Assessment
of physiochemical parameters, water quality index in selected water resources
in Raipur city, Chhattisgarh
1Vishnu Prasadin
Sahoo, 2Kavita Das
1,2Government Nagarjuna Post Graduate
Autonomous College of Science, Raipur, Chhattisgarh
vishnusahoo65@gmail.com; drkavitadas6@gmail.com
Abstract
The present study investigates the water
quality on different sources such as pond water, tap water, bore well, drinking
purified water in Gudiyari region, Raipur Chhattisgarh. Water samples collected
on January month 2026 in different sampling sites, after collection then
analyzed multiple water quality parameters such as pH, EC, TH, TDS,
temperature, alkalinity, turbidity, chloride, calcium, magnesium, nitrate by
standard methods (APHA) and also calculated the water quality index. This
findings highlights the water quality index of pond water, tap water, bore well
are more than 100 value and it unfit for consumption because peak value of
electrical conductivity (833.33 μs/cm) in pond water, maximum turbidity (33
NTU) in pond water, highest total hardness (400 mg/L) in bore well, and calcium
was shown maximum in tap water, pond water, bore well and in drinking purified
water the water quality index is below 50 and good condition it is safe for
consumption. However, need to monitoring and remove the contamination in pond
water, tap water, bore well.
Keywords- Aquatic
ecosystem, Physiochemical parameters, Water quality index, Nemerow’s pollution
index.
Introduction
Wetlands such as rivers, lakes, ponds and
other natural sources becomes essential for drinking, irrigation, fisheries,
industrial uses, household purposes (WHO, 2017; WHO, 2025). The assessment of
physiochemical parameters is crucial for determining the quality of different
water bodies. Parameters such as temperature, pH, electrical conductivity,
turbidity, total dissolved solids, dissolved oxygen, biological oxygen demand,
chemical oxygen demand, total hardness, alkalinity and nitrate are directly affects
the environments and aquatic ecosystems. Fluctuations in these parameters
reflects the water quality for domestic purposes, agricultural, pollution
exposure and ecological health (Wetzel, 2001; APHA, 2017; Singh et al., 2020;
Kumar et al., 2024). Water quality index is widely used to evaluate overall
water quality by integrating multiple physiochemical parameters into a single
value, enabling the comparison between different water bodies and seasonal
variations (Horton, 1965; Brown et al., 1970; Tyagi et al., 2020; Uddin et al.,
2021). Various types of microorganisms can also act as indicator in aquatic
bodies and cause the water contamination also affects the human health.
Pathogenic microorganisms such as bacteria, protozoa, algae, fungi, E. coli etc
commonly related to fecal contamination resulting from human activities, sewage
discharge, and surface run off. Their presence indicates microbial pollution
and increase in risks of water borne diseases such as diarrhea, cholera,
typhoid and dysentery (Edberg et al., 2000; Ashbolt, 2004; Bain et al., 2021;
WHO, 2022; UNICEF 2025). However due to rapid industrialization, agricultural
runoff, urbanization and untreated sewage discharge can significantly affect
the fresh water bodies, needs to be continues monitoring the water quality so
that to assess the fresh and hygienic water for utilization and to protect
public health (APHA, 2017; UNESCO, 2020; Shukla et al., 2022).
The present study was undertaken due to
lack of comprehensive research on water quality in Gudiyari region. This area
is characterized by a high population density, and uses different water sources
such as pond water, tap water, bore well etc, which led to increased
anthropogenic activities and a consequent rise in environmental pollution. Now
a days, the deterioration of water resources has become a significant concern,
necessitating systematic assessment and monitoring. Water is a fundamental
resource essential for human survival and public health; therefore, regular
monitoring and assessment of its quality are critically important. In this
context, the present study aims to evaluate the water quality of various
sources in the Gudiyari region using standard physiochemical parameters.
