Current World Environment

Introduction

Rivers are important source of fresh water and these originates from melting glaciers or springs. Yamuna river is most famous river of India at which is situated National Capital City i.e., New Delhi. A number of small and largecities are situated along its entire stretch which originates at Yamunotri to convergence point to Ganga River which is at Prayagraj.

The discharge of various toxic chemicals in river water not only alters the physico-chemical parameters but also the hydro biological parameters. Yamuna River has been studied with respect to physicochemical parameters as it gives estimation of the status of river that are showed to deleterious human induced sources. On various rivers of the country many studies have been conducted regarding change inphysical and chemical parameter due to various factors such as spatial, temporal, seasonal, environmental variations and small changes due to choice of sampling sites.¹

Except for some seasonal and spatial variation in the parameters, all the studies show the physico-chemical parameter values higher than the prescribed limit of WHO, 2006.² Some sites of Yamuna in Delhi, Mathura and Agra cities are highly polluted, rendering the river water unfit for any purpose.Various previous studies show that for the last many decades water of Yamuna River is being continuously contaminated beyond all the limits.³ WQI is a beneficial technique for assessing quality of water. As it grants an idea regarding the water quality by using various parameters along with mathematical equations and helps the policy makers in making of policies for giving life to the river.  In the present study various physico-chemical parameters has been estimated and calculated WAWQI which decide suitability of river water for human as well as agricultural consumption.

In recent study the pH for Yamuna water was formed with in permissible limit of WHO whereas several parameters like total hardness, specific conductance, total alkalinity calcium and magnesiumwere present in much higher concentration as compared to permissible limit of WHO, 2006 as well as BIS, 2012 standards for drinking water.⁴ The concentration of Chloride, Sulphate, Phosphate, Sodium were found within permissible limit for segment-I (mountainous region) but downstream to it, all parameters increased very sharply. Literature survey reveals that there is no systematic research showing the entire stretch until now although the physicochemical parameters has been monitored but for different stretch. In the present study the main objective was to analyse various physico-chemical parameters along entire stretch in a single study and see the effect of seasonal variations as sampling has been in seasons of pre monsoon (May, 2017) and post monsoon (October, 2017). Thepresent study aim is to analyse the concentration of various physico-chemical parameters in terms of distance and seasons in river Yamuna.

Materials and Methods

Study Area

The Yamuna River is situated in northern part of India and originates from Yamnotri glacier to get confluence with Ganga River at Prayagraj. In its way, it travels through five states of the country and covers a distance of 1376 Kms.The whole river stretch studied was divided into four segments and water samples were collected at 41 sites (Figure 1a).

Segment-I was of 180 km and have many industries like textile, paper, wood etc. including agricultural run-offs along the river side which may have polluted the river water. The second stretch i.e. Segment-II was of about 246 kms has all types of industries (textiles, paper, chemical, refinery and power plants) along with a large amount of waste-water released into the river as sewage and industrial effluents. The third stretch i.e. Segment-III was of about 160 km which includes two major cities, Delhi and Faridabad, on the river-side, which add a heavy load of waste both from sewage and industries (Textile, thermal power plant, drug, solid waste). Nearly 22 drains of small to large size falls in Yamuna River in this segment-III which comprises Delhi i.e. National Capital City, discharging large amount of waste water. The Segment- IV was of 120 km length downstream the Agra city, up to Ismailpur and many pharmaceutical industries are situated along it with many more industries like footwear industries, oil industry, tanneries and a huge amount of sewage waste from the city.⁵

Figure 1(a): Sampling locations along the Yamuna river. Click here to view Figure

Sample collection: Samples collected from 41 sampling sites in May-June 2017 and October-November 2017 to examine the impacts of monsoon on Yamuna river water and were designated as pre and post monsoon. Composite samples of water were placed in clean and prewashed polythene containers of two liters capacity along river Yamuna. Composite samples were prepared after well mixing of triplicate samples collected by grab sampling following all the appropriate protocols. All the sample were stored in ice-boxes at nearly 4⁰C till brought to laboratory for further analysis. Thermo-probe, EC meter and pH meter used to calculate the values of temperature, electrical conductivity and pH on the spot in the field.

