coli

Awareness campaigns on safe water handling and hygiene

3

Education supports behavior change

Increases compliance with water safety practices

TC, FC, E. coli (indirectly)

Long-Term Actions

Replace or upgrade water supply lines

>12

months

5

Prevents leaks and contamination

May require significant planning and budget

TC, FC, E. coli; Turbidity; TDS, Na⁺, Cl⁻

Build onsite water treatment units

5

Ensures scalable purification

long-term investment that reduces dependency on external water sources

TC, FC, E. coli; Turbidity; TDS, Na⁺, Cl⁻; DO

Improve drainage and waste management systems

4

Reduces environmental contamination risk

Supports overall environmental health and sustainability

TC, FC, E. coli; NO₃⁻, PO₄³⁻; Turbidity

* Likert Scale (1–5): 1-Very Low Importance, 2- Low Importance, 3-Moderate Importance, 4-High Importance, and 5- Must Implement
4. Conclusion
This study aimed to evaluate the drinking water quality in the BBFM and AP Halls, with a focus on microbiological safety and overall groundwater quality. The analyses revealed that physico-chemical parameters across all samples fell within acceptable limits, with Pollution Index of Groundwater (PIG) values consistently below 1.0, indicating minimal chemical contamination as well as chemical health risks from nitrate and sodium are negligible. In contrast, microbial assessment through Quantitative Microbial Risk Assessment (QMRA) highlighted that even low-level E. coli contamination could result in significant annual infection risks, particularly with repeated exposure. BBFM samples exhibited the highest cumulative risk, reaching up to 43.9%, whereas AP samples showed slightly lower but notable risks, up to 23.5%. The integration of chemical and microbial assessments provides a comprehensive understanding of water safety, demonstrating that chemical compliance does not necessarily guarantee protection against pathogenic risks. Limitations of this study include the relatively small sample size and the focus on two specific institutional sites, which may constrain the generalizability of results to broader urban or rural contexts. Future research should expand to diverse locations, incorporate seasonal variability, and explore additional pathogens to provide a more holistic risk assessment. Moving forward, policymakers and practitioners should focus on continuous microbial monitoring, enforce comprehensive water safety protocols, and incorporate QMRA into routine water quality assessments. Protecting university residents’ health requires a proactive strategy that combines chemical quality evaluation with microbial risk management, integrating immediate protective measures with long-term infrastructure improvements. The findings emphasize that routine microbiological monitoring and proper water handling are essential for reducing infection risks. Practical interventions, such as regular disinfection and secure water storage, can significantly enhance safety and promote better health outcomes for campus populations.
Abbreviations

BBFM

Bangamata Begum Fazilatunnessa Mujib Hall

AP

Aparajita Hall

WQI

Water Quality Index

PCA

Principal Component Analysis

PIG

Pollution Index of Groundwater

QMRA

Quantitative Microbial Risk Assessment

EC

Electrical Conductivity

TDS

Total Dissolve Solid

TC

Total Coliform

FC

Fecal Coliform

WHO

World Health Organization

HQ

Hazard Quotient

Acknowledgments
The authors express their sincere gratitude to all individuals who contributed to the successful completion of this study. The authors also gratefully acknowledge the Environmental Science Discipline, Khulna University, for providing access to laboratory facilities essential for conducting parts of the research. Finally, heartfelt appreciation is conveyed to the authorities of Bangamata Begum Fazilatunnessa Mujib Hall and Aparajita Hall, Khulna University, for their kind assistance and generous support during the sample collection phase.
Funding
This research was supported by the Research and Innovation Centre (RIC), Khulna University, Khulna.
Author Contributions
Sadia Islam Mou: Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Supervision, Visualization, Writing – original draft
Hridita Sarkar: Data curation, Formal Analysis, Investigation, Methodology, Visualization, Writing – review & editing
Sadhon Chandra Swarnokar: Methodology, Validation, Visualization, Writing – review & editing
Salma Begum: Conceptualization, Funding acquisition, Validation, Visualization, Writing – review & editing
Conflicts of Interest
The authors confirm that there is no conflict of interest with the publication of this article.
Appendix
Table 10. Quantitative Microbial Risk Assessment (QMRA) of drinking water samples.