Furthermore, the study seeks to determine the overall water quality index(WQI)
and pollution index(PI), which serve as effective tools for assessing the
suitability of water for human consumption and environmental sustainability.
Methods
Water samples were collected during
January month 2026 from multiple sources including pond water, tap water, and
bore well within the Gudiyari region of Raipur, Chhattisgarh, for the
assessment of water quality. The selection of sampling sites was based on their
representation of different water sources commonly utilized by local
population. All samples were collected following standard sampling procedures
to ensure accuracy. The collected samples were analyzed for various
physiochemical parameters in accordance with standard methods prescribed by
(APHA, 2017). The parameters evaluated included pH, temperature, TDS,
electrical conductivity, turbidity, alkalinity, nitrate concentration, total
hardness, calcium, magnesium, chloride. These parameters were selected due to
their significant role in determining water quality and their impact on human
health and aquatic ecosystems. The analysis of these variables provides the
chemical characterstics of water from different sources. Furthermore, the
obtained data were utilized for the calculation of the water quality index
(WQI), and Nemerow’s pollution index which integrates the suitability of water
for drinking and other domestic purposes.


Table 1. Methods of different parameters-
|
Parameters
|
Methods
|
References
|
|
pH
|
pH meter
|
|
|
Temperature
|
Thermometer
|
|
|
TDS
|
TDS meter
|
|
|
Electrical conductivity
|
Electrical conductivity meter
|
|
|
Alkalinity
|
Titration method
|
APHA, 2017
|
|
Nitrate
|
Colorimeter
|
|
|
Chloride
|
Titration method
|
APHA, 2017
|
|
Total hardness
|
Titration EDTA method
|
APHA, 2017
|
|
Calcium
|
Titration method
|
APHA, 2017
|
|
Turbidity
|
Nephelometer
|
|
|
Carbondioxide
|
Titration method
|
APHA, 2017
|
Table 2. Water quality index ranges
|
S.No.
|
Water quality index
|
Water quality status (Horton,
1965; Brown et al., 1972, Cude, 2001; Tyagi et al., 2013)
|
|
1
|
0-25
|
Excellent
|
|
2
|
26-50
|
Good
|
|
3
|
51-75
|
Poor
|
|
4
|
76-100
|
Very poor
|
|
5
|
>100
|
Unfit for consumption
|
Results
This results highlights the water quality
of different types water bodies analyzes with its physiochemical parameters
such as pond water, tap water, bore well and drinking purified water has been
analyzed with different parameters and results includes that pH varied from 6.6
to 7.35 of all water sources which is within the acceptable limit, chloride
varied from 32.61 to 109.55 mg/L, alkalinity varied from 21.5 to 85 mg/L both
chloride and alkalinity are below the acceptable limit, and TDS varied from 59
to 450 ppm maximum was bore well while other types of water bodies are below the
acceptable limit, turbidity varied from 1 to 33 NTU maximum was pond water
which above the acceptable limit (33 NTU), total hardness varied from 102 to
400 mg/L maximum was tap water and bore well which is above the acceptable
limit, electrical conductivity varied from 102.89 to 833.33 μs/cm maximum was
pond water, calcium varied from 73 to 260 mg/L, maximum was bore well however,
the pond water, tap water, bore well which is above the acceptable limit, and
magnesium varied from 29 to 140 mg/L maximum was bore well, tap water and bore
well are above the acceptable limit and nitrate amount was shown maximum in
bore well as compared to other water resources, almost all type of water bodies
are not good for consumption and its affect the human health except the
drinking purified water which is good for consumption and keeps healthy.