Figure 1(b): Flow chart of methodology Click here to view Figure

Table 1: Analysed physico-chemical parameters with theiranalytical methods, units, instrument used, WHO (2006) and BIS (2012) permissible limits

Water Quality Analysis for Physico-chemical parameters

In this present study thirteen parameters like Temperature, pH, Total Hardness (TH), Specific Conductance, Total Alkalinity, TDS, Chlorides (Cl^-), Sulphate (SO₄^2-), Sodium (Na⁺), Calcium (Ca²⁺), Potassium (K⁺), Magnesium (Mg²⁺) and Phosphate (PO₄³) were assessed to study the water quality using standard quality procedure as described in APHA.⁶ For physico-chemical analysis, double distilled water along with analytical grade chemicals were used to made the solution. For quality assurance, all the analyses were done in triplicate. The data was statistically analysed by intercorrelation matrix to calculate pollution load in river. Correlation matrix was analysed by using Pearson’s correlation.

Weighted Arithmetic Water Quality Index

Among the various available tools for expressing quality of water, WAWQI is one of the most useful and simple method. Mean or aggregate values of various important parameters are used to calculate WAWQI that affects thewater quality. WAWQI is calculated by using the following equations⁷ and compared the water quality with given grading scale between 0-100. 0 to 25 (excellent) and it stands for grade A, 26 to 50 (good) which stands for B grade, 51 to 75 (poor) stands for C grade, 76 to100 (very Poor) for D grade and more than 100 (unsuitable for drinking purpose) which stands for grade E.

Calculations for WAWQI

To calculate quality rating for every parameter the given eq. is used

Calculation for quality rating (Q_i) is given by eq. 1

Where,

Q_i stands fori^th parameter’s Quality rating fortotal of n parameters of water quality Conc._reported= Calculatedwater quality parameters value which is obtained from labanalysis

Conc._ideal= parameter’s ideal value obtained from standard table

Whose pH seven and for various parameter it is liken to zero.

Conc._standard= WHO supported standard value of parameters

Calculations for Unit weight

Inversely proportional to standard values suggested for respective parameter uses equation 2

W_i stands for n^th parameter’s Unit weight and S_i stands for n^th parameter’s standard permissible value and constant is K whose value is considered as 1 for the sake of simplification.

(iii)Calculation for WAWQI

W_i= Unit weight

Q_i=Quality rating

Result

Physical-chemical parameters of river Yamuna during premonsoon and postmonsoon seasons represented in figure 2(a-l)

Figure 2 (a-l): Physico-chemical parameters during pre and post monsoon for Yamuna River Click here to view Figure

Discussion

Temperature

In case of pre-monsoon season the temperature variation for over the whole of the Yamuna river stretch varied from 26 ⁰C to 38 ⁰C and in post-monsoon it varies from 16 ⁰C to 23⁰C. Rise in the water temperature  increases rates of chemical reactions, reducessolubility of gases and solids and elevates metabolic activity of organisms.⁸

pH

It is one of the essentialparameters to explain the water quality deterioration.⁹ In recent study  pH values lies in between 7.0-9.2 during the season of pre-monsoon and 7.4 to 8.8 in post-monsoon as shown in figure 2(a). The average pH value of river water for whole of the stretch during pre-monsoon remains within permissible limits (6.5-8.5). The slightly alkaline nature is due to mixing of washing agents through sewage waste into the river.¹⁰ Leaching of water from agricultural area also increases the pH.¹¹ Increased pH value increases the solubility of toxic chemicals in water which become harmful to the aquatic fauna.

Electrical conductance

It measure water saltiness hazards which affect the crop productivity¹²and is a fast method to measure the total dissolved solids.¹³ A water sample is considered to be fresh and unpolluted if its electrical conductivity is up to the threshold limit of 1 mScm^-1.¹⁴The conductivity range of samples varies between 0.0875 mS/cm at site S-4 Assan Barrage (Himachal Pradesh) and 2.42 mS/cm at site S-34 at Agra as shown in figure 2(b). The increased values of EC are at site S-34 in Agra region clearly shows the increased load of dissolved inorganic solids.