Sample

ID

E. coli

(CFU/100 mL)

Adjusted dose

d (CFU)

P_inf

P_Annual

P_Annual

(%)

BBFM1

3

0.075

0.000367

0.125420

12.54

BBFM2

10

0.250

0.001221

0.359686

35.97

BBFM3

5

0.125

0.000611

0.200063

20.01

BBFM4

8

0.200

0.000977

0.300119

30.01

BBFM5

13

0.325

0.001585

0.439560

43.96

BBFM6

6

0.150

0.000733

0.234931

23.49

AP1

4

0.100

0.000489

0.163585

16.36

AP2

6

0.150

0.000733

0.234931

23.49

AP3

5

0.125

0.000611

0.200063

20.01

Table 11. Daily Intake and Health Risk of Nitrate and Sodium for respondents.

Sample

ID

NO₃⁻

(mg/L)

NO₃ as N

(mg N/L)

CDI

(mg/kg-day)

HQ

Na (mg/L)

Na intake (mg/day)

% of WHO 2000 mg/day

BBFM1

0.618

0.13955

0.00465

0.00291

150.87

301.74

15.09

BBFM2

0.715

0.16145

0.00538

0.00336

150.58

301.16

15.06

BBFM3

0.913

0.20616

0.00687

0.00429

169.70

339.40

16.97

BBFM4

0.762

0.17207

0.00574

0.00359

160.94

321.88

16.09

BBFM5

0.745

0.16823

0.00561

0.00350

169.93

339.86

16.99

BBFM6

0.813

0.18358

0.00612

0.00383

140.12

280.24

14.01

AP1

0.603

0.13616

0.00454

0.00284

132.90

265.80

13.29

AP2

0.480

0.10839

0.00361

0.00226

168.39

336.78

16.84

AP3

0.445

0.10048

0.00335

0.00210

153.29

306.58

15.33

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    Mou, S. I., Prachi, H. S., Swarnokar, S. C., Begum, S. (2025). Drinking Water Quality Assessment in Groundwater-Fed Supply Systems: A Case Study of Female Residential Halls at Khulna University, Bangladesh. Journal of Water Resources and Ocean Science, 14(6), 229-247. https://doi.org/10.11648/j.wros.20251406.16

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    Mou, S. I.; Prachi, H. S.; Swarnokar, S. C.; Begum, S. Drinking Water Quality Assessment in Groundwater-Fed Supply Systems: A Case Study of Female Residential Halls at Khulna University, Bangladesh. J. Water Resour. Ocean Sci. 2025, 14(6), 229-247. doi: 10.11648/j.wros.20251406.16

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    AMA Style

    Mou SI, Prachi HS, Swarnokar SC, Begum S. Drinking Water Quality Assessment in Groundwater-Fed Supply Systems: A Case Study of Female Residential Halls at Khulna University, Bangladesh. J Water Resour Ocean Sci. 2025;14(6):229-247. doi: 10.11648/j.wros.20251406.16