Table 3. Consequences of different types
of water quality parameters
|
Parameters
|
Pond water
|
Tap water
|
Bore well
|
Drinking purified
water
|
BIS standard, 2012
|
|
pH
|
7.25
|
7.07
|
7.35
|
6.6
|
6.5- 8.5
|
|
Temperature (°C)
|
19.5
|
20
|
20.5
|
20
|
|
|
Electrical conductivity (µs/cm)
|
833.33
|
646.66
|
750.0
|
102.89
|
300 μs/cm
|
|
TDS (ppm)
|
320
|
388
|
450
|
59
|
500 – 2000 ppm
|
|
Turbidity (NTU)
|
33
|
3
|
2
|
1
|
1 – 5 NTU
|
|
Total hardness (mg/L)
|
287
|
346
|
400
|
102
|
200 – 600 mg/L
|
|
Chloride
(mg/L)
|
108.30
|
109.55
|
105.82
|
32.61
|
250 – 1000 mg/L
|
|
Calcium (mg/L)
|
220
|
240
|
260
|
73
|
75 – 200 mg/L
|
|
Magnesium (mg/L)
|
67
|
106
|
140
|
29
|
30 – 100 mg/L
|
|
ORP
|
+235
|
-50
|
-51
|
-52
|
- 50 to -600 mV
|
|
Nitrate (ppm)
|
2.44
|
4.95
|
5.00
|
1.67
|
45 mg/L
|
|
Alkalinity (mg/L)
|
67
|
85
|
75
|
21.5
|
200 – 600 mg/L
|
Table 4. Results of water quality index in
different water bodies-
|
s.no
|
Water bodies
|
Results
|
|
1
|
Pond water
|
365.0541 (unfit for
consumption)
|
|
2
|
Tap water
|
114.3433 (unfit for
consumption)
|
|
3
|
Bore well
|
108.5523 (unfit for
consumption)
|
|
4
|
Drinking purified water
|
49.01379 (good)
|
Graph of water quality index

Table 5. NPI (Nemerow’s Pollution
Index)
|
Parameters
|
Standards
|
Pond water
|
Tap water
|
Bore well
|
Drinking purified water
|
|
pH
|
8.5
|
0.852941
|
0.831765
|
0.864706
|
0.917647
|
|
Electrical conductivity (µs/cm)
|
300
|
2.777766
|
2.155533
|
2.5
|
0.444433
|
|
Total alkalinity (mg/L)
|
200
|
0.335
|
0.425
|
0.375
|
0.1075
|
|
Total hardness (mg/L)
|
300
|
0.956667
|
1.153333
|
1.333333
|
0.34
|
|
Calcium (mg/L)
|
75
|
2.933333
|
3.2
|
3.466667
|
0.973333
|
|
Magnesium (mg/L)
|
30
|
2.233333
|
3.533333
|
4.666667
|
0.966667
|
NPI (Nemerow’s pollution index) is to
evaluate the presence of pollution in water bodies. Parameters such as pH,
electrical conductivity, total alkalinity, total hardness, calcium, magnesium
required for calculating the pollution index. However, yellow box of pond
water, tap water, bore well which is more than 1 indicates pollution effect on
water bodies.
Formula for calculation: NPI = Cn/Sn Where, Cn = Concentration of the nth
parameter.
Sn = Prescribed standard limits of the nth parameter.
Results of NPI calculation will be
NPI values < 1,
NPI values > 1(if NPI value is more
than 1 it indicates surplus amount or concentration and potential of
contributing pollution to the water bodies).