Total Dissolved Solids (TDS)

TDS is a major pollution burden on the aquatic system originating from natural and human induced sources such as sewage urban runoff, industrial effluents and agricultural runoff.¹⁵ High concentration of total solids effects the light penetration in the river water which may result in limited growth of aquatic life. High level of total organic matters increases the biological and chemical oxygen demand (BOD and COD) depleting the dissolved oxygen (DO) which increases water toxicity thus impair the water quality.¹⁶ The TDS value of the Yamuna River water in its entire stretch in premonsoon season varied from 56 mg/L to 1550 mg/L, while it varied from 77mg/L to 1060mg/L during postmonsoon as shown in figure 2(c). This reduction may be due to the addition of water from Chambal, Sind, Betwa and Ken like southern tributaries of river Yamuna that likely dilute the pollutants concentration. TDS is strongly correlated with TH, TA, Cl^-, Mg²⁺, Ca²⁺, Na⁺, K⁺ and PO₄^3-.

Total Hardness (TH)

Water becomes hard due to existence of chloride, bicarbonates and sulphate of primarily magnesium & calcium. High concentration of total solids effects the light penetration in the river water which may result in limited growth of aquatic life. In current study the TH of Yamuna River water varied from 60 mg/L -730 mg/L during premonsoon where as in the season of post monsoon the range of TH from 62mg/L - 768mg/L as shown in Figure 2(d). The average value of TH falls within the permissible limit in mountainous and Haryana segments, but when it enters Delhi up to its confluence with river Ganga becomes very hard and its TH washigher than the upper permissible limit. This may be due to the heavy sewage load mixed in the river by highly populated cities such as Delhi, Mathura and Agra. Total Hardness was found to be highly correlated with Total Alkalinity, Cl^-, Mg²⁺, Ca²⁺, Na⁺, K⁺ and PO₄^3- .

Total Alkalinity (TA)

Bicarbonate is the major form of alkalinity in natural water. When the number of dissolved carbonates & bicarbonates increase, TA also increases.¹⁷ The value of alkalinity of the Yamuna river water varies from 76 mg/L to 728 mg/L during premonsoon as shown in figure 2(e). The total alkalinity in segment III and segment IV was much above the permissible limit by WHO and thus the river is unfit for irrigation and drinkingpurpose. Total alkalinity concentration showed a 43% decrease inpostmonsoon as compared to the season of pre monsoon. An increase in concentration of total alkalinity was found in last 10 years and found to be varying from 175-310 mg/L in 2013¹⁸ to 678-723 mg/L in 2015¹⁹ and 76-728 mg/L (present study).  The overall alkalinity is within the WHO limits but is higher in the downstream areas of Delhi to Agra. Total alkalinity increases with increase in Cl^-, Mg²⁺, Ca²⁺, Na⁺, K⁺ and PO₄^3- as found by the correlation matrix.

Chloride (Cl^-)

Concentration of Cl^-in water shows the presence of organic waste mainly of animal origin.²⁰ The industrial waste also adds the chloride load. The high concentration of chloride in Segment III and segment IV may be due to different domestic activities occurring along the river. The chloride concentration in pre-monsoon season of Yamuna River water from 14 mg/L to 3690 mg/L (Figure 2(f)) while during post-monsoon the range from 4mg/L to 2240mg/L with a total reduction of 19% which may be the effect of dilution due to monsoon. Different researchers observed the concentration of Cl^-1 for Yamuna River water and concluded a continuous increase in downstream river water of Cl^-1 concentration.