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  • @article{10.11648/j.wros.20251406.16,
      author = {Sadia Islam Mou and Hridita Sarker Prachi and Sadhon Chandra Swarnokar and Salma Begum},
      title = {Drinking Water Quality Assessment in Groundwater-Fed Supply Systems: A Case Study of Female Residential Halls at Khulna University, Bangladesh},
      journal = {Journal of Water Resources and Ocean Science},
      volume = {14},
      number = {6},
      pages = {229-247},
      doi = {10.11648/j.wros.20251406.16},
      url = {https://doi.org/10.11648/j.wros.20251406.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wros.20251406.16},
      abstract = {Securing safe drinking water remains a pressing public health challenge in Bangladesh, where groundwater quality is increasingly undermined by a combination of natural factors and human-induced activities. This study examined the drinking water quality of two female residential halls such as Bangamata Begum Fazilatunnessa Mujib (BBFM) Hall and Aparajita Hall (AP) at Khulna University over a six-month period. An integrated approach was applied, combining physico-chemical and microbial analyses with multivariate and risk assessment methods such as Pearson’s correlation, Water Quality Index (WQI), Principal Component Analysis (PCA), Pollution Index of Groundwater (PIG), Quantitative Microbial Risk Assessment (QMRA) and Chemical Health Risk Assessment. Physical analyses indicated neutral to slightly alkaline water, with moderate electrical conductivity (EC) and total dissolved solids (TDS) reflecting natural geogenic influences. Chemical evaluation revealed a sodium-chloride-bicarbonate-dominated profile, while nitrate, phosphate, and sulfate remained within safe limits, though salinity indicators highlight potential long-term risks. Microbiological assessment detected total coliform (TC), fecal coliform (FC) and Escherichia coli (E. coli ) above World Health Organization (WHO) thresholds, indicating fecal contamination and immediate public health concerns. PCA and correlation analyses identified salinity, carbonate buffering, and phosphorus enrichment as key hydrochemical drivers, whereas the WQI ranged from 42.66 to 51.71, classifying most samples (except BBFM 4) as good. The PIG values (<1.0) indicated insignificant pollution. QMRA estimated annual infection probabilities of 12% to 44%, far above the WHO benchmark (≤10⁻⁴), underscoring cumulative exposure risks. Chemical health risk assessment confirmed no significant non-carcinogenic threat from nitrate or sodium intake. These results indicate that although the water is largely safe from a chemical standpoint, it carries considerable microbial health risks. Based on these findings, a comprehensive management approach is advised, incorporating immediate actions, short to mid-term interventions, and long-term infrastructural improvements, alongside the implementation of a Water Safety Plan (WSP) to ensure safe and sustainable drinking water in university residential facilities.},
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Drinking Water Quality Assessment in Groundwater-Fed Supply Systems: A Case Study of Female Residential Halls at Khulna University, Bangladesh
    AU  - Sadia Islam Mou
    AU  - Hridita Sarker Prachi
    AU  - Sadhon Chandra Swarnokar
    AU  - Salma Begum
    Y1  - 2025/12/30
    PY  - 2025
    N1  - https://doi.org/10.11648/j.wros.20251406.16
    DO  - 10.11648/j.wros.20251406.16
    T2  - Journal of Water Resources and Ocean Science
    JF  - Journal of Water Resources and Ocean Science
    JO  - Journal of Water Resources and Ocean Science
    SP  - 229
    EP  - 247
    PB  - Science Publishing Group
    SN  - 2328-7993
    UR  - https://doi.org/10.11648/j.wros.20251406.16
    AB  - Securing safe drinking water remains a pressing public health challenge in Bangladesh, where groundwater quality is increasingly undermined by a combination of natural factors and human-induced activities. This study examined the drinking water quality of two female residential halls such as Bangamata Begum Fazilatunnessa Mujib (BBFM) Hall and Aparajita Hall (AP) at Khulna University over a six-month period. An integrated approach was applied, combining physico-chemical and microbial analyses with multivariate and risk assessment methods such as Pearson’s correlation, Water Quality Index (WQI), Principal Component Analysis (PCA), Pollution Index of Groundwater (PIG), Quantitative Microbial Risk Assessment (QMRA) and Chemical Health Risk Assessment. Physical analyses indicated neutral to slightly alkaline water, with moderate electrical conductivity (EC) and total dissolved solids (TDS) reflecting natural geogenic influences. Chemical evaluation revealed a sodium-chloride-bicarbonate-dominated profile, while nitrate, phosphate, and sulfate remained within safe limits, though salinity indicators highlight potential long-term risks. Microbiological assessment detected total coliform (TC), fecal coliform (FC) and Escherichia coli (E. coli ) above World Health Organization (WHO) thresholds, indicating fecal contamination and immediate public health concerns. PCA and correlation analyses identified salinity, carbonate buffering, and phosphorus enrichment as key hydrochemical drivers, whereas the WQI ranged from 42.66 to 51.71, classifying most samples (except BBFM 4) as good. The PIG values (<1.0) indicated insignificant pollution. QMRA estimated annual infection probabilities of 12% to 44%, far above the WHO benchmark (≤10⁻⁴), underscoring cumulative exposure risks. Chemical health risk assessment confirmed no significant non-carcinogenic threat from nitrate or sodium intake. These results indicate that although the water is largely safe from a chemical standpoint, it carries considerable microbial health risks. Based on these findings, a comprehensive management approach is advised, incorporating immediate actions, short to mid-term interventions, and long-term infrastructural improvements, alongside the implementation of a Water Safety Plan (WSP) to ensure safe and sustainable drinking water in university residential facilities.
    VL  - 14
    IS  - 6
    ER  - 

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  • Abstract
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    1. 1. Introduction
    2. 2. Methodology
    3. 3. Results and Discussion
    4. 4. Conclusion
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  • Acknowledgments
  • Funding
  • Author Contributions
  • Conflicts of Interest
  • Appendix
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