Graph: These graphs represents the results
of parameter from different water sources-



Discussion
The present study evaluated the physiochemical
characterstics of water from multiple sources, including pond water, tap water,
bore well, and purified water. The total dissolved solids (TDS) values ranged
from (59 to 450 mg/L) across the sampled sources. Comparable findings were
reported by (Rout and Sharma, 2011) who documented TDS values between (138.82
mg/L to 490.81 mg/L). In contrast, (Sajitha and Vijayamma, 2016) observed
significantly lower TDS concentrations (25.44 mg/L to 89.5 mg/L) in 15 pond
water samples, indicating lower mineralization and reduced levels of dissolved
pollutants. Conversly, higher TDS concentrations (244 mg/L to 1108 mg/L) were
reported by (Ghosh et al., 2015) suggesting greater ionic load and possible
contamination and anthropogenic activites. Turbidity values in the present
study ranged from (1 to 33 NTU). However, previous studies have documented
substantially higher turbidity levels (4 to 232 NTU), exceeding permissible
limits for potable water (Ghosh et al., 2015), which may be attributed to
suspended particulates and organic matter. Total hardness (TH) in the analyzed
samples varied from (102 to 400 mg/L), indicating moderate to high hardness
levels. In comparison, (Sajitha and Vijayamma, 2016) reported significantly
lower TH values (15 to 50 mg/L), which fall within acceptable limits for
drinking water. Additionally, chloride concentrations in their study ranged
from (7.1 to 28.24 mg/L), reflecting minimal anthropogenic influence and low
salinity levels. The present study of water quality index varied from 49.01 to
363.51, good to extremely poor condition. But (Kate et al., 2020) evaluated
water samples from 14 wards and reported elevated levels of TDS, electrical
conductivity, hardness, particularly in old water supply lines. Despite these
variations, the water quality index values ranges between (86 to 90),
categorizing the water under good quality status. Similarly, (Karunanidhi et
al., 2021; Singh et al., 2022) assessed WQI using GIS techniques and observed
values ranging from (71.23 to 447.39). Their findings indicated that nearly 68%
of the studied region exhibited poor water quality due to elevated fluoride,
TDS, and pH levels. These studies also highlighted the prevalence of water –
borne diseases such as gastroenteritis and fluorosis in affected regions. A
regional investigation conducted by (Sahu and Ghosh, 2023) across 10 districts
of Chhattisgarh revealed high TDS concentrations in most water samples, while
calcium and magnesium levels frequently exceeded permissible limits. Likewise
(Verma et al., 2024) analyzed 50 water samples and reported that most samples
were alkaline in nature, with sodium carbonate and chloride as dominant anions,
while calcium and sodium as major cations. Their calculated index values ranged
from (105 – 185), indicating that water was unsuitable for drinking purposes.
Furthermore, (Das, 2025) assessed water quality at 14 different locations and
reported WQI values ranging from 43 to 223, categorizing the samples from
excellent to poor quality. Approximately 61.54% of the water samples were
classified under the poor quality, primarily due to elevated salinity, coliform
contamination, turbidity, TDS, bicarbonate and sulphate.
Conclusion
This study concludes the physiochemical
parameters of water quality from different sources such as pond water, tap
water, bore well, drinking purified water in Gudiyari region and results
indicates that drinking purified water comes within the acceptable limit and it
is useful for consumption while the pond water, tap water, bore well not good
for human health because of maximum TDS, turbidity, total hardness, electrical
conductivity, calcium, magnesium indicating deterioration in water quality and
making these sources are not safe for consumption. However, local communities
use pond water for their daily needs such as agricultural purposes, bathing,
washing and other type of anthropogenic activities etc and also the air
pollution which cause the water pollution in pond. The water quality index was
shown high in pond water, tap water, bore well which is unfit for consumption
but less in mineral water and it comes under good for consumption.
Acknowledgement
I thankful to
my research guide Dr. Kavita Das, for their valuable guidance, support
throughout the study, also thankful to the head of department zoology of Govt.
N.P.G. College of Science Raipur, Chhattisgarh
for providing necessary laboratory facilities.
References
Ali, S., Verma, S.,
Agarwal, M. B., Islam, R., Mehrotra, M., Deolia, R. K., & Fattahi, M.
(2024). Groundwater quality assessment using water quality index and principal
component analysis in the Achnera block, Agra district, Uttar Pradesh, Northern
India. Scientific Reports, 14(1), 5381.
APHA (1998). Standard methods for examination of water
and waste water 20th edition. American public health association
AWWA, WPCA, Washington D.C., U.S.A, 1193.