Sulphate (SO₄^2-)

The contamination of sulphate in the river water comes through sewage chemical effluents from industries, agricultural runoff containing leachates of gypsum, effluents coming from tanneries, paper mills etc.²¹ The sulphate concentration in Yamuna River water in pre-monsoon season ranges from 1.66mg/L to 274.92mg/L (Figure 2(g)). Due to the dilution, there is nearly 31.7% reduction in sulphate concentration as compare to premonsoon season. Sulphate is common parameter of water and does not have much impact on soil but a high concentration is harmful to both for human and aquatic life.²²

Phosphate (PO₄^3-)

The phosphate contamination in natural water is very small as it is actively taken up by plants.²³ Agricultural runoff contains phosphate fertilizers and municipal sewage containing detergents are main source of PO₄^3- in river water. Concentration of phosphate varied from 0.038mg/L at sight S-7 to 19.97 mg/L at site S-34 (Figure 2(h)) in pre-monsoon season which is much higher than WHO limits. The range of PO₄^3- during post-monsoon was found from 0.02mg/L to 13.97mg/L (figure 2(h)) with a reduction of 34.8% due to seasonal variation. The PO₄^3- pollution is associated with eutrophication and 0.08 ppm of PO₄^3- is critical value of phosphate for appearance of eutrophication.²⁴

Calcium (Ca²⁺) and Magnesium (Mg²⁺)

Calcium and Magnesium are generally found in a state of equilibrium in all kinds of water with magnesium concentration slightly lower than calcium.¹³ High concentration of Magnesium effects the crop yield adversely as well as act as laxatives to human beings²⁵ where Calcium as such does not show any hazardous effect on human effect.²⁶ The concentration of Mg²⁺ and Ca²⁺ varies from 8.78-106.87mg/L and 15.43 -210.34 mg/L in pre monsoon where as they were found to be varying from 9.07-112.43 mg/L and 16.8-150.4 mg per Liter in postmonsoon season represent in figure 2(i), (j).

Sodium (Na⁺) and Potassium (K⁺)

Sodium ion does not produce hardness to water but it is an essential parameter as it determines the feasibility of water for irrigation and drinking purpose. A very high concentration of sodium ion was found in segment II, segment III and segment IVshowing that water in these segments is unfit for irrigation and drinking. If this water is used for agricultural purposes then it is hazardous for crops. Potassium is considered as an essential nutrient and its concentration varied from 7.39 mg/L to 38.2 mg/L in pre monsoon whereas its values in the season of post monsoonwas 5.41 mg/L to 25.93 mg/L as shown in figure 2(k), (l) which is very less than the set limit of WHO.

Table 2: Range, Mean, Standard Deviation of different parameters in whole Yamuna stretch (a) Premonsoon season and (b) Postmonsoon season

Weighted Arithmetic Water Quality Index

WQI of river Yamuna was calculated fordifferent segments for all analysed parameters are shown in Table 3 and Figure 3.

Table 3: Calculations of WAWQI for different segments of study area, Segment-I(Mountainous region),  Segment-II(Haryana region), Segment-III(Delhi region), Segment-IV(Uttar Pradesh region)

Figure 3: WAWQI for different segments of Yamuna River. Click here to view Figure

Thewater quality values were in the range of poor to unfit for drinking purpose using the method of WAWQI at all sampling sites. For segment-I the water quality was found poor with 71.74 values which fall in category of poor in the scale of WAWQI. The qualities of river water degrade as we move down from segment-II of Haryana to Segment-III and segment-IV which fall in the category of very poor to unsuitable for drinking.

Statistical Analysis of different parameters

Correlation matrix among the different physical &chemical parameters of water samples showsinterdependence of different parameters, and also suggests about the sources of pollutants as shown in Table 4.

Table 4: The correlation matrix for various physico-chemical water quality parameters

Positive correlation was observed between all studied parameters excluded pH and total hardness, pH and calcium and between pH and phosphate. In correlation matrix of various physico-chemical parameters, the linear correlations found were not positive every time. There is too strong (0.99-0.9) correlation, others mean (0.66-0.61) correlation and some quite weak (0.27-0.01) correlations. A significant positive correlation with too strong category was observed in EC and TDS, EC and Cl^-, TDS and Cl^- , TDS and Mg²⁺ , Cl^- and Na⁺, Cl^- and PO₄^3-, Ca²⁺ and Mg²⁺ whereas a significant -ve correlation was observed between pH and hardness.