APHA (2017). Standard Methods for the Examination of
Water and Wastewater (23rd ed.). American Public Health Association,
Washington, DC.
Ashbolt, N. J. (2004). Microbial contamination of
drinking water and disease outcomes in developing regions. Toxicology,
198(1–3), 229–238.
Bain, R., Johnston, R., Mitis, F., Chatterley, C.,
Slaymaker, T., & WHO/UNICEF JMP. (2021). Estimation of global waterborne
disease burden. World Health Organization.
BIS (2012).
Indian Standard Drinking Water Specification (IS 10500:2012). Bureau of Indian
Standards, New Delhi.
Brown, R. M., McClelland, N. I., Deininger, R. A., and
O’Connor, M. F. (1970). A water quality index—Do we dare? Water and Sewage
Works, 117(10), 339–343.
CPCB. (2025). Annual Report on Water Quality Status in
India. Central Pollution Control Board, India.
CGWB. (2010). Ground Water Quality In Shallow Aquifers
of India. Faridabad: Central Ground Water Board, Ministry of Water Resources,
Government of India.
Cude, C.G. (2001).“Oregon Water Quality Index: A Tool
for Evaluating Water Quality Management Effectiveness.”Journal of the American
Water Resources Association, 37(1), 125–137.
Das, A. (2026). Prediction of Urban Surface Water
Quality Scenarios Using Water Quality Index (WQI), Multivariate Techniques, and
Machine Learning (ML) models in water resources, in Baitarani river basin,
odisha: potential benefits and associated challenges. Earth Systems and
Environment, 10(1), 605-641.
Edberg, S. C., Rice, E. W., Karlin, R. J., and Allen,
M. J. (2000). Escherichia coli: The best biological drinking water indicator
for public health protection. Journal of Applied Microbiology, 88(S1),
106S–116S.
Horton, R. K. (1965). An index number system for
rating water quality. Journal of the Water Pollution Control Federation, 37(3),
300–306.
Hota, R. N., Hota, S. R., Murkute, Y. A., Goswami, S.,
and Das, R. (2025). Comprehensive assessment of drinking water quality indices:
A review. Journal of the Geological Society of India, 101(3), 291–299. https://doi.org/10.17491/jgsi/2025/174096
Karunanidhi, D., Aravinthasamy, P., Subramani, T.,
& Muthusankar, G. (2021). Revealing drinking water quality issues and
possible health risks based on water quality index (WQI) method in the
Shanmuganadhi River basin of South India. Environmental Geochemistry and
Health, 43(2), 931-948.
Kate, S., Kumbhar, S., & Jamale, P. (2020). Water
quality analysis of Urun-Islampur City, Maharashtra, India. Applied Water
Science, 10(4), 95.
Kumar, S., Ghosh, N. C., Singh, R. P., Sonkusare, M.
M., Singh, S., & Mittal, S. (2015). Assessment of water quality of lakes
for drinking and irrigation purposes in Raipur City, Chhattisgarh, India. Int.
J. Eng. Res. Appl, 5(2), 42-49.
Kumar, M., Dutta, V., & Prasad, D. (2021).
Assessment of water quality using WQI: A case study of river systems in India.
Environmental Monitoring and Assessment, 193, 1–15.
Lamare, R.E., and Singh, O.P. (2016). Water quality in
the limestone mining areas of East Jaintia Hills District, Meghalaya, India.
Journal of Enivironmental Science and Engineering, 58 (4), 45-52.
Manivasagam, N. (1984). Physiochemical Examination of
Water, Sewage and Industrial Effluents, PragatiPrakashan, Meerut.
Mohan,A., Singh, R.K., Panday,K., Kumar, V., and Jain,
V. (2007). Assessment of water quality in industrial zone of Moradabad:
physiochemical parameters and water quality index, Indian Journal of
Environmental Protection, 27(11), 1031-1033.
Patel, P. S., Pandya, D. M., and Shah, M. (2023). A
systematic and comparative study of water quality index (WQI) for groundwater
quality analysis and assessment. Environmental Science and Pollution Research,
30(19), 54303–54323. https://doi.org/10.1007/s11356-023-25936-3
Patel, R., Singh, V., & Yadav, D. (2026).
Integrated water quality assessment using physicochemical and microbial
indicators. Journal of Environmental Management (in press).
Rout, C., & Sharma, A. (2011). Assessment of
drinking water quality: A case study of Ambala cantonment area, Haryana, India.
International journal of environmental sciences, 2(2), 933-945.
Sajitha, V., & Vijayamma, S. A. (2016). Study of
physico-chemical parameters and pond water quality assessment by using water
quality index at Athiyannoor Panchayath, Kerala, India. Emergent Life Sciences
Research, 2, 46-51.
Sahu, S., & Ghosh, M. K. (2023). Monitoring the
quality of drinking water in various district of Chhattisgarh. International
journal of science and technology research archive, 5(2), 52-59.
Sharma, P., Gupta, S., & Verma, R. (2025).
Seasonal variation of water quality index in freshwater systems. Environmental
Science and Pollution Research.
Shukla, S., Mishra, P., & Tripathi, B. D. (2022).
Impact of anthropogenic activities on water quality. Environmental Science and
Pollution Research, 29, 12345–12360.
Singh, S., Sharma, B., & Kumar, A. (2020).
Evaluation of physicochemical parameters of surface water: A review. Journal of
Environmental Biology, 41(5), 1021–1030.
Singh, R., Upreti, P., Allemailem, K. S., Almatroudi,
A., Rahmani, A. H., & Albalawi, G. M. (2022). Geospatial assessment of
ground water quality and associated health problems in the Western Region of
India. Water, 14(3), 296.
Singh, K. K., Singh, N. A., Singh, K. K., Tripathy,
A., and Gouda, P. (2026). Investigating groundwater quality using water quality
index (WQI), IWQIs and CSIs in the Sutlej River basin of eastern Punjab, India.
Discover Geoscience, 4, 132. https://doi.org/10.1007/s44288-026-00506-5
Swain, P. K., and Biswal, T. (2023). Assessment of
groundwater quality in terms of water quality index (WQI) and fluoride
contamination of Nuapada district, Odisha, India. Applied Water Science, 13,
218. https://doi.org/10.1007/s13201-023-02030-0
Swati, S., and Umesh, S. (2015). Nemerow’s Pollution
Index: For Ground Water Quality Assessment. Journal of Environmental Science
and Pollution Research, 1(1), 23-31.
Tyagi, S., Sharma, B., Singh, P., & Dobhal, R.
(2013).“Water Quality Assessment in Terms of Water Quality Index.” American
Journal of Water Resources, 1(3), 34–38.
Tyagi, S., Sharma, B., Singh, P., & Dobhal, R.
(2020). Water quality assessment in terms of water quality index. American
Journal of Water Resources, 8(1), 34–38.
Uddin, M. G., Nash, S., & Olbert, A. I. (2021). A
review of water quality index models and their application. Ecological
Indicators, 122, 107218.
UNEP. (2024). Global Environment Outlook Report.
United Nations Environment Programme.
UNICEF. (2025). Drinking Water, Sanitation and Hygiene
Global Update.
UNESCO. (2020). United Nations World Water Development
Report 2020: Water and Climate Change. UNESCO Publishing.
Wetzel, R. G. (2001). Limnology: Lake and River
Ecosystems (3rd ed.). Academic Press, San Diego.
WHO (2017).
Guidelines for Drinking-water Quality (4th ed.). World Health Organization,
Geneva.
World Health Organization (WHO). (2022). Guidelines
for drinking-water quality (4th ed., updated). WHO Press.
WHO. (2025). Progress on Household Drinking Water,
Sanitation and Hygiene.