Conclusion

The values of all the physico-chemical parameters from Delhi to Agra are beyond permissible limits of WHO. So, Yamuna river water is not currently fit for drinking, bathing, washing purpose over this stretch. The WQI calculated for this stretch put the water in E categories in all three segments except Segment-I rendering it unfit for any purpose. The government river action plans appear to be bringing no significant results. There are only two options which can make the river pollution free: either stop all types of wastes mixing with river water or develop a technique to redress the wastes of all type so that river water can be cleaned quickly and efficiently in large volumes. The various parameters indicate that pollution from all sources-industrial, municipal and agricultural sources are responsible for the pollution of Yamuna river water. An approach to tackle all the three sources will have to be devised in order to make Yamuna river water fit for human use again. Further studies in different season by taking into consideration including heavy metals and trace organic compounds are recommended.

Acknowledgement

The author(s) duly acknowledge the infrastructural facilities provided by DCRUST, Murthal.

Funding sources

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Conflict of Interest

The author(s) declares no conflict of interest.

Data Availability Statement

The manuscript incorporates all datasets produced or examined throughout this research study.

Ethics Statement

This research did not involve human participants, animal  subjects, or any material that requires ethical approval.

Informed Consent Statement

This study did not involve human participants, and therefore, informed consent was not required.

Authors’ Contribution

All study completed by the authors at Deenbandhu Chhotu Ram University Of Science And Technology, Murthal in Centre of Excellence for Energy and Environmental Studies with assistance from the authors.

Anita Singh: Conceptualisation; Methodological Analysis; Investigation; Writing – original draft; Writing – review & editing.

Naresh Kumar and Ekta Antil: Field Sampling, Writing – review & editing

Sudesh Chaudhary and Brijnandan Singh Dehiya: Supervision; Project administration; Writing – review & editing

References

1. Varma K., Jha P. K. Spatial and seasonal variations in nutrient load and trophic status of Ganga and Yamuna rivers in Uttar Pradesh, India. Water Supply. 2023;23(6):2553-2574.
   CrossRef
2. Shrestha A. K., Rai M., Pokhrel J., Karki S., Poudel D., Karki S., Niroula S., Koirala R.P., Shrestha G.K., Shah B. R. A preliminary assessment of spatial variation of water quality of Ratuwa river. Plos one. 2023;18(5):e0285164.
   CrossRef
3. Rajan S., Nandimandalam J. R. (2024). Environmental health risk assessment and source apportion of heavy metals using chemometrics and pollution indices in the upper Yamuna river basin, India. Chemosphere.2024;346, 140570.
   CrossRef
4. Chaurasia A. K., Pandey H. K., Tiwari S. K., Prakash R., Pandey P., Ram A. Groundwater quality assessment using water quality index (WQI) in parts of Varanasi District, Uttar Pradesh, India. Journal of the Geological Society of India. 2018;92:76-82.
   CrossRef
5. Majumder P. (2023). Development of Organized Manufacturing Sector Across Indian Atates-A Spatial Approach. J Ind Pollut Control. 39:005.
   CrossRef
6. Alam A., Singh A. Groundwater quality assessment using SPSS based on multivariate statistics and water quality index of Gaya, Bihar (India). Environmental Monitoring and Assessment. 2023;195(6):687.
   CrossRef
7. Upadhyay A., Chandrakala M. Study of physico – chemical parameters to obtain WQI of Yamuna river water, New Delhi, India. Magnesium. 2017;319:325.
8. 8.    Kumar T., Eswari J. S. Review and perspectives of emerging green technology for the sequestration of carbon dioxide into value-added products: An intensifying development. Energy & Fuels. 2023;37(5):3570-3589.
   CrossRef
9. Krishan A., Mishra R. K., Khursheed A. Assessment of water quality using water quality index: A case study of the River Gomti, Lucknow, Uttar Pradesh, India. Urban Water J. 2022;19(5):520-530.
   CrossRef
10. Mmonwuba N. C., Mmaduabuchi A., Azubuike O., NzubeTheophilus N., Chukwuemelie C. The Effect of Industrial Waste Effluent on Waterquality: A Case Study of Otamiri River, Owerri, Imo State. Journal of Engineering Research and Reports.2023;24(4):15-25.
    CrossRef
11. Wang F., Li W., Wang H., Hu Y., Cheng H. The leaching behavior of heavy metal from contaminated mining soil: The effect of rainfall conditions and the impact on surrounding agricultural lands. Science of the Total Environment.2024;914:169877.
    CrossRef
12. Devatha C. P., Vishal A. V., Rao J. P. C. Investigation of physical and chemical characteristics on soil due to crude oil contamination and its remediation. Appl Water Sci. 2019;9(89):1-10.
    CrossRef
13. Chergui F. H., Errahmani M. B., Benouaklil F., Hamaidi M. S. Preliminary Study on Physico-Chemical Parameters and Phytoplankton of Chiffa River (Blida, Algeria). J Ecosyst. 2013;2013(1):148793.
    CrossRef
14. Chapman D. V. Water quality assessment: a guide to the use of biota, sediment and water in environmental monitoring. CRC Press. 2021.
    CrossRef
15. Iloms E., Ololade O. O., Ogola H. J., Selvarajan R. Investigating industrial effluent impact on municipal wastewater treatment plant in Vaal, South Africa. Int J Environ Res Public Health. 2020;17(3):1096.
    CrossRef
16. Zaghloul A., Saber M., El-Dewany C. Chemical indicators for pollution detection in terrestrial and aquatic ecosystems. Bull Natl Res Cent. 2019;43:156. doi:10.1186/s42269-019-0203-x.
    CrossRef
17. Islam M. S., Majumder S. M. M. H. Alkalinity and hardness of natural waters in Chittagong City of Bangladesh. Int J Sci Bus. 2020;4(1):137-150.
18. Gupta N., Yadav K. K., Kumar V., Singh D. Assessment of Physicochemical Properties of Yamuna River in Agra City. Int J Chem Tech Res. 2013;5(1):528-531.
19. Dubey R. S. Assessment of Water Quality Status of Yamuna River and its Treatment by Electrode Based Techniques. Int J Eng Sci Res Technol. 2016;1(5):448-455.
20. Bozorg-Haddad O., Delpasand M., Loáiciga H. A. Water quality, hygiene, and health. In: Economical, political, and social issues in water resources. Elsevier. 2021:217-257.
    CrossRef
21. Folarin G. M., Badmus B. S., Akinyemi O. D., Idowu O. A., Oke A. O., Badmus G. O. Groundwater quality assessment using physico-chemical parameters and pollution sources apportionment in selected farm settlements of Southwestern Nigeria. International Journal of Energy and Water Resources.2023;7(1):85-103.
    CrossRef
22. Amoatey P., Baawain M. S. Effects of pollution on freshwater aquatic organisms. Water Environment Research. 2019;91(10):1272-1287.
    CrossRef
23. Zamparas M., Kapsalis V. C., Kanteraki A. E., Vardoulakis E., Kyriakopoulos G. L., Drosos M., Kalavrouziotis I. K. Novel composite materials as P-adsorption agents and their potential application as fertilizers. Glob Nest J. 2019;21(1):48-57.
24. Sathiyamurthi S., Nalini S., Sivasakthi M. Phosphate: Sources, Method of Analysis and Treatment. Handbook of Water Pollution. 2024:235-279.
    CrossRef
25. Akram M., Thiruvengadam M., Zainab R., Daniyal M., Bankole M. M., Rebezov M., Shariati M. A., Okuskhanova E. Herbal medicine for the management of laxative activity. Curr Pharm Biotechnol. 2022;23(10):1269-1283.
    CrossRef
26. Ciosek ?., Kot K., Kosik-Bogacka D., ?anocha-Arendarczyk N., Rotter I. The effects of calcium, magnesium, phosphorus, fluoride, and lead on bone tissue. Biomolecules. 2021;11(4):506.
    CrossRef